Quantitative analysis of high-resolution microendoscopic images for diagnosis of neoplasia in patients with Barrett’s esophagus - 02/06/16
Abstract |
Background and Aims |
Previous studies show that microendoscopic images can be interpreted visually to identify the presence of neoplasia in patients with Barrett’s esophagus (BE), but this approach is subjective and requires clinical expertise. This study describes an approach for quantitative image analysis of microendoscopic images to identify neoplastic lesions in patients with BE.
Methods |
Images were acquired from 230 sites from 58 patients by using a fiberoptic high-resolution microendoscope during standard endoscopic procedures. Images were analyzed by a fully automated image processing algorithm, which automatically selected a region of interest and calculated quantitative image features. Image features were used to develop an algorithm to identify the presence of neoplasia; results were compared with a histopathology diagnosis.
Results |
A sequential classification algorithm that used image features related to glandular and cellular morphology resulted in a sensitivity of 84% and a specificity of 85%. Applying the algorithm to an independent validation set resulted in a sensitivity of 88% and a specificity of 85%.
Conclusions |
This pilot study demonstrates that automated analysis of microendoscopic images can provide an objective, quantitative framework to assist clinicians in evaluating esophageal lesions from patients with BE. (Clinical trial registration number: NCT01384227 and NCT02018367.)
Le texte complet de cet article est disponible en PDF.Abbreviations : BE, HRME
Plan
| DISCLOSURE: Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under award R01CA140257 and the National Institute of Biomedical Imaging and Bioengineering under award R01EB007594. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute, the National Institute of Biomedical Imaging and Bioengineering, or the National Institutes of Health. All authors disclosed no financial relationships relevant to this publication. |
Vol 83 - N° 1
P. 107-114 - janvier 2016 Retour au numéro
Article précédent
- Randomized controlled trial of self-directed versus in-classroom teaching of narrow-band imaging for diagnosis of Barrett’s esophagus–associated neoplasia
- Claire Daly, Prashanth Vennalaganti, Samad Soudagar, Ben Hornung, Prateek Sharma, Neil Gupta
- A new paradigm shift in endoscopy: From interpretation to automated image analysis?
- Wouter L. Curvers, Jacques J. Bergman
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