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MR Imaging Texture Analysis in the Abdomen and Pelvis

Thomas, JV; Abou Elkassem, AM; Ganeshan, B; Smith, AD; (2020) MR Imaging Texture Analysis in the Abdomen and Pelvis. Magnetic Resonance Imaging Clinics of North America , 28 (3) pp. 447-456. 10.1016/j.mric.2020.03.009. Green open access

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Abstract

Texture analysis (TA) is a form of radiomics and refers to quantitative measurements of the histogram, distribution and/or relationship of pixel intensities or gray scales within a region of interest on an image. TA can be applied to MRI of the abdomen and pelvis, with the main strength being quantitative analysis of pixel intensities and heterogeneity rather than subjective/qualitative analysis. There are multiple limitations of MR texture analysis (MRTA) including a dependency on image acquisition and reconstruction parameters, non-standardized approaches without or with image filtration, diverse software methods and applications, and statistical challenges relating numerous texture analysis results to clinical outcomes in retrospective pilot studies with small sample sizes. Despite these limitations, there is a growing body of literature supporting MRTA. In this review, the application of MRTA to the abdomen and pelvis will be discussed, including tissue or tumor characterization and response evaluation or prediction of outcomes in various tumors.

Type: Article
Title: MR Imaging Texture Analysis in the Abdomen and Pelvis
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.mric.2020.03.009
Publisher version: https://doi.org/10.1016/j.mric.2020.03.009
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: MR imaging, Texture analysis, Liver pathology, Prostate cancer, Rectal carcinoma, Renal cell carcinoma, Pancreatic carcinoma,Endometrial carcinoma
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
URI: https://discovery.ucl.ac.uk/id/eprint/10102639
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