Oral Medicine Commons^™

Spatially-Aware Clustering Improves Ajcc-8 Risk Stratification Performance In Oropharyngeal Carcinomas, Guadalupe Canahuate, Andrew Wentzel, Abdallah S R Mohamed, Lisanne V Van Dijk, David M Vock, Baher Elgohari, Hesham Elhalawani, Clifton D Fuller, G Elisabeta Marai

Faculty, Staff and Student Publications

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 …

Expression Of Ki-67, Fscni And Tnfrsf 12a In Histologically Non-Involved Mucosal Surgical Margins As Predictive Markers For Local Relapse In Oral Squamous Cell Carcinoma, Zainul Abidin Nur Fauziani

Student Works (2020-2029)

Introduction: The presence tumour-related genetic alterations in histologically noninvolved mucosal surgical margins was linked to development of local relapse in OSCC. Aims: The present study aimed to determine the association between expression of Ki67, FSCN1 and TNFRSF12A in histologically non-involved mucosal surgical margins of OSCC patients and local relapse. Materials and methods: The study involved a total of 34 OSCC cases including 15 cases of patients who had relapse within the 5 years followup period and 19 cases of patients who did not had relapse. Two-stage sampling was carried out to select the margins’ site, followed by the representative sections …