A Novel Method to Compute the Contact Surface Area Between an Organ and Cancer Tissue.

ABSTRACT: The contact surface area (CSA) quantifies the interface between a tumor and an organ and is a key predictor of perioperative outcomes in kidney cancer. However, existing CSA computation methods rely on shape assumptions and manual annotation. We propose a novel approach using 3D reconstructions from computed tomography (CT) scans to provide an accurate CSA estimate. Our method includes a segmentation protocol and an algorithm that processes reconstructed meshes. We also provide an open-source implementation with a graphical user interface. Tested on synthetic data, the algorithm showed minimal error and was evaluated on data from 82 patients. We computed the CSA using both our approach and Hsieh's method, which relies on subjective CT scan measurements, in a double-blind study with two rad

SUBMITTER: Bulanti A 

PROVIDER: S-EPMC11942950 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature