Validation of A Nationwide Digital Pediatric Pathology Consultation Network.

IF 1.3 4区 医学 Q3 PATHOLOGY
Haiying Chen, Juan Putra, Anita Nagy, Jefferson Terry, Dina El Demellawy, Joseph de Nanassy, Erica Schollenberg, Aaron Haig, Camelia Stefanovici, Kathryn Whelan, Alysa Poulin, Dorothee Dal Soglio, Zesheng Chen, Brian Smith, Cindy Fiore, Gino R Somers
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引用次数: 0

Abstract

Background: Digital pathology facilitates remote pathology consultations. Pediatric pathologists in Canada formed a nationwide digital pathology consultation network, mostly for second opinion review of pediatric cancer cases. Validation of such a large network for clinical use is challenging. Here we report our unique validation process of this digital pathology network.

Method: This study was designed in keeping with the College of American Pathologist (CAP) guidelines, and included 14 pathologists from 9 hospitals across Canada. All cases are pediatric pathology cases. Each pathologist reviewed multiple digital cases and the corresponding glass slide cases. For each review, intra-observer concordance (diagnosis on digital case versus diagnosis on glass slide case) was recorded, creating a data point.

Result: The study generated 269 valid diagnostic data points. Out of the 269 data points, 257 were concordant (95.5% concordance), exceeding the CAP recommendation of 95% concordance. Thus, the network was successfully validated.

Conclusion: This is a unique validation study for a large nationwide digital pediatric pathology network. The study involved all pathologists/hospitals in the network, closely emulating real world clinical process. The network was successfully validated.

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来源期刊
CiteScore
3.70
自引率
5.30%
发文量
59
审稿时长
6-12 weeks
期刊介绍: The Journal covers the spectrum of disorders of early development (including embryology, placentology, and teratology), gestational and perinatal diseases, and all diseases of childhood. Studies may be in any field of experimental, anatomic, or clinical pathology, including molecular pathology. Case reports are published only if they provide new insights into disease mechanisms or new information.
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