Accelerated Diffusion-Weighted Magnetic Resonance Imaging of the Liver at 1.5 T With Deep Learning-Based Image Reconstruction: Impact on Image Quality and Lesion Detection.

Objective: To perform image quality comparison between deep learning-based multiband diffusion-weighted sequence (DL-mb-DWI), accelerated multiband diffusion-weighted sequence (accelerated mb-DWI), and conventional multiband diffusion-weighted sequence (conventional mb-DWI) in patients undergoing clinical liver magnetic resonance imaging (MRI).

Methods: Fifty consecutive patients who underwent clinical MRI of the liver at a 1.5-T scanner, between September 1, 2021, and January 31, 2022, were included in this study.

Radiologic-Pathologic Discordance and Outcome After MRI-Guided Vacuum-Assisted Biopsy.

Objective: The purpose of this study was to determine the rate, characteristics, and outcomes of discordant MRI-guided vacuum-assisted biopsy (VAB) in women with suspected breast cancer.

Materials And Methods: This retrospective study reviewed 1314 MRI-guided VABs performed in 1211 women between 2007 and 2013 and yielded 25 discordant results in 24 women. MRI characteristics; BI-RADS assessments; whether the lesion was missed, partially sampled, or excised at biopsy; and biopsy and surgical pathology results were reviewed.

Frequency of Discordant Lesions and False-negative Cancers at Stereotactic Vacuum-assisted Biopsy.

Rationale And Objectives: This study aimed to determine frequency of discordant lesions and discordant false-negative cancers at stereotactic vacuum-assisted biopsy (SVAB).

Materials And Methods: Institutional database was searched for discordant SVAB results between January 1, 2005 and December 31, 2012, in this retrospective institutional review board-approved Health Insurance Portability and Accountability Act-compliant study. Patient age, indication for initial mammogram, breast density, lesion size, Breast Imaging Reporting and Data System categorization, operator experience, biopsy needle gauge, biopsy histology, and final surgical histology of discordant lesions were collected and entered into a Microsoft Excel spreadsheet.