Combination of deep learning reconstruction and quantification for dynamic contrast-enhanced (DCE) MRI.

Dynamic contrast-enhanced (DCE) MRI is an important imaging tool for evaluating tumor vascularity that can lead to improved characterization of tumor extent and heterogeneity, and for early assessment of treatment response. However, clinical adoption of quantitative DCE-MRI remains limited due to challenges in acquisition and quantification performance, and lack of automated tools. This study presents an end-to-end deep learning pipeline that exploits a novel deep reconstruction network called DCE-Movienet with a previously developed deep quantification network called DCE-Qnet for fast and quantitative DCE-MRI.

Bail Out Procedures in Acute Cholecystitis: Risk Factors and Optimal Approach.

Background: For difficult cholecystectomies, bail out procedures (BOP) are performed to mitigate risk of patient harm.

Objective: This study sought to identify risk factors for BOP for acute cholecystitis and to compare outcomes by type of BOP performed. Patients with acute cholecystitis who underwent cholecystectomy were included (2020-2022).