Skin health and disease · 2026
Trial of novel image-enhancement software to assist medical students in identifying dermoscopic features of melanoma.
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Farmer Stuart, Harrison Simone, Hudson Jeremy, Harvey Nichole, Adegboye Oyelola, Heal Clare
Аннотация
BACKGROUND: Early detection of melanoma is central to reducing the disease-related burden. The dermatoscope is used by skin cancer clinicians to help identify features of melanoma in a skin lesion. Features can be subtle and identification can be a challenge for early dermoscopists.
OBJECTIVES: To investigate the utility of novel image-enhancement software as a possible aid for beginner dermoscopists in identifying melanoma features. The software had previously been developed for optometry for the diagnosis and monitoring of anterior eye conditions.
METHODS: Following an introductory lecture on dermoscopy, third-year medical students at James Cook University were asked to complete a 10-lesion test set of dermoscopic images on benign lesions and cutaneous melanoma (CM). Students scored the presence or absence of some melanoma-related features (asymmetry, blue-grey colour, atypical network) and made a diagnosis for a standard image and then for the matching enhanced image.
RESULTS: In total, 61 students participated. Total performance scores did not differ significantly between standard and enhanced images of the benign lesions. However, students correctly identified CM-related features (blue-grey colour P = 0.01, atypical network P < 0.001) and diagnosed melanoma correctly (P = 0.005) significantly more often when observing the enhanced images of CM compared with standard images. Participants also reported a subjective improvement in diagnostic confidence when using the enhanced images.
CONCLUSIONS: The image-enhancement software shows promise in assisting beginner dermoscopists in identifying some features of melanoma and could be tested with more advanced dermoscopists along with a wider range of dermoscopic features. The software could potentially be made widely and cheaply available in the form of a mobile phone application or be incorporated into an existing image-management platform.
OBJECTIVES: To investigate the utility of novel image-enhancement software as a possible aid for beginner dermoscopists in identifying melanoma features. The software had previously been developed for optometry for the diagnosis and monitoring of anterior eye conditions.
METHODS: Following an introductory lecture on dermoscopy, third-year medical students at James Cook University were asked to complete a 10-lesion test set of dermoscopic images on benign lesions and cutaneous melanoma (CM). Students scored the presence or absence of some melanoma-related features (asymmetry, blue-grey colour, atypical network) and made a diagnosis for a standard image and then for the matching enhanced image.
RESULTS: In total, 61 students participated. Total performance scores did not differ significantly between standard and enhanced images of the benign lesions. However, students correctly identified CM-related features (blue-grey colour P = 0.01, atypical network P < 0.001) and diagnosed melanoma correctly (P = 0.005) significantly more often when observing the enhanced images of CM compared with standard images. Participants also reported a subjective improvement in diagnostic confidence when using the enhanced images.
CONCLUSIONS: The image-enhancement software shows promise in assisting beginner dermoscopists in identifying some features of melanoma and could be tested with more advanced dermoscopists along with a wider range of dermoscopic features. The software could potentially be made widely and cheaply available in the form of a mobile phone application or be incorporated into an existing image-management platform.