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 5 Models for hyperprogression and their extracted CT features.
| Model | First-order gray-level statistical features | Geometric features | Second-order texture features |
|---|---|---|---|
| CT features at baseline and first evaluation | Maximum gray value(Baseline)Maximum gray value(Evaluation) | – | NGTDM (n=1) |
| Difference between CT features at baseline and first evaluation | Maximum gray value | – | – |