ArticleJAMA dermatology2017
Diagnostic Accuracy of Virtual Pathology vs Traditional Microscopy in a Large Dermatopathology Study.
Article in JAMA dermatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07705386 (Development of an AI-Assisted Diagnostic Tool for Mycosis Fungoides and Other Cutaneous Lymphoproliferative Diseases Using Microscopic Image Analysis), which is not on this map. Cited by 24 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.
Development of an AI-Assisted Diagnostic Tool for Mycosis Fungoides and Other Cutaneous Lymphoproliferative Diseases Using Microscopic Image Analysis: A Training and Validation Study
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.
- Diagnostic concordance and discordance in digital pathology: a systematic review and meta-analysis.Journal of clinical pathology · 2021Pooled it
- The performance of digital microscopy for primary diagnosis in human pathology: a systematic review.Virchows Archiv : an international journal of pathology · 2019Pooled it
- Perceptions of digital pathology among healthcare workers in pathology.Journal of pathology informatics · 2026Article
- Advancements in Image-Based Artificial Intelligence in the Diagnosis and Treatment of Head and Neck Squamous Cell Carcinoma: A Narrative Review.International journal of general medicine · 2026Review
- A hybrid multi-instance learning-based identification of gastric adenocarcinoma differentiation on whole-slide images.Biomedical engineering online · 2025Article
- Dermatology residents' perspectives on virtual dermatopathology education.Journal of cutaneous pathology · 2024Article
- Department Wide Validation in Digital Pathology-Experience from an Academic Teaching Hospital Using the UK Royal College of Pathologists' Guidance.Diagnostics (Basel, Switzerland) · 2023Article
- Global research trends and foci of artificial intelligence-based tumor pathology: a scientometric study.Journal of translational medicine · 2022Article
- Quantitative Evaluation of Inflammatory Markers in Peri-Implantitis and Periodontitis Tissues: Digital vs. Manual Analysis-A Proof of Concept Study.Medicina (Kaunas, Lithuania) · 2022Article
- Digital validation of breast biomarkers (ER, PR, AR, and HER2) in cytology specimens using three different scanners.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022Article
- Validation of digital microscopy: Review of validation methods and sources of bias.Veterinary pathology · 2022Review
- The utility of digital pathology in improving the diagnostic skills of pathology trainees in commonly encountered pigmented cutaneous lesions during the COVID-19 pandemic: A single academic institution experience.Annals of diagnostic pathology · 2021Article
- Fully digital pathology laboratory routine and remote reporting of oral and maxillofacial diagnosis during the COVID-19 pandemic: a validation study.Virchows Archiv : an international journal of pathology · 2021Article
- Virtual Microscopy in Undergraduate Pathology Education: An early transformative experience in clinical reasoning.Sultan Qaboos University medical journal · 2021Article
- A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021Article
- Multiplexed Immunohistochemistry and Digital Pathology as the Foundation for Next-Generation Pathology in Melanoma: Methodological Comparison and Future Clinical Applications.Frontiers in oncology · 2021Review
- Recommendations for pathologic practice using digital pathology: consensus report of the Korean Society of Pathologists.Journal of pathology and translational medicine · 2020Review
- Validation of Image Quality and Diagnostic Accuracy Using a Mobile Phone Camera Microscope Adaptor Compared With Glass Slide Review in Teledermatopathology.The American Journal of dermatopathology · 2020Article
- Tailored for Real-World: A Whole Slide Image Classification System Validated on Uncurated Multi-Site Data Emulating the Prospective Pathology Workload.Scientific reports · 2020Article
- Attitudes Toward Artificial Intelligence Within Dermatopathology: An International Online Survey.Frontiers in medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Digital pathology represents a transformative technology that impacts dermatologists and dermatopathologists from residency to academic and private practice. Two concerns are accuracy of interpretation from whole-slide images (WSI) and effect on workflow. Studies of considerably large series involving single-organ systems are lacking. Objective: To evaluate whether diagnosis from WSI on a digital microscope is inferior to diagnosis of glass slides from traditional microscopy (TM) in a large cohort of dermatopathology cases with attention on image resolution, specifically eosinophils in inflammatory cases and mitotic figures in melanomas, and to measure the workflow efficiency of WSI compared with TM. Design, Setting, and Participants: Three dermatopathologists established interobserver ground truth consensus (GTC) diagnosis for 499 previously diagnosed cases proportionally representing the spectrum of diagnoses seen in the laboratory. Cases were distributed to 3 different dermatopathologists who diagnosed by WSI and TM with a minimum 30-day washout between methodologies. Intraobserver WSI/TM diagnoses were compared, followed by interobserver comparison with GTC. Concordance, major discrepancies, and minor discrepancies were calculated and analyzed by paired noninferiority testing. We also measured pathologists' read rates to evaluate workflow efficiency between WSI and TM. This retrospective study was caried out in an independent, national, university-affiliated dermatopathology laboratory. Main Outcomes and Measures: Intraobserver concordance of diagnoses between WSI and TM methods and interobserver variance from GTC, following College of American Pathology guidelines. Results: Mean intraobserver concordance between WSI and TM was 94%. Mean interobserver concordance was 94% for WSI and GTC and 94% for TM and GTC. Mean interobserver concordance between WSI, TM, and GTC was 91%. Diagnoses from WSI were noninferior to those from TM. Whole-slide image read rates were commensurate with WSI experience, achieving parity with TM by the most experienced user. Conclusions and Relevance: Diagnosis from WSI was found equivalent to diagnosis from glass slides using TM in this statistically powerful study of 499 dermatopathology cases. This study supports the viability of WSI for primary diagnosis in the clinical setting.
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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.