Evidence map›Paper›PMID 40117645›Full record

ArticleDermatology practical & conceptual2025

Two-step-7-Pink Rule: A Practical Tool for the Dermoscopic Evaluation of Fully Amelanotic Skin Lesions.

Riccardo Pampena, Stefano Migliorati, Giovanni Paolino, Michela Lai, Nicola Lippolis, Stefania Guida, Stefania Borsari, Sebastiano Pellerone, Sofia Maria Di Ciaccio, Elvira Moscarella and 3 more

Abstract read
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Article in Dermatology practical & conceptual, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Riccardo PampenaAzienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Skin Cancer Center, Reggio Emilia, Italy.
Stefano MiglioratiAzienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Skin Cancer Center, Reggio Emilia, Italy.
Giovanni PaolinoIRCCS Ospedale, San Raffaele, Milano, Italy.
Michela LaiClinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy.
Nicola LippolisAzienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Skin Cancer Center, Reggio Emilia, Italy.
Stefania GuidaDermatology Clinic, Vita-Salute San Raffaele University, Milano, Italy.
Stefania BorsariAzienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Skin Cancer Center, Reggio Emilia, Italy.
Sebastiano PelleroneDermatology Unit, University of Campania, Naples, Italy.
Sofia Maria Di CiaccioDermatology Clinic, Department of Clinical Internal, Anesthesiological and Cardiovascular Sciences, Sapienza University of Rome, Rome, Italy.
Elvira MoscarellaDermatology Unit, University of Campania, Naples, Italy.
Giovanni PellacaniDermatology Clinic, Department of Clinical Internal, Anesthesiological and Cardiovascular Sciences, Sapienza University of Rome, Rome, Italy.
Giuseppe ArgenzianoDermatology Unit, University of Campania, Naples, Italy.
Caterina LongoAzienda Unità Sanitaria Locale - IRCCS di Reggio Emilia, Skin Cancer Center, Reggio Emilia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe diagnosis of fully amelanotic skin tumors is difficult on clinical and dermoscopic examination.

objectivesWe sought to identify an accurate and user-friendly dermoscopic algorithm to differentiate between benign and malignant pink lesions.

methodsThe database of 1 referral center was retrospectively reviewed for images of non-inflammatory fully amelanotic skin lesions. Two dermatologists jointly assessed a validation set of images for dermoscopic criteria and constructed a diagnostic algorithm, the 2-step-7-pink rule (2S-7PR). Two external clinicians, with different skills in dermoscopy and blinded to the final diagnosis, separately evaluated images from the validation test sets using the prevalent criterion method and the new 2S-7PR algorithm.

resultsA total of 763 lesions from 652 patients were included in the validation set database, of which 68.3% were malignant and 31.7% were benign. Three suspicious dermoscopic criteria were included in the first step of the 2S-7PR: polymorphous or sharply focused vessels, scales or crusts, and erosions or ulcerations; and 4 non-suspicious criteria were included in the second: white collarette, white scar-like area, vascular lacunae, and necklace pinpoint vessels. High levels of specificity and sensitivity were calculated in the validation and test phases for both the expert and non-expert evaluators, the former achieving higher levels of both sensitivity and specificity by employing the 2S-7PR compared to the prevalent method, and the latter only improved specificity.

conclusionsThe present study showed that an algorithm focused on a few reproducible and easily recognizable criteria could improve diagnostic accuracy in the management of amelanotic lesions.

Identifiers

PMID40117645
PMCPMC11928135

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