Journal of Breast Imaging最新文献

{"title":"Disparities in Breast Cancer Screening and Diagnosis Among Black Women: A Path Toward Equity.","authors":"Christine E Edmonds, Anne Marie McCarthy, Leisha C Elmore, Mattia A Mahmoud, Carla Zeballos Torrez, Sara P Ginzberg, Oluwadamilola M Fayanju","doi":"10.1093/jbi/wbaf014","DOIUrl":"10.1093/jbi/wbaf014","url":null,"abstract":"<p><p>Black women in the United States are diagnosed with breast cancer at younger ages and more advanced stages compared with White women. Although breast cancer mortality has declined in recent decades due to widespread screening and improved therapies, there are notable outcomes disparities by race and ethnicity. Black women, in particular, face marked inequities related to screening, diagnosis, and treatment and face 40% higher breast cancer-specific mortality compared with White women. In this article, we review the epidemiology and biology of breast cancer in Black women and discuss the impact of structural racism and biases on screening access, timeliness, and quality as well as timely diagnosis. We discuss evidence-based strategies to overcome these race-associated disparities in screening and diagnosis. Finally, we highlight persistent barriers to achieving breast cancer equity for Black women and explore future initiatives that are necessary to overcoming disparities.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"395-407"},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144691858","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":"Quantitative Changes in Breast Density and Mammographic Features Induced by Pregnancy and Lactation: A Longitudinal Study.","authors":"Noam Nissan, Jonathan Kuten, Kimberly Feigin, Jill Gluskin, Yuki Arita, Rosa Elena Ochoa Albíztegui, Hila Fruchtman-Brot, Tali Amir, Jeffrey S Reiner, Victoria L Mango, Maxine S Jochelson, Janice S Sung","doi":"10.1093/jbi/wbaf015","DOIUrl":"10.1093/jbi/wbaf015","url":null,"abstract":"<p><strong>Objective: </strong>Quantitative changes in mammographic properties during pregnancy and lactation remain underexplored. Therefore, the purpose of this study was to quantify mammographic changes in the breast from prepregnancy through lactation to postweaning at the individual level.</p><p><strong>Methods: </strong>Mammograms of 39 women at elevated risk (mean age 38.7 years) who underwent 3 sequential examinations spanning the lactation period were retrospectively analyzed. Volpara-derived mammographic properties, including breast volume, fibroglandular tissue volume, volumetric breast density, compression force, and radiation dose, were automatically extracted and were statistically compared between the periods.</p><p><strong>Results: </strong>Significant longitudinal changes in breast tissue were observed. During lactation, breast volume increased by 45%, fibroglandular tissue volume increased by 138.5%, and volumetric breast density increased by 53.2% compared with prepregnancy levels (P <.001 for all). After weaning, these values decreased by 23.3%, 52.8%, and 27.3%, respectively, compared with lactation (P <.001 for all). Breast compression was decreased by 22.3% on average during lactation compared with prepregnancy (P <.001), while it was not different between lactation and postweaning (P = .11). The radiation dose during lactation increased by 20% compared with both prepregnancy (P = .004) and postweaning (P = .005).</p><p><strong>Conclusion: </strong>The temporal changes in mammographic properties from prepregnancy to lactation include significant increases in breast volume, fibroglandular tissue volume, breast density, and radiation dose, along with a decrease in compression force. While these changes reverse from lactation to postweaning, they generally do not return to prepregnancy levels.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"429-436"},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12403220/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144053621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"2024-2025 Editor's Recognition Awards.","authors":"Michael A Cohen","doi":"10.1093/jbi/wbaf034","DOIUrl":"https://doi.org/10.1093/jbi/wbaf034","url":null,"abstract":"","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":"7 4","pages":"385"},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144973283","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":"Recent Trends in Breast Cancer Mortality Rates for U.S. Women by Age and Race/Ethnicity.","authors":"Debra L Monticciolo, R Edward Hendrick","doi":"10.1093/jbi/wbaf007","DOIUrl":"10.1093/jbi/wbaf007","url":null,"abstract":"<p><strong>Objective: </strong>To analyze recent trends in U.S. breast cancer mortality rates by age group and race and ethnicity.</p><p><strong>Methods: </strong>This retrospective analysis of female breast cancer mortality rates used National Center for Health Statistics data from 1990 to 2022 for all women, by age group, and by race or ethnicity. Joinpoint analysis assessed trends in breast cancer mortality rates.</p><p><strong>Results: </strong>Breast cancer mortality rates for women 20 to 39 years old decreased 2.8% per year from 1999 to 2010 but showed no decline from 2010 to 2022 (annual percentage change [APC], -0.01; P = .98). For women of ages 40 to 74 years, breast cancer mortality rates decreased 1.7% to 3.9% per year from 1990 to 2022 (P <.001); a decline was found for all cohorts in this age group except Asian women. For women ≥75 years of age, breast cancer mortality rates declined significantly from 1993 to 2013 (APC, -1.26; P = .01) but showed no evidence of decline from 2013 to 2022 (APC, -0.2; P = .24). Across all ages, breast cancer mortality rates declined for White and Black women but not for Asian, Hispanic, and Native American women. Asian women ≥75 years of age had significantly increasing mortality rates (APC, 0.73; P <.001). For 2004 to 2022, breast cancer mortality rates were 39% higher in Black women than White women and varied strongly by age group: 104% for ages 20 to 39 years, 51% for ages 40 to 74 years, and 13% for ages ≥75 years.</p><p><strong>Conclusion: </strong>Female breast cancer mortality rates have stopped declining in women <40 years of age and >74 years of age. The higher mortality rates in Black women compared with White women are age dependent and substantially higher in younger women.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"420-428"},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143574308","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":"Ovarian Cancer Metastasis to the Breast: Radiologic-Pathologic Correlation.","authors":"Zoe O Ferguson-Steele, Mark R Kilgore, Diana L Lam","doi":"10.1093/jbi/wbaf029","DOIUrl":"10.1093/jbi/wbaf029","url":null,"abstract":"<p><p>Ovarian metastasis to the breast is extremely rare. The clinical and radiologic presentation of metastasis to the breast is nonspecific and can mimic primary breast cancers. The most common mammographic findings of ovarian metastasis are superficial, circumscribed, high-density masses without architectural distortion. Compared with other malignancies that metastasize to the breast, ovarian cancer can more frequently show microcalcifications. On US, these masses can be hypoechoic or have heterogeneous echogenicity with posterior acoustic enhancement. Less commonly, ovarian metastasis can present similarly to inflammatory breast cancer, demonstrating diffuse skin thickening on mammography and US. Immunohistochemistry is useful in differentiating ovarian metastasis from primary breast lesions. Ovarian and breast markers, including Wilm's tumor, paired box 8, cancer antigen 125, GATA binding protein 3, and gross cystic disease fluid protein 15, are particularly helpful. Overall, metastatic ovarian cancer to the breast provides a diagnostic challenge requiring close radiologic and pathologic correlation to reach the correct diagnosis.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"463-473"},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144733745","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":"Correcting Decades of Misinformation About Breast Cancer Screening: An Open Letter to Women and Those Who Advise Them About Screening for Breast Cancer.","authors":"Daniel B Kopans","doi":"10.1093/jbi/wbaf030","DOIUrl":"10.1093/jbi/wbaf030","url":null,"abstract":"","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"386-394"},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144733734","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":"Time to Enhancement Measured From Ultrafast Dynamic Contrast-Enhanced MRI for Improved Breast Lesion Diagnosis.","authors":"Yun An Chen, Anum S Kazerouni, Matthew D Phelps, Daniel S Hippe, Inyoung Youn, Janie M Lee, Savannah C Partridge, Habib Rahbar","doi":"10.1093/jbi/wbae089","DOIUrl":"10.1093/jbi/wbae089","url":null,"abstract":"<p><strong>Objective: </strong>Breast MRI affords high sensitivity with intermediate specificity for cancer detection. Ultrafast dynamic contrast-enhanced (DCE) MRI assesses early contrast inflow with potential to supplement or replace conventional DCE-MRI kinetic features. We sought to determine whether radiologist's evaluation of ultrafast DCE-MRI can increase specificity of a clinical MRI protocol.</p><p><strong>Methods: </strong>In this IRB-approved, HIPAA-compliant study, breast MRIs from March 2019 to August 2020 with a BI-RADS category 3, 4, or 5 lesion were identified. Ultrafast DCE-MRI was acquired during the first 40 seconds after contrast injection and before conventional DCE-MRI postcontrast acquisitions in the clinical breast MRI protocol. Three radiologists masked to outcomes retrospectively determined lesion time to enhancement (TTE) on ultrafast DCE-MRI. Interreader agreement, differences between benign and malignant lesion TTE, and TTE diagnostic performance were evaluated.</p><p><strong>Results: </strong>Ninety-five lesions (20 malignant, 75 benign) were included. Interreader agreement in TTE was moderate to substantial for both ultrafast source images and subtraction maximum intensity projections (overall κ = 0.63). Time to enhancement was greater across benign lesions compared with malignancies (P <.05), and all lesions demonstrating no enhancement during the ultrafast series were benign. With a threshold TTE ≥40 seconds, ultrafast DCE-MRI yielded an average 40% specificity (95% CI, 30%-48%) and 92% sensitivity (95% CI, 81%-100%), yielding a potential reduction in 31% (95% CI, 23%-39%) of benign follow-ups based on conventional DCE-MRI.</p><p><strong>Conclusion: </strong>Ultrafast imaging can be added to conventional DCE-MRI to increase diagnostic accuracy while adding minimal scan time. Future work to standardize evaluation criteria may improve interreader agreement and allow for more robust ultrafast DCE-MRI assessment.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"453-462"},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12403217/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143657977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging Evaluation and Management of Breast Symptoms in the Pediatric Population.","authors":"Abigail S Johnson, Teresa Chapman, Ting Y Tao, Amy M Fowler","doi":"10.1093/jbi/wbaf006","DOIUrl":"10.1093/jbi/wbaf006","url":null,"abstract":"<p><p>The clinical approach, differential diagnosis, diagnostic imaging, and management of breast masses differs between adult and pediatric patients. Breast symptoms in pediatric populations are likely to be normal, variants of normal development, or classically benign. When evaluating pediatric patients, a thorough history and physical examination is key and may include US imaging if clinically indicated. Currently, there are no consensus guidelines from professional societies specific to the imaging evaluation, reporting, or management of the pediatric breast. Inappropriate utilization of additional imaging or biopsy recommendations can cause stress to patients and caregivers, added financial costs, and potential damage to the developing breast. As such, it is increasingly important for radiologists to have a clear understanding of the expected physical and imaging findings for developing breast tissue, developmental abnormalities, benign conditions, and rare malignancies. This review summarizes the expected normal developmental breast changes in the pediatric population as well as common anatomic variants. Both benign and rare malignant breast pathologies are reviewed with a discussion about clinical presentation and management to guide breast imaging trainees and practicing radiologists.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"492-506"},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12403221/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144037395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging, Patient, and Diagnostic Radiologist Factors Associated With Malignancy for Mammographic Asymmetries Undergoing Biopsy.","authors":"Allyson L Chesebro, Susan C Lester, Zhou Lan, Catherine S Giess","doi":"10.1093/jbi/wbaf008","DOIUrl":"10.1093/jbi/wbaf008","url":null,"abstract":"<p><strong>Objective: </strong>To identify imaging, patient, and radiologist factors associated with malignant pathology for mammographic asymmetries referred for image-guided biopsy.</p><p><strong>Methods: </strong>This is an IRB-approved study of consecutive image-guided core-needle biopsy reports from an academic center and affiliated imaging centers January 1, 2015 to June 30, 2022 with lesion type reported by biopsy radiologist as \"asymmetry\" on biopsy requisition form retrieved from the pathology database. Imaging features (asymmetry type, associated mammographic features, US correlate, lesion size) and patient demographics (age at biopsy, breast density, family or personal history of breast cancer) were extracted from imaging reports and electronic health record. Cases were excluded if the diagnostic or biopsy radiologist reported the lesion other than \"asymmetry\" or if imaging review identified the finding as predominantly mass or architectural distortion. Multiple logistic regression was performed to calculate the odds ratio (OR) of malignant outcome.</p><p><strong>Results: </strong>Image-guided core-needle biopsy was requested of 326 asymmetries; 79 were excluded, yielding 247 asymmetries (9 asymmetry, 218 developing asymmetry, 20 focal asymmetry). Overall, 40/247 (16.2%) were malignant and 207/247 (83.8%) were benign. Presence of associated distortion (OR 14.78; 95% CI, 4.87-44.83; P <.001) or calcifications (OR 9.86; 95% CI, 2.74-35.53; P <.001), personal history of breast cancer (OR 2.65; 95% CI, 1.04-6.77; P = .041), and increasing patient age at biopsy (OR 1.08; 95% CI, 1.04-1.12; P <.001) were associated with likelihood of malignancy.</p><p><strong>Conclusion: </strong>Malignancy of mammographic asymmetries is more likely in the presence of associated distortion or calcifications, personal history of breast cancer, and increasing patient age. These results may be useful in diagnostic management of mammographic asymmetries.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"437-444"},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764736","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":"Bias in Artificial Intelligence: Impact on Breast Imaging.","authors":"Jose M Net, Fernando Collado-Mesa","doi":"10.1093/jbi/wbaf027","DOIUrl":"10.1093/jbi/wbaf027","url":null,"abstract":"<p><p>Artificial intelligence (AI) in breast imaging has garnered significant attention given the numerous reports of improved efficiency, accuracy, and the potential to bridge the gap of expanded volume in the face of limited physician resources. While AI models are developed with specific data points, on specific equipment, and in specific populations, the real-world clinical environment is dynamic, and patient populations are diverse, which can impact generalizability and widespread adoption of AI in clinical practice. Implementation of AI models into clinical practice requires focused attention on the potential of AI bias impacting outcomes. The following review presents the concept, sources, and types of AI bias to be considered when implementing AI models and offers suggestions on strategies to mitigate AI bias in practice.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"408-419"},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144188215","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}