Recent advances in the diagnostic evaluation of pancreatic cystic lesions

Table 1 Summary of studies evaluating the role of radiomics in differentiating intraductal papillary mucinous neoplasms with advanced neoplasia

Ref.	n	Image type	No. of radiomic features	Best model	Performance training set
Hanania et al[19], United States, 2016	53	CECT	360	10 radiomic features	AUC: 0.82
					SP: 85%, SP: 68%
Permuth et al[20], United States, 2016	38	CECT	112	14 radiomic features +blood 5 mi-RNAs	AUC: 0.92
					SN: 83%, SP: 89%
Attiyeh et al[21], United States, 2019	103	CECT	255	Radiomic + clinical features	AUC: 0.79
					SN: 71%, SP: 82%
Williams et al[22], United States, 2020	33	CECT	12	Radiomic features + cyst fluid protein markers	AUC: 0.88
					SN: 71%, SP: 92%
Hoffman et al[23], United States, 2017	18	MRI w/ DWI	N/A	Entropy	AUC: 0.86
					SN: 100%; SP: 70%

HGD: High-grade dysplasia; LGD: Low-grade dysplasia; CECT: Contrast-enhanced computed tomography; MRI: Magnetic resonance imaging; mi-RNA: micro-RNA; DWI: Diffusion weighted imaging; AUC: Area under curve; SN: Sensitivity; SP: Specificity; NA: Not application.