Society of abdominal radiology survey of practice patterns in using LI-RADS treatment response criteria in the evaluation of hepatocellular carcinoma post-locoregional treatment.

Purpose: To examine national trends in the adoption and use of the LI-RADS Treatment Response Algorithm.

Methods: Members of the Society of Abdominal Radiology (SAR) Disease-Focused Panel (DFP) on LI-RADS Treatment Response (LR-TR) of hepatocellular carcinoma (HCC) developed a 15-question survey which was distributed to radiologists at academic and private practice institutions around the USA and Canada. The survey focused on HCC-related practice patterns as well as the adoption and use of the LR-TR algorithm.

Disparities in Diagnostic Imaging for Initial Local Staging for Rectal Cancer.

Objective: To assess the presence, quality, and timeliness of initial staging imaging for rectal cancer patients, and to evaluate demographic factors associated with disparities.

Methods: We conducted a chart review of consecutive rectal adenocarcinoma cancer registry cases from a single institution for the period from 2015 to 2020. We recorded whether initial staging MRI or endoscopic ultrasound (EUS) was performed, and whether it was performed in or outside the institution.

A Multicenter Assessment of Interreader Reliability of LI-RADS Version 2018 for MRI and CT.

Background Various limitations have impacted research evaluating reader agreement for Liver Imaging Reporting and Data System (LI-RADS). Purpose To assess reader agreement of LI-RADS in an international multicenter multireader setting using scrollable images. Materials and Methods This retrospective study used deidentified clinical multiphase CT and MRI and reports with at least one untreated observation from six institutions and three countries; only qualifying examinations were submitted.

Revenue and Cost Analysis of a System Utilizing Natural Language Processing and a Nurse Coordinator for Radiology Follow-up Recommendations.

Radiology reports often contain recommendations for follow-up imaging, Provider adherence to these radiology recommendations can be incomplete, which may result in patient harm, lost revenue, or litigation. This study sought to perform a revenue assessment of a hybrid natural language processing (NLP) and human follow-up system. Reports generated from January 2020 to April 2021 that were indexed as overdue from follow-up recommendations by mPower Follow-Up Recommendation Algorithm (Nuance Communications Inc.