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Analytic morphometric assessment of patients undergoing colectomy for colon cancer
Author(s) -
Sabel Michael S.,
Terjimanian Michael,
Conlon Anna S.C.,
Griffith Kent A.,
Morris Arden M.,
Mulholland Michael W.,
Englesbe Michael J.,
Holcombe Stephan,
Wang Stewart C.
Publication year - 2013
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.23366
Subject(s) - medicine , colorectal cancer , multivariate analysis , proportional hazards model , colectomy , body mass index , surgery , cancer
Background Analytic morphometrics provides objective data that may better stratify risk. We investigated morphometrics and outcome among colon cancer patients. Methods An IRB‐approved review identified 302 patients undergoing colectomy who had CT scans. These were processed to measure psoas area (PA), density (PD), subcutaneous fat (SFD), visceral fat (VF), and total body fat (TBF). Correlation with complications, recurrence, and survival were obtained by t ‐tests and linear regression models after adjusting for age and Charlson index. Results The best predictor of surgical complications was PD. PMH, Charlson, BMI, and age were not significant when PD was considered. SF area was the single best predictor of a wound infection. While all measures of obesity correlated with outcome, TBF was most predictive. Final multivariate Cox models for survival included age, Charlson score, nodal positivity, and TBF. Conclusions Analytic morphometric analysis provided objective data that stratified complications and outcome better than age, BMI, or co‐morbidities. J. Surg. Oncol. 2013; 108:169–175 . © 2013 Wiley Periodicals, Inc.