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Copyright ©The Author(s) 2022.
Artif Intell Cancer. Apr 28, 2022; 3(2): 17-26
Published online Apr 28, 2022. doi: 10.35713/aic.v3.i2.17
Table 1 Studies involving computer-aided diagnosis for early gastric cancer detection
Ref.
Study design
Endoscopic modality
Main study aim
Subjects for validation
Kubota et al[53], 2012RetrospectiveWLIPrediction of invasion depth344 patients
Miyaki et al[63], 2013RetrospectiveME-FICEDifferentiation of cancerous areas from non-cancerous areas46 patients
Miyaki et al[64], 2015RetrospectiveME-BLIDifferentiation of cancerous areas from non-cancerous areas95 patients
Kanesaka et al[65], 2018RetrospectiveME-NBIDelineation of cancerous areas81 images
Hirasawa et al[14], 2018RetrospectiveWLI, CE, NBIDelineation of cancer69 patients
Zhu et al[54], 2019RetrospectiveWLI, NBIPrediction of invasion depth203 lesions
Cho et al[50], 2019Prospective validation datasetWLIDifferentiation of cancerous areas from non-cancerous areas200 patients
Ishioka et al[55], 2019RetrospectiveWLIDetection of GC62 patients
Yoon et al[56], 2019RetrospectiveWLIDetection of GC800 patients
Tang et al[57], 2020RetrospectiveWLIDifferentiation of cancerous areas from non-cancerous areas279 patients
Namikawa et al[58], 2020RetrospectiveWLIDifferentiation of cancerous areas from non-cancerous areas220 lesions
Li et al[66], 2020RetrospectiveME-NBIDetection of cancer341 images
An et al[62], 2020RetrospectiveWLI, CE, ME-NBIDelineation of EGC margins355 images
Horiuki et al[67], 2020RetrospectiveME-NBIDifferentiation of cancerous areas from non-cancerous areas258 images
Nagao et al[45], 2020RetrospectiveWLI, CE, NBIPrediction of invasion depth of GC1084 GC
Wu et al[52], 2021ProspectiveWLIDetection of Blind spotsAnd early gastric cancer1050 patients
Ueyama et al[59], 2021RetrospectiveME-NBIDifferentiation of cancerous areas from non-cancerous areas2300 images
Ling et al[48], 2021RetrospectiveME-NBIDifferentiation status and margins for EGC139 + 58 + 87 EGCs
Ikenoyama et al[46], 2021RetrospectiveWLI, CE, NBIDetection of cancer140 lesions
Hu et al[68], 2021RetrospectiveME-NBIDetection of cancer295 lesions
Oura et al[60], 2021RetrospectiveWLIMissing GC and point out low-quality images855 lesions + 50 lesions
Zhang et al[61], 2021RetrospectiveWLIDetection of cancer1091 images
Wu et al[51], 2021ProspectiveWLIScreening gastric lesions10000 patients
Hamada et al[69], 2022RetrospectiveWLI, CE, BLIDepth of invasion of EGC68 patients
Nam et al[47], 2022RetrospectiveWLILesion detection, differentiation and depth1366 patients
Wu et al[49], 2022ProspectiveME-NBIGC and EGC detection, EGC invasion depth and differentiation status
Table 2 Endpoints of the extracted studies
Ref.
Main outcome
[45,53,54,69]Accuracy rate of diagnosing the depth of wall invasion of gastric cancer
[64]Detection rate of gastric cancer
[63]Identification rate of cancerous lesions, reddened lesions and surrounding tissue
[48,62,65]Detection rate of early gastric cancer and its margins
[14]Identification rate of gastric cancer and gastric ulcer
[50]Identification rate of advanced gastric cancer, early gastric cancer, high grade dysplasia, low grade dysplasia and non-neoplasm
[46,51,55,57,59,60,66,68] Detection rate of early gastric cancer
[56]Detection rate of early gastric cancer and its localization. Accuracy rate of diagnosing the depth of wall invasion of gastric cancer
[58] Identification rate of early gastric cancer, advanced gastric cancer and benign gastric ulcer
[67]Identification rate of early gastric cancer and gastritis
[52]Identification rate of early gastric cancer and number of blind spots
[61]Identification rate of early gastric cancer and other gastric lesions (high grade dysplasia, peptic ulcer, advanced gastric cancer, gastric submucosal tumors and normal gastric mucosa)
[47]Identification rate of early gastric cancer, advanced gastric cancer and benign gastric ulcer. Accuracy rate of diagnosing the depth of wall invasion of gastric cancer
[49]Detection rate of early gastric cancer. Accuracy rate of diagnosing the depth of wall invasion of gastric cancer