Affiliation:
1. National Taiwan University College of Medicine
2. National Taiwan University
3. Far Eastern University
4. Kaohsiung Armed Forces General Hospital
5. Tajen University
6. Dalin Tzu Chi Hospital
7. Hitspectra Intelligent Technology Co., Ltd.
Abstract
One of the leading causes of cancer deaths is esophageal cancer (EC)
because identifying it in early stage is challenging. Computer-aided
diagnosis (CAD) could detect the early stages of EC have been
developed in recent years. Therefore, in this study, complete
meta-analysis of selected studies that only uses hyperspectral imaging
to detect EC is evaluated in terms of their diagnostic test accuracy
(DTA). Eight studies are chosen based on the Quadas-2 tool results for
systematic DTA analysis, and each of the methods developed in these
studies is classified based on the nationality of the data, artificial
intelligence, the type of image, the type of cancer detected, and the
year of publishing. Deeks’ funnel plot, forest plot, and
accuracy charts were made. The methods studied in these articles show
the automatic diagnosis of EC has a high accuracy, but external
validation, which is a prerequisite for real-time clinical
applications, is lacking.
Funder
National Taiwan University
Hospital
Kaohsiung Armed Forces General
Hospital
National Science and Technology
Council
Subject
Atomic and Molecular Physics, and Optics,Biotechnology
Cited by
3 articles.
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