Precision medicine and radiogenomics in breast cancer: new approaches toward diagnosis and treatment
Precision medicine is medicine optimized to the genotypic and phenotypic characteristics of
an individual and, when present, his or her disease. It has a host of targets, including genes …
an individual and, when present, his or her disease. It has a host of targets, including genes …
Background, current role, and potential applications of radiogenomics
K Pinker, F Shitano, E Sala, RK Do… - Journal of Magnetic …, 2018 - Wiley Online Library
With the genomic revolution in the early 1990s, medical research has been driven to study
the basis of human disease on a genomic level and to devise precise cancer therapies …
the basis of human disease on a genomic level and to devise precise cancer therapies …
Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
NM Braman, M Etesami, P Prasanna, C Dubchuk… - Breast Cancer …, 2017 - Springer
Background In this study, we evaluated the ability of radiomic textural analysis of
intratumoral and peritumoral regions on pretreatment breast cancer dynamic contrast …
intratumoral and peritumoral regions on pretreatment breast cancer dynamic contrast …
Association of peritumoral radiomics with tumor biology and pathologic response to preoperative targeted therapy for HER2 (ERBB2)–positive breast cancer
Importance There has been significant recent interest in understanding the utility of
quantitative imaging to delineate breast cancer intrinsic biological factors and therapeutic …
quantitative imaging to delineate breast cancer intrinsic biological factors and therapeutic …
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set
Using quantitative radiomics, we demonstrate that computer-extracted magnetic resonance
(MR) image-based tumor phenotypes can be predictive of the molecular classification of …
(MR) image-based tumor phenotypes can be predictive of the molecular classification of …
A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features
Background Recent studies showed preliminary data on associations of MRI-based imaging
phenotypes of breast tumours with breast cancer molecular, genomic, and related …
phenotypes of breast tumours with breast cancer molecular, genomic, and related …
Radiomics signature on magnetic resonance imaging: association with disease-free survival in patients with invasive breast cancer
Purpose: To develop a radiomics signature based on preoperative MRI to estimate disease-
free survival (DFS) in patients with invasive breast cancer and to establish a radiomics …
free survival (DFS) in patients with invasive breast cancer and to establish a radiomics …
Deep learning for identifying radiogenomic associations in breast cancer
Rationale and objectives To determine whether deep learning models can distinguish
between breast cancer molecular subtypes based on dynamic contrast-enhanced magnetic …
between breast cancer molecular subtypes based on dynamic contrast-enhanced magnetic …
Radiomic analysis in contrast-enhanced spectral mammography for predicting breast cancer histological outcome
Contrast-Enhanced Spectral Mammography (CESM) is a recently introduced
mammographic method with characteristics particularly suitable for breast cancer radiomic …
mammographic method with characteristics particularly suitable for breast cancer radiomic …
Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer
The purpose of this study was to investigate the role of features derived from breast dynamic
contrast-enhanced magnetic resonance imaging (DCE-MRI) and to incorporated clinical …
contrast-enhanced magnetic resonance imaging (DCE-MRI) and to incorporated clinical …