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©The Author(s) 2020.
World J Gastroenterol. Jun 28, 2020; 26(24): 3458-3471
Published online Jun 28, 2020. doi: 10.3748/wjg.v26.i24.3458
Published online Jun 28, 2020. doi: 10.3748/wjg.v26.i24.3458
Table 1 Radiomic features evaluated in the intraductal papillary mucinous neoplasm study cohort (n = 39)
HU based features | Length features | Shape features | GLCM features |
Mean HU | Volumetric length | Surface area volume | GLCM row mean |
Minimum HU | Craniocaudal length | Surface area to volume ratio | GLCM row variance |
Maximum HU | Transverse length | Compactness 1st order | GLCM row standard deviation |
Median HU | Anterior-posterior length | Compactness 2nd order | GLCM column means |
Variance HU | Spherical disproportion | GLCM column variance | |
Standard deviation HU | Sphericity | GLCM column standard deviation | |
Root mean square HU | GLCM correlation | ||
Energy HU | GLCM energy | ||
Entropy HU (histogram) | GLCM entropy | ||
Kurtosis HU (histogram) | GLCM contrast | ||
Skewness HU (histogram) | GLCM homogeneity | ||
Mean deviation HU | GLCM dissimilarity | ||
Uniformity HU | GLCM angular second moment | ||
Normalized above mean deviation HU | |||
Uniformity |
- Citation: Polk SL, Choi JW, McGettigan MJ, Rose T, Ahmed A, Kim J, Jiang K, Balagurunathan Y, Qi J, Farah PT, Rathi A, Permuth JB, Jeong D. Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy. World J Gastroenterol 2020; 26(24): 3458-3471
- URL: https://www.wjgnet.com/1007-9327/full/v26/i24/3458.htm
- DOI: https://dx.doi.org/10.3748/wjg.v26.i24.3458