texrad Publications

TexRAD has featured in over 100 academic publications, won numerous awards and is currently used in over 50 prestigious institutions worldwide.

In the exciting new field of radiomics, TexRAD uncovers biomarkers in medical images which are invisible to the naked eye. Explore the innovation in TexRAD scientific research that takes place from our customers across the globe. Filter TexRAD related articles through an array of tissue types from head and neck to prostate, and learn more about the potential applications of texture analysis in lung cancer.

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Hepatocellular carcinoma: CT texture analysis as a predictor of survival after surgical resection.

Brenet Defour, L. et al., (2018)

European Radiology. doi: 10.1007/s00330-018-5679-5.

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Diagnostic accuracy of MRI texture analysis for grading gliomas.

Ditmer, A. et al., (2018)

Journal of Neuro-Oncology. doi: 10.1007/s11060-018-2984-4.

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Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer

Ytre-Hauge, S. et al., (2018)

Journal of Magnetic Resonance Imaging. doi: 10.1002/jmri.26184

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Imaging prediction of nonalcoholic steatohepatitis using computed tomography texture analysis.

Naganawa, S. et al., (2018)

European Radiology. doi: 10.1007/s00330-017-5270-5.

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Radiologist Engagement as a Potential Barrier to the Clinical Translation of Quantitative Imaging for the Assessment of Tumor Heterogeneity.

Miles, K. A., et al., (2018)

Academic Radiology. Elsevier, 0(0). doi: 10.1016/J.ACRA.2017.11.019.

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Uric acid versus non-uric acid urinary stones: differentiation with single energy CT texture analysis

Zhang, G.-M.-Y. et al., (2018)

Clinical Radiology. doi: 10.1016/j.crad.2018.04.010

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Texture analysis of small renal cell carcinomas at MDCT for predicting relevant histologic and protein biomarkers

Scrima, A. T. et al. (2018)

Abdominal Radiology. doi: 10.1007/s00261-018-1649-2

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Virtual monoenergetic imaging in rapid kVp-switching dual-energy CT (DECT) of the abdomen: impact on CT texture analysis

Baliyan, V. et al., (2018)

Abdominal Radiology. doi: 10.1007/s00261-018-1527-y

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