Related references
Note: Only part of the references are listed.Deep Myometrial Infiltration of Endometrial Cancer on MRI: A Radiomics-Powered Machine Learning Pilot Study
Arnaldo Stanzione et al.
ACADEMIC RADIOLOGY (2021)
Radiologists with MRI-based radiomics aids to predict the pelvic lymph node metastasis in endometrial cancer: a multicenter study
Bi Cong Yan et al.
EUROPEAN RADIOLOGY (2021)
DTI histogram parameters correlate with the extent of myoinvasion and tumor type in endometrial carcinoma: a preliminary analysis
Adarsh Ghosh et al.
ACTA RADIOLOGICA (2020)
Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer
Yu-Chun Lin et al.
EUROPEAN RADIOLOGY (2020)
Radiomic features of cervical cancer on T2-and diffusion-weighted MRI: Prognostic value in low-volume tumors suitable for trachelectomy
Benjamin W. Wormald et al.
GYNECOLOGIC ONCOLOGY (2020)
Noninvasive CT radiomic model for preoperative prediction of lymph node metastasis in early cervical carcinoma
Jiaming Chen et al.
BRITISH JOURNAL OF RADIOLOGY (2020)
Radiomics: from qualitative to quantitative imaging
William Rogers et al.
BRITISH JOURNAL OF RADIOLOGY (2020)
Preoperative prediction of parametrial invasion in early-stage cervical cancer with MRI-based radiomics nomogram
Tao Wang et al.
EUROPEAN RADIOLOGY (2020)
Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images
Xiance Jin et al.
EUROPEAN RADIOLOGY (2020)
Combining positron emission tomography/computed tomography, radiomics, and sentinel lymph node mapping for nodal staging of endometrial cancer patients
Cinzia Crivellaro et al.
INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER (2020)
Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer
Meiling Xiao et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2020)
Impact of HPV vaccination and cervical screening on cervical cancer elimination: a comparative modelling analysis in 78 low-income and lower-middle-income countries
Marc Brisson et al.
LANCET (2020)
A multi-scanner study of MRI radiomics in uterine cervical cancer: prediction of in-field tumor control after definitive radiotherapy based on a machine learning method including peritumoral regions
Akiyo Takada et al.
JAPANESE JOURNAL OF RADIOLOGY (2020)
Prediction of Response to Preoperative Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer Using Multicenter CT-Based Radiomic Analysis
Xin Tian et al.
FRONTIERS IN ONCOLOGY (2020)
Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis
Lucian Beer et al.
EUROPEAN RADIOLOGY (2020)
Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis
Marc Arbyn et al.
LANCET GLOBAL HEALTH (2020)
Lenvatinib Plus Pembrolizumab in Patients With Advanced Endometrial Cancer
Vicky Makker et al.
JOURNAL OF CLINICAL ONCOLOGY (2020)
Association of a CT-Based Clinical and Radiomics Score of Non-Small Cell Lung Cancer (NSCLC) with Lymph Node Status and Overall Survival
Francesca Botta et al.
CANCERS (2020)
Multi-Habitat Based Radiomics for the Prediction of Treatment Response to Concurrent Chemotherapy and Radiation Therapy in Locally Advanced Cervical Cancer
Mengjie Fang et al.
FRONTIERS IN ONCOLOGY (2020)
Diagnosis of Cervical Cancer With Parametrial Invasion on Whole-Tumor Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined With Whole-Lesion Texture Analysis Based on T2-Weighted Images
Xin-xiang Li et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2020)
Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers
Harini Veeraraghavan et al.
SCIENTIFIC REPORTS (2020)
Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer
Jin Fang et al.
THERANOSTICS (2020)
Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation
Ying Liu et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
Radiomic signature as a predictive factor for lymph node metastasis in early-stage cervical cancer
Yangyang Kan et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
Radiomics Analysis of Multiparametric MRI Evaluates the Pathological Features of Cervical Squamous Cell Carcinoma
Qingxia Wu et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
MRI of cervical cancer with a surgical perspective: staging, prognostic implications and pitfalls
Patricia Balcacer et al.
ABDOMINAL RADIOLOGY (2019)
Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging
Tao Wang et al.
EUROPEAN JOURNAL OF RADIOLOGY (2019)
Efficacy and Safety of Pembrolizumab in Previously Treated Advanced Cervical Cancer: Results From the Phase II KEYNOTE-158 Study
Hyun Cheol Chung et al.
JOURNAL OF CLINICAL ONCOLOGY (2019)
Texture analysis versus conventional MRI prognostic factors in predicting tumor response to neoadjuvant chemotherapy in patients with locally advanced cancer of the uterine cervix
Maria Ciolina et al.
RADIOLOGIA MEDICA (2019)
MRI-derived radiomics: methodology and clinical applications in the field of pelvic oncology
Ulrike Schick et al.
BRITISH JOURNAL OF RADIOLOGY (2019)
Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer
Qingxia Wu et al.
RADIOTHERAPY AND ONCOLOGY (2019)
Radiomic analysis for pretreatment prediction of response to neoadjuvant chemotherapy in locally advanced cervical cancer: A multicentre study
Caixia Sun et al.
EBIOMEDICINE (2019)
Multiplanar MRI-Based Predictive Model for Preoperative Assessment of Lymph Node Metastasis in Endometrial Cancer
Xiaojuan Xu et al.
FRONTIERS IN ONCOLOGY (2019)
External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy
Francois Lucia et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Revised FIGO staging for carcinoma of the cervix uteri
Neerja Bhatla et al.
INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS (2019)
MR-Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph-Vascular Space Invasion preoperatively
Zhicong Li et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
Ovarian cancer: An update on imaging in the era of radiomics
S. Nougaret et al.
DIAGNOSTIC AND INTERVENTIONAL IMAGING (2019)
Association between CT-texture-derived tumor heterogeneity, outcomes, and BRCA mutation status in patients with high-grade serous ovarian cancer
Andreas Meier et al.
ABDOMINAL RADIOLOGY (2019)
18F-FDG PET/CT Quantitative Parameters and Texture Analysis Effectively Differentiate Endometrial Precancerous Lesion and Early-Stage Carcinoma
Tong Wang et al.
MOLECULAR IMAGING (2019)
Prediction of outcome using pretreatment 18F-FDG PET/CT and MRI radiomics in locally advanced cervical cancer treated with chemoradiotherapy
Francois Lucia et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2018)
Metastatic and non-metastatic lymph nodes: quantification and different distribution of iodine uptake assessed by dual-energy CT
Stefania Rizzo et al.
EUROPEAN RADIOLOGY (2018)
Cancer Statistics, 2018
Rebecca L. Siegel et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2018)
Radiomics of high-grade serous ovarian cancer: association between quantitative CT features, residual tumour and disease progression within 12 months
Stefania Rizzo et al.
EUROPEAN RADIOLOGY (2018)
Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters
Roberto Berenguer et al.
RADIOLOGY (2018)
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Freddie Bray et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2018)
Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer
Sigmund Ytre-Hauge et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2018)
Texture Analysis as Imaging Biomarker for recurrence in advanced cervical cancer treated with CCRT
Jie Meng et al.
SCIENTIFIC REPORTS (2018)
Radiomics of the primary tumour as a tool to improve 18F-FDG-PET sensitivity in detecting nodal metastases in endometrial cancer
Elisabetta De Bernardi et al.
EJNMMI RESEARCH (2018)
Endometrial cancer: an overview of novelties in treatment and related imaging keypoints for local staging
Stefania Rizzo et al.
CANCER IMAGING (2018)
[18]Fluorodeoxyglucose Positron Emission Tomography for the Textural Features of Cervical Cancer Associated with Lymph Node Metastasis and Histological Type
Wei-Chih Shen et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2017)
A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome
Hebert Alberto Vargas et al.
EUROPEAN RADIOLOGY (2017)
Endometrial Carcinoma: MR Imaging-based Texture Model for Preoperative Risk Stratification-A Preliminary Analysis
Yoshiko Ueno et al.
RADIOLOGY (2017)
Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT
Jie Meng et al.
ONCOTARGET (2017)
Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners
Sylvain Reuze et al.
ONCOTARGET (2017)
Pulmonary metastasectomy: an overview
Francesco Petrella et al.
JOURNAL OF THORACIC DISEASE (2017)
Value of whole-lesion apparent diffusion coefficient (ADC) first-order statistics and texture features in clinical staging of cervical cancers
Y. Guan et al.
CLINICAL RADIOLOGY (2017)
MRI texture features may predict differentiation and nodal stage of cervical cancer: a pilot study
Anton S. Becker et al.
ACTA RADIOLOGICA OPEN (2017)
18F-FDG PET radiomics approaches: comparing and clustering features in cervical cancer
Tetsuya Tsujikawa et al.
ANNALS OF NUCLEAR MEDICINE (2017)
Cervical cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
C. Marth et al.
ANNALS OF ONCOLOGY (2017)
Differentiation of Clear Cell Renal Cell Carcinoma From Other Renal Cortical Tumors by Use of a Quantitative Multiparametric MRI Approach
Andreas M. Hoetker et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2017)
ESMO-ESGO-ESTRO Consensus Conference on Endometrial Cancer: diagnosis, treatment and follow-up
N. Colombo et al.
ANNALS OF ONCOLOGY (2016)
Immunotherapy and targeted therapy for cervical cancer: an update
Gulden Menderes et al.
EXPERT REVIEW OF ANTICANCER THERAPY (2016)
Radiomics: Images Are More than Pictures, They Are Data
Robert J. Gillies et al.
RADIOLOGY (2016)
Nomograms Predicting Progression-Free Survival, Overall Survival, and Pelvic Recurrence in Locally Advanced Cervical Cancer Developed From an Analysis of Identifiable Prognostic Factors in Patients From NRG Oncology/Gynecologic Oncology Group Randomized Trials of Chemoradiotherapy
Peter G. Rose et al.
JOURNAL OF CLINICAL ONCOLOGY (2015)
Staging of cervical cancer based on tumor heterogeneity characterized by texture features on 18F-FDG PET images
Wei Mu et al.
PHYSICS IN MEDICINE AND BIOLOGY (2015)
Endometrial cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
N. Colombo et al.
ANNALS OF ONCOLOGY (2013)
Temporal analysis of intratumoral metabolic heterogeneity characterized by textural features in cervical cancer
Fei Yang et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2013)
Type I and II Endometrial Cancers: Have They Different Risk Factors?
Veronica Wendy Setiawan et al.
JOURNAL OF CLINICAL ONCOLOGY (2013)
Integrated genomic characterization of endometrial carcinoma
Gad Getz et al.
NATURE (2013)
Radiomics: the process and the challenges
Virendra Kumar et al.
MAGNETIC RESONANCE IMAGING (2012)
Long-standing complications after treatment for cancer of the uterine cervix-clinical significance of medical examination at 5 years after treatment
Y Matsuura et al.
INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER (2006)