Feedback Medical Publications

Welcome to the publications page for Feedback Medical where you can find more information about our products and their use in the scientific world.

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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Quantitative computed tomography texture analyses for anterior mediastinal masses: Differentiation between solid masses and cysts

Yasaka, K. et al., (2018)

European Journal of Radiology. Elsevier, 100, pp. 85–91. doi: 10.1016/J.EJRAD.2018.01.017

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CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges

Lubner, M. G. et al., (2017)

RadioGraphics, 37(5), pp. 1483–1503. doi: 10.1148/rg.2017170056

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CT texture analysis: a potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib

Haider, M. A. et al., (2017)

Cancer Imaging, 17(1), p. 4. doi: 10.1186/s40644-017-0106-8

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In Vivo Imaging of Tau Pathology Using Magnetic Resonance Imaging Textural Analysis.

Colgan, N. et al., (2017)

Frontiers in neuroscience. Frontiers Media SA, 11, p. 599. doi: 10.3389/fnins.2017.00599.

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Can CT measures of tumour heterogeneity stratify risk for nodal metastasis in patients with non-small cell lung cancer?

Craigie, M. et al., (2017)

Clinical radiology. Elsevier, 72(10), p. 899.e1-899.e7. doi: 10.1016/j.crad.2017.04.013.

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Impact of hepatocellular carcinoma heterogeneity on computed tomography as a prognostic indicator

Kiryu, S. et al., (2017)

Nature, 7(1), p. 12689. doi: 10.1038/s41598-017-12688-7

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Features from Computerized Texture Analysis of Breast Cancers at Pretreatment MR Imaging Are Associated with Response to Neoadjuvant Chemotherapy.

Chamming’s, F. et al., (2017)

Radiology. Radiological Society of North America, p. 170143. doi: 10.1148/radiol.2017170143.

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Texture analysis of the liver at MDCT for assessing hepatic fibrosis.

Lubner, M. G. et al., (2017)

Abdominal Radiology, 42(8), pp. 2069–2078. doi: 10.1007/s00261-017-1096-5.

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