What are the gaps in the literature on subungual melanoma, particularly in relation to diagnostic accuracy, skin of color, and disparities?

Medical Advisory BoardAll articles are reviewed for accuracy by our Medical Advisory Board
Educational purpose only • Exercise caution as content is pending human review
Article Review Status
Submitted
Under Review
Approved

Last updated: March 31, 2025View editorial policy

Personalize

Help us tailor your experience

Which best describes you? Your choice helps us use language that's most understandable for you.

From the Research

I strongly recommend focusing your ASA grant research on developing a novel diagnostic algorithm that combines dermoscopy, confocal microscopy, and artificial intelligence to improve early detection of ungual melanoma in skin of color, addressing significant healthcare disparities and literature gaps in diagnostic accuracy for patients with darker skin tones. Ungual melanoma, a rare subtype affecting the nail unit, has significant literature gaps particularly in diagnostic accuracy for patients with darker skin tones, as highlighted in a study published in 2020 1. Your research could develop and validate a novel diagnostic algorithm that combines dermoscopy, confocal microscopy, and artificial intelligence to differentiate between benign nail conditions (like subungual hematoma or fungal infections) and early melanoma in diverse patient populations.

Key Considerations

  • The project could include a prospective clinical study comparing diagnostic accuracy of your algorithm against current standard approaches, with histopathological confirmation as the gold standard, as suggested by a study on reflectance confocal microscopy in melanoma diagnosis published in 2018 2.
  • Consider including a parallel basic science component examining molecular markers specific to ungual melanoma in different ethnic groups, which could identify novel therapeutic targets, as discussed in a study on the clinical and molecular features of subungual melanomas published in 2020 1.
  • This research would address significant healthcare disparities, as ungual melanoma is often diagnosed at later stages in patients with darker skin tones, leading to poorer outcomes despite being proportionally more common in these populations compared to cutaneous melanoma overall.

Potential Research Directions

  • Investigate the use of reflectance confocal microscopy in conjunction with dermoscopy to improve diagnostic accuracy for ungual melanoma, as explored in a study published in 2015 3.
  • Develop and validate machine learning algorithms to analyze images from dermoscopy and confocal microscopy to aid in the diagnosis of ungual melanoma, building on the advances in the use of reflectance confocal microscopy in melanoma diagnosis discussed in a review published in 2018 4.
  • Examine the molecular differences between subungual melanomas and acral melanomas to identify potential therapeutic targets, as highlighted in a study published in 2020 1.

Evidence-Based Recommendations

  • The use of reflectance confocal microscopy has been shown to improve diagnostic accuracy for melanoma, with a sensitivity of 97.3% and specificity of 72.3% in one study published in 2009 5.
  • A study published in 2018 found that reflectance confocal microscopy may have a potential role in clinical practice, particularly for the assessment of lesions that are difficult to diagnose using visual inspection and dermoscopy alone 2.

Professional Medical Disclaimer

This information is intended for healthcare professionals. Any medical decision-making should rely on clinical judgment and independently verified information. The content provided herein does not replace professional discretion and should be considered supplementary to established clinical guidelines. Healthcare providers should verify all information against primary literature and current practice standards before application in patient care. Dr.Oracle assumes no liability for clinical decisions based on this content.

Have a follow-up question?

Our Medical A.I. is used by practicing medical doctors at top research institutions around the world. Ask any follow up question and get world-class guideline-backed answers instantly.