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ABSTRACT: Objectives
The diagnosis and management of oral cavity cancers are often complicated by the uncertainty of which patients will undergo malignant transformation, obligating close surveillance over time. However, serial biopsies are undesirable, highly invasive, and subject to inherent issues with poor inter-pathologist agreement and unpredictability as a surrogate for malignant transformation and clinical outcomes. The goal of this study was to develop and evaluate a Multivariate Analytical Risk Index for Oral Cancer (MARIO) with potential to provide non-invasive, sensitive, and quantitative risk assessments for monitoring lesion progression.Materials and methods
A series of predictive models were developed and validated using previously recorded single-cell data from oral c
SUBMITTER: Abram TJ
PROVIDER: S-EPMC7358989 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature