Computer-assisted assessment of colonic polyp histopathology using probe-based confocal laser endomicroscopy.

Journal: International journal of colorectal disease

Published Date: Nov 6, 2019

Abstract

INTRODUCTION: Probe-based confocal laser endomicroscopy (pCLE) is a promising modality for classifying polyp histology in vivo, but decision making in real-time is hampered by high-magnification targeting and by the learning curve for image interpretation. The aim of this study is to test the feasibility of a system combining the use of a low-magnification, wider field-of-view pCLE probe and a computer-assisted diagnosis (CAD) algorithm that automatically classifies colonic polyps.

Authors

Pushpak Taunk

Division of Digestive Diseases and Nutrition, University of South Florida Morsani College of Medicine, Tampa, FL, USA.
Christopher D Atkinson

Department of Medicine, Section of Gastroenterology, VA Boston Healthcare System, Boston, MA, USA.
David Lichtenstein

Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.
Eladio Rodriguez-Diaz
Satish K Singh

Department of Medicine, Section of Gastroenterology, VA Boston Healthcare System, Boston, MA, USA. Satish.Singh@va.gov.

Keywords

Aged Aged, 80 and over Clinical Competence Colonic Neoplasms Colonic Polyps Colonoscopy Diagnosis, Computer-Assisted Feasibility Studies Female Humans Image Interpretation, Computer-Assisted Machine Learning Male Microscopy, Confocal Middle Aged Observer Variation Predictive Value of Tests Reproducibility of Results Tumor Burden

External Resources

View on PubMed Access via DOI PubMed (31696259)

Computer-assisted assessment of colonic polyp histopathology using probe-based confocal laser endomicroscopy.

Abstract

Authors

Keywords

External Resources

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