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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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Noninvasive image texture analysis differentiates K-ras mutation from pan-wildtype NSCLC and is prognostic.

Weiss, G. J. et al., (2014)

PloS one. Edited by R. A. de Mello, 9(7), p. e100244. doi: 10.1371/journal.pone.0100244.

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A phase II study of temsirolimus in previously treated advanced hepatocellular carcinoma (HCC).

Sachdev J et al., (2014)

In ASCO 2014, Chicago, USA .

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Classification of Renal Masses using CT texture analysis: Generation of a predictive model on the basis of quantitative Spatial Frequency Measurements and Random Forest Modelling

Raman, S. P. et al., (2014)

Academic Radiology, 21(12), pp. 1587–1596. doi: 10.1016/j.acra.2014.07.023

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Can PET-CT imaging biomarkers identify esophageal cancer (EC) patients who benefit from surgery following chemotherapy and radiotherapy (CRT)?

Sue Chua et al., (2014)

Journal of Nuclear Medicine. Society of Nuclear Medicine

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Changes in Primary Breast Cancer Heterogeneity May Augment Midtreatment MR Imaging Assessment of Response to Neoadjuvant Chemotherapy.

Parikh, J. et al. (2014)

Radiology. Radiological Society of North America, 272(1), pp. 100–112. doi: 10.1148/radiol.14130569.

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Multifunctional imaging signature for V-KI-RAS2 Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations in colorectal cancer.

Miles, K. A. et al., (2014)

Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 55(3), pp. 386–91. doi: 10.2967/jnumed.113.120485.

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The use of molecular imaging combined with genomic techniques to understand the heterogeneity in cancer metastasis

Chowdhury, R. et al., (2014)

The British journal of radiology, 87(1038), p. 20140065. doi: 10.1259/bjr.20140065

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CT signal heterogeneity of abdominal aortic aneurysm as a possible predictive biomarker for expansion

Kotze, C. W. et al., (2014)

Atherosclerosis, 233(2), pp. 510–7. doi: 10.1016/j.atherosclerosis.2014.01.001

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