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Related Experiment Video

Updated: May 30, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Factors predictive of complex Mohs surgery cases.

Seema Sahai1, Hobart W Walling

  • 1Department of Dermatology, University of Iowa, Iowa City, IA 52241, USA.

The Journal of Dermatological Treatment
|July 27, 2011
PubMed
Summary

Complex Mohs surgery cases are predicted by recurrent or aggressive tumors, larger size, and specific locations like the nose and ear. Understanding these factors aids pre-operative planning for Mohs surgeons.

Area of Science:

  • Dermatology
  • Surgical Oncology
  • Pathology

Background:

  • Mohs surgery offers tissue-sparing skin cancer excision, minimizing recurrence.
  • Predictive factors for complex Mohs surgery cases require further study.

Purpose of the Study:

  • Identify patient, tumor, and surgeon characteristics associated with complex Mohs surgery cases.
  • Determine factors influencing the need for multiple surgical stages in Mohs procedures.

Main Methods:

  • Retrospective review of Mohs surgery cases over a 3-year period.
  • Comparison of cases requiring ≥4 stages (complex) versus ≤3 stages (non-complex).
  • Analysis of surgical logs from fellowship-trained Mohs surgeons.

Main Results:

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  • Recurrent tumors (OR 6.88), infiltrative/morpheaform basal cell carcinoma (BCC) (OR 3.0), and tumors >1 cm (OR 2.0) were associated with complexity.
  • Nose (OR 2.05) and ear (OR 3.0) tumors, particularly on the nasal tip and helix, were more complex.
  • Complex cases had larger post-operative areas and higher rates of flap/graft repair.

Conclusions:

  • Mohs surgery complexity is similar in academic and private practice settings.
  • Pre-operative identification of recurrent/aggressive tumors, larger size, and specific locations (nose, ear) can predict surgical complexity.
  • This knowledge aids Mohs surgeons in pre-operative case planning.