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

Author:

Bowen Stephen R.12ORCID,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

Reference40 articles.

1. Tumor heterogeneity: causes and consequences;Marusyk;Biochim Biophys Acta,2010

2. Hallmarks of cancer: the next generation;Hanahan;Cell,2011

3. Gene expression profiling in cervical cancer: an exploration of intratumor heterogeneity;Bachtiary;Clin Cancer Res,2006

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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