Literature DB >> 35107069

Clinical ABCDE rule for early melanoma detection.

Ana F Duarte1, Bernardo Sousa-Pinto2, Luís F Azevedo3, Ana M Barros4, Susana Puig5, Josep Malvehy5, Eckart Haneke6, Osvaldo Correia7.   

Abstract

BACKGROUND: The ABCDE rule systematizes warning signs for malignant melanoma (MM).
OBJECTIVES: To evaluate whether the ABCDE signs are associated with early detection of MM. MATERIALS &
METHODS: Based on a retrospective study over 11.5 years, we assessed whether ABCDE signs are associated with early diagnosis of MM.
RESULTS: In total, 144 MM were included; 52 (36.1%) in situ and 92 (63.9%) invasive lesions. For 23.6%, the MM were first suspected by an individual other than a dermatologist. The "E sign" was significantly less frequent among in situ lesions (32.7% versus 50.0%; p = 0.044). Based on adjusted analyses, the probability of MM being first suspected by a non-dermatologist consistently increased with the number of ABCDE signs of the lesion, ranging from 8% for a neoplasm with no ABCDE signs to 32% for a lesion with five signs (OR = 1.6; 95% CI: 1.2-2.2; p = 0.004).
CONCLUSION: A higher number of ABCDE signs were associated with a greater chance of MM being first suspected by a non-dermatologist, but not in situ MM diagnosis. Relying on the ABCDE rule alone might result in missing early MM lesions.

Entities:  

Keywords:  ABCDE rule; early detection; malignant melanoma (MM); non-dermatologist

Mesh:

Year:  2021        PMID: 35107069     DOI: 10.1684/ejd.2021.4171

Source DB:  PubMed          Journal:  Eur J Dermatol        ISSN: 1167-1122            Impact factor:   3.328


  2 in total

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Authors:  Ofir Shir-Az; Dafna Shilo Yaacobi; Ariel Berl; Eyal Yosefof; Andrew E Grush; Avshalom Shalom
Journal:  Semin Plast Surg       Date:  2022-06-13       Impact factor: 2.195

2.  A Fair Performance Comparison between Complex-Valued and Real-Valued Neural Networks for Disease Detection.

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Journal:  Diagnostics (Basel)       Date:  2022-08-04
  2 in total

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