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The status of digital pathology and associated infrastructure within Alzheimer's Disease Centers.

Authors :
Scalco R
Hamsafar Y
White CL
Schneider JA
Reichard RR
Prokop S
Perrin RJ
Nelson PT
Mooney S
Lieberman AP
Kukull WA
Kofler J
Keene CD
Kapasi A
Irwin DJ
Gutman DA
Flanagan ME
Crary JF
Chan KC
Murray ME
Dugger BN
Source :
Journal of neuropathology and experimental neurology [J Neuropathol Exp Neurol] 2023 Feb 21; Vol. 82 (3), pp. 202-211.
Publication Year :
2023

Abstract

Digital pathology (DP) has transformative potential, especially for Alzheimer disease and related disorders. However, infrastructure barriers may limit adoption. To provide benchmarks and insights into implementation barriers, a survey was conducted in 2019 within National Institutes of Health's Alzheimer's Disease Centers (ADCs). Questions covered infrastructure, funding sources, and data management related to digital pathology. Of the 35 ADCs to which the survey was sent, 33 responded. Most respondents (81%) stated that their ADC had digital slide scanner access, with the most frequent brand being Aperio/Leica (62.9%). Approximately a third of respondents stated there were fees to utilize the scanner. For DP and machine learning (ML) resources, 41% of respondents stated none was supported by their ADC. For scanner purchasing and operations, 50% of respondents stated they received institutional support. Some were unsure of the file size of scanned digital images (37%) and total amount of storage space files occupied (50%). Most (76%) were aware of other departments at their institution working with ML; a similar (76%) percentage were unaware of multiuniversity or industry partnerships. These results demonstrate many ADCs have access to a digital slide scanner; additional investigations are needed to further understand hurdles to implement DP and ML workflows.<br /> (© The Author(s) 2023. Published by Oxford University Press on behalf of American Association of Neuropathologists, Inc.)

Details

Language :
English
ISSN :
1554-6578
Volume :
82
Issue :
3
Database :
MEDLINE
Journal :
Journal of neuropathology and experimental neurology
Publication Type :
Academic Journal
Accession number :
36692179
Full Text :
https://doi.org/10.1093/jnen/nlac127