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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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Prostate-specific membrane antigen PET/MRI validation of MR textural analysis for detection of transition zone prostate cancer

Bates, A. and Miles, K. (2017)

European Radiology, 27(12), pp. 5290–5298. doi: 10.1007/s00330-017-4877-x

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Endometrial Carcinoma: MR Imaging-based Texture Model for Preoperative Risk Stratification-A Preliminary Analysis

Ueno, Y. et al., (2017)

Radiology, 284(3), pp. 748–757. doi: 10.1148/radiol.2017161950

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MRI texture analysis (MRTA) of T2-weighted images in Crohn’s disease may provide information on histological and MRI disease activity in patients undergoing ileal resection

Makanyanga, J. et al., (2017)

European radiology, 27(2), pp. 589–597. doi: 10.1007/s00330-016-4324-4

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Textural analysis of multiparametric MRI detects transition zone prostate cancer

Sidhu, H. S. et al. (2017)

European radiology, 27(6), pp. 2348–2358. doi: 10.1007/s00330-016-4579-9

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CT-based texture analysis potentially provides prognostic information complementary to interim fdg-pet for patients with hodgkin’s and aggressive non-hodgkin’s lymphomas

Ganeshan, B. et al., (2016)

doi: 10.1007/s00330-016-4470-8

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CT texture analysis can help differentiate between malignant and benign lymph nodes in the mediastinum in patients suspected for lung cancer.

Andersen, M. B. et al., (2016)

Acta Radiologica, 57(6), pp. 669–676. doi: 10.1177/0284185115598808.

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CT Textural Analysis of Large Primary Renal Cell Carcinomas: Pretreatment Tumor Heterogeneity Correlates With Histologic Findings and Clinical Outcomes

Lubner, M. G. et al., (2016)

American Journal of Roentgenology, 207(1), pp. 96–105. doi: 10.2214/AJR.15.15451

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Diagnostic performance of texture analysis on MRI in grading cerebral gliomas.

Skogen, K. et al., (2016)

European journal of radiology, 85(4), pp. 824–9. doi: 10.1016/j.ejrad.2016.01.013.

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