title: Morphomic analysis as an aid for preoperative risk stratification in patients undergoing major head and neck cancer surgery.
abstract: BACKGROUND
  Patients undergoing major head and neck cancer surgery (MHNCS) may develop significant postoperative complications. To minimize the risk of complications, clinicians often assess multiple measures of preoperative health in terms of medical comorbidities. One emerging method to decrease surgical complications is preoperative assessment of patient frailty measured by specific tissue characteristics. We hypothesize that morphomic characteristics of the temporalis region serve as predictive markers for the development of complications after MHNCS.
  
  
  METHODS
  We performed a retrospective review of 69 patients with available computed tomography (CT) imaging who underwent MHNCS from 2006-2012. To measure temporalis region characteristics, we used morphomic analysis of available preoperative CT scans to map out the region. All available CT scans had been performed as part of the patient's routine work-up and were not ordered for morphomic analysis. We describe the correlation among temporalis fat pad volume (TFPV), mean zygomatic arch thickness, and incidence of postoperative complications.
  
  
  RESULTS
  We noted significant difference in the zygomatic bone thickness and TFPV between patients who had medical complications, surgical complications, or total major complications and those who did not. Furthermore, by use of binary logistic regression, our data suggest decreased TFPV and zygomatic arch thickness are stronger predictors of developing postoperative complications than previously studies preoperative characteristics.
  
  
  CONCLUSIONS
  We describe morphomic analysis of the temporalis region in patients undergoing MHNCS to identify patients at risk for complications. Regional anatomic morphology may serve as a marker to objectively determine a patient's overall health. Use of the temporalis region is appropriate in patients undergoing MHNCS because of the availability of preoperative scans as part of routine work up for head and/or neck cancer.
authors.affiliation: Section of Plastic Surgery, Department of Surgery, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.
authors.forename: Jacob
authors.initials: J
authors.lastname: Rinkinen
authors.affiliation: Section of Plastic Surgery, Department of Surgery, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.
authors.forename: Shailesh
authors.initials: S
authors.lastname: Agarwal
authors.affiliation: Section of Plastic Surgery, Department of Surgery, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.
authors.forename: Jeff
authors.initials: J
authors.lastname: Beauregard
authors.affiliation: Section of Plastic Surgery, Department of Surgery, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.
authors.forename: Oluseyi
authors.initials: O
authors.lastname: Aliu
authors.affiliation: Section of Plastic Surgery, Department of Surgery, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.
authors.forename: Matthew
authors.initials: M
authors.lastname: Benedict
authors.affiliation: Section of Plastic Surgery, Department of Surgery, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.
authors.forename: Steven R
authors.initials: SR
authors.lastname: Buchman
authors.affiliation: Section of Plastic Surgery, Department of Surgery, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.
authors.forename: Stewart C
authors.initials: SC
authors.lastname: Wang
authors.affiliation: Section of Plastic Surgery, Department of Surgery, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan; International Center for Automotive Medicine, Department of Surgery, University of Michigan, Ann Arbor, Michigan. Electronic address: blevi@umich.edu.
authors.forename: Benjamin
authors.initials: B
authors.lastname: Levi
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D006258:Head and Neck Neoplasms / Q000473:pathology / Q000601:surgery*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011183:Postoperative Complications / Q000453:epidemiology; D012372:ROC Curve; D012189:Retrospective Studies; D012306:Risk; D014057:Tomography, X-Ray Computed
keywords: Head and neck cancer; Morphomics; Outcomes; Temporal fat pad; Zygomatic bone