Digital Biopsy with Fluorescence Confocal Microscope for Effective Real-time Diagnosis of Prostate Cancer: A Prospective, Comparative Study.


Journal

European urology oncology
ISSN: 2588-9311
Titre abrégé: Eur Urol Oncol
Pays: Netherlands
ID NLM: 101724904

Informations de publication

Date de publication:
10 2021
Historique:
received: 01 06 2020
revised: 10 08 2020
accepted: 20 08 2020
pubmed: 22 9 2020
medline: 2 2 2022
entrez: 21 9 2020
Statut: ppublish

Résumé

A microscopic analysis of tissue is the gold standard for cancer detection. Hematoxylin-eosin (HE) for the reporting of prostate biopsy (PB) is conventionally based on fixation, processing, acquisition of glass slides, and analysis with an analog microscope by a local pathologist. Digitalization and real-time remote access to images could enhance the reporting process, and form the basis of artificial intelligence and machine learning. Fluorescence confocal microscopy (FCM), a novel optical technology, enables immediate digital image acquisition in an almost HE-like resolution without requiring conventional processing. The aim of this study is to assess the diagnostic ability of FCM for prostate cancer (PCa) identification and grading from PB. This is a prospective, comparative study evaluating FCM and HE for prostate tissue interpretation. PBs were performed (March to June 2019) at a single coordinating unit on consecutive patients with clinical and laboratory indications for assessment. FCM digital images (n = 427) were acquired immediately from PBs (from 54 patients) and stored; corresponding glass slides (n = 427) undergoing the conventional HE processing were digitalized and stored as well. A panel of four international pathologists with diverse background participated in the study and was asked to evaluate all images. The pathologists had no FCM expertise and were blinded to clinical data, HE interpretation, and each other's evaluation. All images, FCM and corresponding HE, were assessed for the presence or absence of cancer tissue and cancer grading, when appropriate. Reporting was gathered via a dedicated web platform. The primary endpoint is to evaluate the ability of FCM to identify cancer tissue in PB cores (per-slice analysis). FCM outcomes are interpreted by agreement level with HE (K value). Additionally, either FCM or HE outcomes are assessed with interobserver agreement for cancer detection (presence vs absence of cancer) and for the discrimination between International Society of Urologic Pathologists (ISUP) grade = 1 and ISUP grade > 1 (secondary endpoint). Overall, 854 images were evaluated from each pathologist. PCa detection of FCM was almost perfectly aligned with HE final reports (95.1% of correct diagnosis with FCM, κ = 0.84). Inter-rater agreement between pathologists was almost perfect for both HE and FCM for PCa detection (0.98 for HE, κ = 0.95; 0.95 for FCM, κ = 0.86); for cancer grade attribution, only a moderate agreement was reached for both HE and FCM (HE, κ = 0.47; FCM, κ = 0.49). FCM provides a microscopic, immediate, and seemingly reliable diagnosis for PCa. The real-time acquisition of digital images-without requiring conventional processing-offers opportunities for immediate sharing and reporting. FCM is a promising tool for improvements in cancer diagnostic pathways. Fluorescence confocal microscopy may provide an immediate, microscopic, and apparently reliable diagnosis of prostate cancer on prostate biopsy, overcoming the standard turnaround time of conventional processing and interpretation.

Sections du résumé

BACKGROUND
A microscopic analysis of tissue is the gold standard for cancer detection. Hematoxylin-eosin (HE) for the reporting of prostate biopsy (PB) is conventionally based on fixation, processing, acquisition of glass slides, and analysis with an analog microscope by a local pathologist. Digitalization and real-time remote access to images could enhance the reporting process, and form the basis of artificial intelligence and machine learning. Fluorescence confocal microscopy (FCM), a novel optical technology, enables immediate digital image acquisition in an almost HE-like resolution without requiring conventional processing.
OBJECTIVE
The aim of this study is to assess the diagnostic ability of FCM for prostate cancer (PCa) identification and grading from PB.
DESIGN, SETTING, AND PARTICIPANTS
This is a prospective, comparative study evaluating FCM and HE for prostate tissue interpretation. PBs were performed (March to June 2019) at a single coordinating unit on consecutive patients with clinical and laboratory indications for assessment. FCM digital images (n = 427) were acquired immediately from PBs (from 54 patients) and stored; corresponding glass slides (n = 427) undergoing the conventional HE processing were digitalized and stored as well. A panel of four international pathologists with diverse background participated in the study and was asked to evaluate all images. The pathologists had no FCM expertise and were blinded to clinical data, HE interpretation, and each other's evaluation. All images, FCM and corresponding HE, were assessed for the presence or absence of cancer tissue and cancer grading, when appropriate. Reporting was gathered via a dedicated web platform.
OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS
The primary endpoint is to evaluate the ability of FCM to identify cancer tissue in PB cores (per-slice analysis). FCM outcomes are interpreted by agreement level with HE (K value). Additionally, either FCM or HE outcomes are assessed with interobserver agreement for cancer detection (presence vs absence of cancer) and for the discrimination between International Society of Urologic Pathologists (ISUP) grade = 1 and ISUP grade > 1 (secondary endpoint).
RESULTS AND LIMITATIONS
Overall, 854 images were evaluated from each pathologist. PCa detection of FCM was almost perfectly aligned with HE final reports (95.1% of correct diagnosis with FCM, κ = 0.84). Inter-rater agreement between pathologists was almost perfect for both HE and FCM for PCa detection (0.98 for HE, κ = 0.95; 0.95 for FCM, κ = 0.86); for cancer grade attribution, only a moderate agreement was reached for both HE and FCM (HE, κ = 0.47; FCM, κ = 0.49).
CONCLUSIONS
FCM provides a microscopic, immediate, and seemingly reliable diagnosis for PCa. The real-time acquisition of digital images-without requiring conventional processing-offers opportunities for immediate sharing and reporting. FCM is a promising tool for improvements in cancer diagnostic pathways.
PATIENT SUMMARY
Fluorescence confocal microscopy may provide an immediate, microscopic, and apparently reliable diagnosis of prostate cancer on prostate biopsy, overcoming the standard turnaround time of conventional processing and interpretation.

Identifiants

pubmed: 32952095
pii: S2588-9311(20)30136-X
doi: 10.1016/j.euo.2020.08.009
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

784-791

Informations de copyright

Copyright © 2020 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Auteurs

Bernardo Rocco (B)

Department of Urology, Ospedale Policlinico e Nuovo Ospedale Civile S.Agostino Estense Modena, University of Modena and Reggio Emilia, Modena, Italy.

Maria Chiara Sighinolfi (MC)

Department of Urology, Ospedale Policlinico e Nuovo Ospedale Civile S.Agostino Estense Modena, University of Modena and Reggio Emilia, Modena, Italy. Electronic address: sighinolfic@yahoo.com.

Marco Sandri (M)

Data Methods and Systems Statistical Laboratory, University of Brescia, Brescia, Italy.

Valentina Spandri (V)

School of Medicine and Surgery, University of Modena and Reggio Emilia, Modena, Italy.

Alessia Cimadamore (A)

Department of Pathology, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy.

Metka Volavsek (M)

Department of Pathology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.

Roberta Mazzucchelli (R)

Department of Pathology, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy.

Antonio Lopez-Beltran (A)

Department of Pathology, University of Cordoba, Cordoba, Spain.

Ahmed Eissa (A)

Department of Urology, Ospedale Policlinico e Nuovo Ospedale Civile S.Agostino Estense Modena, University of Modena and Reggio Emilia, Modena, Italy; Urology Department, Faculty of Medicine, Tanta University, Tanta, Egypt.

Laura Bertoni (L)

Department of Human Anatomy, University of Modena and Reggio Emilia, Modena, Italy.

Paola Azzoni (P)

Department of Human Anatomy, University of Modena and Reggio Emilia, Modena, Italy.

Luca Reggiani Bonetti (L)

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

Antonino Maiorana (A)

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

Stefano Puliatti (S)

Department of Urology, Ospedale Policlinico e Nuovo Ospedale Civile S.Agostino Estense Modena, University of Modena and Reggio Emilia, Modena, Italy.

Salvatore Micali (S)

Department of Urology, Ospedale Policlinico e Nuovo Ospedale Civile S.Agostino Estense Modena, University of Modena and Reggio Emilia, Modena, Italy.

Maurizio Paterlini (M)

Department of Urology, Ospedale Policlinico e Nuovo Ospedale Civile S.Agostino Estense Modena, University of Modena and Reggio Emilia, Modena, Italy.

Andrea Iseppi (A)

Department of Urology, Ospedale Policlinico e Nuovo Ospedale Civile S.Agostino Estense Modena, University of Modena and Reggio Emilia, Modena, Italy.

Francesco Rocco (F)

Columbus Clinic, Milan, Italy.

Giovanni Pellacani (G)

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

Johanna Chester (J)

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

Giampaolo Bianchi (G)

Department of Urology, Ospedale Policlinico e Nuovo Ospedale Civile S.Agostino Estense Modena, University of Modena and Reggio Emilia, Modena, Italy.

Rodolfo Montironi (R)

Section of Pathological Anatomy, Polytechnic University of the Marche Region, School of Medicine, United Hospitals, Ancona, Italy.

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