Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study.

ABSTRACT:

Purpose

To develop an intratumor partitioning framework for identifying high-risk subregions from (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) and computed tomography (CT) imaging and to test whether tumor burden associated with the high-risk subregions is prognostic of outcomes in lung cancer.

Methods and materials

In this institutional review board-approved retrospective study, we analyzed the pretreatment FDG-PET and CT scans of 44 lung cancer patients treated with radiation therapy. A novel, intratumor partitioning method was developed, based on a 2-stage clustering process: first at the patient level, each tumor was over-segmented into many superpixels by k-means clustering of integrated PET and CT images; next, tumor subregions were identified by mer

SUBMITTER: Wu J 

PROVIDER: S-EPMC4969127 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature