Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy
Authors
Keywords
-
Journal
JOURNAL OF MAGNETIC RESONANCE IMAGING
Volume 47, Issue 5, Pages 1388-1396
Publisher
Wiley
Online
2017-10-17
DOI
10.1002/jmri.25874
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Staging for cervix cancer: Role of radiology, surgery and clinical assessment
- (2015) Kailash Narayan et al. BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY
- Is there a causal relationship between genetic changes and radiomics-based image features? An in vivo preclinical experiment with doxycycline inducible GADD34 tumor cells
- (2015) Kranthi Marella Panth et al. RADIOTHERAPY AND ONCOLOGY
- Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma
- (2015) Yitan Zhu et al. Scientific Reports
- Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
- (2015) Chintan Parmar et al. Scientific Reports
- The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis
- (2015) Ralph T.H. Leijenaar et al. Scientific Reports
- Validation of optimal DCE-MRI perfusion threshold to classify at-risk tumor imaging voxels in heterogeneous cervical cancer for outcome prediction
- (2014) Zhibin Huang et al. MAGNETIC RESONANCE IMAGING
- Multiple hypothesis testing in genomics
- (2014) Jelle J. Goeman et al. STATISTICS IN MEDICINE
- Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer
- (2013) Fei Yang et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- In vitro chemoresponse to cisplatin and outcomes in cervical cancer
- (2013) Perry W. Grigsby et al. GYNECOLOGIC ONCOLOGY
- FDG uptake heterogeneity in FIGO IIb cervical carcinoma does not predict pelvic lymph node involvement
- (2013) Frank J Brooks et al. Radiation Oncology
- Radiomics: Extracting more information from medical images using advanced feature analysis
- (2012) Philippe Lambin et al. EUROPEAN JOURNAL OF CANCER
- Grading of uterine cervical cancer by using the ADC difference value and its correlation with microvascular density and vascular endothelial growth factor
- (2012) Ying Liu et al. EUROPEAN RADIOLOGY
- Value of Magnetic Resonance and 18FDG PET-CT in Predicting Tumor Response and Resectability of Primary Locally Advanced Cervical Cancer After Treatment With Intensity-Modulated Arc Therapy
- (2012) Katrien Vandecasteele et al. INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER
- Changes in Cervical Cancer FDG Uptake During Chemoradiation and Association With Response
- (2012) Elizabeth A. Kidd et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Tumor volume and subvolume concordance between FDG-PET/CT and diffusion-weighted MRI for squamous cell carcinoma of the cervix
- (2012) Jeffrey R. Olsen et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Preparing for Precision Medicine
- (2012) Reza Mirnezami et al. NEW ENGLAND JOURNAL OF MEDICINE
- Hallmarks of Cancer: The Next Generation
- (2011) Douglas Hanahan et al. CELL
- Characterizing Tumor Heterogeneity With Functional Imaging and Quantifying High-Risk Tumor Volume for Early Prediction of Treatment Outcome: Cervical Cancer as a Model
- (2011) Nina A. Mayr et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Metabolic Response on Post-therapy FDG-PET Predicts Patterns of Failure After Radiotherapy for Cervical Cancer
- (2011) Julie K. Schwarz et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Evaluation of Nonenhancing Tumor Fraction Assessed by Dynamic Contrast-Enhanced MRI Subtraction as a Predictor of Decrease in Tumor Volume in Response to Chemoradiotherapy in Advanced Cervical Cancer
- (2010) Lorenzo Mannelli et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Clinical and survival impact of FDG PET in patients with suspicion of recurrent cervical carcinoma
- (2010) Amandine Pallardy et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- The utility of diffusion-weighted MR imaging in cervical cancer
- (2009) Jianyu Chen et al. EUROPEAN JOURNAL OF RADIOLOGY
- Translating Response During Therapy into Ultimate Treatment Outcome: A Personalized 4-Dimensional MRI Tumor Volumetric Regression Approach in Cervical Cancer
- (2009) Nina A. Mayr et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Predicting Control of Primary Tumor and Survival by DCE MRI During Early Therapy in Cervical Cancer
- (2009) William T. C. Yuh et al. INVESTIGATIVE RADIOLOGY
- Human cervical carcinoma xenograft models for studies of the physiological microenvironment of tumors
- (2009) Christine Ellingsen et al. JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
- Intratumoral Metabolic Heterogeneity of Cervical Cancer
- (2008) E. A. Kidd et al. CLINICAL CANCER RESEARCH
- Diffusion-weighted magnetic resonance imaging in the early detection of response to chemoradiation in cervical cancer
- (2008) Vanessa N. Harry et al. GYNECOLOGIC ONCOLOGY
- Semiquantitative and Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging Measurements Predict Radiation Response in Cervix Cancer
- (2008) Mark A. Zahra et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Correlation of intra-tumour heterogeneity on 18F-FDG PET with pathologic features in non-small cell lung cancer: A feasibility study
- (2008) Angela van Baardwijk et al. RADIOTHERAPY AND ONCOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More