Confocal Laser Endomicroscopy in the Diagnosis of Biliary and Pancreatic Disorders: A Systematic Analysis.

Biliary stricture Cholangiocarcinoma Confocal microscopy Endoscopy Pancreatic cyst

Journal

Clinical endoscopy
ISSN: 2234-2400
Titre abrégé: Clin Endosc
Pays: Korea (South)
ID NLM: 101576886

Informations de publication

Date de publication:
Mar 2022
Historique:
received: 22 02 2021
accepted: 10 05 2021
pubmed: 29 11 2021
medline: 29 11 2021
entrez: 28 11 2021
Statut: ppublish

Résumé

Endoscopic visualization of the microscopic anatomy can facilitate the real-time diagnosis of pancreatobiliary disorders and provide guidance for treatment. This study aimed to review the technique, image classification, and diagnostic performance of confocal laser endomicroscopy (CLE). We conducted a systematic review of CLE in pancreatic and biliary ducts of humans, and have provided a narrative of the technique, image classification, diagnostic performance, ongoing research, and limitations. Probe-based CLE differentiates malignant from benign biliary strictures (sensitivity, ≥89%; specificity, ≥61%). Needlebased CLE differentiates mucinous from non-mucinous pancreatic cysts (sensitivity, 59%; specificity, ≥94%) and identifies dysplasia. Pancreatitis may develop in 2-7% of pancreatic cyst cases. Needle-based CLE has potential applications in adenocarcinoma, neuroendocrine tumors, and pancreatitis (chronic or autoimmune). Costs, catheter lifespan, endoscopist training, and interobserver variability are challenges for routine utilization. CLE reveals microscopic pancreatobiliary system anatomy with adequate specificity and sensitivity. Reducing costs and simplifying image interpretation will promote utilization by advanced endoscopists.

Sections du résumé

BACKGROUND/AIMS OBJECTIVE
Endoscopic visualization of the microscopic anatomy can facilitate the real-time diagnosis of pancreatobiliary disorders and provide guidance for treatment. This study aimed to review the technique, image classification, and diagnostic performance of confocal laser endomicroscopy (CLE).
METHODS METHODS
We conducted a systematic review of CLE in pancreatic and biliary ducts of humans, and have provided a narrative of the technique, image classification, diagnostic performance, ongoing research, and limitations.
RESULTS RESULTS
Probe-based CLE differentiates malignant from benign biliary strictures (sensitivity, ≥89%; specificity, ≥61%). Needlebased CLE differentiates mucinous from non-mucinous pancreatic cysts (sensitivity, 59%; specificity, ≥94%) and identifies dysplasia. Pancreatitis may develop in 2-7% of pancreatic cyst cases. Needle-based CLE has potential applications in adenocarcinoma, neuroendocrine tumors, and pancreatitis (chronic or autoimmune). Costs, catheter lifespan, endoscopist training, and interobserver variability are challenges for routine utilization.
CONCLUSION CONCLUSIONS
CLE reveals microscopic pancreatobiliary system anatomy with adequate specificity and sensitivity. Reducing costs and simplifying image interpretation will promote utilization by advanced endoscopists.

Identifiants

pubmed: 34839621
pii: ce.2021.079
doi: 10.5946/ce.2021.079
pmc: PMC8995979
doi:

Types de publication

Journal Article

Langues

eng

Pagination

197-207

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Auteurs

Do Han Kim (DH)

Universidad Francisco Marroquin, School of Medicine, Guatemala City, Guatemala.

Somashekar G Krishna (SG)

Division of Gastroenterology, Hepatology, and Nutrition, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.

Emmanuel Coronel (E)

Division of Gastroenterology and Hepatology, MD Anderson Cancer Center, Houston, Texas, USA.

Paul T Kröner (PT)

Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, USA.

Herbert C Wolfsen (HC)

Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, USA.

Michael B Wallace (MB)

Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, USA.

Juan E Corral (JE)

Division of Gastroenterology and Hepatology, Presbyterian Health Services, Albuquerque, New Mexico, USA.

Classifications MeSH