Image-based Data Mining to Probe Dosimetric Correlates of Radiation-induced Trismus.

ABSTRACT:

Purpose

To identify imaged regions in which dose is associated with radiation-induced trismus after head and neck cancer radiation therapy (HNRT) using a novel image-based data mining (IBDM) framework.

Methods and materials

A cohort of 86 HNRT patients were analyzed for region identification. Trismus was characterized as a continuous variable by the maximum incisor-to-incisor opening distance (MID) at 6 months after radiation therapy. Patient anatomies and dose distributions were spatially normalized to a common frame of reference using deformable image registration. IBDM was used to identify clusters of voxels associated with MID (P ≤ .05 based on permutation testing). The result was externally tested on a cohort of 35 patients with head and neck cancer. Internally, we also

SUBMITTER: Beasley W 

PROVIDER: S-EPMC6620778 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature