20 October 2020 : Clinical Research
Use of Radiomics to Predict Response to Immunotherapy of Malignant Tumors of the Digestive System
Zhi Ji1BEF, Yong Cui2ABC, Zhi Peng1DEF, Jifang Gong1CE, Hai-tao Zhu2CD, Xiaotian Zhang1AE, Jian Li1CE, Ming Lu1CF, Zhihao Lu1AD, Lin Shen1AFG*, Ying-shi Sun2AFGDOI: 10.12659/MSM.924671
Med Sci Monit 2020; 26:e924671
Table 1 Classification of the extracted imaging features.
| First-order gray-level statistical features (n=15) | Geometric features (n=16) | Second-order texture features (n=78) |
|---|---|---|
| Maximum gray valueMinimum gray valueMedianSumAverage valueStandard deviationVarianceKurtosisSkewness etc. | VolumeLong axis lengthShort axis lengthSurface areaEccentricityExtensionVolume of the cuboidMaximum perimeterDirection etc. | Gray-level co-occurrence matrix (glcm) (n=16)Gray-level run-length matrix (glrlm) (n=26)Gray-level size zone matrix (glszm) (n=26)Neighborhood gray-tone difference matrix (ngtdm) (n=10) |