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. 2023 Jul 31;14(8):4383-4405.
doi: 10.1364/BOE.492635. eCollection 2023 Aug 1.

Systematic meta-analysis of computer-aided detection to detect early esophageal cancer using hyperspectral imaging

Wei-Chih Liao  1   2 , Arvind Mukundan  3 , Cleorita Sadiaza  4 , Yu-Ming Tsao  3 , Chien-Wei Huang  5   6   7 , Hsiang-Chen Wang  3   8   9   10
Affiliations

Systematic meta-analysis of computer-aided detection to detect early esophageal cancer using hyperspectral imaging

Wei-Chih Liao et al. Biomed Opt Express. .

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.

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Conflict of interest statement

The authors declare no conflict of interest

Figures

Fig. 1.
Fig. 1.
SROC curve of the studies. Different number represents the index number of the study. AUC = 0.686. SROC curve based on Sensitivity and Specificity of CAD Methods. The number points to the study index of the study. (For study index refer to Table 5).
Fig. 2.
Fig. 2.
Overall Accuracy Performance of CAD Methods. Different colors represent the methods used in the study
Fig. 3.
Fig. 3.
Univariable Meta-Regression of Different Sub-Group Analysis including Nationality, Image Type, AI, EC Type and Published Year (a) Sensitivity (b) Specificity
Fig. 4.
Fig. 4.
Deeks’ Funnel Plot for Studies of the studies used in the meta-analysis.
See this image and copyright information in PMC

Update of

  • doi: 10.1364/opticaopen.23664717.

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