Radial Data Mining to Identify Density-Dose Interactions That Predict Distant Failure Following SABR.

ABSTRACT:

Purpose

Lower dose outside the planned treatment area in lung stereotactic radiotherapy has been linked to increased risk of distant metastasis (DM) possibly due to underdosage of microscopic disease (MDE). Independently, tumour density on pretreatment computed tomography (CT) has been linked to risk of MDE. No studies have investigated the interaction between imaging biomarkers and incidental dose. The interaction would showcase whether the impact of dose on outcome is dependent on imaging and, hence, if imaging could inform which patients require dose escalation outside the gross tumour volume (GTV). We propose an image-based data mining methodology to investigate density-dose interactions radially from the GTV to predict DM with no a priori assumption on location.<

SUBMITTER: Davey A 

PROVIDER: S-EPMC8959483 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature