» Articles » PMID: 22591912

Concordance Between Whole-slide Imaging and Light Microscopy for Routine Surgical Pathology

Overview
Journal Hum Pathol
Specialty Pathology
Date 2012 May 18
PMID 22591912
Citations 38
Authors
Affiliations
Soon will be listed here.
Abstract

The use of high-resolution digital images of histopathology slides as a routine diagnostic tool for surgical pathology was investigated. The study purpose was to determine the diagnostic concordance between pathologic interpretations using whole-slide imaging and standard light microscopy. Two hundred fifty-one consecutive surgical pathology cases (312 parts, 1085 slides) from a single pathology service were included in the study after cases had been signed out and reports generated. A broad array of diagnostic challenges and tissue sources were represented, including 52 neoplastic cases. All cases were digitized at ×20 and presented to 2 pathologists for diagnosis using whole-slide imaging as the sole diagnostic tool. Diagnoses rendered by the whole-slide imaging pathologists were compared with the original light microscopy diagnoses. Overall concordance between whole-slide imaging and light microscopy as determined by a third pathologist and jury panel was 96.5% (95% confidence interval, 94.8%-98.3%). Concordance between whole-slide imaging pathologists was 97.7% (95% confidence interval, 94.7%-99.2%). Five cases were discordant between the whole-slide imaging diagnosis and the original light microscopy diagnosis, of which 2 were clinically significant. Discordance resulted from interpretive criteria or diagnostic error. The whole-slide imaging modality did not contribute to diagnostic differences. Problems encountered by the whole-slide imaging pathologists primarily involved the inability to clearly visualize nuclear detail or microscopic organisms. Technical difficulties associated with image scanning required at least 1 slide be rescanned in 13% of the cases. Technical and operational issues associated with whole-slide imaging scanning devices used in this study were found to be the most significant obstacle to the use of whole-slide imaging in general surgical pathology.

Citing Articles

Digital pathology systems enabling quality patient care.

Hanna M, Ardon O Genes Chromosomes Cancer. 2023; 62(11):685-697.

PMID: 37458325 PMC: 11265285. DOI: 10.1002/gcc.23192.


Rapid Deployment of Whole Slide Imaging for Primary Diagnosis in Surgical Pathology at Stanford Medicine: Responding to Challenges of the COVID-19 Pandemic.

Rojansky R, Jhun I, Dussaq A, Chirieleison S, Nirschl J, Born D Arch Pathol Lab Med. 2022; 147(3):359-367.

PMID: 35802938 PMC: 9904534. DOI: 10.5858/arpa.2021-0438-OA.


Artificial Intelligence in Brain Tumour Surgery-An Emerging Paradigm.

Williams S, Layard Horsfall H, Funnell J, Hanrahan J, Khan D, Muirhead W Cancers (Basel). 2021; 13(19).

PMID: 34638495 PMC: 8508169. DOI: 10.3390/cancers13195010.


Integrating digital pathology into clinical practice.

Hanna M, Ardon O, Reuter V, Sirintrapun S, England C, Klimstra D Mod Pathol. 2021; 35(2):152-164.

PMID: 34599281 DOI: 10.1038/s41379-021-00929-0.


Diagnostic Pitfalls of Digital Microscopy Versus Light Microscopy in Gastrointestinal Pathology: A Systematic Review.

Shi W, Georgiou P, Akram A, Proute M, Serhiyenia T, Kerolos M Cureus. 2021; 13(8):e17116.

PMID: 34548958 PMC: 8437006. DOI: 10.7759/cureus.17116.