To evaluate the association between the segmental bronchi radiation dose and radiation pneumonitis (RP) in patients with lung cancer who underwent radiotherapy.

A total of 135 patients with lung cancer who were treated with radiation therapy between December 2014 and December 2015 were enrolled in the study. RP was defined and graded according to the criteria of the Radiation Therapy Oncology Group. The radiation dose to the segmental bronchi, along with clinical, and other dosimetric factors were recorded. Logistic regression analysis was used to evaluate the association between the related factors and RP.

Among the 135 enrolled patients, 24 (17.8%) developed grade 3 radiation pneumonitis or higher. Study found that RP was associated with the following factors: patient age, complications with chronic obstructive pulmonary disease, concurrent chemotherapy, percentage of lung volume receiving more than 30 Gy (V30), whole lung volume, and the segmental bronchi maximum and mean dose. Logistic regression analysis showed that the maximum dose of the segmental bronchi, whole lung volume, and V30 were independent risk factors for RP. According to the receiver operating characteristic curve, the maximum dose constraint of the segmental bronchi during radiotherapy is estimated at 23.85 Gy.

The segmental bronchi radiation dose should be considered as a normal tissue constraint, in addition to whole lung volume and V30 in radiotherapy for patients with lung cancer to decrease the incidence of RP.

Chemoradiotherapy (CRT) followed by adjuvant durvalumab is the standard of care for fit patients with unresectable stage III non-small cell lung cancer (NSCLC). However, 20-25 % of the patients do not survive longer than 1 year after treatment initiation, i.e. receive futile treatment. We aimed to develop a prognostic model that can identify patients at high risk of early mortality during and after CRT.

Patients with stage III NSCLC treated with CRT were included in the development- (N = 328; MAASTRO Biobank, 2004-2020, NCT01084785) and validation cohorts (N = 39; NCT02921854, NCT04432142). Both clinical parameters (age, sex, body mass index, performance status (PS), tumor stage (UICC 8), and sequence of chemotherapy administration) and peripheral immune-related biomarkers were included in the model development. Futile treatment was defined as death within one year after the first fraction of RT.

In the multivariable logistic regression analysis, PS ≥ 2 (OR = 2.89, 95 % CI 1.25-6.66, p = 0.013), stage IIIC (OR = 3.07, 95 % CI 3.07-6.9, p = 0.007), sequential chemotherapy (OR = 2.07, 95 % CI 1.19-3.62, p = 0.010), IL-6 (OR = 2.17, 95 % CI 1.27-3.70, p = 0.005), IP-10 (OR = 1.58, 95 % CI 0.92-2.73, p = 0.099), and soluble programmed death-ligand 1 (sPD-L1) (OR = 3.24, 95 % CI 1.90-5.54, p < 0.001) were identified as independent risk factors of early mortality. A nomogram was developed to calculate the risk of receiving futile treatment for each patient. The AUC of the development and validation cohort was 0.774 (95 % CI 0.716-0.832) and 0.734 (95 % CI 0.568-0.902), respectively. Patients classified as intermediate or high risk to receive futile treatment presented 23.7 % of the total cohort.

A prognostic model was developed that can identify patients who are at high risk of early mortality during and after CRT. These patients may be included in clinical trials aiming to improve their outcome.

This study focuses on developing a nomogram-based overall survival (OS) prediction model for non-small cell lung cancer (NSCLC) patients by integrating clinical factors with multiregion radiomics features extracted from pretreatment CT images. The proposed nomogram aims to assist clinicians in stratifying patients into high- and low-risk groups for personalised treatment strategies.

From 2008 to 2018, 77 NSCLC patients were included. The radiomics feature was extracted from the internal and peripheral tumour region of pretreatment computed tomography (CT) images. The least absolute shrinkage and selection operator (LASSO) and the univariable Cox regression model were used to select the radiomics features. The Rad-score was defined as a linear combination of the selected radiomics features and the Cox proportional hazards regression coefficients. The combined model was constructed based on the clinicopathological factors and the Rad-score. The discrimination capacity of the prediction model was evaluated by Harrell's concordance index (C-index), the calibration curve, and the Kaplan-Meier survival curve.

We found that nine radiomics features and histology were independent predictors. The combined model showed the best performance (C-index: 0.799 [95% CI: 0.726-0.872]) compared with the clinical model (C-index: 0.692 [95% CI: 0.625-0.759]) and Rad-score (C-index: 0.663 [95% CI: 0.580-0.746]), and could significantly stratify into high-risk and low-risk NSCLC patients. The calibration curve also showed good consistency between the observation and the prediction.

The multregion radiomics features have the potential for predicting OS in NSCLC patients. The nomogram-based survival prediction model demonstrates significant potential in guiding clinical decision-making, allowing for precise and personalised treatment for NSCLC patients.

To evaluate the role of different invasive and noninvasive mediastinal staging methods in patients with locally advanced non-small cell lung cancer treated with definitive chemoradiation therapy in the prospective PET-Plan trial (ARO-2009-09; NCT00697333) and to evaluate the impact of endobronchial ultrasound-guided transbronchial needle aspiration and mediastinoscopy on target volume definition.

Patients treated per protocol (n = 172), all receiving isotoxically dose-escalated chemoradiation therapy, were included in this unplanned secondary analysis. Radiation treatment planning was based on an 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) targeting all CT-positive lymph nodes (ie, short-axis diameter > 10 mm), even if PET-negative, plus elective nodal irradiation (arm A) or targeting only PET-positive nodes (arm B). The concordance rate between different staging modalities and their impact on target volume delineation was calculated.

The median follow-up time (95% confidence interval) was 41.1 (33.8-50.4) months. A total of 2752 lymph node stations were evaluated noninvasively, whereas 330 were examined invasively. Of 172 patients, 87 (50.6%) underwent ≥1 invasive staging modality. The number of different staging procedures per patient did not correlate with any of the primary endpoints (overall survival, progression-free survival, or freedom from local progression). The sensitivity of 18F-FDG PET/CT was 89.7% (78/87) and the specificity was 67.5% (112/166) based on histology as assessed by endobronchial ultrasound. When using the results from mediastinoscopy, the sensitivity of PET was 82.6% (19/23) and the specificity was 66.7% (36/54). On the basis of invasive staging methods, 13 lymph node stations in 9 patients (10.3%) were PET-negative while positive on invasive staging, thus leading to a significant adjustment in the target volume.

In this unplanned secondary analysis of the PET-Plan trial, the additional use of invasive staging resulted in relevant changes to the target volume in a tenth of patients. Invasive staging did not, however, have an effect on outcome in this trial, with a low rate of isolated out-of-field recurrences (6 in arm A vs 3 in arm B). Radiation treatment planning can thus be based on invasive staging in addition to noninvasive PET in patients undergoing definitive chemoradiation therapy for locally advanced non-small cell lung cancer. Prospective randomized data are required to confirm these findings.

The peri-operative management of non-small cell lung cancer (NSCLC) in earlier stage disease has seen significant advances in recent years with the incorporation of immune checkpoint inhibitors and targeted therapy. However, many unanswered questions and challenges remain, including the application of clinical trial data to routine clinical practice. Recognising the unique demographic profile of Asian patients with NSCLC and heterogeneous healthcare systems, the Asian Thoracic Oncology Research Group (ATORG) convened a consensus meeting in Singapore on 26 April 2024 to discuss relevant issues spanning diagnostic testing to post-neoadjuvant treatment considerations and future directions. An interdisciplinary group of 19 experts comprising medical oncologists, thoracic surgeons, radiation oncologists, pulmonologists and pathologists from Singapore, Hong Kong, Mainland China, Korea, Japan, Taiwan, India, Malaysia, Thailand, Vietnam and Australia met to discuss emerging data, identify existing gaps in clinical care and develop a multidisciplinary, multinational expert consensus statement on the peri-operative management of NSCLC tailored to the Asia-Pacific region.

This study aimed to compare the efficacy of anlotinib plus whole-brain radiotherapy (WBRT) with that of WBRT alone in non-small cell lung cancer (NSCLC) patients with multiple brain metastases (BMs).

The clinical data of patients with NSCLC and multiple BMs who received WBRT between 2019 and 2022 were collected. The patients were assigned to anlotinib plus WBRT group and WBRT group according to the treatment used.

A total of 64 patients were eligible for analysis; 21 were treated with anlotinib plus WBRT, and 43 were treated with WBRT. The anlotinib plus WBRT group had a greater proportion of patients who were young and had a better performance status and adenocarcinoma histology than did the WBRT group. The median follow-up time was 18.0 months. The median intracranial progression-free survival (iPFS) was significantly longer in the anlotinib plus WBRT group than in the WBRT group (12.9 months vs. 7.4 months, p = 0.004). The median overall survival (OS) was 14.6 months in the anlotinib plus WBRT group and 9.4 months in the WBRT group (p = 0.039). Considering death as a competing risk to intracranial progression, the 1-year cumulative incidence of intracranial progression in the anlotinib plus WBRT group (26.7%) was significantly lower than that in the WBRT group (64.3%) (p = 0.021). There was no significant difference in treatment-related toxicity between the anlotinib plus WBRT group and the WBRT group.

Compared with WBRT alone, anlotinib plus WBRT might confer superior intracranial PFS for NSCLC patients with multiple BMs without increasing treatment-related toxicity.

Although cone beam computed tomography (CBCT) has lower resolution compared to planning CTs (pCT), its lower dose, higher high-contrast resolution, and shorter scanning time support its widespread use in clinical applications, especially in ensuring accurate patient positioning during the image-guided radiation therapy (IGRT) process.

While CBCT is critical to IGRT, CBCT image quality can be compromised by severe stripe and scattering artifacts. Tumor movement secondary to respiratory motion also decreases CBCT resolution. In order to improve the image quality of CBCT, we propose a Lung Diffusion Model (L-DM) framework.

Our proposed algorithm is based on a conditional diffusion model trained on pCT and deformed CBCT (dCBCT) image pairs to synthesize lung CT images from dCBCT images and benefit CBCT-based radiotherapy. dCBCT images were used as the constraint for the L-DM. The image quality and Hounsfield unit (HU) values of the synthetic CTs (sCT) images generated by the proposed L-DM were compared to three selected mainstream generation models.

We verified our model in both an institutional lung cancer dataset and a selected public dataset. Our L-DM showed significant improvement in the four metrics of mean absolute error (MAE), peak signal-to-noise ratio (PSNR), normalized cross-correlation (NCC), and structural similarity index measure (SSIM). In our institutional dataset, our proposed L-DM decreased the MAE from 101.47 to 37.87 HU and increased the PSNR from 24.97 to 29.89 dB, the NCC from 0.81 to 0.97, and the SSIM from 0.80 to 0.93. In the public dataset, our proposed L-DM decreased the MAE from 173.65 to 58.95 HU, while increasing the PSNR, NCC, and SSIM from 13.07 to 24.05 dB, 0.68 to 0.94, and 0.41 to 0.88, respectively.

The proposed L-DM significantly improved sCT image quality compared to the pre-correction CBCT and three mainstream generative models. Our model can benefit CBCT-based IGRT and other potential clinical applications as it increases the HU accuracy and decreases the artifacts from input CBCT images.

This paper highlights developments in diagnostic and nonsurgical local treatment modalities that have changed the management of early-stage lung cancer. These innovations aim to enhance diagnostic accuracy, minimize invasiveness, and improve patient outcomes. Liquid biopsies are emerging as promising tools for non-invasive diagnosis and monitoring, enabling earlier intervention without being standardized yet as well as not yet anchored in the guidelines. Endobronchial navigation has emerged as an innovative tool. By combining electromagnetic or GPS-like technology with 3D imaging and a steerable catheter, it enables accurate biopsy of small, peripheral lesions that were once challenging to sample, with a very low pneumothorax rate. Regarding nonsurgical treatments, stereotactic body radiotherapy (SBRT) continues to shine as a non-invasive local treatment modality for early-stage lung cancer and is the guideline-recommended standard-of-care for inoperable patients and patients refusing the risk of surgical resection. The low toxicity and excellent local control has made it an attractive alternative to surgery even in fitter patients. Percutaneous ablative techniques utilising energies such as microwave or pulse-field electroporation are options for patients who are not candidates for surgery or SBRT. Bronchoscopic ablation delivers the same energies but with a very lower pneumothorax rate and it is therefore also open to patients with multiple and bilateral lesions.

Locally advanced non-small cell lung cancer (LA-NSCLC) reported poor 5-year survival rates with frequent local or regional recurrences. Personalized RT may contribute to improve control and clinical outcome. We investigated efficacy and tolerance of "Mid-position" (Mid-P) strategy versus the conventional Internal Target Volume (ITV) strategy in LA-NSCLC patients treated by definitive conformal radiotherapy.

This prospective non-comparative randomized monocentric phase II trial included adult patients with non-resected, non-metastatic, non-previously irradiated proven LA-NSCLC treated with definitive normo-fractionated conformal radiotherapy (+/- chemotherapy). Allocated patients (randomisation 2:1) were treated using Mid-P or ITV strategy. A Fleming single-stage design (1-sided α = 0.1, 80 % power, P0 = 30 %, P1 = 50 %) planned enrolment of 36 patients in the Mid-P group. The ITV group ensured the absence of selection bias. The primary outcome was 1-year progression-free- survival (1y-PFS) rate.

Among 54 eligible patients included from September 2012 to May 2018, 51 patients were analyzed (Mid-P: N = 34; ITV: 17). The 1y-PFS was 38 % (1-sided 95 %CI 25 %-not reached) with Mid-P strategy, and 47 % (95 %CI [27 %-not reached[) with ITV. Loco-regional failure as first event mainly occurred within radiation-field regardless the strategy. Acute and middle-term radiation toxicities were observed with both strategies.

Local control and survival remain poor using the Mid-P strategy in this prospective randomized non-comparative monocentric study investigating Mid-P strategy versus ITV strategy in LA-NSCLC. Since the Mid-P strategy is not integrated into routine software, and perceived as a time-consuming method, Mid-P strategy cannot be recommended in LA-NSCLCC treated by definitive normo-fractionated conformal radiotherapy outside clinical trials.

In this study, we aimed to explore the relationship between clinicopathological features and driver gene changes in Chinese NSCLC patients.

Amplification refractory mutation system PCR was used to detect the aberrations of 10 driver oncogenes in 851 Chinese NSCLC patients, and their correlation with clinicopathological characteristics was also analyzed. Moreover, three models of logistic regression were used to analyze the association between histopathology and EGFR or KRAS mutations.

The top two most frequently aberrant target oncogenes were EGFR (48.06%) and KRAS (9.51%). These were followed by ALK (5.41%), HER2 (2.35%), MET (2.23%), RET (2.11%), ROS1 (1.88%), BRAF (0.47%), NRAS (0.24%), and PIK3CA (0.12%). Additionally, 11 (1.29%) patients had synchronous gene alterations in two genes. The main EGFR mutations were exon 21 L858R and exon 19-Del, which accounted for 45.97% and 42.79% of all EGFR mutations, respectively. Logistic regression analysis showed that the frequency of EGFR mutations was positively correlated with women, non-smokers, lung adenocarcinoma, and invasive non-mucinous adenocarcinoma (IA), and negatively correlated with solid nodule, micro-invasive adenocarcinoma, and solid-predominant adenocarcinoma. KRAS mutations were positively associated with men and longer tumor long diameters and negatively correlated with lung adenocarcinoma (P < 0.05 for all).

Our findings suggest that the EGFR mutation frequency was higher in women, non-smokers, lung adenocarcinoma, and the IA subtype in lung adenocarcinoma patients, while the KRAS mutation rate was higher in men and patients with longer tumor long diameter and lower in lung adenocarcinoma patients.

Cancer remains the leading cause of death worldwide with approved oncology drugs continuing to have heterogenous patient responses and accompanied adverse effects (AEs) that limits effectiveness. Here, we examined >100 FDA-approved oncology drugs in the context of stemness using a surrogate model of transformed human pluripotent cancer stem cells (CSCs) vs. healthy stem cells (hSCs) capable of distinguishing abnormal self-renewal and differentiation. Although a proportion of these drugs had no effects (inactive), a larger portion affected CSCs (active), and a unique subset preferentially affected CSCs over hSCs (selective). Single cell gene expression and protein profiling of each drug's FDA recognized target provided a molecular correlation of responses in CSCs vs. hSCs. Uniquely, drugs selective for CSCs demonstrated clinical efficacy, measured by overall survival, and reduced AEs. Our findings reveal that while unintentional, half of anticancer drugs are active against CSCs and associated with improved clinical outcomes. Based on these findings, we suggest ability to target CSC targeting should be included as a property of early onco-therapeutic development.

Harmonized European NSCLC incidence, treatment approach, and survival based on national tumor registries are unclear.

Surgery has the potential to cure NSCLC and significantly prolong survival. This large-scale international study aimed to investigate treatment variations in Europe and the USA, as well as the determinants for its utilization.

The retrospective cohort study analyzed data from six European national population-based cancer registries (Belgium, Denmark, Estonia, Germany, the Netherlands, and Slovenia) and the US SEER database from 2010-2015.

The study computed cancer incidence, survival, and age-standardized proportions of the use of various therapies. Multivariable logistic regression models were used to assess associations between resection and demographic and clinical parameters. A total of 428,107 records were analyzed. Among all countries, Estonia had the highest surgical resection rate (79.3 %) and the lowest radiation rate (7.3 %) for stage I patients. The Netherlands had the highest rate of radiotherapy across all years of investigation and the lowest surgery rate between 2012 and 2015. The primary treatment for early-stage NSCLC showed significant international variation, with the USA having a decrease in surgical rates from 67.6 % to 59.5 %. Resection was less frequently performed as tumor stage increased, patients aged, other lung cancer besides adenocarcinoma was present, and when the tumor site overlapped multiple lobes.

Resection rates have declined in some studied European countries and the USA and resection rates vary substantially among countries. Interpretation of current scientific lung cancer evidence and international guidelines results in wide variations in patient treatment.

Thermal ablation is a minimally invasive treatment for non-small cell lung cancer (NSCLC). Aside from causing an immediate direct tumour cell injury, the effects of thermal ablation on the internal microenvironment are unknown. This study aimed to investigate the effects of thermal ablation on the plasma internal environment in patients with NSCLC.

128 plasma samples were collected from 48 NSCLC (pre [LC] and after thermal ablation [LC-T]) patients and 32 healthy controls (HCs). Olink proteomics and metabolomics were utilized to construct an integrated landscape of the cancer-related immune and inflammatory responses after ablation.

Compared with HCs, LC patients exhibited 58 differentially expressed proteins (DEPs) and 479 differentially expressed metabolites (DEMs), which might participate in tumour progression and metastasis. Moreover, 75 DEPs were identified among the HC, LC, and LC-T groups. Forty-eight highly expressed DEPs (eg, programmed death-ligand 1 [PD-L1]) in the LC group were found to be downregulated after thermal ablation. These DEPs had significant impacts on pathways such as angiogenesis, immune checkpoint blockade, and pro-tumour chemotaxis. Metabolites involved in tumour cell survival were associated with these proteins at the expression and functional levels. In contrast, 19 elevated proteins (eg, interleukin [IL]-6) were identified after thermal ablation. These proteins were mainly associated with inflammatory response pathways (NF-κB signalling and tumour necrosis factor signalling) and immune cell activation.

Thermal ablation-induced changes in the host plasma microenvironment contribute to anti-tumour immunity in NSCLC, offering new insights into tumour ablation combined with immunotherapy. Trial registration This study was registered on the Chinese Clinical Trial Registry ( https://www.chictr.org.cn/index.html ). ID: ChiCTR2300076517. Registration Date: 2023-10-11.

To explore the predictive value of morphological signs and quantitative parameters from spectral CT for EGFR gene mutations in intermediate and advanced non-small-cell lung cancer (NSCLC).

This retrospective observational study included patients with intermediate or advanced NSCLC at Xinjiang Medical University Affiliated Tumor Hospital between January 2017 and December 2019. The patients were divided into the EGFR gene mutation-positive and -negative groups.

Seventy-nine patients aged 60.75 ± 9.66 years old were included: 32 were EGFR mutation-positive, and 47 were negative. There were significant differences in pathological stage (P<0.001), tumor diameter (P=0.019), lobulation sign, intrapulmonary metastasis, mediastinal lymph node metastasis, distant metastasis (P<0.001), bone metastasis (P<0.001), arterial phase normalized iodine concentration (NIC) (P=0.001), venous phase NIC (P=0.001), slope of the energy spectrum curve (λ) (P<0.001), and CT value at 70 keV in arterial phase (P=0.004) and venous phase (P=0.003) between the EGFR mutation-positive and -negative patients. The multivariable logistic regression analysis showed that intrapulmonary metastasis, distant metastasis, venous phase NIC, venous phase λ, and pathological stage were independent factors predicting EGFR gene mutations, with high diagnostic power (AUC = 0.975, 91.5% sensitivity, and 90.6% specificity).

The pathological stage and the spectral CT parameters of intrapulmonary metastasis, distant metastasis, venous phase NIC, and venous phase λ might pre-operatively predict EGFR gene mutations in intermediate and advanced NSCLC.

There was limited research data on large-scale locally advanced non-small cell lung cancer (LA-NSCLC) radical radiotherapy (RT) reported in China. This study examined overall survival (OS), progression-free survival (PFS), treatment effectiveness, and toxicity in patients with LA-NSCLC treated with definitive RT in the pre-durvalumab era.

A retrospective analysis of demographic information, clinical characteristics, treatment patterns, and clinical outcomes of 789 patients with LA-NSCLC who underwent radical RT at our center between January 2005 and December 2015 was performed. The Kaplan-Meier method and log-rank test were used for survival comparisons, and Cox regression was used for multivariate analysis.

There were 328 patients with stage IIIA disease and 461 with stage IIIB disease. By the last follow-up, there were 365 overall deaths and 576 cases of recurrence, metastasis, or death. The median survival time was 31 months. The OS rates at 1, 2, 5, and 10 years were 83.7%, 59.5%, 28.8%, and 18.9%, respectively. PFS rates at 1, 2, 5, and 10 years were 48%, 24.5%, 11.9%, and 5.5%, respectively. Rates of ≥grade 3 acute radiation pneumonitis or esophagitis were 7.6% and 1.9%, respectively. Rates of ≥grade 3 chronic radiation pneumonitis and esophagitis were 11% and 0.4%, respectively. Multivariate analysis showed that the Karnofsky Performance Status (KPS) score, smoking status, and combined chemotherapy were prognostic factors for OS (p < 0.05). Multivariate analysis revealed that combined chemotherapy and radiation dose were prognostic factors for PFS (p < 0.05).

Our center's data showed that the survival prognosis of locally advanced patients receiving RT and chemotherapy in China was consistent with international levels during the same period. Patients with a KPS score of 80 or higher, who had never smoked or received combined RT, had a more favorable prognosis than those with a KPS of less than 80, who had smoked, or only received RT. The combination of RT and chemotherapy, with a reasonable radiation dose, was the key to improving the therapeutic effect.

Purpose To evaluate the preoperative risk factors in patients with pathologic IIIA N2 non-small cell lung cancer (NSCLC) who underwent upfront surgery and to evaluate the prognostic value of new N subcategories. Materials and Methods Patients with pathologic stage IIIA N2 NSCLC who underwent upfront surgery in a single tertiary center from January 2015 to April 2021 were retrospectively reviewed. Each patient's clinical N (cN) was assigned to one of six subcategories (cN0, cN1a, cN1b, cN2a1, cN2a2, and cN2b) based on recently proposed N descriptors. Cox regression analysis was used to identify the significant prognostic factors for recurrence-free survival (RFS) and overall survival (OS). Results A total of 366 patients (mean age ± SD, 62.0 years ± 10.1; 202 male patients [55%]) were analyzed. The recurrence rate was 55% (203 of 366 patients) over a median follow-up of 37.3 months. Multivariable analysis demonstrated that cN (hazard ratios [HRs] for cN1 and cN2b compared with cN0, 1.66 [95% CI: 1.11, 2.48] and 2.11 [95% CI: 1.32, 3.38], respectively) and maximum lymph node (LN) size at N1 station (≥12 mm; HR, 1.62 [95% CI: 1.15, 2.29]), in addition to clinical T category (HR, 1.51 [95% CI: 1.14, 1.99]), were independent prognostic factors for RFS. For OS, clinical N subcategories (cN1, cN2a2, and cN2b vs cN0; HRs, 1.91 [95% CI: 1.11, 3.27], 1.89 [95% CI: 1.13, 2.18], and 2.02 [95% CI: 1.07, 3.80], respectively) and LN size at N1 station (HR, 1.75 [95% CI: 1.12, 2.71]) were independent prognostic factors. For clinical N1, OS was further stratified according to LN size (log-rank test, P < .001). Conclusion Assessing the proposed N subcategories by reporting single versus multistation involvement of N2 disease and maximum size of metastatic LN, reflecting metastatic burden, at preoperative CT may offer useful prognostic information for planning optimal treatment strategies. Keywords: CT, Lung, Staging, Non-Small Cell Lung Cancer Supplemental material is available for this article. ©RSNA, 2024.

Recent advances in the treatment of locally advanced NSCLC have led to changes in the standard of care for this disease. For the selection of the best approach strategy for each patient, it is necessary the homogenization of diagnostic and therapeutic interventions, as well as the promotion of the evaluation of patients by a multidisciplinary oncology team.

Development of an expert consensus document with suggestions for the approach and treatment of locally advanced NSCLC leaded by Spanish Lung Cancer Group GECP.

Between March and July 2023, a panel of 28 experts was formed. Using a mixed technique (Delphi/nominal group) under the guidance of a coordinating group, consensus was reached in 4 phases: 1. Literature review and definition of discussion topics 2. First round of voting 3. Communicating the results and second round of voting 4. Definition of conclusions in nominal group meeting. Responses were consolidated using medians and interquartile ranges. The threshold for agreement was defined as 85% of the votes.

New and controversial situations regarding the diagnosis and management of locally advanced NSCLC were analyzed and reconciled based on evidence and clinical experience. Discussion issues included: molecular diagnosis and biomarkers, radiologic and surgical diagnosis, mediastinal staging, role of the multidisciplinary thoracic committee, neoadjuvant treatment indications, evaluation of response to neoadjuvant treatment, postoperative evaluation, and follow-up.

Consensus clinical suggestions were generated on the most relevant scenarios such as diagnosis, staging and treatment of locally advanced lung cancer, which will serve to support decision-making in daily practice.

Cost-utility analysis generally requires valid preference-based measures (PBMs) to assess the utility of patient health. While generic PBMs are widely used, disease-specific PBMs may capture additional aspects of health relevant for certain patient populations. This study investigates the construct and concurrent criterion validity of the cancer-specific European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Utility-Core 10 dimensions (QLU-C10D) in non-small-cell lung cancer patients.

We retrospectively analysed data from four multicentre LUX-Lung trials, all of which had administered the EORTC Quality of Life Questionnaire (QLQ-C30) and the EQ-5D-3L. We applied six country-specific value sets (Australia, Canada, Italy, the Netherlands, Poland, and the United Kingdom) to both instruments. Criterion validity was assessed via correlations between the instruments' utility scores. Correlations of divergent and convergent domains and Bland-Altman plots investigated construct validity. Floor and ceiling effects were assessed.

The comparison of the EORTC QLU-C10D and EQ-5D-3L produced homogenous results for five of the six country tariffs. High correlations of utilities (r > 0.7) were found for all country tariffs except for the Netherlands. Moderate to high correlations of converging domain pairs (r from 0.472 to 0.718) were found with few exceptions, such as the Social Functioning-Usual Activities domain pair (max. r = 0.376). For all but the Dutch tariff, the EORTC QLU-C10D produced consistently lower utility values compared to the EQ-5D-3L (x̄ difference from - 0.082 to 0.033). Floor and ceiling effects were consistently lower for the EORTC QLU-C10D (max. 4.67% for utilities).

The six country tariffs showed good psychometric properties for the EORTC QLU-C10D in lung cancer patients. Criterion and construct validity was established. The QLU-C10D showed superior measurement precision towards the upper and lower end of the scale compared to the EQ-5D-3L, which is important when cost-utility analysis seeks to measure health change across the severity spectrum.

This study aimed to examine the KAP of physicians regarding targeted drug therapy for lung cancer in China.

This cross-sectional study enrolled physicians working in hospitals in Nanyang. A self-administered questionnaire was developed (Cronbach's α=0.912) to collect the demographic information and KAP.

This study included 191 valid questionnaires. Most participants were male (70.2%) and aged 36-50 (55.5%). The median knowledge score was 29 (24-31) (/36, 80.6%), the mean attitude score was 42 (39-44) (/50, 84.0%), and the mean practice score was 28 (26-29) (/30, 93.3%), indicating sufficient knowledge, positive attitudes, and proactive practice. The female gender (OR=5.291, 95% CI: 1.426-19.634, P=0.013), working in non-public tertiary hospitals (OR=0.053, 95% CI: 0.008-0.360, P=0.003), and working in medical oncology (OR=10.764, 95% CI: 2.638-43.922, P=0.001) were independently associated with adequate knowledge. Only the knowledge scores (OR=1.121, 95% CI: 1.036-1.212, P=0.004) were independently associated with a positive attitude. Only the attitude scores (OR=1.895, 95% CI: 1.333-2.694, P<0.001) were independently associated with proactive practice.

Physicians working in thoracic surgery, respiratory medicine, or medical oncology displayed sufficient knowledge, positive attitude, and proactive practice toward targeted therapy for lung cancer.

Several recent studies have investigated the use of hypofractionated radiotherapy (HFRT) for various cancers. However, HFRT for non-small cell lung cancer (NSCLC) with or without concurrent chemotherapy is not yet widely used because of concerns about serious side effects and the lack of evidence for improved treatment results. Investigations of HFRT with concurrent chemotherapy in NSCLC have usually been performed in single-arm studies and with a small number of patients, so there are not yet sufficient data. Therefore, the Korean Society for Radiation Oncology Practice Guidelines Committee planned this review article to summarize the evidence on HFRT so far and provide it to radiation oncology clinicians. In summary, HFRT has demonstrated promising results, and the reviewed data support its feasibility and comparable efficacy for the treatment of locally advanced NSCLC. The incidence and severity of esophageal toxicity have been identified as major concerns, particularly when treating large fraction sizes. Strategies, such as esophagus-sparing techniques, image guidance, and dose constraints, may help mitigate this problem and improve treatment tolerability. Continued research and clinical trials are essential to refine treatment strategies, identify optimal patient selection criteria, and enhance therapeutic outcomes.

This study combined two novel approaches in oncology patient outcome predictions-body composition and radiomic features analysis. The aim of this study was to validate whether automatically extracted muscle and adipose tissue radiomic features could be used as a predictor of survival in patients with non-small cell lung cancer.

The study included 178 patients with non-small cell lung cancer receiving concurrent platinum-based chemoradiotherapy. Abdominal imaging was conducted as a part of whole-body positron emission tomography/computed tomography performed before therapy. Methods used included automated assessment of the volume of interest using densely connected convolutional network classification model - DenseNet121, automated muscle and adipose tissue segmentation using U-net architecture implemented in nnUnet framework, and radiomic features extraction. Acquired body composition radiomic features and clinical data were used for overall and 1-y survival prediction using machine learning classification algorithms.

The volume of interest detection model achieved the following metric scores: 0.98 accuracy, 0.89 precision, 0.96 recall, and 0.92 F1 score. Automated segmentation achieved a median dice coefficient >0.99 in all segmented regions. We extracted 330 body composition radiomic features for every patient. For overall survival prediction using clinical and radiomic data, the best-performing feature selection and prediction method achieved areas under the curve-receiver operating characteristic (AUC-ROC) of 0.73 (P < 0.05); for 1-y survival prediction AUC-ROC was 0.74 (P < 0.05).

Automatically extracted muscle and adipose tissue radiomic features could be used as a predictor of survival in patients with non-small cell lung cancer.

KINDLE-Korea is part of a real-world KINDLE study that aimed to characterize the treatment patterns and clinical outcomes of patients with stage III non-small cell lung cancer (NSCLC).

The KINDLE was an international real-world study that explores patient and disease characteristics, treatment patterns, and survival outcomes. The KINDLE-Korea included stage III NSCLC patients diagnosed between January 2013 and December 2017.

A total of 461 patients were enrolled. The median age was 66 years (range: 24-87). Most patients were men (75.7%) with a history of smoking (74.0%), stage IIIA NSCLC (69.2%), and unresectable disease (52.9%). A total of 24.3% had activating EGFR mutation and 62.2% were positive for PDL1 expression. Broadly categorized, 44.6% of the patients received chemoradiation (CRT)-based therapy, 35.1% underwent surgery, and 20.3% received palliative therapies as initial treatment. The most commonly adopted approaches for patients with stage IIIA and IIIB disease were surgery and CRT, respectively. The median PFS was 15.2 months and OS was 66.7 months. Age >65 years, adenocarcinoma histology, and surgery as the initial treatment were significantly associated with longer OS.

This study revealed the heterogeneity of treatment patterns and survival outcomes in patients with stage III NSCLC before durvalumab consolidation came into clinical practice. There is an unmet need for patients who are not eligible for surgery as an initial therapy. Novel therapeutic approaches are highly warranted to improve clinical outcomes.

Locally advanced non-small cell lung cancer (LA-NSCLC) presents unique challenges due to its progression and tumor heterogeneity. The effectiveness of consolidation therapies, particularly in patients with gene mutations, remains an area of active investigation.

In this retrospective cohort study, we examined data from 3,454 patients with unresectable lung adenocarcinoma (LUAD), narrowing our focus to 242 individuals with stage II/III. We gathered patient data, such as demographics, ECOG status, histology, treatment specifics, and gene expression, from patients in China. The study's primary outcome was overall survival (OS), while progression-free survival (PFS) served as the secondary outcome.

In this study, 50 % of the 242 patients underwent only radical chemoradiotherapy, with 45.87 % (111/242) exhibiting driver gene mutations, predominantly EGFR (58.57 %), followed by KRAS and ALK. Patients with mutations who received either targeted or immune consolidation therapy demonstrated a significantly longer median PFS (42.97 months vs. 24.87 months, p = 0.014) and improved OS (not reached vs. 24.37 months, p = 0.006), compared to those without consolidation therapy. Targeted therapy in mutant patients resulted in an extended median PFS (42.87 months) compared to immune therapy (27.03 months, p = 0.029), with no significant difference in OS. Median PFS and OS were similar between mutant and wild-type patients receiving immune therapy (p = 0.380 and p = 0.928, respectively).

This study underscores the efficacy of targeted consolidation therapy in enhancing PFS in LUAD patients with genetic mutations. It also shows that immune consolidation therapy provides similar survival benefits to mutant and wild-type patients. Future research should focus on optimizing these therapies for improved patient outcomes.

We combined the metabolic features of 18F-FDG-PET/CT and hematological inflammatory indicators to establish a predictive model of the outcomes of patients with locally advanced non-small cell lung cancer (LA-NSCLC) receiving concurrent chemoradiotherapy.

A predictive nomogram was developed based on sex, CEA, systemic immune-inflammation index (SII), mean SUV (SUVmean), and total lesion glycolysis (TLG). The nomogram presents nice discrimination that yielded an AUC of 0.76 (95% confidence interval: 0.66-0.86) to predict 1-year PFS, with a sensitivity of 63.6%, a specificity of 83.3%, a positive predictive value of 83.7%, and a negative predictive value of 62.9% in the training set. The calibration curves and DCA suggested that the nomogram had good calibration and fit, as well as promising clinical effectiveness in the training set. In addition, survival analysis indicated that patients in the low-risk group had a significantly longer mPFS than those in the high-risk group (16.8 months versus 8.4 months, P < 0.001). Those results were supported by the results in the internal and external test sets.

The newly constructed predictive nomogram model presented promising discrimination, calibration, and clinical applicability and can be used as an individualized prognostic tool to facilitate precision treatment in clinical practice.

To introduce a three-dimensional convolutional neural network (3D CNN) leveraging transfer learning for fusing PET/CT images and clinical data to predict EGFR mutation status in lung adenocarcinoma (LADC).

Retrospective data from 516 LADC patients, encompassing preoperative PET/CT images, clinical information, and EGFR mutation status, were divided into training (n = 404) and test sets (n = 112). Several deep learning models were developed utilizing transfer learning, involving CT-only and PET-only models. A dual-stream model fusing PET and CT and a three-stream transfer learning model (TS_TL) integrating clinical data were also developed. Image preprocessing includes semi-automatic segmentation, resampling, and image cropping. Considering the impact of class imbalance, the performance of the model was evaluated using ROC curves and AUC values.

TS_TL model demonstrated promising performance in predicting the EGFR mutation status, with an AUC of 0.883 (95%CI = 0.849-0.917) in the training set and 0.730 (95%CI = 0.629-0.830) in the independent test set. Particularly in advanced LADC, the model achieved an AUC of 0.871 (95%CI = 0.823-0.919) in the training set and 0.760 (95%CI = 0.638-0.881) in the test set. The model identified distinct activation areas in solid or subsolid lesions associated with wild and mutant types. Additionally, the patterns captured by the model were significantly altered by effective tyrosine kinase inhibitors treatment, leading to notable changes in predicted mutation probabilities.

PET/CT deep learning model can act as a tool for predicting EGFR mutation in LADC. Additionally, it offers clinicians insights for treatment decisions through evaluations both before and after treatment.

Cancer multi-disciplinary team (MDT) meetings are an important component of consultant workload, however previous literature has suggested trainees are not satisfied with their current curriculum in preparing for MDT working.

This educational pilot assessed whether multi-speciality simulated scenarios with pre-defined learning objectives, could prepare specialist registrars for interacting within an MDT. Participants completed pre- and post-questionnaires assessing a number of areas including: current experience of training, confidence presenting patients and whether the course would alter future practice.

Trainee confidence increased significantly from a mean of 5 to 7 (mean to nearest whole number, p < 0.01). Trainees rated the session highly for utility and altering their future practice (mean scores of 9 for both respectively, out of 10).

Simulation has shown success in other multidisciplinary teaching, however to our knowledge there are no cancer specific training programmes. Our results highlight a potential gap in UK specialist training, and suggest simulation may be beneficial in preparing trainees to present in MDT meetings.

The role of early treatment response for patients with locally advanced non-small cell lung cancer (LA-NSCLC) treated with concurrent chemo-radiotherapy (cCRT) is unclear. The study aims to investigate the predictive value of response to induction chemotherapy (iCX) and the correlation with pattern of failure (PoF).

Patients with LA-NSCLC treated with cCRT were included for analyses (n = 276). Target delineations were registered from radiotherapy planning PET/CT to diagnostic PET/CT, in between which patients received iCX. Volume, sphericity, and SUVpeak were extracted from each scan. First site of failure was categorised as loco-regional (LR), distant (DM), or simultaneous LR+M (LR+M). Fine and Gray models for PoF were performed: a baseline model (including performance status (PS), stage, and histology), an image model for squamous cell carcinoma (SCC), and an image model for non-SCC. Parameters included PS, volume (VOL) of tumour, VOL of lymph nodes, ΔVOL, sphericity, SUVpeak, ΔSUVpeak, and oligometastatic disease.

Median follow-up was 7.6 years. SCC had higher sub-distribution hazard ratio (sHR) for LRF (sHR = 2.771 [1.577:4.87], p < 0.01) and decreased sHR for DM (sHR = 0.247 [0.125:0.485], p  <  0.01). For both image models, high diagnostic SUVpeak increased risk of LRF (sHR = 1.059 [1.05:1.106], p < 0.01 for SCC, sHR = 1.12 [1.03:1.21], p < 0.01 for non-SCC). Patients with SCC and less decrease in VOL had higher sHR for DM (sHR = 1.025[1.001:1.048] pr. % increase, p = 0.038).

Poor response in disease volume was correlated with higher sHR of DM for SCC, no other clear correlation of response and PoF was observed. Histology significantly correlated with PoF with SCC prone to LRF and non-SCC prone to DM as first site of failure. High SUVpeak at diagnosis increased the risk of LRF for both histologies.

To elucidate the impact of [18F]FDG positron emission tomography/computed tomography (PET/CT) vs. CT workup on staging and prognostic evaluation of clinical stage (c) I-II NSCLC.

We retrospectively identified 659 cI-II NSCLC who underwent CT (267 patients) or preoperative CT followed by PET/CT (392 patients), followed by curative-intended complete resection in our hospital from January 2008 to December 2013. Differences were assessed between preoperative and postoperative stage. Five-year disease-free survival (DFS) and overall survival (OS) rates were calculated using the Kaplan-Meier approach and compared with log-rank test. Impact of preoperative PET/CT on survival was assessed by Cox regression analysis.

The study included 659 patients [mean age, 59.5 years ± 10.8 (standard deviation); 379 men]. The PET/CT group was superior over CT group in DFS [12.6 vs. 6.9 years, HR 0.67 (95% CI 0.53-0.84), p < 0.001] and OS [13.9 vs. 10.5 years, HR 0.64 (95% CI 0.50-0.81), p < 0.001]. In CT group, more patients thought to have cN0 migrated to pN1/2 disease as compared with PET/CT group [26.4% (66/250) vs. 19.2% (67/349), p < 0.001], resulting in more stage cI cases being upstaged to pII-IV [24.7% (49/198) vs. 16.1% (47/292), p = 0.02], yet this was not found in cII NSCLC [27.5% (19/69) vs. 27.0% (27/100), p = 0.94]. Cox regression analysis identified preoperative PET/CT as an independent prognostic factor of OS and DFS (p = 0.002, HR = 0.69, 95% CI 0.54-0.88; p = 0.004, HR = 0.72, 95% CI 0.58-0.90).

Addition of preoperative [18F]FDG PET/CT was associated with superior DFS and OS in resectable cI-II NSCLC, which may result from accurate staging and stage-appropriate therapy.

Lung cancer is a highly vascularized tumor for which a combination between an antitumor agent, cisplatin, and an antiangiogenic molecule, fisetin, appears a promising therapeutic approach. In order to deliver both chemotherapies within the tumor, to enhance fisetin solubility and decrease cisplatin toxicity, an encapsulation of both drugs into liposomes was developed. Purification and freeze-drying protocols were optimized to improve both the encapsulation and liposome storage. The cytotoxicity of the encapsulated chemotherapies was evaluated on Lewis lung carcinoma (3LL) cell lines. The antitumor effect of the combination was evaluated in vivo on an ectopic mouse model of Lewis Lung carcinoma. The results showed that fisetin and cisplatin co-loaded liposomes were successfully prepared. Freeze-drying allowed a 30 days storage limiting the release of both drugs. The combination index between liposomal fisetin and liposomal cisplatin on 3LL cell line after 24 h of exposure showed a clear synergism: CI = 0.7 for the co loaded liposomes and CI = 0.9 for the mixture of cisplatin loaded and fisetin loaded liposomes. The co-encapsulating formulation showed in vivo efficacy against an ectopic murine model of Lewis Lung carcinoma with a probable reduction in the toxicity of cisplatin through co-encapsulation with fisetin.

The standard treatment for pathological N2 (pN2) non-small-cell lung cancer (NSCLC) patients is definitive chemoradiation. Surgery might be beneficial for resectable pN2 disease, so we investigated the recurrence-free interval of upfront surgery for selected patients with resectable pN2 disease.

The clinicopathologic characteristics of patients with pN2 NSCLC who underwent upfront anatomical resection at Taipei Veterans General Hospital from 2011 January to 2019 December were retrospectively reviewed. A Cox regression model was used to identify prognostic factors of recurrence-free survival (RFS).

In total, 84 patients after curative lung anatomic resection were analyzed, with a 44-month median survival. The 1-, 3-, and 5-year RFS rates were 63.1%, 31.3%, and 19.9%, respectively, with a median RFS of 18.9 months. Multivariable cox regression analysis identified that the significant predictor for RFS was a tumor size of more than 3 cm (hazard ratio [HR] = 1.74, 95% CI, 1.07-2.83, p = 0.027). Visceral pleural invasion, LN harvest number, tumor stage, and N2 status including single zone (N2a) or multiple zones (N2b) were not prognostic factors in this study.

Upfront surgery for resectable N2 disease achieved favorable outcomes in selected patients, especially better recurrence control with limited tumor size. Therapeutic advances might encourage surgeons to aggressive intervention.

The global cancer burden, especially in low- and middle-income countries (LMICs), worsens existing disparities, amplified by the rising costs of advanced treatments. The shortage of radiation therapy (RT) services is a significant issue in LMICs. Extended conventional treatment regimens pose significant challenges, especially in resource-limited settings. Hypofractionated radiotherapy (HRT) and ultra-hypofractionated/stereotactic body radiation therapy (SBRT) offer promising alternatives by shortening treatment durations. This approach optimizes the utilization of radiotherapy machines, making them more effective in meeting the growing demand for cancer care. Adopting HRT/SBRT holds significant potential, especially in LMICs. This review provides the latest clinical evidence and guideline recommendations for the application of HRT/SBRT in the treatment of breast, prostate, and lung cancers. It emphasizes the critical importance of rigorous training, technology, stringent quality assurance, and safety protocols to ensure precise and secure treatments. Additionally, it addresses practical considerations for implementing these treatments in LMICs, highlighting the need for comprehensive support and collaboration to enhance patient access to advanced cancer care.

Programmed death ligand 1 (PD-L1) expression on tumour cells is the only predictive biomarker of response to immuno-modulatory therapy for patients with non-small-cell lung cancer (NSCLC). Accuracy of this biomarker is hampered by its challenging interpretation. Here we explore if the use of machine-learning derived image analysis tools can improve interpathologist concordance of assessing PD-L1 expression in NSCLC.Five pathologists who routinely score PD-L1 at a major regional referral hospital for thoracic surgery participated. 13 NSCLC small diagnostic biopsies were stained for PD-L1 (SP263 clone) and digitally scanned. Each pathologist independently scored each case with and without the Roche uPath PD-L1 (SP263) image analysis NSCLC algorithm with a wash-out interim period of 6 weeks.A consistent improvement in interpathologist concordance was seen when using the image analysis tool compared with scoring without: (Fleiss' kappa 0.886 vs 0.613 (p<0.0001) and intraclass coefficient correlation 0.954 vs 0.837 (p<0.001)). Five cases (38%) were classified into clinically relevant different categories (negative/weak/strong) by multiple pathologists when not using the image analysis algorithm, whereas only two cases (15%) were classified differently when using the image analysis algorithm.The use of the image analysis algorithm improved the concordance of assessing PD-L1 expression between pathologists. Critically, there was a marked improvement in the placement of cases into more consistent clinical groupings. This small study is evidence that the use of image analysis tools may improve consistency in assessing tumours for PD-L1 expression and may therefore result in more consistent prediction to targeted treatment options.

In order to improve the treatment of lung cancer, this paper looks at the development of cisplatinbased liposomal nanocarriers. It focuses on addressing the drawbacks of conventional cisplatin therapy, including systemic toxicity, inadequate tumor targeting, and drug resistance. Liposomes, or spherical lipid vesicles, offer a potentially effective way to encapsulate cisplatin, enhancing its transport and minimizing harmful effects on healthy tissues. The article discusses many liposomal cisplatin formulations, including pH-sensitive liposomes, sterically stabilized liposomes, and liposomes coupled with specific ligands like EGFR antibodies. These novel formulations show promise in reducing cisplatin resistance, optimizing pharmacokinetics, and boosting therapeutic results in the two in vitro and in vivo models. They also take advantage of the Enhanced Permeability and Retention (EPR) effect in the direction of improved tumor accumulation. The study highlights the need for more investigation to move these liposomal formulations from experimental to clinical settings, highlighting their potential to offer less harmful and more effective cancer therapy alternatives.

In stage IIIA non-small cell lung cancer (NSCLC), surgery plays a role in terms of multimodal treatment. Surgery rates have increased in recent years, mainly due to the combination of more accurate imaging tools, electromagnetic navigation bronchoscopy, robotic bronchoscopy, robotic surgery, and a wide range of challenging clinical scenarios to lead surgeons and oncologists to include surgery as an option in therapeutic management.

To assess the prognostic factors, the 5-year overall survival (OS) and cancer-specific survival (CSS) of patients with resectable stage III-NSCLC.

Patients' information was extracted from 76 Hospitals' Cancer Registry. OS and CSS were constructed using the Kaplan-Meier method, and the log-rank test was used to assess differences between curves. In addition, Cox regression was conducted to evaluate the patients' characteristics leading to better OS and CSS.

Overall, 433 stage III NSCLC surgical patients followed over 19 years were included. The median age was 61.29 ± 9.62 years, 58.4% male, 50.1% with adenocarcinoma, 29.3% with squamous cell carcinoma, 3.7% with large-cell lung carcinoma, and 16,9% with other lung cancer types. The 5-year OS was 30.6% (95% confidence interval [CI]: 27.4-36.1), and the CSS was 35.0% (95% CI: 29.4-41.0). In the Cox multivariate regression, squamous cell carcinoma was associated with reduced OS (hazard ratio [HR]: 1.40; 95% CI: 1.07-1.83; p=0.014) and CSS (HR: 1.56; 95% CI: 1.17-2.08; p = 0.002), in comparison with adenocarcinoma. The 2015-2019 quinquennial had a 50% reduction in HR (0.49; 95% CI: 0.29-0.81; p = 0.006), and the 2010-2014 group had a 40% reduction (0.59; 95% CI: 0.42-0.83; p = 0.006) in comparison with the 2000-2004 patients' group.

The OS and CSS of patients with resectable stage III NSCLC have improved over the past 19 years in our region. Squamous cell carcinoma was associated with increased mortality risk from any cause or specific cancer.

For much of the past two decades, the treatment options for patients with stage III NSCLC were mostly stagnant. In the past 5 years, ongoing innovations have dovetailed alongside advances in biomarker testing, novel therapeutics, precision surgery, and radiotherapy, all of which are leading to an increase in more personalized option for the treatment. This review article will focus on several completed and ongoing initiatives involving treatment of patients with stage III NSCLC. First, it will tackle the progress made in curative treatment of unresectable stage III NSCLC, starting with PACIFIC, and branching out into topics such as concurrent immunotherapy and chemoradiation, intensification of consolidative immunotherapy, dual immunotherapy consolidation, and a reflection on those subpopulations that may not benefit from consolidative immunotherapy. Second, there will be discussion of novel strategies in the setting of resectable stage III disease, most notably neoadjuvant therapy using combined chemoimmunotherapy and immunotherapy alone before surgical resection. Third, it will delve into recent data evaluating adjuvant immunotherapy for resectable stage III NSCLC, including adjuvant targeted therapy (for those harboring driver mutations) and postoperative radiotherapy. Finally, a look to future trials/initiatives will be interspersed throughout the review, to reveal the ongoing efforts being made to continue to improve outcomes in this group of patients.

The study aimed to compare the metastatic pattern of breast cancer and the intermodality proportion of agreement between [18F]FDG-PET/CT and CE-CT. Women with metastatic breast cancer (MBC) were enrolled prospectively and underwent a combined [18F]FDG-PET/CT and CE-CT scan to diagnose MBC. Experienced nuclear medicine and radiology physicians evaluated the scans blinded to the opposite scan results. Descriptive statistics were applied, and the intermodality proportion of agreement was used to compare [18F]FDG-PET/CT and CE-CT. In total, 76 women with verified MBC were enrolled in the study. The reported number of site-specific metastases for [18F]FDG-PET/CT vs. CE-CT was 53 (69.7%) vs. 44 (57.9%) for bone lesions, 31 (40.8%) vs. 43 (56.6%) for lung lesions, and 16 (21.1%) vs. 23 (30.3%) for liver lesions, respectively. The proportion of agreement between imaging modalities was 76.3% (95% CI 65.2-85.3) for bone lesions; 82.9% (95% CI 72.5-90.6) for liver lesions; 57.9% (95% CI 46.0-69.1) for lung lesions; and 59.2% (95% CI 47.3-70.4) for lymph nodes. In conclusion, bone and distant lymph node metastases were reported more often by [18F]FDG-PET/CT than CE-CT, while liver and lung metastases were reported more often by CE-CT than [18F]FDG-PET/CT. Agreement between scans was highest for bone and liver lesions and lowest for lymph node metastases.