Improving Treatment Response Prediction for Chemoradiation Therapy of Pancreatic Cancer Using a Combination of Delta-Radiomics and the Clinical Biomarker CA19-9.

Front Oncol · 2019 · PMC6960122 · PMID 31970088

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a decreasing trendno p-value reported

Figure 2 shows examples of DRFs (Entropy and cluster tendency) showing a decreasing trend with increasing treatment fractions (radiation dose increase) for all good responders.

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showed a trendno p-value reported

Results The results showed that 13 DRFs (complexity, cluster tendency, coarseness, information measure, contrast, entropy, inverse variance, gray level non-uniformity, mean, IDN, kurtosis, skewness, and NESTD) showed a trend correlating to pathological treatment response and this trend was opposite between good and bad response groups.

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