Literature DB >> 32391712

Analyzing oropharyngeal cancer survival outcomes: a decision tree approach.

Francesca De Felice1,2, Laia Humbert-Vidan3,4, Mary Lei1, Andrew King4, Teresa Guerrero Urbano1.   

Abstract

OBJECTIVES: To analyze survival outcomes in patients with oropharygeal cancer treated with primary intensity modulated radiotherapy (IMRT) using decision tree algorithms.
METHODS: A total of 273 patients with newly diagnosed oropharyngeal cancer were identified between March 2010 and December 2016. The data set contained nine predictor variables and a dependent variable (overall survival (OS) status). The open-source R software was used. Survival outcomes were estimated by Kaplan-Meier method. Important explanatory variables were selected using the random forest approach. A classification tree that optimally partitioned patients with different OS rates was then built.
RESULTS: The 5 year OS for the entire population was 78.1%. The top three important variables identified were HPV status, N stage and early complete response to treatment. Patients were partitioned in five groups on the basis of these explanatory variables.
CONCLUSION: The proposed classification tree could help to guide future research in oropharyngeal cancer field. ADVANCES IN KNOWLEDGE: Decision tree method seems to be an appropriate tool to partition oropharyngeal cancer patients.

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Year:  2020        PMID: 32391712      PMCID: PMC7336074          DOI: 10.1259/bjr.20190464

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  10 in total

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6.  Outcomes of intensity-modulated radiotherapy as primary treatment for oropharyngeal squamous cell carcinoma - a European singleinstitution analysis.

Authors:  T Bird; F De Felice; A Michaelidou; S Thavaraj; J-P Jeannon; A Lyons; R Oakley; R Simo; M Lei; T Guerrero Urbano
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  1 in total

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