Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI

Time-to-enhancement at ultrafast breast DCE-MRI: potential imaging biomarker of tumour aggressiveness

(2020) Sung Ui Shin et al.   EUROPEAN RADIOLOGY

How to develop a meaningful radiomic signature for clinical use in oncologic patients

(2020) Nikolaos Papanikolaou et al.   CANCER IMAGING

Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers

(2020) Yang Zhang et al.   EUROPEAN RADIOLOGY

Predicting Response to Cancer Immunotherapy using Non-invasive Radiomic Biomarkers

(2019) S Trebeschi et al.   ANNALS OF ONCOLOGY

Diffusion MRI of the breast: Current status and future directions

(2019) Mami Iima et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Machine Learning Approaches to Radiogenomics of Breast Cancer using Low-Dose Perfusion Computed Tomography: Predicting Prognostic Biomarkers and Molecular Subtypes

(2019) Eun Kyung Park et al.   Scientific Reports

Texture Analysis with 3.0-T MRI for Association of Response to Neoadjuvant Chemotherapy in Breast Cancer

(2019) Na Lae Eun et al.   RADIOLOGY

Eighth Edition of the AJCC Cancer Staging Manual: Breast Cancer

(2018) Armando E. Giuliano et al.   ANNALS OF SURGICAL ONCOLOGY

A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features

(2018) Ashirbani Saha et al.   BRITISH JOURNAL OF CANCER

Features from Computerized Texture Analysis of Breast Cancers at Pretreatment MR Imaging Are Associated with Response to Neoadjuvant Chemotherapy

(2018) Foucauld Chamming’s et al.   RADIOLOGY

Current Applications and Future Impact of Machine Learning in Radiology

(2018) Garry Choy et al.   RADIOLOGY

Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer

(2018) Sigmund Ytre-Hauge et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Histogram analysis of quantitative pharmacokinetic parameters on DCE-MRI: correlations with prognostic factors and molecular subtypes in breast cancer

(2018) Ken Nagasaka et al.   Breast Cancer

Role of perfusion parameters on DCE-MRI and ADC values on DWMRI for invasive ductal carcinoma at 3.0 Tesla

(2018) Fei Liu et al.   World Journal of Surgical Oncology

Breast Cancer Heterogeneity: MR Imaging Texture Analysis and Survival Outcomes

(2017) Jae-Hun Kim et al.   RADIOLOGY

Applications and limitations of radiomics

(2016) Stephen S F Yip et al.   PHYSICS IN MEDICINE AND BIOLOGY

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

DCE-MRI Perfusion and Permeability Parameters as predictors of tumor response to CCRT in Patients with locally advanced NSCLC

(2016) Xiuli Tao et al.   Scientific Reports

CT textural analysis of hepatic metastatic colorectal cancer: pre-treatment tumor heterogeneity correlates with pathology and clinical outcomes

(2015) Meghan G. Lubner et al.   ABDOMINAL IMAGING

Magnetic resonance imaging texture analysis classification of primary breast cancer

(2015) S. A. Waugh et al.   EUROPEAN RADIOLOGY

Prognostic Value of Computed Tomography Texture Features in Non–Small Cell Lung Cancers Treated With Definitive Concomitant Chemoradiotherapy

(2015) Su Yeon Ahn et al.   INVESTIGATIVE RADIOLOGY

Machine Learning methods for Quantitative Radiomic Biomarkers

(2015) Chintan Parmar et al.   Scientific Reports

Improving tumour heterogeneity MRI assessment with histograms

(2014) N Just   BRITISH JOURNAL OF CANCER

Is there any correlation between model-based perfusion parameters and model-free parameters of time-signal intensity curve on dynamic contrast enhanced MRI in breast cancer patients?

(2014) Boram Yi et al.   EUROPEAN RADIOLOGY

Breast Cancer: Early Prediction of Response to Neoadjuvant Chemotherapy Using Parametric Response Maps for MR Imaging

(2014) Nariya Cho et al.   RADIOLOGY

Correlation of dynamic contrast-enhanced MRI perfusion parameters with angiogenesis and biologic aggressiveness of rectal cancer: Preliminary results

(2013) Dong-Myung Yeo et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers

(2012) Hye Ryoung Koo et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Tumour ADC measurements in rectal cancer: effect of ROI methods on ADC values and interobserver variability

(2011) Doenja M. J. Lambregts et al.   EUROPEAN RADIOLOGY

Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis

(2010) A Karahaliou et al.   BRITISH JOURNAL OF RADIOLOGY