Morphomic analysis as an aid for preoperative risk stratification in patients undergoing major head and neck cancer surgery

Jacob Rinkinen, Shailesh Agarwal, Jeff Beauregard, Oluseyi Aliu, Matthew Benedict, Steven R. Buchman, Stewart C. Wang, Benjamin Levi

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)177-184
Number of pages8
JournalJournal of Surgical Research
Volume194
Issue number1
DOIs
StatePublished - Mar 1 2015
Externally publishedYes

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Head and Neck Neoplasms
Zygoma
Adipose Tissue
Tomography
Health
Comorbidity
Logistic Models
Bone and Bones
Incidence

Keywords

  • Head and neck cancer
  • Morphomics
  • Temporal fat pad
  • Zygomatic bone Outcomes

ASJC Scopus subject areas

  • Surgery
  • Medicine(all)

Cite this

Morphomic analysis as an aid for preoperative risk stratification in patients undergoing major head and neck cancer surgery. / Rinkinen, Jacob; Agarwal, Shailesh; Beauregard, Jeff; Aliu, Oluseyi; Benedict, Matthew; Buchman, Steven R.; Wang, Stewart C.; Levi, Benjamin.

In: Journal of Surgical Research, Vol. 194, No. 1, 01.03.2015, p. 177-184.

Research output: Contribution to journalArticle

Rinkinen, Jacob ; Agarwal, Shailesh ; Beauregard, Jeff ; Aliu, Oluseyi ; Benedict, Matthew ; Buchman, Steven R. ; Wang, Stewart C. ; Levi, Benjamin. / Morphomic analysis as an aid for preoperative risk stratification in patients undergoing major head and neck cancer surgery. In: Journal of Surgical Research. 2015 ; Vol. 194, No. 1. pp. 177-184.
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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.",
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N2 - 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.

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