TY - JOUR
T1 - Analyzing oropharyngeal cancer survival outcomes
T2 - a decision tree approach
AU - De Felice, Francesca
AU - Humbert-Vidan, Laia
AU - Lei, Mary
AU - King, Andrew
AU - Guerrero Urbano, Teresa
PY - 2020/7/1
Y1 - 2020/7/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85086746936&partnerID=8YFLogxK
U2 - 10.1259/bjr.20190464
DO - 10.1259/bjr.20190464
M3 - Article
C2 - 32391712
AN - SCOPUS:85086746936
SN - 1748-880X
VL - 93
JO - The British journal of radiology
JF - The British journal of radiology
IS - 1111
ER -
