Krishnaveni Parvataneni, Regina Tamposi, Theresa C McLoud, Michael S Gee, James A Brink, Dania Daye
{"title":"Preparing the next generation of healthcare leaders through a longitudinal management and leadership training program for radiology residents.","authors":"Krishnaveni Parvataneni, Regina Tamposi, Theresa C McLoud, Michael S Gee, James A Brink, Dania Daye","doi":"10.1067/j.cpradiol.2025.04.013","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2025.04.013","url":null,"abstract":"<p><p>Though few feel adequately prepared, the increasing complexity of healthcare systems highlights a need for physicians to develop management skills. Some training programs for residents exist, including Physician Management Pathway. Such programs are inaccessible for radiology residents, underscoring the need for tailored, accessible management training fitting into the standard 4-year radiology residency. The James H. Thrall Management and Leadership Training (MLT) program at Massachusetts General Hospital was designed to address this gap with a tailored, comprehensive curriculum integrating didactics, practical experience, mentorship, and scholarly projects, integrated into the standard four-year radiology residency. The MLT program is comprised of five key components: a structured didactic curriculum, practical administrative experience, mentorship, a scholarly project, and a capstone in health policy and management or quality and patient safety. This manuscript outlines the design, implementation,a nd preliminary outcomes of the MLT program and serves as a model for developing future physician-leaders prepared to navigate the complexities of healthcare.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144027763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pranav Ajmera, Ryan Dillard, Timothy Kline, Andrew Missert, Panagiotis Korfiatis, Ashish Khandelwal
{"title":"FDA-approved artificial intelligence products in abdominal imaging: A comprehensive review.","authors":"Pranav Ajmera, Ryan Dillard, Timothy Kline, Andrew Missert, Panagiotis Korfiatis, Ashish Khandelwal","doi":"10.1067/j.cpradiol.2025.04.011","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2025.04.011","url":null,"abstract":"<p><strong>Purpose: </strong>This review aims to provide a comprehensive overview of the transformative impact of FDA-approved artificial intelligence (AI) products in abdominal imaging. It explores the evolution of AI in radiology, its rigorous FDA clearance process, and its role in revolutionizing diagnostic and non-diagnostic tasks across various abdominal organs.</p><p><strong>Methods: </strong>Through a review of literature, this study categorizes AI products based on their applications in liver, prostate, bladder, kidney, and overall abdominal imaging. It analyzes the diagnostic and non-diagnostic functionalities of these AI solutions, elucidating their capabilities in enhancing disease detection, image quality, workflow efficiency, and longitudinal comparison standardization.</p><p><strong>Results: </strong>The review identifies numerous FDA-approved AI products tailored for abdominal imaging, showcasing their diverse applications, from lesion detection and characterization to volume estimation and quantification of organ health parameters. These AI solutions have demonstrated their efficacy in improving diagnostic accuracy, streamlining radiological workflows, and ultimately optimizing patient care across various abdominal pathologies.</p><p><strong>Conclusion: </strong>In conclusion, the integration of AI into abdominal imaging represents a paradigm shift in modern radiology. By empowering radiologists with advanced tools for timely diagnosis, precise treatment planning, and improved patient outcomes, FDA-approved AI products herald a new era of innovation in abdominal imaging. Collaboration between developers, regulatory bodies, and the medical community will be paramount in harnessing the full potential of AI to reshape the future of abdominal radiology.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sawyer D Miller, Thomas M Pender, Jake Lallo, Jonathan Lazarow, Frances Lazarow
{"title":"Malpractice litigation in diagnostic radiology with special focus on cases in the abdomen and pelvis: A comprehensive analysis from a national legal database.","authors":"Sawyer D Miller, Thomas M Pender, Jake Lallo, Jonathan Lazarow, Frances Lazarow","doi":"10.1067/j.cpradiol.2025.04.003","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2025.04.003","url":null,"abstract":"<p><strong>Objective: </strong>Diagnostic radiology is regarded as a \"high-risk\" specialty in the medical malpractice literature. This study examines the causes and patterns and types of medical malpractice litigation and outcomes in radiology in the United States, with a particular focus on diagnostic radiology errors involving the abdomen and pelvis.</p><p><strong>Methods: </strong>Malpractice suits in which the defendant was a radiologist in the United States from 2008 to 2018 were identified using LexisAdvance, a national legal database. 2775 cases were initially identified, and 1165 cases fit the inclusion criteria.</p><p><strong>Results: </strong>Diagnostic error was the most prevalent error type, (n = 925, 82.9 %), followed by procedural errors (n = 106, 9.5 %), communication errors (66 cases, 5.9 %), and mixed/other errors (n = 19, 1.7 %). Breast was the most common imaging modality implicated in medical error (n = 211, 26.4 % of total cases), followed by CT (n = 186, 23.3 %), and XR (n = 146, 18.3 %). Out-of-court settlement was the most common outcome (n = 402, 44.5 %), followed by a verdict ruled in favor of the defendant (n = 246, 27.2 %) and case dismissal (n = 131, 14.5 %). The average award in a settlement was $1,500,690 USD (range: $25,000- $10,200,000 USD). The average award in a jury verdict for the plaintiff was $2,857,203 USD (range: $60,000- $31,490,000 USD), and the average award in arbitration for the plaintiff was $1,354,497 USD (range: $200,000- $2,800,000 USD). The gastrointestinal (GI) system and the genitourinary (GU) system accounted for 51.9 % and 25.9 % of errors in the abdomen and pelvis, respectively.</p><p><strong>Discussion: </strong>Diagnostic error was the most prevalent source of error leading to malpractice litigation. Breast imaging was the most frequently implicated imaging modality in litigations, followed closely by CT and XR. A majority of cases were resolved through out-of-court settlement or with judgments in favor of the defendant radiologists. However, in cases with trial judgments in favor of the plaintiff, average financial awards were higher than out-of-court settlements. Abdomen and pelvic involvement accounted for frequent sources of error.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144045712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Contrast enhanced mammography - revisiting structured reporting with special focus on suggested modifications.","authors":"Dr Veenu Singla, Dr Pallavi T, Dr Dollphy Garg","doi":"10.1067/j.cpradiol.2025.04.010","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2025.04.010","url":null,"abstract":"<p><p>Contrast-enhanced mammography (CEM) is an innovative breast imaging technique that combines the strengths of both mammography and MRI. It provides both morphological and functional information, making it a valuable, cost-effective alternative to MRI, especially in resource-limited settings. In this article, we explore the evolving role of CEM, beginning with a brief discussion of its indications, contraindications, and technical nuances. We have described a structured reporting format based on the ACR BI-RADS® CEM lexicon through a series of illustrative examples, to enhance the reader's familiarity with key descriptors and their clinical implications. Furthermore, we delve into the diagnostic challenges associated with CEM, offering practical guidance to the radiologist for accurate image interpretation. Finally, we propose refinements to the existing ACR BI-RADS® CEM lexicon to enhance its utility in clinical practice.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143994972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meredith H Fishleder, Maria Zulfiqar, Sadeer J Alzubaidi, Cathy L Hannafin, Martha-Gracia Knuttinen, Lisa M Ponce, Nelly Tan
{"title":"Radiology for kids: Benefits of early education and workplace volunteerism.","authors":"Meredith H Fishleder, Maria Zulfiqar, Sadeer J Alzubaidi, Cathy L Hannafin, Martha-Gracia Knuttinen, Lisa M Ponce, Nelly Tan","doi":"10.1067/j.cpradiol.2025.04.014","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2025.04.014","url":null,"abstract":"<p><strong>Objective: </strong>Physician shortages are predicted to affect all fields of health care by 2036. One potential approach to address this shortage is through outreach. We describe how a radiology department developed and hosted a volunteer-driven, immersive educational event for children.</p><p><strong>Methods: </strong>Staff volunteers were recruited though a department-wide email. Two radiologists organized the program and arranged to obtain imaging equipment for demonstrations. Other volunteers were tasked with overseeing audiovisual equipment use, facilitating workshops, ordering food, and reserving rooms. One staff member was paid to support event logistics. Before and after the event, student participants were asked to complete optional, anonymous surveys that assessed their knowledge, attitudes, and behavior toward radiology.</p><p><strong>Results: </strong>The half-day radiology educational event consisted of 2 hours of didactic lectures, followed by hands-on experiences in quality improvement, point-of-care ultrasonography, interventional radiology, and interventional oncology. Thirty-two students attended the event (median age, 14 [range, 8-17] years); 21 (66%) were children of allied health employees, and 11 (35%) were children of physicians. The pre-event survey response rate was 94%; the postevent response rate was 63%. The postevent survey showed significant increases in the proportion of students who said they \"[understood] what a radiologist does\" (from 23% to 55%; P=.01) and \"[could] name at least 3 different modalities\" (from 33% to 70%; P=.02). Students and their parents gave enthusiastic feedback after the event.</p><p><strong>Conclusion: </strong>A radiology department-sponsored educational program for young learners was well received and provided multiple volunteer and socialization opportunities for employees.</p><p><strong>Summary sentence: </strong>Department-sponsored volunteer events, such as an educational event, can meaningfully contribute to student growth and employee engagement and well-being.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144028853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scotty McKay, Arif Musa, Hassan Shaban, Ali Harb, Mohammed Twam, Alhassan Alhasson, Hassan Alfanharwi, Jacob Turner, Jared Huggins, Gulcin Altinok
{"title":"A welcoming change: Quality improvement project to improve new radiology residents' early experiences.","authors":"Scotty McKay, Arif Musa, Hassan Shaban, Ali Harb, Mohammed Twam, Alhassan Alhasson, Hassan Alfanharwi, Jacob Turner, Jared Huggins, Gulcin Altinok","doi":"10.1067/j.cpradiol.2025.04.004","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2025.04.004","url":null,"abstract":"<p><strong>Introduction: </strong>Diagnostic radiology residents often face challenges transitioning from medical school and internship to radiology residency. To address this, senior residents in our program developed a Welcoming Committee (WC) to initiate early communication with matched applicants and support incoming radiology residents as they transition.</p><p><strong>Methods: </strong>A resident-led WC was developed by senior residents to support newly matched applicants. Matched applicants were added to a messaging platform for senior residents to communicate important program updates and answer questions. During the first week of residency, WC members organized workshops to discuss topics that may benefit incoming residents. An anonymous electronic survey was sent to first-year residents, who received WC interventions, and senior residents, who transitioned to radiology residency before the establishment of the WC. Responses were scored using a Likert scale to quantify the level of agreement or disagreement. Standard statistical methods and Mann-Whitney analysis were used to compare the responses between groups.</p><p><strong>Results: </strong>First-year residents felt they understood expectations for their rotations, felt more comfortable asking questions, felt their questions were more adequately answered, and were more enthusiastic about starting rotations than senior residents, differences that were statistically significant.</p><p><strong>Conclusions: </strong>The establishment of a resident-led WC to communicate with and advise matched applicants prior to first-year rotations appeared to improve perceptions of firstyear radiology residents regarding preparation, communication, enthusiasm, rotation experiences, and comfort in asking questions. These findings underscore the potential of resident-led interventions to improve the quality of the orientation and onboarding process for first-year radiology residents.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144047009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joanna Serafin, Kara M Barnett, Todd J Liu, Nina M Maresca, Patrick J McCormick, Alan L Kotin
{"title":"Use of pre-procedure electronic questionnaire to enhance scheduling and safety in interventional radiology procedures with anesthesia care.","authors":"Joanna Serafin, Kara M Barnett, Todd J Liu, Nina M Maresca, Patrick J McCormick, Alan L Kotin","doi":"10.1067/j.cpradiol.2025.04.008","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2025.04.008","url":null,"abstract":"<p><p>The growth of interventional radiology (IR) procedures with anesthesia team care in increasingly medically complex populations points to the need for effective and efficient pre-procedure screening. We present an ongoing quality improvement project involving a brief online questionnaire disseminated to patients three to ten days before the day of their scheduled IR procedures. The questionnaire was developed by anesthesiologists and a nurse practitioner to increase pre-procedure awareness of relevant medical concerns, guide scheduling of procedures at outpatient versus inpatient locations, and improve patient pre-procedure management. The response rate after one year was 57% and indicated that at least 1 in 10 patient histories required review and discussion by the care team. The most common concerns were shortness of breath (8%), difficult airway (3%) and syncope (3%). Most procedures proceeded as scheduled, however, 18 procedures (0.4% of patients who responded), had to be rescheduled from an outpatient to the inpatient site due to medical concerns. The electronic pre-procedure screening has been feasible to implement at a busy clinical practice and has improved team communication, patient preparedness, and scheduling at appropriate locations. The team has since expanded the questionnaire to other non-operating room anesthesia procedures and added questions about opioids and glucagon-like peptide-1 receptor agonists use. Future work needs to evaluate whether the online pre-screening was associated with decreases in cancelation rates and cost savings.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144050372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Level up your radiology case conferences: Preparing residents for success in oral board examinations using gamification.","authors":"Alexander Antigua Made, Mahan Mathur","doi":"10.1067/j.cpradiol.2025.04.006","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2025.04.006","url":null,"abstract":"<p><p>The American Board of Radiology's new Diagnostic Radiology Oral Examination emphasizes clinical decision-making, communication, and critical thinking. Traditional \"hot seat\" case conferences remain a valuable way to prepare residents for these requirements. Incorporating game-based formats into these case conferences, such as \"Who Wants to Be a Millionaire?\", \"Jeopardy!\", \"Family Feud,\" and \"Kahoot!\", can make learning more dynamic and interactive. This review provides practical strategies for integrating these methods into radiology case conferences to enhance resident training and engagement.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144038672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jada Hislop, Jasmine Locklin, Chris Ho, Elizabeth A Krupinski, Charnaye R Bosley, Timothy Arleo, Nadja Kadom
{"title":"Quality improvement project: Patient-centered breast imaging letters.","authors":"Jada Hislop, Jasmine Locklin, Chris Ho, Elizabeth A Krupinski, Charnaye R Bosley, Timothy Arleo, Nadja Kadom","doi":"10.1067/j.cpradiol.2025.04.015","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2025.04.015","url":null,"abstract":"<p><strong>Purpose: </strong>Assess patient-centered revisions to our institution's screening mammography letters for BIRADS-0 and BIRADS-0 dense breast employing existing validated readability and usability rating instruments.</p><p><strong>Methods/approach: </strong>Cross-sectional analysis of two different mammography recall letters used by our institution revised to be patient-centered: the mammography recall letter (BIRADS 0) and the recall letter for patients with dense breasts (BIRADS 0-DB). During the editorial stage, we used chat GPT v3.5 and the Flesch-Kincaid grade level (FKGL). After updates to the layout and addition of visuals, the letters were rated by professional subject-matter experts (SME) for understandability and actionability using the Patient Education Materials Assessment Tool (PEMAT). The letters were then evaluated by patients for comprehensibility, utility, and design using the Consumer Information Rating Form (CIRF). Descriptive statistics were calculated for each assessment.</p><p><strong>Results: </strong>Baseline BI-RADS 0 and BI-RADS 0-DB letter FKGL levels were 11.9 and 10.7, respectively; after iterative revision the FKGL were 6.7 and 5.8, respectively. PEMAT ratings for understandability for the BI-RADS 0 recall letter improved from 41 to 90 % after the revision, and for actionability improved from 50 to 88 %. The understandability for the revised BI-RADS 0-DB letter improved from 46 to 85 % and actionability improved from 44 to 73 %. CIRF ratings indicated significant value for the added images in the BIRADS-0-DB letter.</p><p><strong>Conclusion: </strong>Use of validated and established assessment tools confirmed that our new breast imaging letters were improved in terms of readability, understandability/comprehensibility, actionability, utility, and design. The process now serves as a pipeline for future revisions to documents that our department is sharing with patients.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144000560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Olena O Weaver, Alejandro Contreras, Ethan O Cohen, Mary S Guirguis, Megha M Kapoor, Marion E Scoggins, Rosa F Hwang, Rosalind P Candelaria, Wei T Yang, Jennifer B Dennison, Jia Sun, Gary J Whitman
{"title":"Assessment of Pectoralis muscle invasion using combined DBT and contrast-enhanced mammography: Retrospective multi-reader study.","authors":"Olena O Weaver, Alejandro Contreras, Ethan O Cohen, Mary S Guirguis, Megha M Kapoor, Marion E Scoggins, Rosa F Hwang, Rosalind P Candelaria, Wei T Yang, Jennifer B Dennison, Jia Sun, Gary J Whitman","doi":"10.1067/j.cpradiol.2025.04.005","DOIUrl":"https://doi.org/10.1067/j.cpradiol.2025.04.005","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate combined digital breast tomosynthesis and contrast-enhanced mammography (DBT/CEM) for predicting pectoralis muscle invasion.</p><p><strong>Methods: </strong>This retrospective multi-reader cohort study included research patients who underwent combined DBT/CEM for breast cancer staging and had prepectoral masses. Images were independently reviewed by six fellowship-trained breast radiologists. Diagnostic performance, reader confidence, and inter-reader agreement were calculated for each image type/modality.</p><p><strong>Results: </strong>Among 10 patients with prepectoral masses on DBT/CEM, muscle invasion was present in 3 and absent in 7. The overall diagnostic accuracy of DBT/CEM for PMI was 0.6 (range 0.4-0.9); for predefined radiologic signs it was 0.5-0.7 for low energy (LE) CEM, 0.4-0.7 for DBT, and 0.4-0.8 for recombined (RC) CEM. Muscle deformity on MLO views had the highest accuracy (0.7-0.8). On a scale of 1-3, mean radiologist confidence for combined DBT/CEM was 1.9 (1.5-2.3; SD=0.65). Median confidence ranged from 1.9 for RC to 2.2 for DBT. Per-case reader agreement was poor (K=-0.01) for DBT/CEM; poor to slight (K= -0.13-0.40, median 0.28) for RC; slight to fair (K = 0.04-0.43, median 0.27 and K = 0.02-0.42, median 0.19, respectively) for DBT and LE. In two patients with subpectoral breast implants CEM was accurate in PMI detection, while MRI had one false-positive result.</p><p><strong>Conclusion: </strong>Combined DBT/CEM accuracy and inter-reader agreement are suboptimal for PMI evaluation, except in patients with breast implants. RC images marginally improve accuracy compared to LE images but have lowest radiologist confidence. DBT has lowest accuracy but highest confidence. Muscle deformity on MLO view was the most accurate sign.</p><p><strong>Critical relevance statement: </strong>Combined DBT/CEM demonstrated suboptimal diagnostic accuracy, reader confidence, and inter-reader agreement for detecting pectoralis muscle invasion (PMI) in prepectoral breast cancer (BC) except for patients with subpectoral breast implants, where recombined images on implant-displaced CEM views performed better than MRI.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143994967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}