Spatially-aware clustering improves AJCC-8 risk stratification performance in oropharyngeal carcinomas.

ABSTRACT:

Objective

Evaluate the effectiveness of machine learning tools that incorporate spatial information such as disease location and lymph node metastatic patterns-of-spread, for prediction of survival and toxicity in HPV+ oropharyngeal cancer (OPC).

Materials & methods

675 HPV+ OPC patients that were treated at MD Anderson Cancer Center between 2005 and 2013 with curative intent IMRT were retrospectively collected under IRB approval. Risk stratifications incorporating patient radiometric data and lymph node metastasis patterns via an anatomically-adjacent representation with hierarchical clustering were identified. These clusterings were combined into a 3-level patient stratification and included along with other known clinical features in a Cox model for predicting survival ou

SUBMITTER: Canahuate G 

PROVIDER: S-EPMC10561377 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature