Semi-automated total body photography can identify subtle melanomas but false-negatives on automated comparison highlight the need for manual side-by-side image comparison

Mohsen Hassani; Christine Lee; Aksana Marozava; Nikita Rosendahl; Blake O'Brien; Sarah Wallace; Cliff Rosendahl

doi:10.1111/ajd.14013

Semi-automated total body photography can identify subtle melanomas but false-negatives on automated comparison highlight the need for manual side-by-side image comparison

Australas J Dermatol. 2023 May;64(2):e193-e196. doi: 10.1111/ajd.14013. Epub 2023 Feb 26.

Authors

Mohsen Hassani¹, Christine Lee², Aksana Marozava³, Nikita Rosendahl⁴, Blake O'Brien⁵, Sarah Wallace⁵, Cliff Rosendahl^{1

6}

Affiliations

¹ Primary Care Clinical Unit, Medical School, The University of Queensland, Queensland, Herston, Australia.
² Capalaba General Practice, Queensland, Capalaba, Australia.
³ Department of Skin and Venereal Diseases, Belarusian State Medical University, Minsk, Belarus.
⁴ Faculty of Medicine, The University of Queensland, St Lucia, Queensland, Australia.
⁵ Sullivan Nicolaides Pathology, Queensland, Bowen Hills, Australia.
⁶ Tehran University of Medical Sciences, Tehran, Iran.

PMID: 36843046
DOI: 10.1111/ajd.14013

No abstract available

Keywords: SDDI; TBP; featureless melanoma; sequential digital dermatoscopic imaging; sequential digital dermoscopic imaging; total body photography.

Publication types

Case Reports

MeSH terms

Dermoscopy / methods
Humans
Melanoma* / diagnostic imaging
Photography
Skin Neoplasms* / diagnostic imaging