Andrew J Winkelman, Kassandra Tulenko, Samantha H Epstein, Jonathan V Nguyen, Clay Ford, Matthew M Miller
{"title":"Breast Cancer Screening With Automated Breast US and Mammography vs Handheld US and Mammography in Women With Dense Breasts in a Real-World Clinical Setting.","authors":"Andrew J Winkelman, Kassandra Tulenko, Samantha H Epstein, Jonathan V Nguyen, Clay Ford, Matthew M Miller","doi":"10.1093/jbi/wbae039","DOIUrl":"10.1093/jbi/wbae039","url":null,"abstract":"<p><strong>Objective: </strong>We compared the performance of 2 breast cancer screening approaches, automated breast US (ABUS) with same-day mammography (ABUS/MG) and handheld US (HHUS) with same-day mammography (HHUS/MG), in women with dense breasts to better understand the relative usefulness of ABUS and HHUS in a real-world clinical setting.</p><p><strong>Methods: </strong>In this institutional review board-approved, retrospective observational study, we evaluated all ABUS/MG and HHUS/MG screening examinations performed at our institution from May 2013 to September 2021. BI-RADS categories, biopsy pathology results, and diagnostic test characteristics (eg, sensitivity, specificity) were compared between the 2 screening approaches using Fisher's exact test.</p><p><strong>Results: </strong>A total of 1120 women with dense breasts were included in this study, with 852 undergoing ABUS/MG and 268 undergoing HHUS/MG. The sensitivities of ABUS/MG and HHUS/MG were 100% (5/5) and 75.0% (3/4), respectively, which was not a statistically significant difference (P = .444). The ABUS/MG approach demonstrated a slightly higher specificity (97.4% [825/847] vs 94.3% [249/264]; P = .028), higher accuracy (97.4% [830/852] vs 94.0% [252/268]; P = .011), and lower biopsy recommendation rate (3.2% [27/852] vs 6.7% [18/268]; P = .019) than the HHUS/MG approach in our patient population.</p><p><strong>Conclusion: </strong>Our findings suggest that ABUS/MG performs comparably with HHUS/MG as a breast cancer screening approach in women with dense breasts in a real-world clinical setting, with the ABUS/MG approach demonstrating a similar sensitivity and slightly higher specificity than the HHUS/MG approach. Additional variables, such as patient experience and physician time, may help determine which imaging approach to employ in specific clinical settings.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141735335","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":"Posttraumatic Breast Hemorrhage With the Development of Fat Necrosis.","authors":"William Johnson, Cherie Kuzmiak","doi":"10.1093/jbi/wbad086","DOIUrl":"https://doi.org/10.1093/jbi/wbad086","url":null,"abstract":"","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142477145","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":"Dedicated Breast CT: Getting Ready for Prime Time.","authors":"Shadi Aminololama-Shakeri, John M Boone","doi":"10.1093/jbi/wbae043","DOIUrl":"10.1093/jbi/wbae043","url":null,"abstract":"<p><p>Dedicated breast CT is an imaging modality that provides true 3D imaging of the breast with many advantages over current conventional breast imaging modalities. The addition of intravascular contrast increases the sensitivity of breast CT substantially. As such, there are immediate potential applications in the clinical workflow. These include using breast CT to replace much of the traditional diagnostic workup when faced with indeterminate breast lesions. Contrast-enhanced breast CT may be appropriate as a supplemental screening tool for women at high risk of breast cancer, similar to breast MRI. In addition, emerging studies are demonstrating the utility of breast CT in neoadjuvant chemotherapy tumor response monitoring as well as planning for surgical treatment options. While short exam times and fully 3D imaging in a noncompressed position are advantages of this modality, limited coverage of chest wall/axilla due to prone positioning and use of ionizing radiation are drawbacks. To date, several studies have reported on the performance characteristics of this promising modality.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142113168","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}
Daniel Mannina, Ameya Kulkarni, Christian B van der Pol, Reem Al Mazroui, Peri Abdullah, Sayali Joshi, Abdullah Alabousi
{"title":"Utilization of Texture Analysis in Differentiating Benign and Malignant Breast Masses: Comparison of Grayscale Ultrasound, Shear Wave Elastography, and Radiomic Features.","authors":"Daniel Mannina, Ameya Kulkarni, Christian B van der Pol, Reem Al Mazroui, Peri Abdullah, Sayali Joshi, Abdullah Alabousi","doi":"10.1093/jbi/wbae037","DOIUrl":"10.1093/jbi/wbae037","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to determine which qualitative and quantitative US features are independently associated with malignancy, including those derived from grayscale imaging morphology, shear wave elastography (SWE), and texture analysis.</p><p><strong>Methods: </strong>This single-center retrospective study was approved by the institutional research ethics board. Consecutive breast US studies performed between January and December 2020 were included. Images were acquired using a Canon Aplio i800 US unit (Canon Medical Systems, Inc., CA) and i18LX5 wideband linear matrix transducer. Grayscale US features, SWE mean, and median elasticity were obtained. Single representative grayscale images were analyzed using dedicated software (LIFEx, version 6.30). First-order and gray-level co-occurrence matrix second-order texture features were extracted. Multivariate logistic regression was performed to assess for predictors of malignancy (STATA v16.1).</p><p><strong>Results: </strong>One hundred forty-seven cases with complete SWE data were selected for analysis (mean age 54.3, range 21-92). The following variables were found to be independently associated with malignancy: age (P <.001), family history (P = .013), irregular mass shape (P = .024), and stiffness on SWE (mean SWE ≥40 kPa; P <.001). Remaining variables (including texture features) were not found to be independently associated with malignancy (P >.05).</p><p><strong>Conclusion: </strong>US texture analysis features were not associated with malignancy independent of other qualitative and quantitative US characteristics currently utilized in clinical practice. This suggests texture analysis may not be warranted when differentiating benign and malignant breast masses on US. In contrast, irregular mass shape on grayscale imaging and increased stiffness on SWE were found to be independent predictors of malignancy.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141724669","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":"Imaging Features and World Health Organization Classification of Rare Breast Tumors.","authors":"Denas Andrijauskis, Liva Andrejeva-Wright","doi":"10.1093/jbi/wbae047","DOIUrl":"10.1093/jbi/wbae047","url":null,"abstract":"<p><p>Breast radiologists encounter unusual lesions, which may not be well described in the literature. Previously based on histologic and molecular classifications, the World Health Organization (WHO) classification of tumors has become increasingly multidisciplinary. Familiarity with imaging features and basic pathology of infrequent breast lesions, as well as their current classification according to the WHO, may help the radiologist evaluate biopsy results for concordance and help direct the management of uncommon breast lesions. This review article provides a case-based review of imaging features and WHO histologic classification of rare breast tumors.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142126895","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}
Alysha Dhami, Cooper D Rutland, Arash Momeni, Uzma Waheed
{"title":"Acellular Dermal Matrix: Imaging Features With Histopathology Correlation.","authors":"Alysha Dhami, Cooper D Rutland, Arash Momeni, Uzma Waheed","doi":"10.1093/jbi/wbae054","DOIUrl":"https://doi.org/10.1093/jbi/wbae054","url":null,"abstract":"<p><p>Acellular dermal matrix (ADM) is an immunologically inert graft, typically from cadaveric skin, often used in postmastectomy breast reconstruction. Created from decellularized dermal tissues that have been treated to remove DNA and antigenic donor cells (leaving extracellular matrix), ADM is often used as a structural scaffold or sling to reinforce and support the structure and position of a breast implant during postoperative integration in implant-based breast reconstruction; ADM can also be used to fill cosmetic defects. Advantages of ADM use include improved cosmesis and reduced capsular contracture rates. On US, ADM can be seen as a subtle band with variable echogenicity adjacent to the implant. When folded on itself or redundant, ADM may present as a palpable oval mass with indistinct or circumscribed margins and variable echogenicity. On mammography, ADM can be seen as a circumscribed oval equal density mass when redundant and folded on itself; a layered appearance may be evident on tomosynthesis. On MRI, presence and absence of enhancement have been documented. Imaging findings likely vary depending on the degree of host tissue remodeling and incorporation, and when biopsied, histopathologically, ADM may be difficult to distinguish from scarring. Successful imaging diagnosis of ADM is aided by clinical knowledge of the intraoperative use and configuration of ADM, which may help differentiate ADM from new or recurrent malignancy and avoid unnecessary biopsy.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142156255","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}
Alyssa T Watanabe, Hoanh Vu, Chi Y Chim, Andrew W Litt, Tara Retson, Ray C Mayo
{"title":"Potential Impact of an Artificial Intelligence-based Mammography Triage Algorithm on Performance and Workload in a Population-based Screening Sample.","authors":"Alyssa T Watanabe, Hoanh Vu, Chi Y Chim, Andrew W Litt, Tara Retson, Ray C Mayo","doi":"10.1093/jbi/wbae056","DOIUrl":"https://doi.org/10.1093/jbi/wbae056","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate potential screening mammography performance and workload impact using a commercial artificial intelligence (AI)-based triage device in a population-based screening sample.</p><p><strong>Methods: </strong>In this retrospective study, a sample of 2129 women who underwent screening mammograms were evaluated. The performance of a commercial AI-based triage device was compared with radiologists' reports, actual outcomes, and national benchmarks using commonly used mammography metrics. Up to 5 years of follow-up examination results were evaluated in cases to establish benignity. The algorithm sorted cases into groups of \"suspicious\" and \"low suspicion.\" A theoretical workload reduction was calculated by subtracting cases triaged as \"low suspicion\" from the sample.</p><p><strong>Results: </strong>At the default 93% sensitivity setting, there was significant improvement (P <.05) in the following triage simulation mean performance measures compared with actual outcome: 45.5% improvement in recall rate (13.4% to 7.3%; 95% CI, 6.2-8.3), 119% improvement in positive predictive value (PPV) 1 (5.3% to 11.6%; 95% CI, 9.96-13.4), 28.5% improvement in PPV2 (24.6% to 31.6%; 95% CI, 24.8-39.1), 20% improvement in sensitivity (83.3% to 100%; 95% CI, 100-100), and 7.2% improvement in specificity (87.2% to 93.5%; 95% CI, 92.4-94.5). A theoretical 62.5% workload reduction was possible. At the ultrahigh 99% sensitivity setting, a theoretical 27% workload reduction was possible. No cancers were missed by the algorithm at either sensitivity.</p><p><strong>Conclusion: </strong>Artificial intelligence-based triage in this simulation demonstrated potential for significant improvement in mammography performance and predicted substantial theoretical workload reduction without any missed cancers.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142156257","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}
Joshua Gaudette, Sai Kilaru, Alexis Davenport, Sushil Hanumolu, David Pinkney, Sabala Mandava, Amy Williams, Xiaoqin Amy Tang
{"title":"Patient- vs Technologist-Controlled Mammography Compression: A Prospective Comparative Study of Patient Discomfort and Breast Compression Thickness.","authors":"Joshua Gaudette, Sai Kilaru, Alexis Davenport, Sushil Hanumolu, David Pinkney, Sabala Mandava, Amy Williams, Xiaoqin Amy Tang","doi":"10.1093/jbi/wbae052","DOIUrl":"https://doi.org/10.1093/jbi/wbae052","url":null,"abstract":"<p><strong>Objective: </strong>We assess whether mammographic patient-assisted compression (PAC) has an impact on breast compression thickness and patient discomfort compared with technologist-assisted compression (TAC).</p><p><strong>Methods: </strong>A total of 382 female patients between ages 40 and 90 years undergoing screening mammography from February 2020 to June 2021 were recruited via informational pamphlet to participate in this IRB-approved study. Patients without prior baseline mammograms were excluded. The participating patients were randomly assigned to the PAC or TAC study group. Pre- and postmammogram surveys assessed expected pain and experienced pain, respectively, using a 100-mm visual analogue scale and the State-Trait Anxiety Inventory. Breast compression thickness values from the most recent mammogram were compared with the patient's recent prior mammogram.</p><p><strong>Results: </strong>Between the 2 groups, there was no significant difference between the expected level of pain prior to the mammogram (P = .97). While both study groups reported a lower level of experienced pain than was expected, the difference was greater for the PAC group (P <.0001). Additionally, the PAC group reported significantly lower experienced pain during mammography compared with the TAC group (P = .014). The correlation of trait/state anxiety scores with pre- and postmammogram pain scores was weak among the groups. Lastly, the mean breast compression thickness values for standard screening mammographic views showed no significant difference in the PAC group when compared with the patient's prior mammogram.</p><p><strong>Conclusion: </strong>Involving patients in compression reduces their pain independent of the patient's state anxiety during mammography while having no effect on breast compression thickness. Implementing PAC could improve the mammography experience.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141339","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}
Lucien Rizzo, Linda Hovanessian-Larsen, Mary Yamashita, Xiaomeng Lei, Steven Cen, Jennifer Choi, Tiffany Lee, Sandy Lee
{"title":"Idiopathic Granulomatous Mastitis: Imaging Findings and Outcomes with Nonsteroidal Treatment in a Predominantly Hispanic Population.","authors":"Lucien Rizzo, Linda Hovanessian-Larsen, Mary Yamashita, Xiaomeng Lei, Steven Cen, Jennifer Choi, Tiffany Lee, Sandy Lee","doi":"10.1093/jbi/wbae051","DOIUrl":"https://doi.org/10.1093/jbi/wbae051","url":null,"abstract":"<p><strong>Objective: </strong>We describe the demographics, clinical presentation, imaging findings, and treatment response among 235 cases of biopsy-proven idiopathic granulomatous mastitis (IGM) at a single institution.</p><p><strong>Methods: </strong>An institutional review board-approved retrospective search of the breast imaging database was performed to select patients with biopsy-proven IGM between 2017 and 2022. Retrospective review evaluated clinical presentation, imaging findings with US and mammography, and treatment recommendations (antibiotics, nonsteroidal anti-inflammatory drugs [NSAIDs], warm compresses, or observation only). Response to treatment was evaluated on follow-up US. A favorable treatment response was a decrease in size or resolution of disease on follow-up imaging. Statistical analysis using Poisson regression was performed to evaluate the clinical outcomes associated with each treatment.</p><p><strong>Results: </strong>A total of 235 patients met the selection criteria with a mean age of 38 years (18 to 68). The majority of patients were Hispanic (95%, 223/235). Of all patients, 75.3% (177/235) received treatment (consisting of 1 or any combination of antibiotics, NSAIDs, warm compresses), 24.7% (58/235) were treated with observation, 78.7% (185/235) returned for follow-up imaging, and 21.3% (50/235) were lost to follow-up. Of those with follow-up imaging, disease improvement was seen in 70.3% (102/145) of patients who received treatment compared with 72.5% (29/40) of patients treated by observation alone. Multivariate analysis further showed no difference in clinical outcomes among the treatment of unifocal, multifocal, or recurrent IGM.</p><p><strong>Conclusion: </strong>Nonsteroidal treatment of IGM showed no significant improvement on follow-up imaging compared to treatment with observation alone in a predominantly Hispanic patient population.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142126894","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}
Samantha J Smith, Sally Anne Bradley, Katie Walker-Stabeler, Michael Siafakas
{"title":"A Prospective Analysis of Screen-Detected Cancers Recalled and Not Recalled by Artificial Intelligence.","authors":"Samantha J Smith, Sally Anne Bradley, Katie Walker-Stabeler, Michael Siafakas","doi":"10.1093/jbi/wbae027","DOIUrl":"10.1093/jbi/wbae027","url":null,"abstract":"<p><strong>Objective: </strong>The use of artificial intelligence has potential in assisting many aspects of imaging interpretation. We undertook a prospective service evaluation from March to October 2022 of Mammography Intelligent Assessment (MIA) operating \"silently\" within our Breast Screening Service, with a view to establishing its performance in the local population and setting. This evaluation addressed the performance of standalone MIA vs conventional double human reading of mammograms.</p><p><strong>Methods: </strong>MIA analyzed 8779 screening events over an 8-month period. The MIA outcome did not influence the decisions made on the clinical pathway. Cases were reviewed approximately 6 weeks after the screen reading decision when human reading and/or MIA indicated a recall.</p><p><strong>Results: </strong>There were 146 women with positive concordance between human reading and MIA (human reader and MIA recalled) in whom 58 breast cancers were detected. There were 270 women with negative discordance (MIA no recall, human reader recall) for whom 19 breast cancers and 1 breast lymphoma were detected, with 1 cancer being an incidental finding at assessment. Six hundred and four women had positive discordance (MIA recall, human reader no recall) in whom 2 breast cancers were detected at review. The breast cancers demonstrated a wide spectrum of mammographic features, sites, sizes, and pathologies, with no statistically significant difference in features between the negative discordant and positive concordant cases.</p><p><strong>Conclusion: </strong>Of 79 breast cancers identified by human readers, 18 were not identified by MIA, and these had no specific features or site to suggest a systematic error for MIA analysis of 2D screening mammograms.</p>","PeriodicalId":43134,"journal":{"name":"Journal of Breast Imaging","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141157168","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}