Volume 30, Issue 7 pp. 1155-1160
Gastroenterology

In vivo classification of colorectal neoplasia using high-resolution microendoscopy: Improvement with experience

Neil D Parikh

Neil D Parikh

Division of Digestive Diseases, Yale New Haven Hospital, New Haven, Connecticut, USA

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Daniel Perl

Daniel Perl

Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA

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Michelle H Lee

Michelle H Lee

Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York, USA

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Shannon S Chang

Shannon S Chang

Division of Gastroenterology, New York University Langone Medical Center, New York, New York, USA

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Alexandros D Polydorides

Alexandros D Polydorides

Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, USA

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Erin Moshier

Erin Moshier

Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA

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James Godbold

James Godbold

Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA

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Elinor Zhou

Elinor Zhou

Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA

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Josephine Mitcham

Josephine Mitcham

Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York, USA

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Rebecca Richards-Kortum

Rebecca Richards-Kortum

Department of Bioengineering, Rice University, Houston, Texas, USA

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Sharmila Anandasabapathy

Corresponding Author

Sharmila Anandasabapathy

Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, New York, USA

Correspondence

Dr Sharmila Anandasabapathy, Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, Annenberg Building Floor 7 Room 48, 1468 Madison Avenue, New York, NY 10029, USA. Email: [email protected]

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First published: 09 March 2015
Citations: 8

Abstract

Background and Aims

High-resolution microendoscopy (HRME) is a novel, low-cost “optical biopsy” technology that allows for subcellular imaging. The study aim was to evaluate the learning curve of HRME for the differentiation of neoplastic from non-neoplastic colorectal polyps.

Methods

In a prospective cohort fashion, a total of 162 polyps from 97 patients at a single tertiary care center were imaged by HRME and classified in real time as neoplastic (adenomatous, cancer) or non-neoplastic (normal, hyperplastic, inflammatory). Histopathology was the gold standard for comparison. Diagnostic accuracy was examined at three intervals over time throughout the study; the initial interval included the first 40 polyps, the middle interval included the next 40 polyps examined, and the final interval included the last 82 polyps examined.

Results

Sensitivity increased significantly from the initial interval (50%) to the middle interval (94%, P = 0.02) and the last interval (97%, P = 0.01). Similarly, specificity was 69% for the initial interval but increased to 92% (P = 0.07) in the middle interval and 96% (P = 0.02) in the last interval. Overall accuracy was 63% for the initial interval and then improved to 93% (P = 0.003) in the middle interval and 96% (P = 0.0007) in the last interval.

Conclusions

In conclusion, this in vivo study demonstrates that an endoscopist without prior colon HRME experience can achieve greater than 90% accuracy for identifying neoplastic colorectal polyps after 40 polyps imaged. HRME is a promising modality to complement white light endoscopy in differentiating neoplastic from non-neoplastic colorectal polyps.

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