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Derm CasesDermatology / Pigmented lesions / Skin cancer triage

Derm Cases · Dermatology / Pigmented lesions / Skin cancer triage

OSCE — dermoscopy image-based diagnosis: two-step algorithm, acral ridge, and monitor-vs-biopsy

An 8-minute OSCE on handheld dermoscopy decision-making: two-step algorithm, chaos-and-clues biopsy threshold, vessel/pattern dictionary pearls, acral parallel ridge red flag, facial/nail special-site awareness, and appropriate use of digital monitoring versus immediate excision; AI as assist only.

8 minosce1 min readVerification in progress

Target exams

NEET-PGINICETPLABMRCPFRCDerm
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Study tools

Target exams

NEET-PGINICETPLABMRCPFRCDerm
Prompt
An 8-minute OSCE on handheld dermoscopy decision-making: two-step algorithm, chaos-and-clues biopsy threshold, vessel/pattern dictionary pearls, acral parallel ridge red flag, facial/nail special-site awareness, and appropriate use of digital monitoring versus immediate excision; AI as assist only.

Brief (to candidate)

Skin lesion clinic. Patient 1: chaotic pigmented back lesion. Patient 2: pigmented sole macule. Patient 3: asks for “AI photo diagnosis and monitoring” of a pink nodule. In 8 minutes, demonstrate image-based decision logic.

[5]

Candidate instructions

  1. State two-step algorithm and one instrument mode pearl (polarised vs immersion).
  2. Apply chaos and clues to Patient 1 → biopsy plan.
  3. Interpret acral ridge vs furrow for Patient 2.
  4. Reject unsafe monitoring for a nodular / red-flag lesion; mention when digital monitoring is acceptable.
  5. Position AI as assistive, not a substitute for red-flag excision/histology.
[5]

Examiner checklist (mark each domain / 10)

DomainKey actions expected
Two-stepMelanocytic criteria → then benign vs suspicious within melanocytic lesions[1]
Chaos/cluesDisorder + melanoma clues → tissue diagnosis[2]
AcralParallel ridge concerning for melanoma; furrow/lattice/fibrillar often benign when classic[3]
Vessels/patternsAt least one correct classic match (e.g. arborising–BCC)
MonitoringOnly selected flat low-suspicion lesions with follow-up; not nodules/red flags[5]
AIMay approach specialist accuracy on curated tasks; does not replace biopsy of red flags[4]
Safety-netClear plan, histology gold standard for excised tissue

Model key actions

  • Patient 1: excise/biopsy with full-thickness approach if melanoma plausible.[1][2]
  • Patient 2: ridge → urgent specialist pathway; not “benign acral freckle” default.[3]
  • Patient 3: pink nodule with atypical vessels → tissue, not AI monitor.

Common errors

  • Monitoring parallel ridge acral lesions.
  • Using trunk network rules on face/sole without site algorithms.
  • Declaring AI “rules out melanoma.”
  • Shave-only plan when melanoma staging depth matters.
[1]
References5ShowHide
  1. [1]Yélamos O, Braun RP, Liopyris K, et al. Dermoscopy and dermatopathology correlates of cutaneous neoplasms. Journal of the American Academy of Dermatology, 2019.PMID 30321581
  2. [2]Rosendahl C, Cameron A, McColl I, Wilkinson D. Dermatoscopy in routine practice - 'chaos and clues'. Australian Family Physician, 2012.PMID 22762066
  3. [3]Saida T, Koga H, Uhara H. Key points in dermoscopic differentiation between early acral melanoma and acral nevus. Journal of Dermatology, 2011.PMID 21175752
  4. [4]Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature, 2017.PMID 28117445
  5. [5]Zenone M, Zocchi L, Moccia C, et al. Digital dermoscopy monitoring of melanocytic lesions: Two novel calculators combining static and dynamic features to identify melanoma. Journal of the European Academy of Dermatology and Venereology, 2022.PMID 34862986
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