Diagnostic value of real-time computer-aided detection for precancerous lesion during esophagogastroduodenoscopy: A meta-analysis

Table 1 Main characteristics of 10 studies included in meta-analysis

Ref.	Year	Location	Ethnicity	Study design	Sample size		Type of lesion	Imaging modality	AI model for segmentation	Diagnostic power
										Case				Control
					Case	Control				TP	FP	FN	TN	TP	FP	FN	TN
van der Putten et al[11]	2020	Netherlands	Caucasian	Cohort	80	80	Barrett’s neoplasia	BLI	ResNet	37	7	3	33	29	10	11	30
Yan et al[12]	2020	China	Asian	Cohort	80	80	GIM	NBI	EfficientNet B4	34	6	3	37	32	8	5	35
Struyvenberg et al[13]	2021	Netherlands	Caucasian	Cohort	134	134	Barrett’s neoplasia	VLE	VGG16	36	17	3	78	27	14	12	81
Hussein et al[14]	2022	United Kingdom	Caucasian	Cohort	61	61	Barrett’s neoplasia	WLE	FCNResNet 50	27	4	1	29	22	17	6	16
Zhao et al[15]	2022	China	Asian	Cohort	268	268	CAG	NBI	U-Net	96	10	13	149	66	27	43	132
Zhao et al[16]	2022	China	Asian	Paired cohort study	676	676	CAG	WLE	U-Net	284	10	54	328	212	61	126	277
Abdelrahim et al[17]	2023	United Kingdom	Caucasian	Cohort	75	75	Barrett’s neoplasia	WLE	SegNet	30	4	2	39	20	10	12	33
Zhao et al[18]	2023	China	Asian	Paired cohort study	524	524	CAG	NBI	U-Net	234	25	28	237	177	78	85	184
Meinikheim et al[19]	2024	Germany	Caucasian	Cohort	96	96	Barrett’s neoplasia	Multi-modal	DeepLab V3+	40	12	11	33	36	15	15	30
Tao et al[20]	2024	China	Asian	Cohort	119	119	CAG	WLE	U-Net++	74	3	4	38	55	4	23	37

BLI: Blue light imaging; GIM: Gastric intestinal metaplasia; NBI: Narrow band imaging; VLE: Volumetric laser endomicroscopy; WLE: White light endoscopy; CAG: Chronic atrophic gastritis; TP: True positive; FP: False positive; FN: False negative; TN: True negative; AI: Artificial intelligence.