Real-world performance evaluation of commercial autocontouring software for head and neck cancer radiotherapy.

ABSTRACT:

Objectives

To comprehensively evaluate the ability of ART-Plan (autocontouring software using artificial intelligence [AI]) to contour head and neck cancer (HNC) radiotherapy structures (organs-at-risk and elective nodal volumes) in a real-world setting, as required by NICE guidelines.

Methods

Retrospective evaluation (n = 60) compared clinically used contours to AI-contours, using volumetric dice similarity coefficient (VDSC) and blinded radiation oncologist (RO) contour preference assessment. AI-contours were then generated prospectively for HNC radiotherapy patients (n = 61), before review by ROs. ROs recorded qualitative scoring and review/editing time. Geometric and dosimetric comparison of AI-contours and final contours was undertaken. Correlation coefficients between

SUBMITTER: Young T 

PROVIDER: S-EPMC12515040 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature