ArticleNature communications2025
Discordance, accuracy and reproducibility study of pathologists' diagnosis of melanoma and melanocytic tumors.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prospective Evidence on Artificial Intelligence-Assisted Melanoma Diagnostics: A Systematic Review and Meta-Analysis.JAMA dermatology · 2026Pooled it
- Transforming histologic assessment: artificial intelligence in cancer diagnosis and personalized treatment.British journal of cancer · 2025Pooled it
- AI Dermatology's Unfulfilled Promise: Why Early Melanoma Detection Remains Unverified.International journal of dermatology · 2026Article
- Dermoscopy and the Early Melanoma Concept.International journal of dermatology · 2026Review
- Discordance Between Morphology and Molecular Findings in Dermatopathology: A Perspective on Diagnostic Integration.Journal of cutaneous pathology · 2026Article
- Article
- Diagnostic concordance of dermatopathology and PCR in differentiating eczema from psoriasis.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026Article
- Towards Accurate Breslow Measurements: Mitigating Issues in Histopathological Imaging.Entropy (Basel, Switzerland) · 2026Article
- Overdiagnosis of Melanoma In Situ.Journal of clinical medicine · 2026Review
- Defensive medicine in dermatological practice - Dermatopathology as a mirror of structural challenges.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2026Review
- A model combining deep learning and ensemble learning for melanoma recognition via dermoscopy.Frontiers in oncology · 2026Article
- Circulating tumor cells as biomarkers in melanoma: techniques, challenges, and clinical applications.Frontiers in cell and developmental biology · 2026Review
- From Slide to Insight: The Emerging Alliance of Digital Pathology and AI in Melanoma Diagnostics.Cancers · 2025Review
- Screening and novel diagnostic technologies for melanoma: an update.Melanoma management · 2025Review
- Numerical Analysis of a SiN Digital Fourier Transform Spectrometer for a Non-Invasive Skin Cancer Biosensor.Sensors (Basel, Switzerland) · 2025Article
- Targeting ferroptosis, pyroptosis and necroptosis for cancer immunotherapy in melanoma: mechanistic insights and clinical perspectives.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
47 authors.
Funding
Abstract
Accurate melanoma diagnosis is crucial for patient outcomes and reliability of AI diagnostic tools. We assess interrater variability among eight expert pathologists reviewing histopathological images and clinical metadata of 792 melanoma-suspicious lesions prospectively collected at eight German hospitals. Moreover, we provide access to the largest panel-validated dataset featuring dermoscopic and histopathological images with metadata. Complete agreement is achieved in 53.5% of cases (424/792), and a majority vote ( ≥ five pathologists) in 90.9% (720/792). Considerable discordance is observed for non-invasive melanomas (complete agreement in only 10/73 cases). The expert panel disagrees with the local pathologists' and dermatologists' diagnoses in 14.9% and 33.5% of cases, respectively. This variability highlights the diagnostic challenges of early-stage melanomas and the need to reconsider how ground truth is established in routine care and AI research. Including at least two pathologists or virtual panels may contribute to more consistent diagnostic results.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.