Background and Aims
Endoscopy guidelines recommend adhering to policies such as resect and discard only
if the optical biopsy is accurate. However, accuracy in predicting histology can vary
greatly. Computer-aided diagnosis (CAD) for characterization of colorectal lesions
may help with this issue. In this study, CAD software developed at the University
of Adelaide (Australia) that includes serrated polyp differentiation was validated
with Japanese images on narrow-band imaging (NBI) and blue-laser imaging (BLI).
Methods
CAD software developed using machine learning and densely connected convolutional
neural networks was modeled with NBI colorectal lesion images (Olympus 190 series
- Australia) and validated for NBI (Olympus 290 series) and BLI (Fujifilm 700 series)
with Japanese datasets. All images were correlated with histology according to the
modified Sano classification. The CAD software was trained with Australian NBI images
and tested with separate sets of images from Australia (NBI) and Japan (NBI and BLI).
Results
An Australian dataset of 1235 polyp images was used as training, testing, and internal
validation sets. A Japanese dataset of 20 polyp images on NBI and 49 polyp images
on BLI was used as external validation sets. The CAD software had a mean area under
the curve (AUC) of 94.3% for the internal set and 84.5% and 90.3% for the external
sets (NBI and BLI, respectively).
Conclusions
The CAD achieved AUCs comparable with experts and similar results with NBI and BLI.
Accurate CAD prediction was achievable, even when the predicted endoscopy imaging
technology was not part of the training set.
Abbreviations:
ASGE (American Society for Gastrointestinal Endoscopy), AUC (area under the curve), BLI (blue-laser imaging), CAD (computer-aided diagnosis), CI (confidence interval), CNN (convolutional neural network), CRC (colorectal cancer), HP (hyperplastic polyp), MS (modified Sano), NBI (narrow-band imaging), SSA/P (sessile serrated adenoma/polyp), WASP (Workgroup on Serrated Polyps and Polyposis)To read this article in full you will need to make a payment
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Article info
Publication history
Published online: March 04, 2020
Accepted:
February 19,
2020
Received:
December 11,
2019
Footnotes
If you would like to chat with an author of this article, you may contact Dr Zorron Cheng Tao Pu at [email protected]
DISCLOSURE: All authors disclosed no financial relationships relevant to this publication.
Identification
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© 2020 by the American Society for Gastrointestinal Endoscopy
