|
2
|
Terasawa T, Tadano T, Abe K, Sasaki S, Hosono S, Katayama T, Hoshi K, Nakayama T, Hamashima C. Single-round performance of colorectal cancer screening programs: a network meta-analysis of randomized clinical trials. BMC Med 2025; 23:110. [PMID: 39985068 PMCID: PMC11846209 DOI: 10.1186/s12916-025-03948-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Accepted: 02/13/2025] [Indexed: 02/24/2025] Open
Abstract
BACKGROUND Demonstrating mortality reduction in new colorectal cancer (CRC) screening programs through randomized clinical trials (RCTs) is challenging. We systematically reviewed single-round program performance outcomes using a stepwise approach proposed by the World Endoscopy Organization CRC Screening Committee framework. METHODS The MEDLINE, EMBASE, Central, and Ichushi Web databases were searched until October 28, 2024, to find RCTs comparing guaiac-based and immunochemical fecal occult blood testing (gFOBT and FIT), flexible sigmoidoscopy (FS), computed tomographic colonography (CTC), and total colonoscopy (TCS). Paired reviewers screened studies, extracted data, and assessed bias risk. A Bayesian random-effects network meta-analysis was conducted, and the certainty of evidence was evaluated using the Grading of Recommendations Assessment, Development and Evaluation approach. The primary outcome was advanced neoplasia (AN) detection, and the secondary outcomes were participation and colorectal cancer (CRC) detection, all during the first screening round. RESULTS Eighteen RCTs (437,072 invitees) were included. The risk of bias was low or raised some concerns for screening participation, but it was high for detection outcomes. In the network meta-analysis of 15 RCTs not allowing crossover, the FIT-based program had a higher AN detection rate than the gFOBT-based program (relative risk [RR] 2.48; 95% credible interval [CrI] 1.52-4.21; moderate certainty). AN detection rates were not different in the CTC- (RR 1.01; CrI 0.43-2.23; very low certainty) and TCS-based (RR 1.03; CrI 0.54-1.78; low certainty) programs compared with the FS-based program. All the visualization modality programs had higher AN detection rates than the FIT-based program (FS: RR 2.13 [CrI 1.38-3.77]; CTC 2.16 [1.11-4.51]; and TCS 2.19 [1.43-3.48]; all with low certainty). Low event rates precluded definitive conclusions regarding CRC detection (very low to low certainty). The TCS-based program had the worst participation rate (very low to low certainty). Comparative data allowing crossover were limited. CONCLUSIONS This is the first network meta-analysis that evaluates program-level initial performance indicators. FIT-based programs likely detect more AN cases than gFOBT-based programs, while FS-, CTC-, and TCS-based programs may outperform FIT. Due to limitations in first-round results, long-term outcomes should be assessed after 10-15 years.
Collapse
Affiliation(s)
- Teruhiko Terasawa
- Section of General Internal Medicine, Department of Emergency Medicine and General Internal Medicine, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-Cho, Toyoake, Aichi, 470-1192, Japan.
| | | | - Koichiro Abe
- Department of Medicine, Teikyo University School of Medicine, Tokyo, Japan
| | - Seiju Sasaki
- Center for Preventive Medicine, St. Luke's International Hospital Affiliated Clinic, Tokyo, Japan
| | - Satoyo Hosono
- Division of Cancer Screening Assessment and Management, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Takafumi Katayama
- Department of Statistics and Computer Science, College of Nursing Art and Science, University of Hyogo, Hyogo, Japan
| | - Keika Hoshi
- Center for Health Informatics Policy, National Institute of Public Health, Wako, Japan
| | - Tomio Nakayama
- Division of Cancer Screening Assessment and Management, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Chisato Hamashima
- Department of Nursing, Faculty of Medical Technology, Teikyo University, Tokyo, Japan
| |
Collapse
|
|
4
|
Abbas A, Liu PH, Singal AG, Brewington C. Evolving trends in CT colonography: A 10-year analysis of use and associated factors. Clin Imaging 2024; 113:110241. [PMID: 39088934 DOI: 10.1016/j.clinimag.2024.110241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 06/27/2024] [Accepted: 07/23/2024] [Indexed: 08/03/2024]
Abstract
PURPOSE Computed tomographic colonography (CTC) is a non-invasive screening test for colorectal cancer (CRC) with high sensitivity and low risk of complications. We used a nationally representative sample of screening-eligible adults to examine trends in and factors associated with CTC use. METHODS We examined CTC use among 58,058 adults in the National Health Interview Survey in 2010, 2015, 2018, 2019, and 2021. For each survey year, we estimated CTC use by sociodemographic and health factors. We used multivariable logistic regression to identify factors associated with CTC use. RESULTS A total of 1.7 % adults reported receiving CTC across all survey years. CTC use was similar in 2010 (1.3 %), 2015 (0.8 %), 2018 (1.4 %), and 2019 (1.4 %) but increased in 2021 (3.5 %, p < 0.05). In multivariable analysis, survey year 2021 [vs. 2010, odds ratio (OR) 2.51, 95 % confidence interval (CI) 1.83-3.43], Hispanic (OR 1.73, 95 % CI 1.34-2.23), non-Hispanic Black (OR 2.07, 95 % CI 1.67-2.57), and household income <200 % federal poverty level (vs. >400 %, OR 1.25, 95 % CI 1.01-1.57) was associated with CTC use. Further, adults with a history of diabetes (OR 1.20, 95 % CI 1.01-1.45), chronic obstructive pulmonary disease (OR 1.58, 95 % CI 1.25-1.99), cancer (OR 1.29, 95 % CI 1.05-1.58), or past-year hospital admissions (OR 1.44, 95 % CI 1.18-1.78) were more likely to receive CTC. CONCLUSION CTC use remained low from 2010 to 2019 but increased in 2021. CTC use was more frequent among adults with chronic health conditions, minorities, and adults with lower income, and may help reduce disparities in CRC screening.
Collapse
Affiliation(s)
- Ali Abbas
- School of Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, USA
| | - Po-Hong Liu
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, USA.
| | - Amit G Singal
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, USA
| | - Cecelia Brewington
- Department of Radiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, USA
| |
Collapse
|
|
5
|
Abraham P, Haddad A, Bishay AE, Bishay S, Sonubi C, Jaramillo-Cardoso A, Sava M, Yee J, Flores EJ, Spalluto LB. Social Determinants of Health in Imaging-based Cancer Screening: A Case-based Primer with Strategies for Care Improvement. Radiographics 2023; 43:e230008. [PMID: 37824411 PMCID: PMC10612293 DOI: 10.1148/rg.230008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 05/05/2023] [Accepted: 05/24/2023] [Indexed: 10/14/2023]
Abstract
Health disparities, preventable differences in the burden of disease and disease outcomes often experienced by socially disadvantaged populations, can be found in nearly all areas of radiology, including emergency radiology, neuroradiology, nuclear medicine, image-guided interventions, and imaging-based cancer screening. Disparities in imaging-based cancer screening are especially noteworthy given the far-reaching population health impact. The social determinants of health (SDoH) play an important role in disparities in cancer screening and outcomes. Through improved understanding of how SDoH can drive differences in health outcomes in radiology, radiologists can effectively provide patient-centered, high-quality, and equitable care. Radiologists and radiology practices can become active partners in efforts to assist patients along their imaging journey and overcome existing barriers to equitable cancer screening care for traditionally marginalized populations. As radiology exists at the intersection of diagnostic imaging, image-guided diagnostic intervention, and image-guided treatment, radiologists are uniquely positioned to design these strategies. Cost-effective and socially conscious strategies that address barriers to equitable care can improve both public health and equitable health outcomes. Potential strategies include championing supportive health policy, reducing out-of-pocket costs, increasing price transparency, improving education and outreach efforts, ensuring that appropriate language translation services are available, providing individualized assistance with appointment scheduling, and offering transportation assistance and childcare. ©RSNA, 2023 Quiz questions for this article are available in the supplemental material.
Collapse
Affiliation(s)
- Peter Abraham
- From the Department of Radiology, University of California San Diego,
200 W Arbor Dr, San Diego, CA 92103 (P.A., A.H.); Vanderbilt University School
of Medicine, Nashville, Tenn (A.E.B., S.B.); Department of Rehabilitation
Medicine, Emory University School of Medicine, Atlanta, Ga (C.S.); Department of
Radiology, Vanderbilt University Medical Center, Nashville, Tenn (A.J.C.,
L.B.S.); Advanced Diagnostic Imaging, Nashville, Tenn (M.S.); Department of
Radiology, Albert Einstein College of Medicine, New York, NY (J.Y.); Department
of Radiology, Massachusetts General Hospital, Boston, Mass (E.J.F.);
Vanderbilt-Ingram Cancer Center, Nashville, Tenn (L.B.S.); and Veterans Health
Administration–Tennessee Valley Health Care System Geriatric Research,
Education and Clinical Center (GRECC), Nashville, Tenn (L.B.S.)
| | - Aida Haddad
- From the Department of Radiology, University of California San Diego,
200 W Arbor Dr, San Diego, CA 92103 (P.A., A.H.); Vanderbilt University School
of Medicine, Nashville, Tenn (A.E.B., S.B.); Department of Rehabilitation
Medicine, Emory University School of Medicine, Atlanta, Ga (C.S.); Department of
Radiology, Vanderbilt University Medical Center, Nashville, Tenn (A.J.C.,
L.B.S.); Advanced Diagnostic Imaging, Nashville, Tenn (M.S.); Department of
Radiology, Albert Einstein College of Medicine, New York, NY (J.Y.); Department
of Radiology, Massachusetts General Hospital, Boston, Mass (E.J.F.);
Vanderbilt-Ingram Cancer Center, Nashville, Tenn (L.B.S.); and Veterans Health
Administration–Tennessee Valley Health Care System Geriatric Research,
Education and Clinical Center (GRECC), Nashville, Tenn (L.B.S.)
| | - Anthony E. Bishay
- From the Department of Radiology, University of California San Diego,
200 W Arbor Dr, San Diego, CA 92103 (P.A., A.H.); Vanderbilt University School
of Medicine, Nashville, Tenn (A.E.B., S.B.); Department of Rehabilitation
Medicine, Emory University School of Medicine, Atlanta, Ga (C.S.); Department of
Radiology, Vanderbilt University Medical Center, Nashville, Tenn (A.J.C.,
L.B.S.); Advanced Diagnostic Imaging, Nashville, Tenn (M.S.); Department of
Radiology, Albert Einstein College of Medicine, New York, NY (J.Y.); Department
of Radiology, Massachusetts General Hospital, Boston, Mass (E.J.F.);
Vanderbilt-Ingram Cancer Center, Nashville, Tenn (L.B.S.); and Veterans Health
Administration–Tennessee Valley Health Care System Geriatric Research,
Education and Clinical Center (GRECC), Nashville, Tenn (L.B.S.)
| | - Steven Bishay
- From the Department of Radiology, University of California San Diego,
200 W Arbor Dr, San Diego, CA 92103 (P.A., A.H.); Vanderbilt University School
of Medicine, Nashville, Tenn (A.E.B., S.B.); Department of Rehabilitation
Medicine, Emory University School of Medicine, Atlanta, Ga (C.S.); Department of
Radiology, Vanderbilt University Medical Center, Nashville, Tenn (A.J.C.,
L.B.S.); Advanced Diagnostic Imaging, Nashville, Tenn (M.S.); Department of
Radiology, Albert Einstein College of Medicine, New York, NY (J.Y.); Department
of Radiology, Massachusetts General Hospital, Boston, Mass (E.J.F.);
Vanderbilt-Ingram Cancer Center, Nashville, Tenn (L.B.S.); and Veterans Health
Administration–Tennessee Valley Health Care System Geriatric Research,
Education and Clinical Center (GRECC), Nashville, Tenn (L.B.S.)
| | - Chiamaka Sonubi
- From the Department of Radiology, University of California San Diego,
200 W Arbor Dr, San Diego, CA 92103 (P.A., A.H.); Vanderbilt University School
of Medicine, Nashville, Tenn (A.E.B., S.B.); Department of Rehabilitation
Medicine, Emory University School of Medicine, Atlanta, Ga (C.S.); Department of
Radiology, Vanderbilt University Medical Center, Nashville, Tenn (A.J.C.,
L.B.S.); Advanced Diagnostic Imaging, Nashville, Tenn (M.S.); Department of
Radiology, Albert Einstein College of Medicine, New York, NY (J.Y.); Department
of Radiology, Massachusetts General Hospital, Boston, Mass (E.J.F.);
Vanderbilt-Ingram Cancer Center, Nashville, Tenn (L.B.S.); and Veterans Health
Administration–Tennessee Valley Health Care System Geriatric Research,
Education and Clinical Center (GRECC), Nashville, Tenn (L.B.S.)
| | - Adrian Jaramillo-Cardoso
- From the Department of Radiology, University of California San Diego,
200 W Arbor Dr, San Diego, CA 92103 (P.A., A.H.); Vanderbilt University School
of Medicine, Nashville, Tenn (A.E.B., S.B.); Department of Rehabilitation
Medicine, Emory University School of Medicine, Atlanta, Ga (C.S.); Department of
Radiology, Vanderbilt University Medical Center, Nashville, Tenn (A.J.C.,
L.B.S.); Advanced Diagnostic Imaging, Nashville, Tenn (M.S.); Department of
Radiology, Albert Einstein College of Medicine, New York, NY (J.Y.); Department
of Radiology, Massachusetts General Hospital, Boston, Mass (E.J.F.);
Vanderbilt-Ingram Cancer Center, Nashville, Tenn (L.B.S.); and Veterans Health
Administration–Tennessee Valley Health Care System Geriatric Research,
Education and Clinical Center (GRECC), Nashville, Tenn (L.B.S.)
| | - Melinda Sava
- From the Department of Radiology, University of California San Diego,
200 W Arbor Dr, San Diego, CA 92103 (P.A., A.H.); Vanderbilt University School
of Medicine, Nashville, Tenn (A.E.B., S.B.); Department of Rehabilitation
Medicine, Emory University School of Medicine, Atlanta, Ga (C.S.); Department of
Radiology, Vanderbilt University Medical Center, Nashville, Tenn (A.J.C.,
L.B.S.); Advanced Diagnostic Imaging, Nashville, Tenn (M.S.); Department of
Radiology, Albert Einstein College of Medicine, New York, NY (J.Y.); Department
of Radiology, Massachusetts General Hospital, Boston, Mass (E.J.F.);
Vanderbilt-Ingram Cancer Center, Nashville, Tenn (L.B.S.); and Veterans Health
Administration–Tennessee Valley Health Care System Geriatric Research,
Education and Clinical Center (GRECC), Nashville, Tenn (L.B.S.)
| | - Judy Yee
- From the Department of Radiology, University of California San Diego,
200 W Arbor Dr, San Diego, CA 92103 (P.A., A.H.); Vanderbilt University School
of Medicine, Nashville, Tenn (A.E.B., S.B.); Department of Rehabilitation
Medicine, Emory University School of Medicine, Atlanta, Ga (C.S.); Department of
Radiology, Vanderbilt University Medical Center, Nashville, Tenn (A.J.C.,
L.B.S.); Advanced Diagnostic Imaging, Nashville, Tenn (M.S.); Department of
Radiology, Albert Einstein College of Medicine, New York, NY (J.Y.); Department
of Radiology, Massachusetts General Hospital, Boston, Mass (E.J.F.);
Vanderbilt-Ingram Cancer Center, Nashville, Tenn (L.B.S.); and Veterans Health
Administration–Tennessee Valley Health Care System Geriatric Research,
Education and Clinical Center (GRECC), Nashville, Tenn (L.B.S.)
| | - Efren J. Flores
- From the Department of Radiology, University of California San Diego,
200 W Arbor Dr, San Diego, CA 92103 (P.A., A.H.); Vanderbilt University School
of Medicine, Nashville, Tenn (A.E.B., S.B.); Department of Rehabilitation
Medicine, Emory University School of Medicine, Atlanta, Ga (C.S.); Department of
Radiology, Vanderbilt University Medical Center, Nashville, Tenn (A.J.C.,
L.B.S.); Advanced Diagnostic Imaging, Nashville, Tenn (M.S.); Department of
Radiology, Albert Einstein College of Medicine, New York, NY (J.Y.); Department
of Radiology, Massachusetts General Hospital, Boston, Mass (E.J.F.);
Vanderbilt-Ingram Cancer Center, Nashville, Tenn (L.B.S.); and Veterans Health
Administration–Tennessee Valley Health Care System Geriatric Research,
Education and Clinical Center (GRECC), Nashville, Tenn (L.B.S.)
| | - Lucy B. Spalluto
- From the Department of Radiology, University of California San Diego,
200 W Arbor Dr, San Diego, CA 92103 (P.A., A.H.); Vanderbilt University School
of Medicine, Nashville, Tenn (A.E.B., S.B.); Department of Rehabilitation
Medicine, Emory University School of Medicine, Atlanta, Ga (C.S.); Department of
Radiology, Vanderbilt University Medical Center, Nashville, Tenn (A.J.C.,
L.B.S.); Advanced Diagnostic Imaging, Nashville, Tenn (M.S.); Department of
Radiology, Albert Einstein College of Medicine, New York, NY (J.Y.); Department
of Radiology, Massachusetts General Hospital, Boston, Mass (E.J.F.);
Vanderbilt-Ingram Cancer Center, Nashville, Tenn (L.B.S.); and Veterans Health
Administration–Tennessee Valley Health Care System Geriatric Research,
Education and Clinical Center (GRECC), Nashville, Tenn (L.B.S.)
| |
Collapse
|
|
9
|
Shen J, Lu S, Qu R, Zhao H, Zhang L, Chang A, Zhang Y, Fu W, Zhang Z. A boundary-guided transformer for measuring distance from rectal tumor to anal verge on magnetic resonance images. PATTERNS (NEW YORK, N.Y.) 2023; 4:100711. [PMID: 37123445 PMCID: PMC10140608 DOI: 10.1016/j.patter.2023.100711] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 10/17/2022] [Accepted: 02/24/2023] [Indexed: 03/29/2023]
Abstract
Accurate measurement of the distance from the tumor's lowest boundary to the anal verge (DTAV) provides an important reference value for treatment of rectal cancer, but the standard measurement method (colonoscopy) causes substantial pain. Therefore, we propose a method for automatically measuring the DTAV on sagittal magnetic resonance (MR) images. We designed a boundary-guided transformer that can accurately segment the rectum and tumor. From the segmentation results, we estimated the DTAV by automatically extracting the anterior rectal wall from the tumor's lowest point to the anal verge and then calculating its physical length. Experiments were conducted on a rectal tumor MR imaging (MRI) dataset to evaluate the efficacy of our method. The results showed that our method outperformed surgeons with 6 years of experience (p < 0.001). Furthermore, by referring to our segmentation results, attending and resident surgeons could improve their measurement precision and efficiency.
Collapse
Affiliation(s)
- Jianjun Shen
- Department of Electronics, Tsinghua University, Beijing 100084, China
| | - Siyi Lu
- Department of General Surgery, Peking University Third Hospital, Beijing 100191, China
- Cancer Center, Peking University Third Hospital, Beijing 100191 China
| | - Ruize Qu
- Department of General Surgery, Peking University Third Hospital, Beijing 100191, China
- Cancer Center, Peking University Third Hospital, Beijing 100191 China
| | - Hao Zhao
- Intel Labs, Beijing 100190, China
| | - Li Zhang
- Department of Electronics, Tsinghua University, Beijing 100084, China
| | - An Chang
- Department of Electronics, Tsinghua University, Beijing 100084, China
| | - Yu Zhang
- School of Astronautics, Beihang University, Beijing 102206, China
| | - Wei Fu
- Department of General Surgery, Peking University Third Hospital, Beijing 100191, China
- Cancer Center, Peking University Third Hospital, Beijing 100191 China
| | - Zhipeng Zhang
- Department of General Surgery, Peking University Third Hospital, Beijing 100191, China
- Cancer Center, Peking University Third Hospital, Beijing 100191 China
| |
Collapse
|