Jennifer A Harvey
Jennifer A Harvey
Holly Marshall,Lauren Burkard-Mandel,Jerry Hsu et al.
Holly Marshall et al.
Objective: The aim of this study was to retrospectively evaluate and present our two-year experience with abbreviated breast MRI at our academic institution as a screening tool to identify primary breast cancers. ...
Assessment, Complications, and Surveillance of Breast Implants: Making Sense of 2022 FDA Breast Implant Guidance [0.03%]
乳房植入物的评估、并发症和监测：解读2022年FDA乳房植入指南
Huong T Le-Petross,Marion E Scoggins,Mark W Clemens
Huong T Le-Petross
As more information about the potential risks and complications related to breast implants has become available, the United States Food and Drug Administration (FDA) has responded by implementing changes to improve patient education, recall...
Circumscribed Masses on Breast MRI: Can MRI Features Guide Management? [0.03%]
乳腺MRI上的环状病灶：MRI特征能指导治疗吗？
Kelly S Myers,Erica Shey,Emily B Ambinder et al.
Kelly S Myers et al.
Objective: Management of circumscribed breast masses seen on MRI is largely extrapolated from mammography and US data with limited MRI-specific data available. This study aimed to assess clinical and MRI imaging features ...
Lars J Grimm
Lars J Grimm
Use of Artificial Intelligence for Digital Breast Tomosynthesis Screening: A Preliminary Real-world Experience [0.03%]
人工智能在数字乳腺断层成像筛查中的应用：初步的实际经验
Haley Letter,Meridith Peratikos,Alicia Toledano et al.
Haley Letter et al.
Objective: The purpose of this study is to assess the "real-world" impact of an artificial intelligence (AI) tool designed to detect breast cancer in digital breast tomosynthesis (DBT) screening exams following 12 months ...
Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload [0.03%]
人工智能作为乳腺筛查中的辅助阅片者：一种保持质量和减少工作量的新流程
Annie Y Ng,Ben Glocker,Cary Oberije et al.
Annie Y Ng et al.
Objective: To evaluate the effectiveness of a new strategy for using artificial intelligence (AI) as supporting reader for the detection of breast cancer in mammography-based double reading screening practice. ...
Artificial Intelligence in Breast Imaging: Challenges of Integration Into Clinical Practice [0.03%]
乳腺影像学中的人工智能：整合到临床实践中面临的挑战
B Bersu Ozcan,Bhavika K Patel,Imon Banerjee et al.
B Bersu Ozcan et al.
Artificial intelligence (AI) in breast imaging is a rapidly developing field with promising results. Despite the large number of recent publications in this field, unanswered questions have led to limited implementation of AI into daily cli...
Attitudes of Practicing Radiologists Toward the Management of Palpable Circumscribed Breast Masses [0.03%]
执业放射科医生对可触及的局限性乳腺肿块管理的态度
Zahra Mahboubi-Fooladi,Marjaan Sabahi,Seyed Amin Astani et al.
Zahra Mahboubi-Fooladi et al.
Objective: To investigate the attitudes of radiologists toward palpable breast masses with benign features on US and to determine the factors influencing their decision. ...
Katherine A Smith,Katie N Hunt,Gaiane M Rauch et al.
Katherine A Smith et al.
Early detection of breast cancer through screening mammography saves lives. However, the sensitivity of mammography for breast cancer detection is reduced in women with dense breast tissue. Imaging modalities for supplemental breast cancer ...