Faculty Bibliography

Platelet-rich plasma (PRP) injections are an effective and increasingly utilized treatment for androgenetic alopecia; however, the delivery of concentrated growth factors raises theoretical concerns regarding cutaneous malignancy risk in chronically ultraviolet (UV)-exposed, hair-thinning scalps. In this article, the current hypotheses linking PRP to scalp skin cancer risk are reviewed, including potential oncogenic mechanisms, such as platelet-derived growth factor (PDGF)-mediated signaling, and protective effects, such as improved hair-mediated photoprotection and antiproliferative findings from related blood products, although direct PRP-specific data remain lacking. Overall, the available evidence supports PRP safety while underscoring the need for prospective studies, routine scalp surveillance, and patient counseling regarding photoprotection.

Incorporation of dermoscopy and artificial intelligence (AI) is improving healthcare professionals' ability to diagnose melanoma earlier, but these algorithms often suffer from a "black box" issue, where decision-making processes are not transparent, limiting their utility for training healthcare providers. To address this, an automated approach for generating melanoma imaging biomarker cues (IBCs), which mimics the screening cues used by expert dermoscopists, was developed. This study created a one-minute learning environment where dermatologists adopted a sensory cue integration algorithm to combine a single IBC with a risk score built on many IBCs, then immediately tested their performance in differentiating melanoma from benign nevi. Ten participants evaluated 78 dermoscopic images, comprised of 39 melanomas and 39 nevi, first without IBCs and then with IBCs. Participants classified each image as melanoma or nevus in both experimental conditions, enabling direct comparative analysis through paired data. With IBCs, average sensitivity improved significantly from 73.69% to 81.57% (p = 0.0051), and the average specificity improved from 60.50% to 67.25% (p = 0.059) for the diagnosis of melanoma. The index of discriminability (d') increased significantly by 0.47 (p = 0.002). Therefore, the incorporation of IBCs can significantly improve physicians' sensitivity in melanoma diagnosis. While more research is needed to validate this approach across other healthcare providers, its use may positively impact melanoma screening practices.