Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy-Reference-Cited by-同舟云学术

Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy

Published:2017-10-16 Issue:5 Volume:47 Page:1388-1396
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J. Magn. Reson. Imaging

Author:

Bowen Stephen R.¹²^ORCID,Yuh William T.C.²,Hippe Daniel S.²,Wu Wei³,Partridge Savannah C.²,Elias Saba⁴,Jia Guang⁵,Huang Zhibin⁶,Sandison George A.¹,Nelson Dennis⁷,Knopp Michael V.⁴,Lo Simon S.¹,Kinahan Paul E.²,Mayr Nina A.¹

Affiliation:

1. University of Washington School of Medicine, Department of Radiation Oncology; Seattle Washington USA

2. University of Washington School of Medicine, Department of Radiology; Seattle Washington USA

3. Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Department of Radiology; Wuhan Hubei P.R. China

4. Ohio State University, Department of Radiology; Columbus Ohio USA

5. Louisiana State University, Department of Physics; Baton Rouge Louisiana USA

6. East Carolina University, Department of Radiation Oncology; Greenville North Carolina USA

7. MIM Software, Inc; Cleveland Ohio USA

Funder

National Cancer Institute

Radiological Society of North America

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

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4. Human cervical carcinoma xenograft models for studies of the physiological microenvironment of tumors;Ellingsen;J Cancer Res Clin Oncol,2009

5. In vitro chemoresponse to cisplatin and outcomes in cervical cancer;Grigsby;Gynecol Oncol,2013

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