Analytic morphometric assessment of patients undergoing colectomy for colon cancer
Journal of Surgical Oncology, ISSN: 0022-4790, Vol: 108, Issue: 3, Page: 169-175
2013
- 69Citations
- 104Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations69
- Citation Indexes69
- 69
- CrossRef65
- Captures104
- Readers104
- 104
Article Description
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. © 2013 Wiley Periodicals, Inc.
Bibliographic Details
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