Diffusion model comparison identifies distinct tumor sub‐regions and tracks treatment response-Reference-Cited by-同舟云学术

Diffusion model comparison identifies distinct tumor sub‐regions and tracks treatment response

Published:2020-02-14 Issue:3 Volume:84 Page:1250-1263
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn Reson Med

Author:

McHugh Damien J.¹²^ORCID,Lipowska‐Bhalla Grazyna¹²,Babur Muhammad³,Watson Yvonne¹,Peset Isabel⁴,Mistry Hitesh B.²,Hubbard Cristinacce Penny L.⁵,Naish Josephine H.⁵⁶,Honeychurch Jamie²,Williams Kaye J.³,O'Connor James P. B.¹²,Parker Geoffrey J. M.⁶⁷⁸^ORCID

Affiliation:

1. Quantitative Biomedical Imaging Laboratory The University of Manchester Manchester UK

2. Division of Cancer Sciences The University of Manchester Manchester UK

3. Division of Pharmacy & Optometry The University of Manchester Manchester UK

4. Imaging and Flow Cytometry Cancer Research UK Manchester Institute Manchester UK

5. Division of Cardiovascular Sciences The University of Manchester Manchester UK

6. Bioxydyn Ltd. Manchester UK

7. Division of Neuroscience and Experimental Psychology The University of Manchester Manchester UK

8. Centre for Medical Image Computing University College London London UK

Funder

Cancer Research UK via the National Cancer Imaging Translational Accelerator to J.P.B. O'Connor

Cancer Research UK via the Advanced Clinician Scientist Award to J.P.B. O'Connor

Cancer Research UK via the Cancer Research UK Manchester Centre

Cancer Research UK/EPSRC Cancer Imaging Centre in Cambridge & Manchester

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.28196

Reference42 articles.

1. Qualification of imaging biomarkers for oncology drug development

2. Imaging biomarker roadmap for cancer studies

3. Tumor heterogeneity: Causes and consequences

4. Imaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome

5. Model selection in measures of vascular parameters using dynamic contrast-enhanced MRI: experimental and clinical applications

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