Evidence map›Paper›PMID 41008906›Full record

ArticleCancers2025

Melanoma Clues Beyond Dermoscopic Patterns: Lesion Orientation to Langer's Lines as a Predictor on the Trunk.

Umberto Santaniello, Francesco Cavallo, Sara Diana, Silvia Giordano, Orsola Crespi, François Rosset, Andrea Agostini, Giovenale Moirano, Paolo Fava, Pietro Quaglino and 2 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

12 authors.

Umberto SantanielloSection of Dermatology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0009-0008-7728-6832
Francesco CavalloSection of Dermatology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0001-9296-826X
Sara DianaSection of Dermatology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.
Silvia GiordanoSection of Dermatology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0009-0007-0193-1180
Orsola CrespiSection of Dermatology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0009-0001-9270-1204
François RossetSection of Dermatology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-1655-0395
Andrea AgostiniDermatology and Venereology, Ordine Mauriziano "Umberto I" Hospital, 10128 Turin, Italy.ORCID 0000-0001-9101-9812
Giovenale MoiranoDepartment of Medical Sciences, University of Turin and CPO-Piemonte, 10121 Turin, Italy.
Paolo FavaSection of Dermatology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-8443-7458
Pietro QuaglinoSection of Dermatology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0003-4185-9586
Simone RiberoSection of Dermatology, Department of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-0098-1406
Paolo BroganelliDermatology and Venereology, Ordine Mauriziano "Umberto I" Hospital, 10128 Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThe diagnosis of melanocytic lesions on the trunk is challenging due to a high frequency of atypical features in benign nevi, leading to a high rate of unnecessary excisions. This study aimed to identify robust dermoscopic predictors of cutaneous melanoma on the trunk and to evaluate a novel diagnostic criterion: the orientation of lesions relative to Langer's skin tension lines.

methodsWe conducted a retrospective analysis of 321 melanocytic lesions (227 nevi and 94 melanomas) excised from the trunk. Dermoscopic features were systematically evaluated. A chi-square test and an age- and sex-adjusted multivariate logistic regression were performed to calculate odds ratios (OR) and identify independent predictors of malignancy. A subgroup analysis was also conducted on "critical" versus "non-critical" anatomical sites.

resultsNon-adherence to Langer's lines was the most powerful predictor of melanoma (OR 5.55, 95% CI 3.22-9.81;

conclusionsThe orientation of a melanocytic lesion relative to Langer's lines is a powerful and independent predictor of melanoma on the trunk. This simple morphological feature, which may reflect differences in growth patterns between malignant and benign lesions, could serve as an additional clinical cue to support decision-making and improve diagnostic accuracy in this challenging anatomical location.

Indexed as

dermoscopydiagnostic accuracyLanger’s linesmelanomaneviregressionskin neoplasmstrunk

Identifiers

PMID41008906
PMCPMC12468657

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.