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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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Primary Esophageal Cancer: Heterogeneity as Potential Prognostic Biomarker in Patients Treated with Definitive Chemotherapy and Radiation Therapy

Yip, C. et al., (2014)

Radiology. Radiological Society of North America, 270(1), pp. 141–148. doi: 10.1148/radiol.13122869

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Locally advanced squamous cell carcinoma of the head and neck: CT texture and histogram analysis allow independent prediction of overall survival in patients treated with induction chemotherapy.

Zhang, H. et al., (2013)

Radiology, 269(3), pp. 801–9. doi: 10.1148/radiol.13130110.

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CT texture analysis using the filtration-histogram method: what do the measurements mean?

Miles, K. A., Ganeshan, B. and Hayball, M. P. (2013)

Cancer imaging : the official publication of the International Cancer Imaging Society, 13(3), pp. 400–6. doi: 10.1102/1470-7330.2013.9045

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Tumor heterogeneity and permeability as measured on the CT component of PET/CT predict survival in patients with non-small cell lung cancer.

Win, T. et al., (2013)

Clinical cancer research : an official journal of the American Association for Cancer Research, 19(13), pp. 3591–9. doi: 10.1158/1078-0432.CCR-12-1307.

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Abnormalities in fronto-striatal connectivity within language networks relate to differences in grey-matter heterogeneity in Asperger syndrome.

Radulescu, E. et al., (2013)

NeuroImage. Clinical, 2, pp. 716–26. doi: 10.1016/j.nicl.2013.05.010.

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Quantifying tumour heterogeneity with CT

Ganeshan, B. and Miles, K. A. (2013)

Cancer imaging : the official publication of the International Cancer Imaging Society, 13(1), pp. 140–9. doi: 10.1102/1470-7330.2013.0015

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Non-small cell lung cancer: histopathologic correlates for texture parameters at CT

Ganeshan, B. et al., (2013)

Radiology. doi: 10.1148/radiol.12112428

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Gray matter textural heterogeneity as a potential in-vivo biomarker of fine structural abnormalities in Asperger syndrome.

Radulescu, E. et al. (2013)

The pharmacogenomics journal, 13(1), pp. 70–9. doi: 10.1038/tpj.2012.3.

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