Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study
Authors
Keywords
Ovarian epithelial cancer, Magnetic resonance imaging, Computer-assisted diagnosis, Radiomics
Journal
EUROPEAN RADIOLOGY
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-04-08
DOI
10.1007/s00330-019-06124-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Changes in ovarian cancer survival during the 20 years before the era of targeted therapy
- (2018) Jung-Yun Lee et al. BMC CANCER
- Radiomics-based features for pattern recognition of lung cancer histopathology and metastases
- (2018) José Raniery Ferreira Junior et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Classifying brain metastases by their primary site of origin using a radiomics approach based on texture analysis: a feasibility study
- (2018) Rafael Ortiz-Ramón et al. EUROPEAN RADIOLOGY
- Radiomics of high-grade serous ovarian cancer: association between quantitative CT features, residual tumour and disease progression within 12 months
- (2018) Stefania Rizzo et al. EUROPEAN RADIOLOGY
- Radiomic signature as a diagnostic factor for histologic subtype classification of non-small cell lung cancer
- (2018) Xinzhong Zhu et al. EUROPEAN RADIOLOGY
- Sparse Representation-Based Radiomics for the Diagnosis of Brain Tumors
- (2018) Guoqing Wu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer
- (2018) Yankai Meng et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation
- (2018) Ying Liu et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Clear cell carcinoma of the ovary
- (2018) Haosha Tang et al. MEDICINE
- Primary and metastatic ovarian cancer: Characterization by 3.0T diffusion-weighted MRI
- (2017) Auni Lindgren et al. EUROPEAN RADIOLOGY
- Comparison between types I and II epithelial ovarian cancer using histogram analysis of monoexponential, biexponential, and stretched-exponential diffusion models
- (2017) Feng Wang et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- MR Imaging–Pathologic Correlation in Ovarian Cancer
- (2017) Erica B. Stein et al. Magnetic Resonance Imaging Clinics of North America
- ADC Histogram Analysis of Cervical Cancer Aids Detecting Lymphatic Metastases—a Preliminary Study
- (2017) Stefan Schob et al. MOLECULAR IMAGING AND BIOLOGY
- Radiomics: the bridge between medical imaging and personalized medicine
- (2017) Philippe Lambin et al. Nature Reviews Clinical Oncology
- Endometrial Carcinoma: MR Imaging–based Texture Model for Preoperative Risk Stratification—A Preliminary Analysis
- (2017) Yoshiko Ueno et al. RADIOLOGY
- Early prediction of clinical benefit of treating ovarian cancer using quantitative CT image feature analysis
- (2016) Yuchen Qiu et al. ACTA RADIOLOGICA
- Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application
- (2016) Monica M. Vasquez et al. BMC Medical Research Methodology
- Cancer statistics in China, 2015
- (2016) Wanqing Chen et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma
- (2016) Jinhua Yu et al. EUROPEAN RADIOLOGY
- Development and Validation of a Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer
- (2016) Yan-qi Huang et al. JOURNAL OF CLINICAL ONCOLOGY
- Semiquantitative dynamic contrast-enhanced MRI for accurate classification of complex adnexal masses
- (2016) Anahita Fathi Kazerooni et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Radiomics: Images Are More than Pictures, They Are Data
- (2016) Robert J. Gillies et al. RADIOLOGY
- The prognostic value of dividing epithelial ovarian cancer into type I and type II tumors based on pathologic characteristics
- (2015) Kira Philipsen Prahm et al. GYNECOLOGIC ONCOLOGY
- Machine Learning methods for Quantitative Radiomic Biomarkers
- (2015) Chintan Parmar et al. Scientific Reports
- Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
- (2014) Hugo J. W. L. Aerts et al. Nature Communications
- Prospective evaluation of 3T MRI findings for primary adnexal lesions and comparison with the final histological diagnosis
- (2013) He Zhang et al. ARCHIVES OF GYNECOLOGY AND OBSTETRICS
- Ovarian cancer screening—Current status, future directions
- (2013) Usha Menon et al. GYNECOLOGIC ONCOLOGY
- Clinical and Ultrasound Features of Type I and Type II Epithelial Ovarian Cancer
- (2013) Juan Luis Alcázar et al. INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER
- The mean apparent diffusion coefficient value (ADCmean) on primary cervical cancer is a predictive marker for disease recurrence
- (2012) Keiichiro Nakamura et al. GYNECOLOGIC ONCOLOGY
- Quantitative dynamic contrast-enhanced MR imaging analysis of complex adnexal masses: a preliminary study
- (2011) Isabelle Thomassin-Naggara et al. EUROPEAN RADIOLOGY
- Histologic, Molecular, and Cytogenetic Features of Ovarian Cancers: Implications for Diagnosis and Treatment
- (2011) Neeraj Lalwani et al. RADIOGRAPHICS
- Diffusion-weighted MRI: a useful technique to discriminate benign versus malignant ovarian surface epithelial tumors with solid and cystic components
- (2011) Wenhua Li et al. Abdominal Radiology
- Accuracy of magnetic resonance imaging in ovarian tumor: a systematic quantitative review
- (2010) Lidia R. Medeiros et al. AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY
- Identification of early predictive imaging biomarkers and their relationship to serological angiogenic markers in patients with ovarian cancer with residual disease following cytotoxic therapy
- (2010) C. L. Mitchell et al. ANNALS OF ONCOLOGY
- Dynamic contrast-enhanced magnetic resonance imaging: A useful tool for characterizing ovarian epithelial tumors
- (2008) Isabelle Thomassin-Naggara et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started