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Related Concept Videos

Skin Cancer01:30

Skin Cancer

6.5K
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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Related Experiment Video

Updated: Mar 9, 2026

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
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A Clinical Aid for Detecting Skin Cancer: The Triage Amalgamated Dermoscopic Algorithm (TADA).

T Rogers1, M L Marino1, S W Dusza1

  • 1From the Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY (TR, MLM, SWD, SB, MAM, AAM); Department of Family and Community Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX (RPU).

Journal of the American Board of Family Medicine : JABFM
|January 12, 2017
PubMed
Summary
This summary is machine-generated.

A simplified dermoscopy algorithm, Triage Amalgamated Dermoscopic Algorithm (TADA), demonstrated high sensitivity (94.8%) for detecting skin cancer in primary care physicians after basic training.

Keywords:
AlgorithmsBiopsyCross-sectional StudiesDermoscopyFamilyPalpationPhysiciansReferral and ConsultationSensitivity and SpecificitySkin NeoplasmsTriage

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Area of Science:

  • Dermatology
  • Primary Care Medicine
  • Medical Diagnostics

Background:

  • Family physicians (FPs) often encounter skin lesions but may lack specialized training for accurate diagnosis.
  • Dermoscopy is a valuable tool for skin lesion evaluation, but its effective use requires training.
  • A simplified algorithm could improve diagnostic accuracy for primary care physicians.

Purpose of the Study:

  • To evaluate the diagnostic performance of a new, simplified dermoscopy algorithm for skin cancer detection.
  • To assess the utility of the Triage Amalgamated Dermoscopic Algorithm (TADA) in primary care settings.

Main Methods:

  • A cross-sectional study involving 120 dermoscopy course attendees evaluating 50 skin lesion images.
  • Participants used the Triage Amalgamated Dermoscopic Algorithm (TADA) after one day of basic dermoscopy training.
  • TADA criteria included architectural disorder, starburst pattern, specific colors, white structures, negative network, ulcer, and vessels.

Main Results:

  • The TADA algorithm achieved a sensitivity of 94.8% and a specificity of 72.3% for detecting malignant skin lesions.
  • Neither prior dermoscopy training nor experience significantly impacted diagnostic sensitivity or specificity.
  • Dermatologists showed higher specificity (79%) compared to non-dermatologists (72%).

Conclusions:

  • The TADA algorithm shows promise as a useful tool for family physicians in detecting skin cancer.
  • Basic instruction in TADA can equip FPs with a sensitive method for evaluating skin lesions.
  • The algorithm's high sensitivity suggests it can help identify potentially cancerous lesions requiring further action.