Keywords:
Oncologic Imaging, Contrast agents, Liver, Oncology, MR, Contrast agent-intravenous, Molecular imaging, Treatment effects, Cancer, Metastases, Retrospective, Case-control study, Performed at one institution
Authors:
S. Matsushima1, S. Murata1, Y. Sato1, H. Onaya2, H. Yamaura1, M. kato1, T. Hasegawa1, H. Ogura1, Y. Inaba1; 1Nagoya/JP, 2Tokyo/JP
DOI:
10.26044/ecr2020/C-01196
Results
Results
•The entropy of RTE images were positively correlated with the entropy of histology images (Pearson's r = 0.66 ; p = 0.002). (Fig. 4)
•The RTE values and tumor size were not correlated with the entropy of histology images (Pearson's r = 0.32, 0.23 ; p = 0.18, 0.35, respectively). (Fig. 5)
Discussion
The entropy of texture analysis describes a wide range of techniques for quantification of gray-level patterns and pixel inter-relationships within an image providing a measure of heterogeneity[6].The RTEvalue is a potential useful biomarker for predicting early treatment response based on tumor heterogeneityin CLMs[4,5].Further, RTE images are quantitative images, and the entropy of RTE images were positively correlated with the entropy of histology images. We thought that the degree of gadoxeticacid enhancement may be reflected retention of contrasts due to heterogeneity. Therefore, the entropy of RTE images might be biomarkers based on heterogeneityin CLM.
Limitation
A limitation of this study was that the sample size in this study was small. A study involving a larger number of patients would be needed to confirm our findings.