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Related Concept Videos

Changes in the Appendicular Skeleton with Age01:09

Changes in the Appendicular Skeleton with Age

The upper and lower limb initially develops as a small bulge called a limb bud, which appears on the lateral side of the early embryo. The upper limb bud appears near the end of the fourth week of development, with the lower limb bud appearing shortly after.
Initially, the limb buds consist of a core of mesenchyme covered by a layer of ectoderm. The ectoderm at the end of the limb bud thickens to form a narrow crest called the apical ectodermal ridge. This ridge stimulates the underlying...

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Related Experiment Video

Updated: May 13, 2026

Midface Hypoplasia and Cranial Base Morphology in Syndromic Craniosynostosis: A Comparative Analysis Study Using a Predictive Regression Model
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Morphometric age and surgical risk.

Michael J Englesbe1, Michael N Terjimanian, Jay S Lee

  • 1Morphomics Analysis Group (MAG), Department of Surgery, University of Michigan, Ann Arbor, MI 48109-5331, USA. englesbe@med.umich.edu

Journal of the American College of Surgeons
|March 26, 2013
PubMed
Summary
This summary is machine-generated.

Morphometric age, calculated from preoperative CT scans, is a better predictor of surgical risk, mortality, and length of stay than chronological age. This new measure offers objective surgical risk assessment.

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Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging
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Clinical Anthropometrics and Body Composition from 3-Dimensional Optical Imaging

Published on: June 7, 2024

Area of Science:

  • Surgical oncology
  • Radiology
  • Geriatric medicine

Background:

  • Surgeons rely on subjective
  • eyeball test
  • for surgical risk assessment.
  • Preoperative imaging offers objective measures via morphometric age calculation.
  • Morphometric age may be a distinct surgical risk factor.

Purpose of the Study:

  • To determine if morphometric age is a surgical risk factor independent of chronologic age and comorbidity.
  • To assess the correlation between morphometric age and surgical mortality and length of stay.

Main Methods:

  • Retrospective cohort study at a major academic medical center.
  • Novel analytic morphomic techniques applied to preoperative CT scans to assign morphometric age.
  • Analysis of 1,370 patients undergoing inpatient general and vascular abdominal surgery (2006-2011).
  • Primary outcomes: 1-year postoperative mortality and length of stay (LOS).

Main Results:

  • Higher mortality risk in the morphometric old age group compared to the morphometric middle age group (OR 2.42).
  • Morphometric old age predicted a 4.6-day longer LOS than the morphometric middle age tertile.
  • Chronologic age poorly correlated with outcomes; morphometric age demonstrated significant predictive value.
  • Patients of chronologic middle age but morphometric old age had significantly worse outcomes (21.4% mortality, 13.8-day LOS).

Conclusions:

  • Preoperative imaging can objectively assign morphometric age.
  • Morphometric age accurately predicts postoperative mortality and length of stay.
  • Morphometric age provides a valuable, distinct risk assessment tool beyond chronologic age.