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Related Concept Videos

Skin Cancer01:30

Skin Cancer

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Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
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Population-Based Analysis of Histologically Confirmed Melanocytic Proliferations Using Natural Language Processing.

Jason P Lott1, Denise M Boudreau2,3, Ray L Barnhill4

  • 1Cornell Scott-Hill Health Center, New Haven, Connecticut.

JAMA Dermatology
|November 3, 2017
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Summary
This summary is machine-generated.

Nearly 1 in 4 skin biopsies are melanocytic lesions, ranging from benign to malignant. This study provides the first population-based data on the distribution of these skin conditions.

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Area of Science:

  • Dermatology
  • Pathology
  • Epidemiology

Background:

  • Population-based data on skin biopsy diagnoses, particularly for melanocytic lesions, are lacking.
  • Electronic medical records (EMRs) offer a valuable resource for extracting pathology data to enhance understanding of skin biopsy outcomes.
  • Automated analysis of EMRs can improve epidemiologic insights into skin conditions, especially those of melanocytic origin.

Purpose of the Study:

  • To determine the population-based frequencies and distribution of histologically confirmed melanocytic lesions.
  • To categorize melanocytic lesions using a standardized reporting schema.
  • To establish a foundation for future research on melanocytic lesion epidemiology and optimize skin biopsy utilization.

Main Methods:

  • A natural language processing (NLP)-based analysis was conducted on EMR pathology reports from adult patients undergoing skin biopsies.
  • The study period spanned from January 1, 2007, to December 31, 2012, within a large US Pacific Northwest healthcare system.
  • Histopathologic diagnoses were classified as melanocytic or nonmelanocytic, with melanocytic lesions further subcategorized using the Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) schema.

Main Results:

  • A total of 80,368 skin biopsies from 47,529 patients were analyzed.
  • Melanocytic lesions accounted for 23% of all skin biopsies (n=18,715).
  • Distribution within MPATH-Dx categories: Class I (benign) 83.1%, Class II (low-risk) 8.3%, Class III (moderate-risk) 4.5%, Class IV (invasive melanoma) 2.2%, and Class V (invasive melanoma) 1.9%.

Conclusions:

  • Approximately one-quarter of skin biopsies yield diagnoses of melanocytic proliferations.
  • This study presents the first population-based estimates for the spectrum of melanocytic lesions, from benign to malignant.
  • The findings provide crucial data for understanding the epidemiology of melanocytic proliferations and optimizing skin biopsy use.