Journal of Breast Imaging最新文献

{"title":"Internal Mammary Arteriovenous Malformation Masquerading as Lymphadenopathy.","authors":"Sai Swarupa Vulasala, Smita Sharma","doi":"10.1093/jbi/wbaf081","DOIUrl":"10.1093/jbi/wbaf081","url":null,"abstract":"","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"464-466"},"PeriodicalIF":1.7,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146221007","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":"Breast MRI Physics Essentials: Signal Behavior, Suppression Approaches, and Appearance of Tissue and Implants.","authors":"Leah C Henze Bancroft, Lilian C Wang, Roberta M Strigel","doi":"10.1093/jbi/wbag024","DOIUrl":"10.1093/jbi/wbag024","url":null,"abstract":"<p><p>Breast MRI provides the highest sensitivity for breast cancer detection and is widely used for high-risk screening, assessment of disease extent, treatment monitoring, and evaluation of silicone implant integrity. Despite the central role of fat suppression and tissue-specific signal behavior in determining image quality, the underlying physics principles and mechanisms of failure for these techniques are often underrecognized in clinical practice. This review provides a practical primer on MR signal behavior in commonly used T1 and T2weighted breast MRI sequences and outlines the major techniques used to suppress or separate signals from fat, water, and silicone. We summarize the intrinsic MR properties of fibroglandular tissue, fat, saline and silicone implants, highlighting how differences in relaxation times and resonant frequencies shape image contrast. The operational principles, strengths, and limitations of subtraction, chemical shift selective suppression (CHESS) fat suppression, short tau inversion recovery (STIR), hybrid spectral inversion approaches (SPIR and SPAIR), silicone-specific STIR, and chemical shift encoded (CSE) methods are described, with emphasis on characteristic artifacts and strategies for troubleshooting. By integrating key physics concepts with practical examples, this article aims to equip breast imagers and technologists with a clearer understanding of how signal suppression techniques function, why they fail, and how to optimize MR sequence performance and image quality.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"436-451"},"PeriodicalIF":1.7,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148537394","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 for Breast Cancer Screening: A Systematic Review and Meta-Analysis.","authors":"Komal Verma Saluja, Sangeeta Saxena, Harshvardhan Khokhar, Ashok Kumar Sharma, Dharmraj Meena, Atul Sharma, Mayank Goyal","doi":"10.1093/jbi/wbag025","DOIUrl":"10.1093/jbi/wbag025","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate pathway-specific cancer detection and summarise screening outcomes (recall/biopsy/PPV3) for contrast-enhanced mammography when reported, and to compare them with those for low-energy mammography and breast MRI.</p><p><strong>Methods: </strong>This systematic review and meta-analysis followed PRISMA guidelines. PubMed (MEDLINE), Embase, Scopus, and Web of Science were searched from January 1, 2011, through August 31, 2025, for studies evaluating contrast-enhanced mammography in screening or surveillance populations (including supplemental/add-on screening and surveillance of patients with a personal history of breast cancer). Diagnostic, recall, and problem-solving studies were excluded. Screening pathways were categorized as: (1) direct comparison with low-energy mammography, (2) direct comparison with MRI, and (3) add-on CEM to mammography-based screening. Random-effects meta-analyses were performed when designs were comparable. Comparisons between CEM and MRI were summarized qualitatively because of heterogeneity and limited cancer events across studies. Single-arm screening studies were summarized descriptively. Risk of bias was assessed using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2).</p><p><strong>Results: </strong>Fourteen studies met eligibility criteria for qualitative synthesis; seven screening and surveillance studies contributed to the meta-analysis. Compared with low-energy mammography, CEM detected 9.3 additional cancers per 1,000 women screened (risk difference [RD], +9.3 per 1,000; 95% CI, 4.0-14.6; P < 0.01; I2 = 0%). Three studies directly compared CEM with MRI in screening settings and were summarized qualitatively because of heterogeneity and limited cancer events.</p><p><strong>Conclusion: </strong>In screening and surveillance populations, contrast-enhanced mammography increases cancer detection compared with low-energy mammography. Evidence from available comparative studies suggests that cancer detection with CEM may be broadly comparable to MRI in selected screening contexts; however, the limited number of studies and heterogeneous designs preclude definitive comparative conclusions. These pathway-specific estimates may inform clinical implementation and the design of prospective screening trials.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"354-365"},"PeriodicalIF":1.7,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148550767","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":"The Advantages and Disadvantages of Same-Day Breast Imaging Services: Clinical Review, Implications, and Future Directions.","authors":"Brian N Dontchos, Anand K Narayan, Lars J Grimm, Christine E Edmonds, Diana L Lam, Marissa B Lawson, Randy C Miles","doi":"10.1093/jbi/wbaf061","DOIUrl":"10.1093/jbi/wbaf061","url":null,"abstract":"<p><p>Combining patient services into fewer clinical visits has been increasingly explored across medical specialties as more attention is given to patient-centered care, patient access, and care delivery efficiency from health enterprises. The typical breast imaging care model requires multiple clinical visits to achieve a final diagnosis and, therefore, might be optimized to perform 2 or more steps in the process in 1 patient clinical visit. Recent studies suggest that this model can mitigate patient disparities in timeliness of care, improve patient satisfaction, and even improve patient adherence. Despite the potential benefits, there is variability in the use of same-day services across breast imaging facilities because of various local/institutional level barriers, staffing limitations, and concerns about interpreting examinations in real time. In this review, we describe the various same-day models that have been reported in the breast imaging literature, discuss their impact, and present evidence that may support further adoption of these care models. We also explore the barriers and limitations to this model and future directions of same-day services.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"428-435"},"PeriodicalIF":1.7,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146221044","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":"Assessing Artificial Intelligence in Breast Imaging: A Survey of Breast Radiologists' Insights on Adoption, Benefits, and Challenges.","authors":"Joseph Nenow, Omer Afifeldin Abdelrahman, Sarah Osman Sayed Osman, Sherri Couillard, Chirag Parghi, Zi Zhang","doi":"10.1093/jbi/wbaf079","DOIUrl":"10.1093/jbi/wbaf079","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate radiologists' opinions on the clinical applications of artificial intelligence (AI), especially AI-based computer-aided detection (CAD), in breast imaging.</p><p><strong>Methods: </strong>An IRB-exempt anonymous survey was distributed to Society of Breast Imaging (SBI) members on May 10, 2024, and May 20, 2024. Survey questions included practice demographics and perspectives on AI. Results were analyzed using descriptive statistics.</p><p><strong>Results: </strong>In all, 7.2% (162/2264) SBI members responded, with 69 (42.6%) respondents being in private practice and 56 (34.6%) respondents in academics. Artificial intelligence-aided CAD was used by 90 (55.6%) respondents. Reported benefits of AI-CAD included improved work efficiency (98, 71.0%), increased cancer detection (90, 65.2%), and reduced recall rates (54, 39.1%). Artificial intelligence-aided CAD was reported as being best for detecting calcifications (92, 61.7%) and architectural distortion (65, 43.6%), although the highest false-positive results were reported in postsurgical scar (104, 75.9%) and benign calcifications (95, 69.3%). Additionally, respondents reported AI tools have great impacts on workflow efficiency (109, 73.2%), patient care (98, 65.8%), reducing burnout (70, 47.0%), turnaround time (70, 47.0%), and addressing radiologist shortages (69, 46.3%). Barriers to AI adoption included cost (113, 71.5%), software integration (98, 62.0%), and lack of trust (100, 63.3%). Only 41 (27.5%) felt AI might threaten job security, and 52 (34.9%) believed it could reduce reimbursement.</p><p><strong>Conclusion: </strong>Most survey respondents believe AI enhances breast cancer detection and workflow efficiency, but false-positive results, particularly in postsurgical scar and benign calcifications, limit its diagnostic utility. Barriers such as cost, integration, and trust hinder AI adoption. Refining AI algorithms to minimize false-positive results and addressing these barriers are crucial for clinical implementation.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"376-386"},"PeriodicalIF":1.7,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272262","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":"Correction to: Prevalence of Axillary Arch Variant Anatomy on Breast MRI and Impact on Axillary Lymph Node Assessment.","authors":"","doi":"10.1093/jbi/wbag029","DOIUrl":"10.1093/jbi/wbag029","url":null,"abstract":"","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"470"},"PeriodicalIF":1.7,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148036343","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":"Congenital Unilateral Amazia on Screening Digital Breast Tomosynthesis.","authors":"Kaylie Cullison, Matthew Alfonso, Fernando Collado-Mesa","doi":"10.1093/jbi/wbag051","DOIUrl":"https://doi.org/10.1093/jbi/wbag051","url":null,"abstract":"","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148593749","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":"Inverted Compression Paddle (\"Air-Gap\") Technique for Stereotactic Biopsy of Near-Detector Calcifications in an Implant-Augmented Breast.","authors":"Aurela I Clark, Janice Abston","doi":"10.1093/jbi/wbag030","DOIUrl":"https://doi.org/10.1093/jbi/wbag030","url":null,"abstract":"","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148593816","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":"Paget Disease of the Breast: MR Imaging Findings with Clinical and Pathologic Correlation.","authors":"Anne M Schwartz, Vilert A Loving","doi":"10.1093/jbi/wbag044","DOIUrl":"https://doi.org/10.1093/jbi/wbag044","url":null,"abstract":"","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148593752","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":"Small Group Mentoring in Breast Radiology-Key Benefits of a Topic-Based Approach: A Pilot Program from the Society of Breast Imaging.","authors":"Robert J Weinfurtner, Stefanie Woodard, Kathy M Borovicka, Alison L Chetlen, Ramapriya Ganti, Jennifer Schopp, Nayanatara Swamy, Brian A Xavier, Priscilla J Slanetz, Lisa A Mullen","doi":"10.1093/jbi/wbag040","DOIUrl":"https://doi.org/10.1093/jbi/wbag040","url":null,"abstract":"<p><strong>Objective: </strong>Small, topic-based mentorship groups, an alternative to one-on-one mentoring, were piloted by the Society of Breast Imaging's (SBI) Mentorship Committee (MC). This study reports the pilot program's logistics and perceived effectiveness based on participant surveys.</p><p><strong>Methods: </strong>The MC selected six mentorship topics: Fellowship Directors, Division Chiefs, Financial Literacy, Scholarship, Early Career Faculty, and Early Career Trainees. Groups were comprised of mentees, mentors, and a facilitator from the MC. Emails to SBI membership recruited participants in July 2024. Subsequently, quarterly one-hour virtual meetings were arranged by facilitators. A final survey to assess the program was distributed August 11, 2025 to September 22, 2025. Comparisons were analyzed using unpaired t-test, with P < 0.05 considered statistically significant.</p><p><strong>Results: </strong>The pilot program involved 48 mentees, 11 mentors, and 6 facilitators. Of these, 66% (42/64) responded to the survey. Among respondents, 93% (39/42) attended at least two meetings and 64% (27/42) attended all four. When asked to rate the program on a 1-10 scale (10 = \"extremely valuable\"), the average response was 9.03 with mentees rating it higher than mentors (9.46 vs 7.53, P = 0.004). Likert scale average responses (1-5 with 5 = \"strongly agree\") were closest to \"strongly agree\" for most questions (total average 4.6/5, range 4.38-4.8). For 41% (17/41) of respondents, the program was their only current mentoring relationship. In addition, 38% (15/40) indicated that the program led them to seek additional mentoring opportunities.</p><p><strong>Conclusion: </strong>The SBI Topic-Based Small Group Mentoring pilot effectively met the needs of most respondents, supporting its establishment as a sustained program for improving mentorship within the SBI community.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148593811","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}