Journal of Breast Imaging最新文献

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Imaging, Patient, and Diagnostic Radiologist Factors Associated With Malignancy for Mammographic Asymmetries Undergoing Biopsy. 接受活组织检查的乳房 X 线不对称患者的恶性肿瘤相关成像、患者和放射诊断医师因素。
IF 2
Journal of Breast Imaging Pub Date : 2025-04-01 DOI: 10.1093/jbi/wbaf008
Allyson L Chesebro, Susan C Lester, Zhou Lan, Catherine S Giess
{"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":"https://doi.org/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":""},"PeriodicalIF":2.0,"publicationDate":"2025-04-01","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}
引用次数: 0
Breast Arterial Calcifications on Mammography: A Review of the Literature.
IF 2
Journal of Breast Imaging Pub Date : 2025-03-31 DOI: 10.1093/jbi/wbaf009
Joanna Rossi, Leslie Cho, Mary S Newell, Luz A Venta, Guy H Montgomery, Stamatia V Destounis, Linda Moy, Rachel F Brem, Chirag Parghi, Laurie R Margolies
{"title":"Breast Arterial Calcifications on Mammography: A Review of the Literature.","authors":"Joanna Rossi, Leslie Cho, Mary S Newell, Luz A Venta, Guy H Montgomery, Stamatia V Destounis, Linda Moy, Rachel F Brem, Chirag Parghi, Laurie R Margolies","doi":"10.1093/jbi/wbaf009","DOIUrl":"https://doi.org/10.1093/jbi/wbaf009","url":null,"abstract":"<p><p>Identifying systemic disease with medical imaging studies may improve population health outcomes. Although the pathogenesis of peripheral arterial calcification and coronary artery calcification differ, breast arterial calcification (BAC) on mammography is associated with cardiovascular disease (CVD), a leading cause of death in women. While professional society guidelines on the reporting or management of BAC have not yet been established, and assessment and quantification methods are not yet standardized, the value of reporting BAC is being considered internationally as a possible indicator of subclinical CVD. Furthermore, artificial intelligence (AI) models are being developed to identify and quantify BAC on mammography, as well as to predict the risk of CVD. This review outlines studies evaluating the association of BAC and CVD, introduces the role of preventative cardiology in clinical management, discusses reasons to consider reporting BAC, acknowledges current knowledge gaps and barriers to assessing and reporting calcifications, and provides examples of how AI can be utilized to measure BAC and contribute to cardiovascular risk assessment. Ultimately, reporting BAC on mammography might facilitate earlier mitigation of cardiovascular risk factors in asymptomatic women.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143755013","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}
引用次数: 0
Reducing Errors in Breast Imaging: Insights From Missed and Near-Missed Cases.
IF 2
Journal of Breast Imaging Pub Date : 2025-03-20 DOI: 10.1093/jbi/wbaf005
Xiaoqin Wang, Braxton McFarland, Emily Xiao, Ryan Anderson, Laurie Fajardo
{"title":"Reducing Errors in Breast Imaging: Insights From Missed and Near-Missed Cases.","authors":"Xiaoqin Wang, Braxton McFarland, Emily Xiao, Ryan Anderson, Laurie Fajardo","doi":"10.1093/jbi/wbaf005","DOIUrl":"https://doi.org/10.1093/jbi/wbaf005","url":null,"abstract":"<p><p>Errors and misdiagnosis in breast imaging are significant concerns for breast imaging radiologists due to the negative impacts on patients and the high legal risks. Using missed and nearly missed diagnoses of breast cancer cases, this article introduces radiologists to common factors contributing to errors and misdiagnosis in breast imaging, including radiologist errors, improper imaging techniques, lesion characteristics, and work environment challenges. The article also provides practical recommendations and potential strategies to reduce these errors focusing on actions applicable to individual radiologists. Understanding the common causes of diagnostic errors in breast imaging and implementing targeted mitigating strategies can help radiologists improve diagnostic precision, reduce malpractice risk, and enhance patient care.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143664989","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}
引用次数: 0
Upgrade Rate of Exclusively MRI-Detected Papillomas in Asymptomatic Patients Undergoing Screening or Extent of Disease Examinations. 无症状患者接受筛查或疾病范围检查时mri检测乳头状瘤的升级率。
IF 2
Journal of Breast Imaging Pub Date : 2025-03-18 DOI: 10.1093/jbi/wbae080
Kathryn Watts Zamora, Ceren Yalniz, Kudratjot Brar, Yufeng Li, Stefanie Zalasin, Stefanie Woodard
{"title":"Upgrade Rate of Exclusively MRI-Detected Papillomas in Asymptomatic Patients Undergoing Screening or Extent of Disease Examinations.","authors":"Kathryn Watts Zamora, Ceren Yalniz, Kudratjot Brar, Yufeng Li, Stefanie Zalasin, Stefanie Woodard","doi":"10.1093/jbi/wbae080","DOIUrl":"10.1093/jbi/wbae080","url":null,"abstract":"<p><strong>Objective: </strong>To determine the upgrade rate of exclusively MRI-detected benign papillomas in asymptomatic high-risk patients, patients with a history of cancer, or patients with known malignancy.</p><p><strong>Methods: </strong>This IRB-approved retrospective study reviewed all breast MRI-guided biopsies yielding papilloma on pathology for all asymptomatic patients undergoing breast MRI for high-risk screening, newly diagnosed breast cancer, or a personal history of breast cancer. All cases were followed by excision or 2-year imaging follow-up. The upgrade rate was determined. Fisher's exact test was used to determine the significance of associated factors, including lesion type, lesion size, and ipsilateral malignancy.</p><p><strong>Results: </strong>Of the 258 MRI-guided biopsies, 117 met the inclusion criteria. A 4% (5/117) upgrade rate was found with a 3% (4/117) upgrade rate to ductal carcinoma in situ (DCIS) and a 1% (1/117) upgrade rate to invasive malignancy for all identified papillomas. When evaluating all papillomas, the only associated feature identified to be statically significant for risk of upgrade was ipsilateral malignancy with a 60% (3/5) upgrade rate with a P-value of .0057. When separately evaluating benign papillomas only by excluding those with atypia or additional high-risk lesion at biopsy, a 4% (3/80) upgrade rate to DCIS was found. There was no upgrade to invasive malignancy.</p><p><strong>Conclusion: </strong>Upgrade of MRI-detected papillomas in asymptomatic high-risk patients, patients with a history of cancer, or patients with known malignancy is 4% in this population, which suggests these lesions may warrant surgical excision.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"196-203"},"PeriodicalIF":2.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142847911","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}
引用次数: 0
Cystic Breast Disease: What to Do When It's Not So Cystic. 囊性乳腺疾病:当它不是那么囊性时该怎么办?
IF 2
Journal of Breast Imaging Pub Date : 2025-03-18 DOI: 10.1093/jbi/wbae079
Asha A Bhatt, Laura K Harper, Sarah Anderson, Malvika H Solanki, Dana K Ataya
{"title":"Cystic Breast Disease: What to Do When It's Not So Cystic.","authors":"Asha A Bhatt, Laura K Harper, Sarah Anderson, Malvika H Solanki, Dana K Ataya","doi":"10.1093/jbi/wbae079","DOIUrl":"10.1093/jbi/wbae079","url":null,"abstract":"<p><p>Cystic breast masses are a common entity encountered by breast radiologists. The imaging features of benign and malignant cystic masses may overlap, causing confusion and miscategorization with the potential to produce diagnostic delay and harm. This article provides a review of key differentiating imaging features that help guide appropriate mass characterization and treatment.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"233-248"},"PeriodicalIF":2.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142985009","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}
引用次数: 0
Evaluation of a Multi-Instant Multimodal Artificial Intelligence System Supporting Interpretive and Noninterpretive Functions. 评估支持释义和非释义功能的多即时多模式人工智能系统。
IF 2
Journal of Breast Imaging Pub Date : 2025-03-18 DOI: 10.1093/jbi/wbae062
Serena Pacilè, Pauline Germaine, Caroline Sclafert, Thomas Bertinotti, Pierre Fillard, Svati Singla Long
{"title":"Evaluation of a Multi-Instant Multimodal Artificial Intelligence System Supporting Interpretive and Noninterpretive Functions.","authors":"Serena Pacilè, Pauline Germaine, Caroline Sclafert, Thomas Bertinotti, Pierre Fillard, Svati Singla Long","doi":"10.1093/jbi/wbae062","DOIUrl":"10.1093/jbi/wbae062","url":null,"abstract":"<p><strong>Objective: </strong>Artificial intelligence (AI) has been shown to hold promise for improving breast cancer screening, offering advanced capabilities to enhance diagnostic accuracy and efficiency. This study aimed to evaluate the impact of a multimodal multi-instant AI-based system on the diagnostic performance of radiologists in interpreting mammograms.</p><p><strong>Methods: </strong>We designed a multireader multicase study taking into account the evaluation of both interpretive and noninterpretive tasks. The study was approved by an institutional review board and is compliant with HIPAA. The dataset included 90 cancer-proven and 150 negative cases. The overall diagnostic performance was compared between the unaided vs aided reading condition. Intraclass correlation coefficient (ICC), Fleiss's kappa, and accuracy were used to quantify the agreement and performance on noninterpretive tasks. Reading time and perceived fatigue were used as comprehensive metrics to assess the efficiency of readers.</p><p><strong>Results: </strong>The average area under the receiver operating characteristic curve increased by 7.4% (95% CI, 4.5%-10%) with the concurrent assistance of the AI system (P <.001). On average, readers found 8% more cancers in the assisted reading condition. The ICC went from 0.6 (95% CI, 0.55-0.65) in the unassisted condition to 0.74 (95% CI, 0.70-0.78) for readings done with AI (P <.001). An overall decrease of 24% in reading time and a reduction in perceived fatigue was also found.</p><p><strong>Conclusion: </strong>The incorporation of this AI system, capable of handling multiple image type, prior mammograms, and multiple outputs, improved the diagnostic proficiency of radiologists in identifying breast cancer while also reducing the time required for combined interpretive and noninterpretive tasks.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"155-164"},"PeriodicalIF":2.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142740890","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}
引用次数: 0
Time to Enhancement Measured From Ultrafast Dynamic Contrast-Enhanced MRI for Improved Breast Lesion Diagnosis.
IF 2
Journal of Breast Imaging Pub Date : 2025-03-18 DOI: 10.1093/jbi/wbae089
Yun An Chen, Anum S Kazerouni, Matthew D Phelps, Daniel S Hippe, Inyoung Youn, Janie M Lee, Savannah C Partridge, Habib Rahbar
{"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":"https://doi.org/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":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143657977","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}
引用次数: 0
Improving Wellness Through Reading Room Design and Flexible Scheduling Options.
IF 2
Journal of Breast Imaging Pub Date : 2025-03-18 DOI: 10.1093/jbi/wbae094
Hamad Muhammad, Millie Puglia, Stephanie Colvin, Stefanie Zalasin, Ceren Yalniz, Kathryn W Zamora, Stefanie Woodard
{"title":"Improving Wellness Through Reading Room Design and Flexible Scheduling Options.","authors":"Hamad Muhammad, Millie Puglia, Stephanie Colvin, Stefanie Zalasin, Ceren Yalniz, Kathryn W Zamora, Stefanie Woodard","doi":"10.1093/jbi/wbae094","DOIUrl":"10.1093/jbi/wbae094","url":null,"abstract":"<p><p>Breast radiologists have high rates of burnout. Some contributing factors include the sedentary nature of the occupation, reading room design and isolation associated with higher volumes, and increased remote interpretation. Reading rooms can also be filled with numerous distractions and produce conditions that do not support optimal workflow. Identifying and addressing these issues may help prolong physician careers and increase overall productivity. This article presents approaches to improve wellness for breast imaging radiologists and reduce the overall rate of burnout.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"214-223"},"PeriodicalIF":2.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143042403","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}
引用次数: 0
Performance of Abbreviated Breast MRI in High-Risk Patients in a Tertiary Care Academic Medical Center. 一家三级医疗学术医学中心对高危患者进行简略乳腺 MRI 检查的效果。
IF 2
Journal of Breast Imaging Pub Date : 2025-03-18 DOI: 10.1093/jbi/wbae071
Tamara Zaza, Kapil Chandora, Ceren Yalniz, Kathryn Watts Zamora, Stefanie Zalasin, Yufeng Li, Stefanie Woodard
{"title":"Performance of Abbreviated Breast MRI in High-Risk Patients in a Tertiary Care Academic Medical Center.","authors":"Tamara Zaza, Kapil Chandora, Ceren Yalniz, Kathryn Watts Zamora, Stefanie Zalasin, Yufeng Li, Stefanie Woodard","doi":"10.1093/jbi/wbae071","DOIUrl":"10.1093/jbi/wbae071","url":null,"abstract":"<p><strong>Introduction: </strong>The development of abbreviated breast MRI (AB-MRI) protocols reduce scan times. This paper reports the performance of AB-MRI at a tertiary care public academic medical center in comparison with established literature.</p><p><strong>Methods: </strong>This HIPAA-compliant IRB-approved retrospective study reviewed 413 AB-MRI screenings in high-risk patients from June 2020 to March 2023. Data were collected from 3 databases (MagView, Cerner PowerChart, and Prism Primordial). Demographics and overall BI-RADS assessment were recorded. For all positive (BI-RADS 0, 3, 4, 5) examinations, manual review of each case was performed. Performance metrics (sensitivity, specificity, cancer detection rate [CDR], recall rate, positive predictive value [PPV] 3 and negative predictive value [NPV]) were calculated. PubMed and Google Scholar were used to review similar AB-MRI studies to compare performance metrics.</p><p><strong>Results: </strong>There were 413 AB-MRI examinations from 413 unique patients. The majority of cases were audit-negative BI-RADS 1 or 2 (83.8%, 346/413). There were 67 (16.2%, 67/413) audit-positive cases with 3.6% (15/413) BI-RADS 3, 10.9% (45/413) BI-RADS 4, 0.7% (3/413) BI-RADS 5, and 1.0% (4/413) BI-RADS 0. Performance metrics showed a sensitivity of 100.0% (95% CI, 63.1%-100.0%) and a specificity of 85.7% (95% CI, 81.9%-88.9%). The PPV3 was 14.3% (95% CI, 5.1%-23.5%), and the NPV was 100.0% (95% CI, 99.0%-100.0%). The CDR was 19.4 per 1000 screenings. The results are comparable to prior literature and benchmark data.</p><p><strong>Conclusion: </strong>This study demonstrates high sensitivity (100.0%) and NPV (100.0%) of AB-MRI with comparable specificity (85.7%) and CDR (19.4/1000) to the literature, adding support to the use of AB-MRI. Further research is needed to optimize AB-MRI protocols.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"177-186"},"PeriodicalIF":2.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142629794","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}
引用次数: 0
Supplemental Screening With MRI in Women With Dense Breasts: The European Perspective. 致密性乳房女性的MRI辅助筛查:欧洲视角
IF 2
Journal of Breast Imaging Pub Date : 2025-03-18 DOI: 10.1093/jbi/wbae091
Fleur Kilburn-Toppin, Iris Allajbeu, Nuala Healy, Fiona J Gilbert
{"title":"Supplemental Screening With MRI in Women With Dense Breasts: The European Perspective.","authors":"Fleur Kilburn-Toppin, Iris Allajbeu, Nuala Healy, Fiona J Gilbert","doi":"10.1093/jbi/wbae091","DOIUrl":"10.1093/jbi/wbae091","url":null,"abstract":"<p><p>Breast cancer is the most prevalent cancer in women in Europe, and while all European countries have some form of screening for breast cancer, disparities in organization and implementation exist. Breast density is a well-established risk factor for breast cancer; however, most countries in Europe do not have recommendations in place for notification of breast density or additional supplementary imaging for women with dense breasts. Various supplemental screening modalities have been investigated in Europe, and when comparing modalities, MRI has been shown to be superior in cancer detection rate and in detecting small invasive disease that may impact long-term survival, as demonstrated in the Dense Tissue and Early Breast Neoplasm Screening (DENSE) trial in the Netherlands. Based on convincing evidence, the European Society of Breast Imaging issued recommendations that women with category D density undergo breast MRI from ages 50 to 70 years at least every 4 years and preferably every 2 to 3 years. However, currently no countries in Europe routinely offer women with BI-RADS category D density breasts MRI as supplemental imaging. The reasons for lack of implementation of MRI screening are multifactorial. Concerns regarding increased recalls have been cited, as have cost and lack of resources. However, studies have demonstrated breast MRI in women with BI-RADS category D density breasts to be cost-effective compared with the current breast cancer screening standard of biannual mammography. Furthermore, abbreviated MRI protocols could facilitate more widespread use of affordable MRI screening. Women's perception on breast density notification and supplemental imaging is key to successful implementation.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":" ","pages":"131-140"},"PeriodicalIF":2.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143013751","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}
引用次数: 0
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