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. 2020 Jul 21;10(7):505. doi: 10.3390/diagnostics10070505

Table 3.

Summary of studies evaluating the role of radiomics on differentiating IPMNs with and without advanced neoplasia.

Author, Location, Year Inclusion Criteria Number of Patients Image Type Number of Radiomic Features Best Model Performance Training Set Performance Internal Validation Set
Hanania, USA, 2016 Surgically resected IPMN (2003–2011) 53 (34 HGD, 19 LGD) CECT 360 10 radiomic features AUC: 0.82
Sn: 85%
Sp: 68% (*)
AUC: 0.96
Sn: 97%
Sp: 81%
Permuth, USA, 2016 Surgically resected IPMN (2006–2011) 38 (20 HGD, 18 LGD) CECT 112 14 radiomic features +blood 5 mi-RNAs AUC: 0.92
Sn: 83%
Sp: 89%
PPV: 88%
NPV: 85%
AUC: 0.87
Attiyeh, USA, 2019 Surgically resected BD-IPMN (2005–2015) 103 (27 HGD, 76 LGD) CECT 255 Radiomic + clinical features AUC: 0.79
Sn: 71%
Sp: 82%
PPV: 95%
NPV: 79%
--
Harrington, USA, 2020 Surgically resected IPMN 33 (7 HGD,
26 LGD)
CECT 13 Radiomic features + cyst fluid protein markers AUC: 0.88
Sn: 71%
Sp: 92%
PPV: 71%
NPV: 92%
--
Hoffman, USA, 2017 Pathology proven BD-IPMN (2006–2015) 18 (8 HGD,
10 LGD)
MRI with DWI -- Entropy AUC: 0.86
Sn: 100%
Sp: 70%
--

* Estimates obtained with the highest performing individual radiomic feature. IPMN: intraductal papillary mucinous neoplasm; BD: branch-duct; HGD: high-grade dysplasia; LGD: low-grade dysplasia; CECT: contrast-enhanced computed tomography; DWI: diffusion weighted imaging; AUC: area under the curse; Sn: sensitivity; Sp: specificity; PPV: positive predictive value; NPV: negative predictive value.