New digital confocal laser microscopy may boost real-time evaluation of endoscopic ultrasound-guided fine-needle biopsy (EUS-FNB) from solid pancreatic lesions: Data from an international multicenter study.

Digital pathology EUS-FNB Ex-vivo fluorescence confocal laser microscopy Inter-observer agreement Multicenter study Pancreatic cancer

Journal

EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 23 06 2022
revised: 07 11 2022
accepted: 07 11 2022
pubmed: 28 11 2022
medline: 21 12 2022
entrez: 27 11 2022
Statut: ppublish

Résumé

Pancreatic cancer is an aggressive malignancy and a leading cause of cancer death worldwide; its lethality is partly linked to the difficulty of early diagnosis. Modern devices for endoscopic ultrasound-guided fine-needle biopsy (EUS-FNB) were recently developed to improve targeting and sampling of small lesions, but innovative technologies for microscopic assessment are still lacking. Ex vivo fluorescence confocal laser microscopy (FCM) is a new digital tool for real-time microscopic assessment of fresh unfixed biological specimens, avoiding conventional histological slide preparation and potentially being highly appealing for EUS-FNB specimens. This study evaluated the possible role of FCM for immediate evaluation of pancreatic specimens from EUS-FNB. It involved comparison of the interobserver agreement between the new method and standard histological analysis during international multicenter sharing of digital images. Digital images from 25 cases of EUS-FNB obtained with real-time FCM technology and 25 paired digital whole-slide images from permanent conventional paraffin sections were observed by 10 pathologists from different Institutions in Europe, Japan, and the United States, in a blinded manner. The study evaluated 500 observations regarding adequacy, morphological clues, diagnostic categories, and final diagnosis. Statistical analysis showed substantial equivalence in the interobserver agreement among pathologists using the two techniques. There was also good inter-test agreement in determining sample adequacy and when assigning a diagnostic category. Among morphological features, nuclear enlargement was the most reproducible clue, with very good inter-test agreement. Findings in this study are from international multicenter digital sharing and are published here for the first time. Considering the advantages of FCM digital diagnostics in terms of reduced time and unaltered sample maintenance, the ex vivo confocal laser microscopy may effectively improve traditional EUS-FNB diagnostics, with significant implications for planning modern diagnostic workflow for pancreatic tumors. This study was not supported by any funding source.

Sections du résumé

BACKGROUND BACKGROUND
Pancreatic cancer is an aggressive malignancy and a leading cause of cancer death worldwide; its lethality is partly linked to the difficulty of early diagnosis. Modern devices for endoscopic ultrasound-guided fine-needle biopsy (EUS-FNB) were recently developed to improve targeting and sampling of small lesions, but innovative technologies for microscopic assessment are still lacking. Ex vivo fluorescence confocal laser microscopy (FCM) is a new digital tool for real-time microscopic assessment of fresh unfixed biological specimens, avoiding conventional histological slide preparation and potentially being highly appealing for EUS-FNB specimens.
METHODS METHODS
This study evaluated the possible role of FCM for immediate evaluation of pancreatic specimens from EUS-FNB. It involved comparison of the interobserver agreement between the new method and standard histological analysis during international multicenter sharing of digital images. Digital images from 25 cases of EUS-FNB obtained with real-time FCM technology and 25 paired digital whole-slide images from permanent conventional paraffin sections were observed by 10 pathologists from different Institutions in Europe, Japan, and the United States, in a blinded manner. The study evaluated 500 observations regarding adequacy, morphological clues, diagnostic categories, and final diagnosis.
FINDINGS RESULTS
Statistical analysis showed substantial equivalence in the interobserver agreement among pathologists using the two techniques. There was also good inter-test agreement in determining sample adequacy and when assigning a diagnostic category. Among morphological features, nuclear enlargement was the most reproducible clue, with very good inter-test agreement.
INTERPRETATION CONCLUSIONS
Findings in this study are from international multicenter digital sharing and are published here for the first time. Considering the advantages of FCM digital diagnostics in terms of reduced time and unaltered sample maintenance, the ex vivo confocal laser microscopy may effectively improve traditional EUS-FNB diagnostics, with significant implications for planning modern diagnostic workflow for pancreatic tumors.
FUNDING BACKGROUND
This study was not supported by any funding source.

Identifiants

pubmed: 36436280
pii: S2352-3964(22)00559-X
doi: 10.1016/j.ebiom.2022.104377
pmc: PMC9706538
pii:
doi:

Types de publication

Multicenter Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104377

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests AC and CT are co-authors of a patent issued owned by 50% UCS Diagnostics srl (Italy) and 50% University Campus Bio-Medico (Rome, Italy). The other authors declare no competing interest.

Auteurs

Isabel Amendoeira (I)

Serviço de Anatomia Patológica, Centro Hospitalar Universitário de S. João (CHUSJ) and Ipatimup, Porto, Portugal.

Paolo Giorgio Arcidiacono (PG)

Bilio-Pancreatic and Endosonography Unit, IRCCS Ospedale San Raffaele di Milano, Italy.

Jessica Barizzi (J)

Istituto Cantonale di Patologia, Locarno, Switzerland.

Arrigo Capitanio (A)

Department of Clinical Pathology, and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.

Miriam Cuatrecasas (M)

Pathology Department, Center of Biomedical Diagnosis (CDB), Hospital Clínic, University of Barcelona, IDIBAPS, Spain.

Francesco Maria Di Matteo (FM)

Endoscopic Unit, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.

Claudio Doglioni (C)

Department of Pathology, San Raffaele Scientific Institute, Milan, Italy.

Noriyoshi Fukushima (N)

Department of Pathology, Jichi Medical University, Shimotsuke, Tochigi, 329-0498, Japan.

Franco Fulciniti (F)

Istituto Cantonale di Patologia, Locarno, Switzerland.

Angels Ginès (A)

Endoscopy Unit. ICMDM, Hospital Clínic. Barcelona, Spain.

Marc Giovannini (M)

Chief of Gastroenterology Department at Paoli-Calmettes Institute, France.

Li Zaibo (L)

Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.

Joanne Lopes (J)

Serviço de Anatomia Patológica, Centro Hospitalar Universitário de S. João (CHUSJ) and Ipatimup, Porto, Portugal.

Giovanni Lujan (G)

Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.

Alice Parisi (A)

Department of Pathology, Azienda Ospedaliera Universitaria Integrata di Verona, Verona Italy.

Flora Poizat (F)

Department of Biopathology, Institut Paoli-Calmettes, Marseille, France.

Luca Reggiani Bonetti (L)

Department of Pathology, University of Modena and Reggio Emilia, Modena, Italy.

Serena Stigliano (S)

Endoscopic Unit, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.

Chiara Taffon (C)

Unit of Pathology of Endocrine Organs and Neuro-muscolar Pathology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.

Martina Verri (M)

Unit of Pathology of Endocrine Organs and Neuro-muscolar Pathology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.

Anna Crescenzi (A)

Unit of Pathology of Endocrine Organs and Neuro-muscolar Pathology, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy. Electronic address: a.crescenzi@policlinicocampus.it.

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Classifications MeSH