Literature DB >> 29049424

Diagnostic Accuracy of Virtual Pathology vs Traditional Microscopy in a Large Dermatopathology Study.

Michael N Kent1,2, Thomas G Olsen1,2, Theresa A Feeser1, Katherine C Tesno1, John C Moad1,2, Michael P Conroy1,3,4, Mary Jo Kendrick1,2, Sean R Stephenson1,5, Michael R Murchland1,2, Ayesha U Khan1, Elizabeth A Peacock1,2, Alexa Brumfiel1, Michael A Bottomley6.   

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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Mesh:

Year:  2017        PMID: 29049424      PMCID: PMC5817435          DOI: 10.1001/jamadermatol.2017.3284

Source DB:  PubMed          Journal:  JAMA Dermatol        ISSN: 2168-6068            Impact factor:   10.282


  41 in total

1.  Clinical decision making based on histopathologic grading and margin status of dysplastic nevi.

Authors:  Keith L Duffy; David J Mann; Vesna Petronic-Rosic; Christopher R Shea
Journal:  Arch Dermatol       Date:  2012-02

2.  Understanding interobserver agreement: the kappa statistic.

Authors:  Anthony J Viera; Joanne M Garrett
Journal:  Fam Med       Date:  2005-05       Impact factor: 1.756

3.  Randomized comparison of virtual microscopy and traditional glass microscopy in diagnostic accuracy among dermatology and pathology residents.

Authors:  Laine H Koch; James N Lampros; Laura K Delong; Suephy C Chen; John T Woosley; Antoinette F Hood
Journal:  Hum Pathol       Date:  2009-01-14       Impact factor: 3.466

4.  Validation of whole slide imaging for primary diagnosis in surgical pathology.

Authors:  Thomas W Bauer; Lynn Schoenfield; Renee J Slaw; Lisa Yerian; Zhiyuan Sun; Walter H Henricks
Journal:  Arch Pathol Lab Med       Date:  2013-01-16       Impact factor: 5.534

5.  Interobserver reproducibility of histological features in cutaneous malignant melanoma.

Authors:  C Urso; F Rongioletti; D Innocenzi; C Saieva; D Batolo; S Chimenti; R Filotico; R Gianotti; M Lentini; C Tomasini; A Rebora; M Pippione
Journal:  J Clin Pathol       Date:  2005-11       Impact factor: 3.411

6.  Discordance in the histopathologic diagnosis of melanoma at a melanoma referral center.

Authors:  B Aika Shoo; Richard W Sagebiel; Mohammed Kashani-Sabet
Journal:  J Am Acad Dermatol       Date:  2010-03-19       Impact factor: 11.527

7.  Whole-slide imaging digital pathology as a platform for teleconsultation: a pilot study using paired subspecialist correlations.

Authors:  David C Wilbur; Kalil Madi; Robert B Colvin; Lyn M Duncan; William C Faquin; Judith A Ferry; Matthew P Frosch; Stuart L Houser; Richard L Kradin; Gregory Y Lauwers; David N Louis; Eugene J Mark; Mari Mino-Kenudson; Joseph Misdraji; Gunnlauger P Nielsen; Martha B Pitman; Andrew E Rosenberg; R Neal Smith; Aliyah R Sohani; James R Stone; Rosemary H Tambouret; Chin-Lee Wu; Robert H Young; Artur Zembowicz; Wolfgang Klietmann
Journal:  Arch Pathol Lab Med       Date:  2009-12       Impact factor: 5.534

8.  A multiobserver, population-based analysis of histologic dysplasia in melanocytic nevi.

Authors:  M W Piepkorn; R L Barnhill; L A Cannon-Albright; D E Elder; D E Goldgar; C M Lewis; J C Maize; L J Meyer; M S Rabkin; R W Sagebiel
Journal:  J Am Acad Dermatol       Date:  1994-05       Impact factor: 11.527

9.  Virtual reality microscope versus conventional microscope regarding time to diagnosis: an experimental study.

Authors:  Rebecca Randell; Roy A Ruddle; Claudia Mello-Thoms; Rhys G Thomas; Phil Quirke; Darren Treanor
Journal:  Histopathology       Date:  2012-08-08       Impact factor: 5.087

10.  Reexamining the Threshold for Reexcision of Histologically Transected Dysplastic Nevi.

Authors:  Nathaniel H Fleming; Barbara M Egbert; Jinah Kim; Susan M Swetter
Journal:  JAMA Dermatol       Date:  2016-12-01       Impact factor: 10.282

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  16 in total

1.  The performance of digital microscopy for primary diagnosis in human pathology: a systematic review.

Authors:  Anna Luíza Damaceno Araújo; Lady Paola Aristizábal Arboleda; Natalia Rangel Palmier; Jéssica Montenegro Fonsêca; Mariana de Pauli Paglioni; Wagner Gomes-Silva; Ana Carolina Prado Ribeiro; Thaís Bianca Brandão; Luciana Estevam Simonato; Paul M Speight; Felipe Paiva Fonseca; Marcio Ajudarte Lopes; Oslei Paes de Almeida; Pablo Agustin Vargas; Cristhian Camilo Madrid Troconis; Alan Roger Santos-Silva
Journal:  Virchows Arch       Date:  2019-01-26       Impact factor: 4.064

2.  Accuracy of Digital Pathologic Analysis vs Traditional Microscopy in the Interpretation of Melanocytic Lesions.

Authors:  Tracy Onega; Raymond L Barnhill; Michael W Piepkorn; Gary M Longton; David E Elder; Martin A Weinstock; Stevan R Knezevich; Lisa M Reisch; Patricia A Carney; Heidi D Nelson; Andrea C Radick; Joann G Elmore
Journal:  JAMA Dermatol       Date:  2018-10-01       Impact factor: 10.282

3.  Fully digital pathology laboratory routine and remote reporting of oral and maxillofacial diagnosis during the COVID-19 pandemic: a validation study.

Authors:  Anna Luíza Damaceno Araújo; Gleyson Kleber do Amaral-Silva; Maria Eduarda Pérez-de-Oliveira; Karen Patricia Domínguez Gallagher; Cinthia Veronica Bardalez López de Cáceres; Ana Luiza Oliveira Corrêa Roza; Amanda Almeida Leite; Bruno Augusto Linhares Almeida Mariz; Carla Isabelly Rodrigues-Fernandes; Felipe Paiva Fonseca; Marcio Ajudarte Lopes; Paul M Speight; Syed Ali Khurram; Jacks Jorge Júnior; Manoela Domingues Martins; Oslei Paes de Almeida; Alan Roger Santos-Silva; Pablo Agustin Vargas
Journal:  Virchows Arch       Date:  2021-03-13       Impact factor: 4.064

4.  Validation of Image Quality and Diagnostic Accuracy Using a Mobile Phone Camera Microscope Adaptor Compared With Glass Slide Review in Teledermatopathology.

Authors:  Caroline W Laggis; Elizabeth E Bailey; Roberto Novoa; Campbell L Stewart; Benjamin Stoff; Karolyn A Wanat; John Barbieri; Carrie Kovarik
Journal:  Am J Dermatopathol       Date:  2020-05       Impact factor: 1.319

Review 5.  Multiplexed Immunohistochemistry and Digital Pathology as the Foundation for Next-Generation Pathology in Melanoma: Methodological Comparison and Future Clinical Applications.

Authors:  Yannick Van Herck; Asier Antoranz; Madhavi Dipak Andhari; Giorgia Milli; Oliver Bechter; Frederik De Smet; Francesca Maria Bosisio
Journal:  Front Oncol       Date:  2021-03-29       Impact factor: 6.244

6.  A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies.

Authors:  Joshua J Levy; Nasim Azizgolshani; Michael J Andersen; Arief Suriawinata; Xiaoying Liu; Mikhail Lisovsky; Bing Ren; Carly A Bobak; Brock C Christensen; Louis J Vaickus
Journal:  Mod Pathol       Date:  2020-12-09       Impact factor: 7.842

7.  Diagnostic Performance of Deep Learning Algorithms Applied to Three Common Diagnoses in Dermatopathology.

Authors:  Thomas George Olsen; B Hunter Jackson; Theresa Ann Feeser; Michael N Kent; John C Moad; Smita Krishnamurthy; Denise D Lunsford; Rajath E Soans
Journal:  J Pathol Inform       Date:  2018-09-27

8.  Long-Range Diagnosis of and Support for Skin Conditions in Field Settings.

Authors:  Victoria Williams; Carrie Kovarik
Journal:  Trop Med Infect Dis       Date:  2018-08-13

9.  Tailored for Real-World: A Whole Slide Image Classification System Validated on Uncurated Multi-Site Data Emulating the Prospective Pathology Workload.

Authors:  Julianna D Ianni; Rajath E Soans; Sivaramakrishnan Sankarapandian; Ramachandra Vikas Chamarthi; Devi Ayyagari; Thomas G Olsen; Michael J Bonham; Coleman C Stavish; Kiran Motaparthi; Clay J Cockerell; Theresa A Feeser; Jason B Lee
Journal:  Sci Rep       Date:  2020-02-21       Impact factor: 4.379

10.  Attitudes Toward Artificial Intelligence Within Dermatopathology: An International Online Survey.

Authors:  Sam Polesie; Phillip H McKee; Jerad M Gardner; Martin Gillstedt; Jan Siarov; Noora Neittaanmäki; John Paoli
Journal:  Front Med (Lausanne)       Date:  2020-10-20
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