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Copyright ©The Author(s) 2021.
Artif Intell Gastroenterol. Apr 28, 2021; 2(2): 56-68
Published online Apr 28, 2021. doi: 10.35712/aig.v2.i2.56
Table 2 Summary of endoscopic ultrasound using artificial intelligence-based approach studies pancreatic cancer and malignant pancreatic cyst detection
Ref.Overall datasetTesting dataModelModel performance on testing data
Accuracy (%)
AUC
Sensitivity (%)
Specificity (%)
PPV (%)
NPV (%)
Marya et al[62], 2020 (United States)583 patients (1174461 images)123 patientsCNNNA0.97695918797
Tonozuka et al[33], 2020 (Japan)139 patients (920 images)47 patients (470 images)CNNNA0.9492.484.186.890.7
Ozkan et al[54], 2016 (Turkey)332 images72 imagesNN87.5NA83.393.33NANA
Saftoiu et al[59], 2015 (Multicenter in Europe)167 cases15% of casesNNNANA94.6494.4497.2489.47
Zhu et al[56], 2013 (China)388 images50% of all data (200 trials)SVM93.86NA92.5293.0391.7594.39
Zhang et al[55], 2010 (China)216 patients 50% of all data (50 trials)SVM97.98NA94.3299.4598.6597.77
Das et al[57], 2008 (United States)319 images50% of all dataNNNA0.9393928796
Norton et al[53], 2001 (United States)21 patients4 patientsML80NA10050NANA
Elastography
Saftoiu et al[61], 2012 (Multicenter in Europe)258 casesNo separate testing data (10-fold CV)NN84.2720.94287.59282.94296.25257.222
Saftoiu et al[60], 2008 (Denmark and Romania)68 casesNo separate testing data (10-fold CV)NNNA0.9572NANANANA
IPMN
Machicado et al[64], 2021 (United States)135 cases of EUS-nCLE (15027 frames)No separate testing data (5-fold CV)(1) CNN (segmentation); and (2) CNN (holistic)(1) 82.92; and (2) 85.72NA(1) 83.32; and (2) 83.32(1) 82.42; and (2) 88.22(1) 83.32; and (2) 88.22(1) 82.42; and (2) 83.32
Kuwahara et al[63], 2019 (Japan)50 casesNo separate testing data (10-fold CV)CNN942NA95.7292.6291.7296.22