Melinda Talley , Kathryn Starzyk , Scott Pohlman , Julia Olsen , Paul Buzinec , Jamie Williams
{"title":"标准乳房x线照相术与高分辨率数字乳房x线照相术筛查女性的结果","authors":"Melinda Talley , Kathryn Starzyk , Scott Pohlman , Julia Olsen , Paul Buzinec , Jamie Williams","doi":"10.1016/j.clinimag.2025.110553","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>This study compared breast cancer screening outcomes between high resolution (HR; 70-micron) and standard resolution (SR; 100-micron) digital breast tomosynthesis (DBT) systems in real-world practice.</div></div><div><h3>Methods</h3><div>This retrospective, observational cohort study included women ages 40–79 screened for breast cancer at a U.S. health system from 2013 to 2023. Cancer detection rate (CDR), recall rate (RR), and positive predictive value of recall (PPV1) were reported. The odds of each outcome following HR versus SR DBT, adjusted for age, race, density, risk status, prior resolution, facility, and radiologist, were estimated using logistic regression. Additional analyses assessed the impact of having prior mammograms on outcome measures.</div></div><div><h3>Results</h3><div>A total of 184,006 mammograms were included (95,633 SR, 88,373 HR). The CDR was 5.38/1000 (HR) and 4.87/1000 (SR) (<em>p</em> = 0.1296). The increase in cancer detection with HR was statistically significant after adjusting for potential confounders (OR = 1.370, 95 % CI:1.117, 1.681). The RR was 9.80 % (HR) and 9.07 % (SR) (<em>p</em> < 0.0001), with an adjusted OR of 1.392 (95 % CI:1.327, 1.460). PPV1 was similar: 5.57 % (HR), 5.45 % (SR) (<em>p</em> = 0.2730). For exams with a known prior, the CDR was 5.38/1000 (HR) and 4.22/1000 (SR) (<em>p</em> = 0.0020), the RR was 9.39 % (HR) and 7.80 % (SR) (<em>p</em> < 0.0001), and the PPV1 was 5.74 % (HR) and 5.49 % (SR) (<em>p</em> = 0.0437). For HR exams with a known prior, the RR was 10.00 % (SR prior) and 9.14 % (HR prior) (<em>p</em> = 0.0001).</div></div><div><h3>Conclusions</h3><div>This large, real-world study demonstrated that HR DBT is associated with a higher CDR than SR DBT, with a greater increase in CDR for exams with a known prior.</div></div>","PeriodicalId":50680,"journal":{"name":"Clinical Imaging","volume":"125 ","pages":"Article 110553"},"PeriodicalIF":1.5000,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mammography screening outcomes for women screened by standard versus high resolution digital breast tomosynthesis\",\"authors\":\"Melinda Talley , Kathryn Starzyk , Scott Pohlman , Julia Olsen , Paul Buzinec , Jamie Williams\",\"doi\":\"10.1016/j.clinimag.2025.110553\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>This study compared breast cancer screening outcomes between high resolution (HR; 70-micron) and standard resolution (SR; 100-micron) digital breast tomosynthesis (DBT) systems in real-world practice.</div></div><div><h3>Methods</h3><div>This retrospective, observational cohort study included women ages 40–79 screened for breast cancer at a U.S. health system from 2013 to 2023. Cancer detection rate (CDR), recall rate (RR), and positive predictive value of recall (PPV1) were reported. The odds of each outcome following HR versus SR DBT, adjusted for age, race, density, risk status, prior resolution, facility, and radiologist, were estimated using logistic regression. Additional analyses assessed the impact of having prior mammograms on outcome measures.</div></div><div><h3>Results</h3><div>A total of 184,006 mammograms were included (95,633 SR, 88,373 HR). The CDR was 5.38/1000 (HR) and 4.87/1000 (SR) (<em>p</em> = 0.1296). The increase in cancer detection with HR was statistically significant after adjusting for potential confounders (OR = 1.370, 95 % CI:1.117, 1.681). The RR was 9.80 % (HR) and 9.07 % (SR) (<em>p</em> < 0.0001), with an adjusted OR of 1.392 (95 % CI:1.327, 1.460). PPV1 was similar: 5.57 % (HR), 5.45 % (SR) (<em>p</em> = 0.2730). For exams with a known prior, the CDR was 5.38/1000 (HR) and 4.22/1000 (SR) (<em>p</em> = 0.0020), the RR was 9.39 % (HR) and 7.80 % (SR) (<em>p</em> < 0.0001), and the PPV1 was 5.74 % (HR) and 5.49 % (SR) (<em>p</em> = 0.0437). For HR exams with a known prior, the RR was 10.00 % (SR prior) and 9.14 % (HR prior) (<em>p</em> = 0.0001).</div></div><div><h3>Conclusions</h3><div>This large, real-world study demonstrated that HR DBT is associated with a higher CDR than SR DBT, with a greater increase in CDR for exams with a known prior.</div></div>\",\"PeriodicalId\":50680,\"journal\":{\"name\":\"Clinical Imaging\",\"volume\":\"125 \",\"pages\":\"Article 110553\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Imaging\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0899707125001536\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Imaging","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0899707125001536","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
Mammography screening outcomes for women screened by standard versus high resolution digital breast tomosynthesis
Objective
This study compared breast cancer screening outcomes between high resolution (HR; 70-micron) and standard resolution (SR; 100-micron) digital breast tomosynthesis (DBT) systems in real-world practice.
Methods
This retrospective, observational cohort study included women ages 40–79 screened for breast cancer at a U.S. health system from 2013 to 2023. Cancer detection rate (CDR), recall rate (RR), and positive predictive value of recall (PPV1) were reported. The odds of each outcome following HR versus SR DBT, adjusted for age, race, density, risk status, prior resolution, facility, and radiologist, were estimated using logistic regression. Additional analyses assessed the impact of having prior mammograms on outcome measures.
Results
A total of 184,006 mammograms were included (95,633 SR, 88,373 HR). The CDR was 5.38/1000 (HR) and 4.87/1000 (SR) (p = 0.1296). The increase in cancer detection with HR was statistically significant after adjusting for potential confounders (OR = 1.370, 95 % CI:1.117, 1.681). The RR was 9.80 % (HR) and 9.07 % (SR) (p < 0.0001), with an adjusted OR of 1.392 (95 % CI:1.327, 1.460). PPV1 was similar: 5.57 % (HR), 5.45 % (SR) (p = 0.2730). For exams with a known prior, the CDR was 5.38/1000 (HR) and 4.22/1000 (SR) (p = 0.0020), the RR was 9.39 % (HR) and 7.80 % (SR) (p < 0.0001), and the PPV1 was 5.74 % (HR) and 5.49 % (SR) (p = 0.0437). For HR exams with a known prior, the RR was 10.00 % (SR prior) and 9.14 % (HR prior) (p = 0.0001).
Conclusions
This large, real-world study demonstrated that HR DBT is associated with a higher CDR than SR DBT, with a greater increase in CDR for exams with a known prior.
期刊介绍:
The mission of Clinical Imaging is to publish, in a timely manner, the very best radiology research from the United States and around the world with special attention to the impact of medical imaging on patient care. The journal''s publications cover all imaging modalities, radiology issues related to patients, policy and practice improvements, and clinically-oriented imaging physics and informatics. The journal is a valuable resource for practicing radiologists, radiologists-in-training and other clinicians with an interest in imaging. Papers are carefully peer-reviewed and selected by our experienced subject editors who are leading experts spanning the range of imaging sub-specialties, which include:
-Body Imaging-
Breast Imaging-
Cardiothoracic Imaging-
Imaging Physics and Informatics-
Molecular Imaging and Nuclear Medicine-
Musculoskeletal and Emergency Imaging-
Neuroradiology-
Practice, Policy & Education-
Pediatric Imaging-
Vascular and Interventional Radiology