Computer-Aided Decision Support and 3D Models in Pancreatic Cancer Surgery: A Pilot Study.

ABSTRACT: Background: Preoperative planning of patients diagnosed with pancreatic head cancer is difficult and requires specific expertise. This pilot study assesses the added value of three-dimensional (3D) patient models and computer-aided detection (CAD) algorithms in determining the resectability of pancreatic head tumors. Methods: This study included 14 hepatopancreatobiliary experts from eight hospitals. The participants assessed three radiologically resectable and three radiologically borderline resectable cases in a simulated setting via crossover design. Groups were divided in controls (using a CT scan), a 3D group (using a CT scan and 3D models), and a CAD group (using a CT scan, 3D and CAD). For the perceived fulfillment of preoperative needs, the quality and confidence of clinical decisi

SUBMITTER: Rasenberg DWM 

PROVIDER: S-EPMC11899912 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature