Analytic morphometric assessment of patients undergoing colectomy for colon cancer. Issue 3 (11th July 2013)
- Record Type:
- Journal Article
- Title:
- Analytic morphometric assessment of patients undergoing colectomy for colon cancer. Issue 3 (11th July 2013)
- Main Title:
- Analytic morphometric assessment of patients undergoing colectomy for colon cancer
- Authors:
- 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. - Abstract:
- <abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <sec id="jso23366-sec-0001" sec-type="section"> <title>Background</title> <p>Analytic morphometrics provides objective data that may better stratify risk. We investigated morphometrics and outcome among colon cancer patients.</p> </sec> <sec id="jso23366-sec-0002" sec-type="section"> <title>Methods</title> <p>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 <italic>t</italic>‐tests and linear regression models after adjusting for age and Charlson index.</p> </sec> <sec id="jso23366-sec-0003" sec-type="section"> <title>Results</title> <p>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.</p> </sec> <sec id="jso23366-sec-0004" sec-type="section"> <title>Conclusions</title> <p>Analytic morphometric analysis provided objective data that stratified complications and outcome better than age, BMI, or co‐morbidities. <italic>J. Surg. Oncol. 2013;<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <sec id="jso23366-sec-0001" sec-type="section"> <title>Background</title> <p>Analytic morphometrics provides objective data that may better stratify risk. We investigated morphometrics and outcome among colon cancer patients.</p> </sec> <sec id="jso23366-sec-0002" sec-type="section"> <title>Methods</title> <p>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 <italic>t</italic>‐tests and linear regression models after adjusting for age and Charlson index.</p> </sec> <sec id="jso23366-sec-0003" sec-type="section"> <title>Results</title> <p>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.</p> </sec> <sec id="jso23366-sec-0004" sec-type="section"> <title>Conclusions</title> <p>Analytic morphometric analysis provided objective data that stratified complications and outcome better than age, BMI, or co‐morbidities. <italic>J. Surg. Oncol. 2013; 108:169–175</italic>. © 2013 Wiley Periodicals, Inc.</p> </sec> </abstract> … (more)
- Is Part Of:
- Journal of surgical oncology. Volume 108:Issue 3(2013:Sep. 01)
- Journal:
- Journal of surgical oncology
- Issue:
- Volume 108:Issue 3(2013:Sep. 01)
- Issue Display:
- Volume 108, Issue 3 (2013)
- Year:
- 2013
- Volume:
- 108
- Issue:
- 3
- Issue Sort Value:
- 2013-0108-0003-0000
- Page Start:
- 169
- Page End:
- 175
- Publication Date:
- 2013-07-11
- Subjects:
- Cancer -- Surgery -- Periodicals
Neoplasms -- Periodicals
616 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1096-9098 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jso.23366 ↗
- Languages:
- English
- ISSNs:
- 0022-4790
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5067.380000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4176.xml