Validation of a whole slide image management system for metabolic-associated steatohepatitis for clinical trials.


Journal

The journal of pathology. Clinical research
ISSN: 2056-4538
Titre abrégé: J Pathol Clin Res
Pays: England
ID NLM: 101658534

Informations de publication

Date de publication:
Sep 2024
Historique:
revised: 04 07 2024
received: 01 09 2023
accepted: 15 07 2024
medline: 19 9 2024
pubmed: 19 9 2024
entrez: 19 9 2024
Statut: ppublish

Résumé

The gold standard for enrollment and endpoint assessment in metabolic dysfunction-associated steatosis clinical trials is histologic assessment of a liver biopsy performed on glass slides. However, obtaining the evaluations from several expert pathologists on glass is challenging, as shipping the slides around the country or around the world is time-consuming and comes with the hazards of slide breakage. This study demonstrated that pathologic assessment of disease activity in steatohepatitis, performed using digital images on the AISight whole slide image management system, yields results that are comparable to those obtained using glass slides. The accuracy of scoring for steatohepatitis (nonalcoholic fatty liver disease activity score ≥4 with ≥1 for each feature and absence of atypical features suggestive of other liver disease) performed on the system was evaluated against scoring conducted on glass slides. Both methods were assessed for overall percent agreement with a consensus "ground truth" score (defined as the median score of a panel of three pathologists' glass slides). Each case was also read by three different pathologists, once on glass and once digitally with a minimum 2-week washout period between the modalities. It was demonstrated that the average agreement across three pathologists of digital scoring with ground truth was noninferior to the average agreement of glass scoring with ground truth [noninferiority margin: -0.05; difference: -0.001; 95% CI: (-0.027, 0.026); and p < 0.0001]. For each pathologist, there was a similar average agreement of digital and glass reads with glass ground truth (pathologist A, 0.843 and 0.849; pathologist B, 0.633 and 0.605; and pathologist C, 0.755 and 0.780). Here, we demonstrate that the accuracy of digital reads for steatohepatitis using digital images is equivalent to glass reads in the context of a clinical trial for scoring using the Clinical Research Network scoring system.

Identifiants

pubmed: 39294925
doi: 10.1002/2056-4538.12395
doi:

Types de publication

Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

e12395

Subventions

Organisme : PathAI, Inc

Informations de copyright

© 2024 PathAI. The Journal of Pathology: Clinical Research published by The Pathological Society of Great Britain and Ireland and John Wiley & Sons Ltd.

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Auteurs

Hanna Pulaski (H)

PathAI, Inc, Boston, MA, USA.

Shraddha S Mehta (SS)

PathAI, Inc, Boston, MA, USA.

Laryssa C Manigat (LC)

PathAI, Inc, Boston, MA, USA.

Stephanie Kaufman (S)

PathAI, Inc, Boston, MA, USA.

Hypatia Hou (H)

PathAI, Inc, Boston, MA, USA.

ILKe Nalbantoglu (I)

Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.

Xuchen Zhang (X)

Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.

Emily Curl (E)

Foundation Medicine, Inc, Boston, MA, USA.

Ross Taliano (R)

Department of Pathology, Rhode Island Hospital, Providence, RI, USA.

Tae Hun Kim (TH)

Pathology Medical Group of Riverside, Providence, RI, USA.

Michael Torbenson (M)

Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.

Jonathan N Glickman (JN)

PathAI, Inc, Boston, MA, USA.

Murray B Resnick (MB)

PathAI, Inc, Boston, MA, USA.

Neel Patel (N)

PathAI, Inc, Boston, MA, USA.

Cristin E Taylor (CE)

PathAI, Inc, Boston, MA, USA.

Pierre Bedossa (P)

Liverpat and University of Paris, Paris, France.

Michael C Montalto (MC)

PathAI, Inc, Boston, MA, USA.

Andrew H Beck (AH)

PathAI, Inc, Boston, MA, USA.

Katy E Wack (KE)

PathAI, Inc, Boston, MA, USA.

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