Peripheral artery disease (PAD) is a globally prevalent atherosclerotic disease associated with an increased risk of cardiovascular and cerebrovascular diseases and a poor prognosis. Skeletal muscle loss (sarcopenia) is particularly common in patients with PAD and is closely associated with poor prognosis.

The aim of this study was to evaluate the area, density and fat infiltration of skeletal muscle in patients with PAD by CT, and to analyze their relationship with the degree of vascular stenosis.

A total of 233 PAD patients who underwent lower extremity CTA in Beijing Hospital were included in this study. Image segmentation was performed using Slice-O-Matic® software, and parameters such as skeletal muscle area, density, and fat infiltration were measured at L3, L4, mid-thigh, and maximum soft tissue cross section of the lower leg. At the same time, the degree of lower extremity arterial stenosis was evaluated by CTA. The lower extremity arterial stenosis severity was graded as 0 (0-30%), 1 (31-50%), 2 (51-70%), 3 (71-99%), or 4 (occlusion).Then the CTA-score was calculated by summing the stenosis scores of the abdominal aorta and the lower limb arteries.

Patients were categorized into high (n = 113) and low (n = 120) CTA score groups. Among males, those in the low score group had higher muscle indices at L3, though not statistically significant. However, thigh and calf muscle areas were significantly larger in low score males (P < 0.001). High score patients had greater intermuscular fat indices. Regression analysis indicated that vascular stenosis accounted for 5% of the variance in muscle mass, with SFA, PoA, and PTA stenosis having the strongest correlations.

Our study reveals how vascular stenosis affects muscle mass and composition in PAD patients, with the SFA, PoA, and PTA having the greatest impact due to their key role in lower limb blood supply. Severe stenosis leads to muscle mass reduction and increased fat infiltration, possibly due to chronic inflammation and oxidative stress. These findings highlight the need to address muscle health in PAD management, as targeting muscle atrophy and fat infiltration could enhance patient outcomes.

PAD severity had a significant effect on the muscles of the lower limbs, especially the stenosis of the SFA, PoA, and PTA. CT evaluation provides a new perspective for understanding muscle loss in patients with PAD.

For many colorectal cancer patients, primary surgery is the standard care of treatment. Further insights in perioperative care are crucial. The aim of this study is to assess the prognostic value of body composition for postoperative complications after laparoscopic and open colorectal surgery.

From January 2013 to 2018 all consecutive patients who underwent surgery for colorectal cancer were enrolled in this study. Patients with a preoperative CT-scan <90 days before surgery were included. All CT-scans were obtained retrospectively, and body composition was analysed using a single transverse slice at the level of the third lumbar vertebra (L3) within the Slice-O-Matic-software. The studied outcome measure was the occurrence of major postoperative complications (Clavien-Dindo grade ≥3b).

A total of 1213 patients were included in the final analyses. Multivariable analyses showed that patients with low-skeletal muscle mass Z-score (OR 0.67, 95 % CI 0.45-0.97, p = 0.036) or a high visceral adipose tissue Z-score (OR 1.56, 95 % CI 1.06-2.29, p = 0.023) were significantly associated with an increased risk of developing major postoperative complications after open surgery. In the laparoscopic group, all six body composition parameters were not significantly associated with an increased risk of developing a major postoperative complication.

In this study, open colorectal surgery in patients with either low skeletal muscle mass or high visceral adipose tissue mass was associated with increased risk of postoperative complications. Laparoscopic surgery did not show this correlation. This demonstrates the importance of using minimal invasive surgery in colorectal cancer patients and implementing this as standard care.

Women with breast cancer are predisposed to muscle mass loss, to compromised muscle quality, and to decreased strength, and these abnormalities may serve as important predictors of adverse outcomes, including mortality. The aim of this study was to evaluate the possible associations between muscle mass markers, assessed by computed tomography with the phase angle (PhA) obtained by Bioelectrical impedance analysis (BIA), and health outcomes in women with breast cancer.

retrospective study with 54 women newly diagnosed with breast cancer, aged ≥ 18 years and < 65 years; histologically confirmed diagnosis of early breast cancer (stage I-III range), and in the first chemotherapy-cycled treatment. Measurements performed: anthropometric assessments, BIA, third lumbar vertebra by computed tomography (CT) and physical function (handgrip strength, gait speed test 4 m, fatigue assessment), and blood biochemical analysis.

Lower skeletal muscle index were correlated with reduced PhA values (R² = 0.222, p = 0.0047), suggesting a worse prognosis. Logistic regression analysis showed that individuals with low muscle mass had a significantly lower likelihood of survival compared to those with normal muscle mass regardless of age and cancer stage.

low muscle mass negatively affected patient survival and was associated with lower PhA values. Phase angle emerges as a promising marker of overall health and could be a valuable clinical tool in assessing prognosis.

The aims of our study were to assess the correlations between sarcopenia and myosteatosis assessed by CT-scan at T4 and/or L3 levels and inflammation in critically ill COVID patients on ICU admission, and their respective prognostic value on day 90 death (D90-death). It is a retrospective monocentric study. Sarcopenia was defined by skeletal muscle cross sectional surface area (CSA) and myosteatosis by skeletal muscle density (SMD) at L3 and T4 levels. Inflammatory biomarkers were collected on ICU admission. Of the 239 patients, 74 died by D90; 66.6% get sarcopenia on ICU admission. CSA at T4 level was an independent risk factor for D90-death (1.66[1.03; 2.66]; p = 0.04), as were procalcitonin (2.03[1.2; 3.43]; p = 0.01) and IL-6 levels (1.56[0.96; 2.54]; p = 0.07). In addition, we found correlation factors of 0.79 (p < 0.01) between SMD at T4 and L3 levels, and a correlation factor of 0.64 (p < 0.01) between CSA at T4 and L3 levels.These results indicate a poorer prognosis following a decrease in muscle surface area, a decrease in density, and an increase in inflammatory biomarkers such as Il6. It also suggests that incorporating indices of sarcopenia with inflammatory biomarkers may improve prognostic accuracy.

Recent evidence indicates that a dysregulated host metabolism influences treatment outcomes in patients with breast cancer. We investigated the association of computed tomography (CT)-derived body composition indices with therapeutic responses in patients with hormone receptor-positive, HER2-negative advanced breast cancer (ABC) on endocrine plus CDK4/6 inhibitor (CDK4/6i) treatment.

The study involved a retrospective cohort of patients with ABC at the Yonsei Cancer Center who received CDK4/6i and aromatase inhibitors as first-line therapy between January 2017 and October 2020. Body composition parameters were estimated from the non-enhanced CT images of the third lumbar spine by commercialized deep learning software. Patients with low skeletal muscle radiodensity (SMD) were defined as patients with SMD of low tertile (≤ 28.7 Hounsfield Units). The primary outcome was progression-free survival (PFS).

Among the 247 female participants (median age, 53 years; mean body mass index [BMI], 23.7 kg/m2), 45.7% had disease progression or death during a median follow-up of 36.4 months. After adjusting for age and visceral metastasis, SMD was the only independent predictor among body composition parameters for worse PFS (adjusted hazard ratio [HR] = 1.20 per standard deviation decrement, 95% CI: 1.01-1.42, p = 0.041), whereas BMI, muscle area, and fat area were not. Participants with low SMD had a higher risk of progression than those without (PFS, 27.2 vs. 51.1 months, p = 0.009; adjusted HR 1.84, 95% CI: 1.22-2.76, p = 0.003). Strong associations between low SMD and poor PFS were observed in groups with pre-menopause status (HR, 3.04 vs. 1.19 in post-menopause; 95% CI: 1.54-5.99, p for interaction < 0.05) and without visceral metastases (HR, 2.95 vs. 1.19 in with visceral metastases; 95% CI: 1.59-5.49, p for interaction < 0.05).

CT-defined low SMD predicts poor treatment outcomes in patients with ABC undergoing first-line treatment with aromatase inhibitors and CDK4/6i.

This study aimed to compare shear-wave elastography (SWE) USG and composition analysis of CT on the right mid-rectus femoris muscle (RF) in both healthy adults and chronic kidney disease (CKD) patients.

Sixty-three healthy adults and 22 CKD patients were included. One musculoskeletal radiologist performed right RF SWE USG, while two radiologists measured shear-wave velocity (SWV) from the same SWE images. CT scan was performed, and muscle composition was measured using imageJ, categorized into four HU-based compositions. Interobserver agreement for SWV between two readers was evaluated. Correlations between SWV and CT compositions were analyzed using Pearson's or Spearman's correlation.

SWV of healthy group was significantly higher than CKD group by each reader (p = 0.030 and 0.038). The percentage of low-density muscle was higher in CKD group than healthy group (p < 0.001), and the percentage of normal density muscle was higher in healthy group than CKD (p < 0.001) by each reader. Interobserver agreement of SWV by the two readers was almost perfect in both groups (k = 0.957-0.984, 0.959-0.993). There was a statistically significant correlation between SWV and the percentage of normal density muscle on CT in both healthy adults and CKD patient groups (Reader 1, r = 0.318-0.480, p = 0.001 and 0.024; Reader 2, r = 0.511-0.518, p < 0.001 and p = 0.013).

SWV demonstrated a significant correlation with the percentage of normal density muscle on CT in both healthy adults and CKD patients by each reader. SWE provides a radiation-free approach that may offer an objective method for evaluating muscle quality, potentially making it an option for muscle monitoring.

To investigate the effect of preoperative muscle quality on functional outcomes after total hip arthroplasty (THA).

Retrospective cohort study.

We included 426 patients who underwent primary THA between 2015 and 2022 to evaluate the relationship between preoperative muscle quality and 1-year functional outcomes following THA.

The muscle cross-sectional area (CSA) and density at baseline were measured using preoperative computed tomography. The CSA was further divided based on muscle quality into intramuscular adipose tissue (IMAT), normal-density muscle (NDM), and low-density muscle (LDM) based on muscle density thresholds. According to their functional recovery, patients were classified into sufficient functional recovery [Harris hip score (HHS) ≥89] and insufficient functional recovery (HHS <89) groups based on their HHS at 1-year post THA. Propensity score matching was performed to balance the baseline characteristics of the patient groups, including age, sex, body mass index, HHS, University of California, Los Angeles activity scores, and gait speed. The preoperative muscle density, CSA, IMAT, NDM, and LDM of the gluteus maximus, gluteus medius, gluteus minimus, iliopsoas, and rectus femoris muscles were compared between the groups.

Ninety matched pairs were analyzed following covariate adjustment using propensity scores. The insufficient group had significantly more IMAT in all muscles preoperatively than did the sufficient group (P < .05). In addition, the muscle density and NDM of the gluteus maximus, gluteus medius, and iliopsoas in the insufficient group were significantly worse than those in the sufficient group (P < .05). Conversely, the 2 groups showed no significant differences in LDM.

Our results revealed that patients with a significantly higher IMAT prevalence and reduced NDM preoperatively were less likely to experience significant improvement after THA. Therefore, we propose that undergoing THA with good muscle quality represents the optimal timing for achieving higher functional recovery.

Deep learning-based image segmentation has allowed for the fully automated, accurate, and rapid analysis of musculoskeletal (MSK) structures from medical images. However, current approaches were either applied only to 2D cross-sectional images, addressed few structures, or were validated on small datasets, which limit the application in large-scale databases. This study aimed to validate an improved deep learning model for volumetric MSK segmentation of the hip and thigh with uncertainty estimation from clinical computed tomography (CT) images. Databases of CT images from multiple manufacturers/scanners, disease status, and patient positioning were used. The segmentation accuracy, and accuracy in estimating the structures volume and density, i.e., mean HU, were evaluated. An approach for segmentation failure detection based on predictive uncertainty was also investigated. The model has improved all segmentation accuracy and structure volume/density evaluation metrics compared to a shallower baseline model with a smaller training database (N = 20). The predictive uncertainty yielded large areas under the receiver operating characteristic (AUROC) curves (AUROCs ≥ .95) in detecting inaccurate and failed segmentations. Furthermore, the study has shown an impact of the disease severity status on the model's predictive uncertainties when applied to a large-scale database. The high segmentation and muscle volume/density estimation accuracy and the high accuracy in failure detection based on the predictive uncertainty exhibited the model's reliability for analyzing individual MSK structures in large-scale CT databases.

F-18-fluorodeoxyglucose positron emission tomography (FDG-PET)/computed tomography (CT) can be used to measure bone mineral density (BMD), cross-sectional muscle area (CSMA), Hounsfield units (HU) of liver and muscle, subcutaneous adipose tissue (SAT), abdominal visceral adipose tissue (VAT), and glucose metabolism. The present study aimed to identify age-related changes in body composition and glucose metabolism in Korean using opportunistic FDG-PET/CT imaging.

We analyzed FDG-PET/CT, clinical history, and laboratory data abstracted from the medical records of patients who underwent health screening at a single institute between 2017 and 2022.

In total, 278 patients were included in the analysis (male:female=140:138). Age and body mass index were positively correlated in female, but negatively correlated in male. BMD decreased with age more in female, and CSMA decreased with age more in male. Muscle HU decreased with age for both sexes. In female, SAT and VAT increased with age; and in male, SAT decreased slightly while VAT remained stable. Muscle glucose metabolism showed no association with age in male but increased with age in female. CSMA correlated positively with BMD overall; and positively correlated with VAT and SAT in male only. In female only, both SAT and VAT showed negative correlations with glucose metabolism and correlated positively with muscle glucose metabolism. Liver HU values were inversely correlated with VAT, especially in female; and positively correlated with muscle glucose metabolism in female only.

FDG-PET/CT demonstrated distinct patterns of age-related changes in body composition and glucose metabolism, with significant differences between sexes.

Surgery combined with chemotherapy remains the mainstay of treatment for advanced epithelial ovarian cancer. It is important to evaluate the occurrence of postoperative complications before operation and to prevent them. The purpose of this study is to investigate the role of sarcopenia diagnosed by CT scans in predicting postoperative complications in patients with ovarian cancer.

Patients with PDS or IDS in the First Affiliated Hospital of Wenzhou Medical University from August 2017 to August 2022 were included. Sarcopenia was identified using CT scans at the T12 level. According to the Clavien-Dindo classification, postoperative complications are considered to have occurred in grades 2 and above. Logistic regression analysis was used to identify risk factors contributing to postoperative complications. P < 0.05 was considered statistically significant.

A total of 139 patients were included. Sarcopenia was observed in 24(17.27%) patients with advanced epithelial ovarian cancer. Compared to the non-sarcopenia group, the sarcopenia group had a higher incidence of postoperative complications (62.50% VS 42.61%, p = 0.032). Multivariate logistic analysis confirmed sarcopenia (OR = 3.241, p = 0.026), age over 65 years (OR = 3.296, p = 0.005), and intraoperative bleeding (OR = 1.002, p < 0.001) as independent predictors of postoperative complications in ovarian cancer.

Sarcopenia diagnosed based on CT body composition analysis may serve as a potential predictor for postoperative complications. Further research is warranted to explore preventive strategies and interventions to improve outcomes in this population.

Background: Skeletal muscle mass depletion adversely affects critically ill patient outcomes. Standardized methods for assessing muscle mass in this population are limited, particularly regarding changes during ICU stays and their implications for risk stratification. Methods: In this secondary analysis of our prospective data registry of surgical ICU patients, we used a single slice extracted from a computed tomography scan to determine the patient's direction of absolute change in skeletal muscle mass between two different time points (-14 d to +0 d and +5 d to +21 d) during his or her critical illness. Results: In total, 98 surgical patients were included in the final analysis. A decrease in a patient's skeletal muscle mass is associated with prolonged mechanical ventilation compared to patients whose skeletal muscle mass remained the same or increased (415 vs. 42 h, p = 0.003). Patients losing skeletal muscle mass also needed to be ventilated more frequently (88.3% vs. 60.5%, p = 0.002), had a higher rate of tracheotomy (50.0% vs. 23.7%, p = 0.011), and had an increased ICU length of stay (22 vs. 13 days, p = 0.045). Conclusions: A decreased skeletal muscle index in early critical illness negatively impacts ventilation parameters, highlighting the importance of monitoring and managing muscle mass changes to optimize outcomes in ICU patients.

This hypothesis-generating study aims to examine the extent to which computed tomography-assessed body composition phenotypes are associated with immune and phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT) signaling pathways in breast tumors. A total of 52 patients with newly diagnosed breast cancer were classified into four body composition types: adequate (lowest two tertiles of total adipose tissue [TAT]) and highest two tertiles of total skeletal muscle [TSM] areas); high adiposity (highest tertile of TAT and highest two tertiles of TSM); low muscle (lowest tertile of TSM and lowest two tertiles of TAT); and high adiposity with low muscle (highest tertile of TAT and lowest tertile of TSM). Immune and PI3K/AKT pathway proteins were profiled in tumor epithelium and the leukocyte-enriched stromal microenvironment using GeoMx (NanoString). Linear mixed models were used to compare log2-transformed protein levels. Compared with the normal type, the low muscle type was associated with higher expression of INPP4B (log2-fold change = 1.14, p = 0.0003, false discovery rate = 0.028). Other significant associations included low muscle type with increased CTLA4 and decreased pan-AKT expression in tumor epithelium, and high adiposity with increased CD3, CD8, CD20, and CD45RO expression in stroma (p < 0.05; false discovery rate > 0.2). With confirmation, body composition can be associated with signaling pathways in distinct components of breast tumors, highlighting the potential utility of body composition in informing tumor biology and therapy efficacies.

Background and Clinical Significance: Sarcopenia, characterized by muscle loss and fat infiltration, poses a significant health burden for aging populations. Quantitative Color 2D and 3D radiodensitometry provides a powerful tool to monitor muscle quality and quantity through CT imaging. This study assessed the impact of a ten-year-long home-bed gym exercise intervention on muscle quality in an elderly subject using CT-derived radiodensitometric analysis. The study involved two comparative analyses: Study A, which compared knee-to-ankle CT scans of the subject between 2013 and 2023; and Study B, which compared the subject's 2023 thigh CT scan with a cohort of 2500 elderly Icelandic individuals from the AGES-Reykjavik study.

A 70-year-old male began a home-based Full-Body In-Bed Gym exercise program in 2013. Quantitative muscle volume and radiodensity measurements were performed using CT at baseline and after ten years.

Study A shows significant improvements in muscle volume observed in the knee-to-ankle region, while a slower decline in radiodensity was noted, indicating substantial preservation of muscle quality despite the expected decay of ten-year aging. For instance, muscle volume increased by 15% in the left Soleus muscle and by 6% in the right Soleus muscle, while the average radiodensity decreased by 12-17 HU. The subject's thigh muscle quality at 80-years-old is above the AGES-Reykjavik's cohort average, with reduced fat infiltration.

Long-term home Full-Body In-Bed Gym, a low-impact exercise, can mitigate aging sarcopenia, as evidenced by improved tissue radiodensity and muscle mass substantial preservation. This suggests potential applications in personalized healthcare strategies to enhance muscle preservation among aging populations.

We investigated whether thoracic skeletal muscle mass index at the diagnosis of aspiration pneumonia (AP) is a predictor for AP recurrence and explored predicting factors for AP recurrence in patients with stroke.

This study retrospectively reviewed data of patients with AP who were diagnosed with stroke and who had full medical follow-up data from January 2014 to July 2020 in the Catholic University of Korea Bucheon St. Mary's Hospital. AP was defined based on clinical signs and/or symptoms suggestive of pneumonia and radiologic findings of pneumonic infiltrations in the dependent portions of the lung. We measured thoracic muscle volume using the cross-sectional area (CSA) of the erector spinae muscle (ESMCSA, cm2) at the 12th vertebral region. Computed tomography scans at the time of AP diagnosis during the acute stroke period were used for analysis and respective CSAs were divided by height squared (m2) to yield the muscle index at T12 (T12MI, cm2/m2) to normalize for stature. Multivariate logistic regression models were used to investigate relationships between clinical parameters and AP recurrence.

During the study period, a total of 268 stroke patients with dysphagia who developed AP were analyzed. The mean T12MI of patients with and without recurrence of AP was 622.3±184.1 cm2/m2 and 708.1±229.9 cm2/m2, respectively (P = 0.001). Multivariate logistic regression revealed that lower T12MI (P = 0.038) and older age (P = 0.007) were independent predictors of AP recurrence in patients with stroke and dysphagia.

Low thoracic muscle index at the diagnosis of initial AP after stroke can predict subsequence AP recurrence.

Phase angle (PhA) is a biomarker derived from raw bioelectrical impedance analysis (BIA) values: resistance (R) and reactance (Xc). PhA reflects cellular membrane integrity and, as a result, has been considered a marker of fluid distribution, making it a potential prognostic indicator. A growing body of research demonstrates independent associations between PhA and muscle strength, mass, and composition. In this context, PhA has the extra potential to serve as a marker of muscle quality. However, the evidence supporting its use for this purpose is not well established. This study aimed to investigate the relationship between PhA and markers of muscle quality.

This systematic review and meta-analysis (Internal Prospective Register of Systematic Reviews - PROSPERO on a registration code: CRD42024507853) focused on observational studies assessing the relationship between PhA and markers of both concepts of muscle quality: the muscle quality index (MQI: strength by a unit of mass) and the muscle composition (i.e., skeletal muscle radiodensity [SMD], muscle echogenicity, muscle fat fraction, inter- and intramuscular adiposity). Risk of bias was assessed using the Newcastle-Ottawa Scale (NOS) and Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2), while the certainty of evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. Meta-analyses with a random-effects model were conducted.

Seventeen studies were included in this systematic review, encompassing 2710 participants. Meta-analyses demonstrated that PhA had a moderate positive correlation coefficient with SMD (4 studies, 924 participants; r = 0.54, 95 % confidence interval (CI) 0.38 to 0.69, heterogeneity (I2) = 92 %) and good accuracy (85 %) for classifying low SMD (2 studies, 390 participants; Area Under the Curve - AUCpooled 0.85, 95 % CI 0.78 to 0.92, I2 = 0 %). PhA was inversely-moderately correlated with muscle echogenicity (8 studies, 1401 participants; r = - 0.42, 95 % CI - 0.57 to - 0.24, I2 = 82 %) and positively-weakly correlated with MQI (2 studies, 191 participants; r = 0.36, 95 % CI 0.21 to 0.49, I2 = 17 %). All studies had a higher risk of bias. The certainty of evidence ranged from low to very low.

Despite technical challenges, this study demonstrates the potential of PhA as a surrogate marker for muscle quality, particularly expressing muscle composition (SMD). Future studies should utilize BIA with standardized protocols to potentially establish specific cutoff values for PhA, thereby enhancing its diagnostic accuracy and clinical applicability. These studies could additionally explore the mechanisms underlying the associations between PhA and muscle quality aspects. In cases where technical factors are not easily controlled, the use of standardized PhA (SPhA), which converts PhA into Z-scores, could be beneficial. Although this warrants investigation, this approach (SPhA) has the potential to account for variables such as age, sex, device differences, and health status.

While immune checkpoint inhibitors (ICIs) are increasingly reshaping the therapeutic landscape of non-small-cell lung cancer (NSCLC), only a limited proportion of patients achieve a relevant and long-lasting benefit with these treatments, calling for the identification of clinical and, ideally modifiable, predictors of efficacy. Body composition phenotypes may reflect aspects of patients' immunology and thereby their ability to respond to ICIs. This study aims to explore the possible association between pre-treatment body composition phenotypes, tumour response, and clinical outcomes in patients receiving first-line pembrolizumab monotherapy for advanced NSCLC.

A retrospective review of consecutive patients with treatment-naïve NSCLC and PD-L1 expression ≥50% undergoing pembrolizumab at three academic institutions was performed. Pre-treatment body composition parameters were measured at the third lumbar vertebra level by computed tomography, defined using pre-established cut-offs. Primary endpoint was objective response rate (ORR), secondary endpoints progression-free survival and overall survival (PFS and OS), compared through the log-rank test and the Cox proportional hazards model.

Data from 134 patients (93 males [69.4%] and 41 females [30.6%]) were collected. Median age was 69 years (range 36-85), with a median follow-up of 12 months (range 1-131). The median body mass index (BMI) was 24.5 (IQR 21.5; 26.1) kg/m2. Overall, 59.0% and 51.5% of patients met established radiographic criteria for evidence of sarcopenia and myosteatosis, respectively, which occur across the BMI spectrum. Multivariate regression analysis, adjusted for co-morbidities, revealed that sarcopenia (aOR 5.56, 95% CI. 2.46-12.6, P < 0.0001) and low intermuscular adipose tissue (IMAT) area (aOR 1.83, 95% CI. 1.22-2.83, P = 0.001) were associated with a lower rate of ORR (30.4% vs. 70.5%, P < 0.0001 and 30.7% vs. 73.2%, P < 0.0001, respectively). Moreover, both in univariate and multivariate analysis, adjusted for co-morbidities, low performance status according to the Eastern Cooperative Oncology Group scale (ECOG PS), sarcopenia and low IMAT were significantly related to short PFS (ECOG PS: aHR 2.73, 95% CI 1.60-4.66, P < 0.0001; sarcopenia: aHR 2.24, 95% CI 1.37-3.67, P = 0.001; IMAT depot: aHR 2.26, 95% 1.40-3.63, P = 0.002) and OS (ECOG PS: aHR 3.44, 95% CI 1.96-6.01, P < 0.0001; sarcopenia: aHR 4.68, 95% CI 2.44-8.99, P < 0.0001; IMAT depot: aHR 3.18, 95% 1.72-5.88, P < 0.0001).

Skeletal muscle abnormalities, apparently frequent in NSCLC, potentially represent intriguing predictive markers of response to ICIs and survival outcomes. Large prospective trials are needed to validate ICIs responders' clinical biomarkers.

The phenomenon of myosteatosis, characterized by the accumulation of ectopic fat within and surrounding skeletal muscle, has been identified as a potential adverse factor in the prognosis of individuals with cancer. This systematic review and meta-analysis sought to examine the association between myosteatosis and survival rates as well as postoperative complications in patients diagnosed with pancreatic cancer (PC).

A systematic search was conducted on Web of Science, Embase, and Pubmed until March 25, 2024, to identify pertinent articles assessing the prognostic significance of myosteatosis in patients with PC, utilizing the search terms: myosteatosis, PC, and prognosis. The selected studies were utilized to investigate the prognostic impact of myosteatosis on the survival of PC patients. Forest plots and pooled effects models were employed to present the findings of this meta-analysis. The quality of the included studies was evaluated using the Newcastle-Ottawa Scale (NOS). A total of 565 studies were initially identified from the three databases, with 14 retrospective cohort studies ultimately included in the final quantitative analysis.

The meta-analysis revealed a significant association between myosteatosis and both overall survival (OS) [Hazard Ratio (HR): 1.55, 95 % Confidence Interval (CI): 1.40-1.72, P < 0.001, I2 = 0.0 %] and recurrence-free survival (RFS) (HR 1.48, 95 % CI: 1.17-1.86, P = 0.001, I2 = 0.0 %) in patients diagnosed with PC. Subgroup analyses revealed that myosteatosis continued to be a negative prognostic factor in PC across various treatment modalities, patient populations, and myosteatosis assessment methods. Additionally, myosteatosis was identified as a risk factor for postoperative complications, with a pooled odds ratio of 2.20 (95 % CI: 1.45-3.35, P < 0.001, I2 = 37.5 %). All included studies achieved NOS scores of 6 or higher, indicating a relatively high level of methodological quality.

These results suggest that myosteatosis is significantly associated with both survival outcomes and postoperative complications in patients with PC.

This study explored if computerized tomography-derived body composition parameters (CT-BCPs) are related to malnutrition in severely injured patients admitted to the Intensive Care Unit (ICU).

This prospective cohort study included severely injured (Injury Severity Score ≥ 16) patients, admitted to the ICU of three level-1 trauma centers between 2018 and 2022. Abdominal CT scans were retrospectively analyzed to assess the CT-BCPs: muscle density (MD), skeletal muscle index (SMI), and visceral adipose tissue (VAT). The Subjective Global Assessment was used to diagnose malnutrition at ICU admission and on day 5 of admission, and the modified Nutrition Risk in Critically ill at admission was used to assess the nutritional risk.

Seven (11%) of the 65 analyzed patients had malnutrition at ICU admission, increasing to 23 patients (35%) on day 5. Thirteen (20%) patients had high nutritional risk. CT-BCPs were not related to malnutrition at ICU admission and on day 5. Patients with high nutritional risk at admission had lower MD (median (IQR) 32.1 HU (25.8-43.3) vs. 46.9 HU (37.7-53.3); p < 0.01) and higher VAT (median 166.5 cm2 (80.6-342.6) vs. 92.0 cm2 (40.6-148.2); p = 0.01) than patients with low nutritional risk.

CT-BCPs do not seem related to malnutrition, but low MD and high VAT may be associated with high nutritional risk. These findings may prove beneficial for clinical practice, as they suggest that CT-derived parameters may provide valuable information on nutritional risk in severely injured patients, in addition to conventional nutritional assessment and screening tools.

Level III, Prognostic/Epidemiological.

Assessment of malnutrition-related muscle depletion with computed tomography (CT) using skeletal muscle index (SMI) and muscle radiation attenuation (MRA) at the third lumbar vertebra is well validated. However, SMI and MRA values at other vertebral locations and interchangeability as parameters in different types of cancer are less known. We aimed to investigate whether adult patients with different types of cancer show differences in SMI and MRA at all vertebral levels.

We retrospectively analyzed CT images from 203 patients:120 with head and neck cancer, esophageal cancer, or lung cancer (HNC/EC/LC) and 83 with melanoma (ME). Univariate and multivariate linear regression analyses determined the association between SMI (cm²/m2) and MRA (Hounsfield units) and cancer type at each vertebral level (significance corrected for multiple tests, P ≤ 0.002). The multivariate analyses included age, sex, cancer stage, comorbidity, CT protocol, and body mass index (BMI) (MRA analyses).

SMI was lower in the HNC/EC/LC group versus the ME group at all vertebral levels, except C4 through C6 in the multivariate analyses. Female sex was associated with lower SMI at almost all levels. MRA was similar at most vertebral levels in both cancer groups but was lower at C1 through C4, T7, and L5 in the multivariate analyses. Use of contrast fluid and BMI were associated with higher MRA at all vertebral levels except T8 to T9 and C1 to C2, respectively.

SMI, but not MRA, was lower in HNC/EC/LC patients than in ME patients at most vertebral levels. This indicates that low muscle mass presents itself across the various vertebral muscle areas. MRA may less consistently mark muscle depletion in malnourished patients.

 Respiratory muscle strength affects pulmonary function after lung resection; however, the role of diaphragm density, an emerging index of muscle quality, remains unexplored. We investigated the role of crural diaphragm density (CDD) in respiratory complications (RC) after video-assisted thoracoscopic surgery (VATS) lobectomy for lung cancer.

 A total of 118 patients were retrospectively enrolled between 2015 and 2022. Exclusion criteria were neoadjuvant therapy, thoracic trauma, and previous cardiothoracic and abdominal surgery. Demographic, functional, and radiological data were collected. The CDD in Hounsfield Unit (HU) was defined as the average of the density of the right and left crural diaphragm at the level of the median arcuate ligament on computed tomography axial images. RC included sputum retention, respiratory infections, atelectasis, pneumonia, respiratory failure, and acute respiratory distress syndrome.

 The prevalence of postoperative RC was 41% (48 of 118). RC occurred mostly in males (64.6 vs. 44.3%, p = 0.04), current smokers (41.7 vs. 21.4%, p = 0.02), a longer surgical procedure (210 vs. 180 minutes, p = 0.04), and a lower CDD (42.5 vs. 48 HU, p = 0.05). The optimal cutoff of CDD was 39.75 HU (sensitivity 43%, specificity 82%, accuracy 65%, area under the curve: 0.62, p = 0.05), slightly above the threshold for reduced muscle mass (<30 HU). By multivariable logistic regression a CDD ≤ 39.75 HU (hazard ratio [HR]: 3.134 [95% confidence interval, CI: 1.111-8.844], p = 0.03) and current smoking (HR: 2.733 [95% CI: 1.012-7.380], p = 0.05) were both independent risk factors of postoperative RC.

 The CDD seems to be a simple and useful tool for predicting RC after VATS lobectomy, especially among current smokers. Such patients, identified early, could benefit from preoperative functional and nutritional rehabilitation.

To investigate the association between computed tomography-measured quality characteristics of skeletal muscle (SM) and early diagnosis of diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM).

This retrospective study included patients diagnosed with T2DM, with and without early DKD, between January 2019 and December 2021. To reduce potential bias, propensity score matching (PSM) was performed. The area and computed tomography attenuation values for SM and different abdominal adipose depots were measured. After PSM, logistic and multiple linear regression analyze were performed to analyse risk factors for early DKD.

A total of 267 patients were enrolled (mean age, 61.67 years ± 10.87; 155 men) and divided into two groups: T2DM with early DKD (n = 133); and T2DM without DKD (n = 134). After PSM, 230 patients were matched (T2DM with early DKD [n = 115]; and T2DM without DKD [n = 115]), with no statistical differences in general characteristics between the two groups (P > .05). In multivariate logistic regression analysis, high-density lipoprotein cholesterol (odds ratio [OR] 0.14; 95% confidence interval [CI] 0.04-0.49; P = .002), uric acid (OR 1.01; 95% CI 1.00-1.01; P = .006), and SM attenuation value (OR 0.94; 95% CI 0.90-0.98; P = .003) were independent risk factors for early DKD. Multiple linear regression analysis revealed significant correlations between SM attenuation value and cystatin C (β = -0.39, P = .004), urine albumin-to-creatinine ratio (β = -0.26, P = .026), and estimated glomerular filtration rate (β = 0.31 P = .009) after adjustment for confounders.

Patients with T2DM and lower SM attenuation values may exhibit a higher risk for early DKD than those with higher values, which provides a potential imaging biomarker for early DKD diagnosis.

The clinical utility of body composition in the development of complications of acute pancreatitis (AP) remains unclear. We aimed to describe the associations between body composition and the recurrence of AP.

We performed a retrospective study of patients hospitalized with AP at three tertiary care centers. Patients with computer tomography (CT) imaging of the abdomen at admission were included. A previously validated and fully automated abdominal segmentation algorithm was used for body composition analysis. Hospitalization for a recurrent episode of AP was the primary endpoint. Secondary endpoints included the development of chronic pancreatitis (CP) or diabetes mellitus (DM) in patients who were evaluated. Cox Proportional Hazards regression was used.

From a total of 347 patients, 89 (25.6%) were hospitalized for recurrent AP (median time: 219 days). Thirty-four of 112 patients (30.4%) developed CP (median time: 311 days) and 22 of 88 (25.0%) developed DM (median time: 1104 days). After adjusting for age, male sex, first episode of AP, BUN, and severity of AP, we found that obesity, body mass index, alcohol pancreatitis, and gallstone pancreatitis were significantly associated with a recurrent episode of AP. Body composition was not associated with recurrent AP. In unadjusted analysis, subcutaneous adipose tissue (SAT) (HR 0.87 per 10 cm2, p = 0.002) was associated with CP. Skeletal muscle (SM) mass approached significance for CP (p = 0.0546). Intermuscular adipose tissue (IMAT) (HR 1.45 per 5 cm2, p = 0.0264) was associated with DM.

Body composition was not associated with having a recurrent AP. At follow-up, 30% and 25% of evaluated patients developed CP and DM, respectively. A higher SAT and IMAT were associated with a lower incidence of CP and higher incidence of DM, respectively.

To analyze changes in the muscular fat fraction (FF) during immobilization at the intensive care unit (ICU) using dual-energy CT (DECT) and evaluate the predictive value of the DECT FF as a new imaging biomarker for morbidity and survival.

Immobilized ICU patients (n = 81, 43.2% female, 60.3 ± 12.7 years) were included, who received two dual-source DECT scans (CT1, CT2) within a minimum interval of 10 days between 11/2019 and 09/2022. The DECT FF was quantified for the posterior paraspinal muscle by two radiologists using material decomposition. The skeletal muscle index (SMI), muscle radiodensity attenuation (MRA), subcutaneous-/ visceral adipose tissue area (SAT, VAT), and waist circumference (WC) were assessed. Reasons for ICU admission, clinical scoring systems, therapeutic regimes, and in-hospital mortality were noted. Linear mixed models, Cox regression, and intraclass correlation coefficients were employed.

Between CT1 and CT2 (median 21 days), the DECT FF increased (from 20.9% ± 12.0 to 27.0% ± 12.0, p = 0.001). The SMI decreased (35.7 cm2/m2 ± 8.8 to 31.1 cm2/m2 ± 7.6, p < 0.001) as did the MRA (29 HU ±  10 to 26 HU ± 11, p = 0.009). WC, SAT, and VAT did not change. In-hospital mortality was 61.5%. In multivariable analyses, only the change in DECT FF was associated with in-hospital mortality (hazard ratio (HR) 9.20 [1.78-47.71], p = 0.008), renal replacement therapy (HR 48.67 [9.18-258.09], p < 0.001), and tracheotomy at ICU (HR 37.22 [5.66-245.02], p < 0.001). Inter-observer reproducibility of DECT FF measurements was excellent (CT1: 0.98 [0.97; 0.99], CT2: 0.99 [0.96-0.99]).

The DECT FF appears to be suitable for detecting increasing myosteatosis. It seems to have predictive value as a new imaging biomarker for ICU patients.

The dual-energy CT muscular fat fraction appears to be a robust imaging biomarker to detect and monitor myosteatosis. It has potential for prognosticating, risk stratifying, and thereby guiding therapeutic nutritional regimes and physiotherapy in critically ill patients.

The dual-energy CT muscular fat fraction detects increasing myosteatosis caused by immobilization. Change in dual-energy CT muscular fat fraction was a predictor of  in-hospital morbidity and mortality. Dual-energy CT muscular fat fraction had a predictive value superior to established CT body composition parameters.

To identify whether there is an association between body composition phenotypes and toxicity to chemoradiotherapy in women with cervical cancer.

This is a prospective cohort study that included 330 adult patients with cervical cancer treated with chemoradiotherapy. Computed tomography images were used to assess skeletal muscle index (SMI) and radiodensity (SMD), total adipose tissue index, and visceral adipose tissue index. Chemoradiotherapy toxicity was assessed weekly, and toxicity-induced modification of treatment (TIMT) was considered as any severe adverse event resulting in treatment interruption, delay, or dose reduction.

Approximately 45% of the patients presented at least one unfavorable body composition parameter (lower SMI, lower SMD, higher total adipose tissue index, or higher visceral adipose tissue index), 23% had two conditions, and 3% had three conditions. The incidence of toxicity ≥ grade 3 and TIMT was 55% and 30%, respectively. For adverse events ≥ grade 3, lower SMI was the determining factor for worse outcomes when evaluated alone or combined with lower SMD and normal adiposity. All body composition phenotypes were associated with TIMT, increasing the risk when both conditions were present.

Lower SMI was an independent factor for the higher number of adverse events, as it remained a risk factor when analyzed in isolation or in association with adipose tissue. Women with excess adipose tissue associated with lower muscle mass had a risk approximately 4 times higher of delaying or interrupting chemoradiotherapy. Furthermore, for the sum of unfavorable conditions, there was a progressive increase in the risk of TIMT.

Myosteatosis has emerged as an important concept in muscle health as it is associated with an increased risk of adverse health outcomes, a higher rate of complications, and increased mortality associated with ageing, chronic systemic and neuromuscular diseases, cancer, metabolic syndromes, degenerative events, and trauma. Myosteatosis involves ectopic infiltration of fat into skeletal muscle, and it exhibits a negative correlation with muscle mass, strength, and mobility representing a contributing factor to decreased muscle quality. While myosteatosis serves as an additional biomarker for sarcopenia, cachexia, and metabolic syndromes, it is not synonymous with sarcopenia. Myosteatosis induces proinflammatory changes that contribute to decreased muscle function, compromise mitochondrial function, and increase inflammatory response in muscles. Imaging techniques such as computed tomography (CT), particularly opportunistic abdominal CT scans, and magnetic resonance imaging (MRI) or magnetic resonance spectroscopy (MRS), have been used in both clinical practice and research. And in recent years, ultrasound has emerged as a promising bedside tool for measuring changes in muscle tissue. Various techniques, including CT-based muscle attenuation (MA) and intermuscular adipose tissue (IMAT) quantification, MRI-based proton density fat fraction (PDFF) and T1-T2 mapping, and musculoskeletal ultrasound (MSUS)-based echo intensity (EI) and shear wave elastography (SWE), are accessible in clinical practice and can be used as adjunct biomarkers of myosteatosis to assess various debilitating muscle health conditions. However, a stan¬dard definition of myosteatosis with a thorough understanding of the pathophysiological mechanisms, and a consensus in assessment methods and clinical outcomes has not yet been established. Recent developments in image acquisition and quantification have attempted to develop an appropriate muscle quality index for the assessment of myosteatosis. Additionally, emerging studies on artificial intelligence (AI) may provide further insights into quantification and automated assessment, including MRS analysis. In this review, we discuss the pathophysiological aspects of myosteatosis, all the current imaging techniques and recent advances in imaging assessment as potential biomarkers of myosteatosis, and the most common clinical conditions involved.

(1) Background: Accurate body composition assessment in CCR patients is crucial due to the high prevalence of malnutrition, sarcopenia, and cachexia affecting survival. This study evaluates the correlation between body composition assessed by CT imaging as a reference technique, BIVA, nutritional ultrasound, and handgrip strength in CCR patients. (2) Methods: This retrospective study included CCR patients assessed by the Endocrinology and Nutrition Services of Virgen de la Victoria in Malaga and Vall d'Hebron in Barcelona from October 2018 to July 2023. Assessments included anthropometry, BIVA, NU, HGS, and AI-assisted CT analysis at the L3 level for body composition. Pearson's analysis determined the correlation of CT-derived variables with BIVA, NU, and HGS. (3) Results: A total of 267 CCR patients (mean age 68.2 ± 10.9 years, 61.8% men) were studied. Significant gender differences were found in body composition and strength. CT-SMI showed strong correlations with body cell mass (r = 0.65), rectus femoris cross-sectional area (r = 0.56), and handgrip strength (r = 0.55), with a Cronbach's alpha of 0.789. CT-based adipose tissue measurements showed significant correlations with fat mass (r = 0.56), BMI (r = 0.78), A-SAT (r = 0.49), and L-SAT (r = 0.66). Regression analysis indicated a high predictive power for CT-SMI, explaining approximately 80% of its variance (R2 = 0.796). (4) Conclusions: Comprehensive screening of colorectal cancer patients through BIVA, NU, HGS, and CT optimizes the results of the evaluation. These methods complement each other in assessing muscle mass, fat distribution, and nutritional status in CCR. When CT is unavailable or bedside assessment is needed, HGS, BIVA, and NU provide an accurate assessment of body composition.

Volumetric bone mineral density (vBMD) is commonly assessed using QCT. Although standard vBMD calculation methods require phantom rods that may not be available, internal-reference phantomless (IPL) and direct measurements of Hounsfield units (HU) can be used to calculate vBMD in their absence. Yet, neither approach has been systemically assessed across skeletal sites, and HU need further validation as a vBMD proxy. This study evaluated the accuracy of phantomless methods, including IPL and regression-based phantomless (RPL) calibration using HU to calculate vBMD, compared to phantom-based (PB) methods. vBMD from QCT scans of 100 male post-mortem human subjects (PMHS) was calculated using site-specific PB calibration at multiple skeletal sites throughout the body. A development sample of 50/100 PMHS was used to determine site-specific reference material density for IPL calibration and RPL equations. Reference densities and equations from the development sample were used to calculate IPL and RPL vBMD on the remaining 50/100 PMHS for method validation. PB and IPL/RPL vBMD were not significantly different (p > .05). Univariate regressions between PB and IPL/RPL vBMD were universally significant (p < 0.05), except for IPL Rad-30 (p = 0.078), with a percent difference across all sites of 6.97% ± 5.95% and 5.22% ± 4.59% between PB and IPL/RPL vBMD, respectively. As vBMD increased, there were weaker relationships and larger differences between PB vBMD and IPL/RPL vBMD. IPL and RPL vBMD had strong relationships with PB vBMD across sites (R2 = 97.99, R2 = 99.17%, respectively), but larger residual differences were found for IPL vBMD. As the accuracy of IPL/RPL vBMD varied between sites, phantomless methods should be site-specific to provide values more comparable to PB vBMD. Overall, this study suggests that RPL calibration may better represent PB vBMD compared to IPL calibration, increases the utility of opportunistic QCT, and provides insight into bone quality and fracture risk.

Sarcopenia is the age-related loss of skeletal muscle mass and function. Computed tomography (CT) assessments of sarcopenia utilize measurements of skeletal muscle cross-sectional area (SMA), radiation attenuation (SMRA), and intramuscular adipose tissue (IMAT). Unadjusted SMA is strongly correlated with both height and body mass index (BMI); therefore, SMA must be adjusted for body size to assess sarcopenic low muscle mass fairly in individuals of different heights and BMI. SMA/height (rather than S M A / h e i g h t 2 ) provides optimal height adjustment, and vertebra-specific relative muscle index (RMI) equations optimally adjust for both height and BMI. Since L3 measurement is not available in all CT scans, sarcopenic low muscle mass may be assessed using other levels. Both a mid-vertebral slice and an inferior slice have been used to define 'L3 SMA', but the effect of vertebral slice location on SMA measurements is unexplored. Healthy reference values for skeletal muscle measures at mid- and inferior vertebra slices between T10 and L5, have not yet been reported. We extracted T10 through L5 SMA, SMRA, and IMAT at a mid-vertebral and inferior slice using non-contrast-enhanced CT scans from healthy, adult kidney donor candidates between age 18 and 73. We compared paired differences in SMA between the mid-vertebral slice versus the inferior slice. We calculated the skeletal muscle gauge as S M G HT = S M R A ∗ S M I HT . We used allometric analysis to find the optimal height scaling power for SMA. To enable comparisons with other published reference cohorts, we computed two height-adjusted measures; S M I HT = S M A / h e i g h t (optimal) and S M I H T 2 = S M A / h e i g h t 2 (traditional). Using the young, healthy reference cohort, we utilized multiple linear regression to calculate relative muscle index z-scores ( R M I HT , R M I H T 2 ), which adjust for both height and BMI, at each vertebra level. We assessed Pearson correlations of each muscle area measure versus age, height, weight, and BMI separately by sex and vertebra number. We assessed the differences in means between age 18-40 versus 20-40 as the healthy, young adult reference group. We reported means, standard deviations, and sarcopenia cutpoints (mean-2SD and 5th percentile) by sex and age group for all measures. Sex-specific allometric analysis showed that height to the power of one was the optimal adjustment for SMA in both men and women at all vertebra levels. Differences between mid-vertebra and inferior slice SMA were statistically significant at each vertebra level, except for T10 in men. S M I HT was uncorrelated with height, whereas S M I H T 2 was negatively correlated with height at all vertebra levels. Both S M I HT and S M I H T 2 were positively correlated with BMI at all vertebra levels. R M I HT was uncorrelated with BMI, weight, and height (minimal positive correlation in women at L3 inf , L4 mid , and L5 inf ) whereas R M I H T 2 was uncorrelated with BMI, but negatively correlated with height and weight at all levels. There were no significant differences in SMA between 18-40 versus 20-40 age groups. Healthy reference values and sarcopenic cutpoints are reported stratified by sex, vertebra level, and age group for each measure. Height to the power of one (SMA/height) is the optimal height adjustment factor for SMA at all levels between T10 mid through L5 inf . The use of S M A / h e i g h t 2 should be discontinued as it retains a significant negative correlation with height and is therefore biased towards identifying sarcopenia in taller individuals. Measurement of SMA at a mid-vertebral slice is significantly different from measurement of SMA at an inferior aspect slice. Reference values should be used for the appropriate slice. We report sarcopenic healthy reference values for skeletal muscle measures at the mid-vertebral and inferior aspect slice for T10 through L5 vertebra levels. Relative muscle index (RMI) equations developed here minimize correlation with both height and BMI, producing unbiased assessments of relative muscle mass across the full range of body sizes. We recommend the use of these RMI equations in other cohorts.

While body mass index (BMI) is the most widely used indicator as a measure of obesity factors in post-transplantation diabetes mellitus (PTDM), body composition is a more accurate measure of obesity. This study aims to investigate the effects of Computed tomography (CT)--based morphemic factors on PTDM and establish a prediction model for PTDM after kidney transplantation.

The pre-transplant data and glycemic levels of kidney transplant recipients (June 2021 to July 2023) were retrospectively and prospectively collected. Univariate and multivariate analyses were conducted to analyze the relationship between morphemic factors and PTDM at one month, six months, and one year after hospital discharge. Subsequently, a one-year risk prediction model based on morphemic factors was developed.

The study consisted of 131 participants in the one-month group, where Hemoglobin A1c (HbA1c) (p = 0.02) was identified as the risk factor for PTDM. In the six-month group, 129 participants were included, and the intermuscular adipose tissue (IMAT) area (p = 0.02) was identified as the risk factor for PTDM. The one-year group had 128 participants, and the risk factors for PTDM were identified as body mass index (BMI) (p = 0.02), HbA1c (p = 0.01), and IMAT area (p = 0.007). HbA1c (%) and IMAT area were included in the risk prediction Model for PTDM in the one-year group with AUC = 0.716 (95 % CI 0.591-0.841, p = 0.001).

Compared to BMI and other morphemic factors, this study demonstrated that the IMAT area was the most potential predictor of PTDM.

Chictr.org (ChiCTR2300078639).

Low muscle mass and malnutrition are independently associated with an increased risk of adverse outcomes in patients with cancer. However, it is not yet clear which parameter is most indicative of these risks. This study investigates the prognostic significance of different parameters reflecting malnutrition and muscle health in a well-characterised oncology population at nutritional risk.

This preplanned secondary analysis included patients with cancer from a Swiss-wide, randomised-controlled nutritional trial. We investigated associations among malnutrition markers (i.e., malnutrition diagnosis based on modified Global Leadership Initiative on Malnutrition (GLIM) criteria, albumin concentration) and muscle health markers (i.e., hand grip strength, computed tomography (CT)-based muscle mass and radiodensity) with 180-day all-cause mortality (primary outcome).

We included 269 patients with a main admission diagnosis of cancer and available CT scans. In a mutually adjusted model, four parameters contributed to risk assessment including modified malnutrition diagnosis (GLIM) (HR 1.78 (95%CI 1.17 to 2.69), p = 0.007, AUC 0.58), low albumin concentration (HR 1.58 (95%CI 1.08 to 2.31), p = 0.019, AUC 0.62), low handgrip strength (HR 2.05 (95%CI 1.43 to 2.93), p = 0.001, AUC 0.62) and low muscle radiodensity (HR 1.39 (95%CI 0.90 to 2.16), p = 0.139, AUC 0.63). Combining these parameters resulted in a model with high prognostic power regarding 180-day mortality (overall AUC 0.71).

In this study of inpatients with cancer at nutritional risk, several malnutrition and muscle health parameters emerged as independent prognostic indicators for mortality. The use of these parameters may improve risk stratification and guide nutritional interventions in this vulnerable population.

ClinicalTrials.gov, number NCT02517476.

Computed tomography (CT) has an underutilized potential for evaluating body composition in clinical settings. Often conducted with intravenous contrast (IVC), CT scans yield unused body composition data due to unclear effects on skeletal muscle area (SMA), skeletal muscle index (SMI), and muscle density (SMD).

This study investigates whether weight-adjusted IVC influences SMA, SMI, and SMD differently in females and males compared with noncontrast abdominal CT. In addition, the study explores associations between contrast and noncontrast-assessed SMA, SMI, SMD, and demographic factors.

A comparative observational retrospective study was conducted on Danish patients who underwent consecutive 4-phased contrast-enhanced abdominal CT scans (noncontrast, arterial, venous, and late venous phases). Muscle measures were evaluated using validated semiautomated threshold-based software by 3 independent raters.

The study included 72 patients (51 males and 21 females) with a mean age of 59 (55 and 62) y. Weight-adjusted IVC increased SMA by ≤3.28 cm2 (95% confidence interval [CI]: 2.58, 3.98) corresponding to 2.4% (1.8, 2.9) in the late venous phase compared with noncontrast CT. Analysis between sexes showed no difference in the effects of IVC on SMA and SMI between females and males. However, females exhibited a higher increase in SMD during the venous by a mean of 1.7 HU (0.9; 2.5) and late venous phases with a mean HU of 1.80 (1.0; 2.6) compared with males. Multivariate regression analysis indicated an association between the differences in SMD and sex during venous (-1.38, 95% CI: -2.48, -0.48) and late venous phases (-1.23, 95% CI: -2.27, -0.19).

Weight-adjusted IVC leads to increased SMA, SMI, and SMD. Although SMA and SMI differences were consistent across the sexes, females exhibited a significantly higher SMD increase than males in the venous and late venous phases. Further investigations are necessary to determine the applicability of SMD as a muscle quality proxy in IVC CT scans.

Myosteatosis, ectopic fat accumulation in skeletal muscle, is a crucial component of sarcopenia, linked to various cardiometabolic diseases. This study aimed to analyze the association between dyslipidemia and myosteatosis using abdominal computed tomography (CT) in a large population.

This study included 11,823 patients not taking lipid-lowering medications with abdominal CT taken between 2012 and 2013. Total abdominal muscle area (TAMA), measured at the L3 level, was segmented into skeletal muscle area (SMA) and intramuscular adipose tissue. SMA was further classified into normal attenuation muscle area (NAMA: good quality muscle) and low attenuation muscle area (poor quality muscle). NAMA divided by TAMA (NAMA/TAMA) represents good quality muscle. Atherosclerotic dyslipidemia was defined as high-density lipoprotein cholesterol (HDL-C) less than 40 mg/dL in men and 50 mg/dL in women, low-density lipoprotein cholesterol (LDL-C) greater than 160 mg/dL, triglycerides (TG) greater than 150 mg/dL, small dense LDL-C (sdLDL-C) greater than 50.0 mg/dL, or apolipoprotein B/A1 (apoB/A1) greater than 0.08.

The adjusted odds ratios (ORs) of dyslipidemia according to the HDL-C and sdLDL definitions were greater in both sexes in the lower quartiles (Q1~3) of NAMA/TAMA compared with Q4. As per other definitions, the ORs were significantly increased in only women for LDL-C and only men for TG and ApoB/A1. In men, all lipid parameters were significantly associated with NAMA/TAMA, while TG and ApoB/A1 did not show significant association in women.

Myosteatosis measured in abdominal CT was significantly associated with a higher risk of dyslipidemia. Myosteatosis may be an important risk factor for dyslipidemia and ensuing cardiometabolic diseases.

This retrospective study investigated associations of rotator cuff muscle atrophy (MA) and fatty infiltration (FI) with glenoid morphology.

Patients with primary glenohumeral osteoarthritis who presented to Penn State Bone and Joint Institute's orthopaedic clinic from September 2002 to December 2019 as total shoulder arthroplasty (TSA) candidates were evaluated. MA was determined by the cross-sectional area of each rotator cuff muscle on pre-operative MR and CT scans. Fat-free muscle and FI areas were quantified using Hounsfield units (HU). Glenoid morphology was assessed using glenoid version and inclination and modified Walch classification.

Sixty-one patients (61 shoulders) were evaluated. B3 glenoids had a greater percent FI of supraspinatus (40.8 ± 7.3) versus A2 glenoids (31.6 ± 12.9, p = 0.032); infraspinatus and teres minor muscles (49.7 ± 9.1) versus A1 (31.1 ± 13.1, p = 0.039), A2 (30.2 ± 13.3, p = 0.028), and B1 glenoids (31.6 ± 11.9, p = 0.038); and subscapularis (36.7 ± 11.1) versus A2 glenoids (25.5 ± 14.7, p = 0.032). B2 glenoids had a larger area ratio of infraspinatus and teres minor to subscapularis (0.96 ± 0.16) than A1 (0.82 ± 0.13, p = 0.026) and A2 glenoids (0.57 ± 0.25, p = 0.038).

B3 glenoids had a greater FI of all rotator cuff muscles. B2 glenoids had a larger relative size of infraspinatus and teres minor muscles than subscapularis.

The aim of the study was to investigate the potential prognostic role of preoperative measurement of erector spinae myosteatosis with Hounsfield unit average calculation as a marker for sarcopenia and frailty in patients undergoing coronary bypass surgery.

Preoperative computer tomography-derived measurements of 479 consecutive patients undergoing coronary bypass surgery between January 2017 and December 2019 were retrospectively performed. The erector spinae muscle at the level of the 12th vertebra was manually outlined bilaterally on the axial computer tomography slices and Hounsfield unit average calculation was performed. The lower quartile of muscle density values was defined as myosteatotic and thus sarcopenic. Sarcopenic (n = 121) versus non-sarcopenic patients (n = 358) were compared regarding postoperative morbidity and short- and long-term mortality. Results were adjusted for age, body mass index, atrial fibrillation and hypertension using inverse probability weighting.

Sarcopenia was associated with higher 30-day mortality (4.1% vs 0.8%; P = 0.012), mid-term mortality after 1 year (9.3% vs 3.1%; P = 0.047) and 2 years (10.8% vs 4.2%; P = 0.047). Long-term mortality (5 years) was 20.8% for sarcopenic and 13.0% for non-sarcopenic patients but was not found to be significantly different (P = 0.089). Sarcopenia was associated with higher rates of reintubation (7.5% vs 1.1%; P < 0.001), sternal wound infections (7.5% vs 2.8%; P = 0.039) and acute kidney injury requiring haemodialysis (2.5% vs 0.4%; P = 0.021).

In patients undergoing coronary bypass surgery, sarcopenia was associated with increased short-term mortality, mid-term mortality and morbidity. The measurement of erector spinae myosteatosis could be an easy and useful parameter in preoperative risk assessment.