TY - JOUR
T1 - Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis
AU - van der Zander, Quirine E.W.
AU - Schreuder, Ramon-Michel
AU - Fonollà, Roger
AU - Scheeve, Thom
AU - van der Sommen, Fons
AU - Winkens, Bjorn
AU - Aepli, Patrick
AU - Hayee, Bu'Hussain
AU - Pischel, Andreas-Bernd
AU - Stefanovič, Milan
AU - Subramaniam, Sharmila
AU - Bhandari, Pradeep
AU - de With, Peter H.N.
AU - Masclee, Ad A.M.
AU - Schoon, Erik J.
N1 - Funding Information:
M. Stefanovic has received speaker fees from Fujifilm Inc. S.Subrama-niam has received speaker fees from Fujifilm Inc. P. Bhandari has received research grants and speaker fees from Olympus, Fujifilm, Pen-tax, 3-D matrix, and Boston Scientific. A.A.M. Masclee has received a health care efficiency grant from ZON MW (Organization for Health Research and Development, The Netherlands), an unrestricted research grant from Will Pharma S.A., Research funding from Allegan and Grünenthal. He has also provided scientific advice to Bayer, Kyo-wa Kirin, and Takeda, and received a research grant from Pentax Europe GmBH and the Dutch Cancer Society. E.J. Schoon has received speaker fees and financial support to conduct research from Fujifilm Inc. All other authors declare that they have no conflicts of interest.
Publisher Copyright:
© 2021 American Institute of Physics Inc.. All rights reserved.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - BACKGROUND: Optical diagnosis of colorectal polyps remains challenging. Image-enhancement techniques such as narrow-band imaging and blue-light imaging (BLI) can improve optical diagnosis. We developed and prospectively validated a computer-aided diagnosis system (CADx) using high-definition white-light (HDWL) and BLI images, and compared the system with the optical diagnosis of expert and novice endoscopists.METHODS: CADx characterized colorectal polyps by exploiting artificial neural networks. Six experts and 13 novices optically diagnosed 60 colorectal polyps based on intuition. After 4 weeks, the same set of images was permuted and optically diagnosed using the BLI Adenoma Serrated International Classification (BASIC).RESULTS: CADx had a diagnostic accuracy of 88.3 % using HDWL images and 86.7 % using BLI images. The overall diagnostic accuracy combining HDWL and BLI (multimodal imaging) was 95.0 %, which was significantly higher than that of experts (81.7 %,
P = 0.03) and novices (66.7 %,
P < 0.001). Sensitivity was also higher for CADx (95.6 % vs. 61.1 % and 55.4 %), whereas specificity was higher for experts compared with CADx and novices (95.6 % vs. 93.3 % and 93.2 %). For endoscopists, diagnostic accuracy did not increase when using BASIC, either for experts (intuition 79.5 % vs. BASIC 81.7 %,
P = 0.14) or for novices (intuition 66.7 % vs. BASIC 66.5 %,
P = 0.95).
CONCLUSION: CADx had a significantly higher diagnostic accuracy than experts and novices for the optical diagnosis of colorectal polyps. Multimodal imaging, incorporating both HDWL and BLI, improved the diagnostic accuracy of CADx. BASIC did not increase the diagnostic accuracy of endoscopists compared with intuitive optical diagnosis.
AB - BACKGROUND: Optical diagnosis of colorectal polyps remains challenging. Image-enhancement techniques such as narrow-band imaging and blue-light imaging (BLI) can improve optical diagnosis. We developed and prospectively validated a computer-aided diagnosis system (CADx) using high-definition white-light (HDWL) and BLI images, and compared the system with the optical diagnosis of expert and novice endoscopists.METHODS: CADx characterized colorectal polyps by exploiting artificial neural networks. Six experts and 13 novices optically diagnosed 60 colorectal polyps based on intuition. After 4 weeks, the same set of images was permuted and optically diagnosed using the BLI Adenoma Serrated International Classification (BASIC).RESULTS: CADx had a diagnostic accuracy of 88.3 % using HDWL images and 86.7 % using BLI images. The overall diagnostic accuracy combining HDWL and BLI (multimodal imaging) was 95.0 %, which was significantly higher than that of experts (81.7 %,
P = 0.03) and novices (66.7 %,
P < 0.001). Sensitivity was also higher for CADx (95.6 % vs. 61.1 % and 55.4 %), whereas specificity was higher for experts compared with CADx and novices (95.6 % vs. 93.3 % and 93.2 %). For endoscopists, diagnostic accuracy did not increase when using BASIC, either for experts (intuition 79.5 % vs. BASIC 81.7 %,
P = 0.14) or for novices (intuition 66.7 % vs. BASIC 66.5 %,
P = 0.95).
CONCLUSION: CADx had a significantly higher diagnostic accuracy than experts and novices for the optical diagnosis of colorectal polyps. Multimodal imaging, incorporating both HDWL and BLI, improved the diagnostic accuracy of CADx. BASIC did not increase the diagnostic accuracy of endoscopists compared with intuitive optical diagnosis.
UR - http://www.scopus.com/inward/record.url?scp=85102513459&partnerID=8YFLogxK
U2 - 10.1055/a-1343-1597
DO - 10.1055/a-1343-1597
M3 - Article
C2 - 33368056
AN - SCOPUS:85102513459
SN - 0013-726X
VL - 53
SP - 1219
EP - 1226
JO - Endoscopy
JF - Endoscopy
IS - 12
ER -