Radiomics of liver MRI predict metastases in mice

Background The purpose of this study was to investigate whether any texture features show a correlation with intrahepatic tumor growth before the metastasis is visible to the human eye. Methods Eight male C57BL6 mice (age 8–10 weeks) were injected intraportally with syngeneic MC-38 colon cancer cell...

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Bibliographic Details
Published in:European radiology experimental 2018-05, Vol.2 (1), p.11-11, Article 11
Main Authors: Becker, Anton S., Schneider, Marcel A., Wurnig, Moritz C., Wagner, Matthias, Clavien, Pierre A., Boss, Andreas
Format: Article
Language:English
Subjects:
Diagnostic Radiology
Imaging
Internal Medicine
Interventional Radiology
Medicine
Medicine & Public Health
Neuroradiology
Original
Original Article
Radiology
Ultrasound
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Summary:Background The purpose of this study was to investigate whether any texture features show a correlation with intrahepatic tumor growth before the metastasis is visible to the human eye. Methods Eight male C57BL6 mice (age 8–10 weeks) were injected intraportally with syngeneic MC-38 colon cancer cells and two mice were injected with phosphate-buffered saline (sham controls). Small animal magnetic resonance imaging (MRI) at 4.7 T was performed at baseline and days 4, 8, 12, 16, and 20 after injection applying a T2-weighted spin-echo sequence. Texture analysis was performed on the images yielding 32 texture features derived from histogram, gray-level co-occurrence matrix, gray-level run-length matrix, and gray-level size-zone matrix. The features were examined with a linear regression model/Pearson correlation test and hierarchical cluster analysis. From each cluster, the feature with the lowest variance was selected. Results Tumors were visible on MRI after 20 days. Eighteen features from histogram and the gray-level-matrices exhibited statistically significant correlations before day 20 in the experiment group, but not in the control animals. Cluster analysis revealed three distinct clusters of independent features. The features with the lowest variance were Energy, Short Run Emphasis, and Gray Level Non-Uniformity. Conclusions Texture features may quantitatively detect liver metastases before they become visually detectable by the radiologist.
ISSN:2509-9280
2509-9280
DOI:10.1186/s41747-018-0044-7