Our most highly viewed articles last week included coverage of a right-to-repair bill for imaging equipment and the potential…
We scan the top radiology sources so you don’t have to.
From AI breakthroughs to imaging trends, we serve up real-time radiology insights.
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Preoperative prediction of Ki-67 expression in medullary thyroid carcinoma based on ultrasonographic features: a 10-year retrospective study
To identify ultrasonographic features that help distinguish Ki-67 expression levels in patients with medullary thyroid carcinoma (MTC).
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JACR Cybersecurity Expert Panels: Cybersecurity Imperatives in Radiology Practices
Today’s radiology systems rely heavily on interconnected electronic systems in order to deliver high-quality patient care. Security risks that interfere with access or jeopardize the integrity of any networked component can negatively impact patient care. Radiology practice is a susceptible target for cybersecurity incidents, and achieving optimal cybersecurity in this era of artificial intelligence requires strong collaboration between radiology practice and vendors. In this JACR Cybersecurity …
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Improved evaluation of patients with small clusters of microcalcifications on mammograms: Implementation of vacuum assisted excision with “cavity margins shaving” technique
Rationale and Objectives: The purpose of our study is to assess the diagnostic performance and treatment effectiveness of vacuum assisted excision (VAE) under digital breast tomosynthesis (DBT) guidance with “cavity margins shaving” technique to ensure total lesion removal in patients with ≤ 15 mm clusters of microcalcifications.
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Contrast-enhanced orbital MRI for activity assessment and treatment response prediction in thyroid eye disease
To investigate the performance of contrast-enhanced orbital MRI (T1-weighted contrast-enhanced [T1CE] and dynamic contrast-enhanced MRI [DCE-MRI]) for activity assessment and prediction of treatment response to intravenous glucocorticoid (IVGC) treatment in thyroid eye disease (TED).
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What New Research Reveals About the Impact of AI and DBT Screening: An Interview with Manisha Bahl, MD
In a recent interview, Manisha Bahl, M.D., discussed key findings from a new study on AI and digital breast tomosynthesis that she presented at the Society for Breast Imaging (SBI) conference.
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AI-assisted brain MRI shows promise for improved glioma care
An AI-based technique used to analyze brain MRI exams taken of children with gliomas shows promise for predicting recurrence.
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Are Top Cancer Centers Misleading on Screening?
Dr Bishal Gyawali’s new study reveals screening guidelines from top cancer centers often strays from gold-standard. Medscape Oncology
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Emerging AI Algorithm Shows Promise for Abbreviated Breast MRI in Multicenter Study
An artificial intelligence algorithm for dynamic contrast-enhanced breast MRI offered a 93.9 percent AUC for breast cancer detection, and a 92.3 percent sensitivity in BI-RADS 3 cases, according to new research presented at the Society for Breast Imaging (SBI) conference.