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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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Subungual Tumors: An Algorithmic Approach.

Katharine M Hinchcliff1, Clifford Pereira1

  • 1Division of Plastic Surgery, University of California-Davis Medical Center, Sacramento, CA.

The Journal of Hand Surgery
|May 11, 2019
PubMed
Summary
This summary is machine-generated.

Diagnosing subungual tumors requires high suspicion due to nonspecific nail deformities. This study offers a diagnostic algorithm for common benign and malignant subungual lesions.

Keywords:
Melanomanailnail deformitysubungual tumorstumor

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Area of Science:

  • Dermatology
  • Oncology
  • Pathology

Background:

  • Subungual tumors, both benign and malignant, often present with nonspecific nail deformities.
  • This nonspecific presentation frequently leads to delays in diagnosis and treatment.

Purpose of the Study:

  • To present a diagnostic algorithm for common benign and malignant subungual tumors.
  • To summarize the clinical presentation, imaging characteristics, and treatment options for these lesions.

Main Methods:

  • Development of a diagnostic algorithm based on clinical presentation and diagnostic imaging.
  • Review of common benign and malignant subungual tumors.

Main Results:

  • Nonspecific nail deformity is a common pathway for various subungual lesions.
  • A structured diagnostic approach is crucial for timely and accurate diagnosis.

Conclusions:

  • Early suspicion and a systematic approach are essential for managing subungual tumors.
  • The proposed algorithm aids in differentiating and managing common benign and malignant subungual lesions.