Integrated multiparametric radiomics and informatics system for characterizing breast tumor characteristics with the OncotypeDX gene assay
Simple Summary Artificial Intelligence methods using machine learning and radiomics is an
emerging area of research for radiological and oncological applications for patient …
emerging area of research for radiological and oncological applications for patient …
Contrast-Enhanced 3-T perfusion MRI with quantitative analysis for the characterization of musculoskeletal tumors: is it worth the trouble?
OBJECTIVE. The purpose of this study was to evaluate the diagnostic performance of
quantitative perfusion parameters in 3-T MRI for benign-malignant differentiation in …
quantitative perfusion parameters in 3-T MRI for benign-malignant differentiation in …
Characterization of breast tumors using machine learning based upon multiparametric magnetic resonance imaging features
Magnetic resonance imaging (MRI) is playing an important role in the classification of breast
tumors. MRI can be used to obtain multiparametric (mp) information, such as structural …
tumors. MRI can be used to obtain multiparametric (mp) information, such as structural …
DCE-MRI-derived parameters in evaluating abraxane-induced early vascular response and the effectiveness of its synergistic interaction with cisplatin
X Sun, L Yang, X Yan, Y Sun, D Zhao, Y Ji, K Wang… - PLoS …, 2016 - journals.plos.org
Our previous studies revealed molecular alterations of tumor vessels, varying from immature
to mature alterations, resulting from Abraxane, and demonstrated that the integrin-specific …
to mature alterations, resulting from Abraxane, and demonstrated that the integrin-specific …
Total variation based DCE‐MRI decomposition by separating lesion from background for time‐intensity curve estimation
Purpose This study aims to obtain the accurate time intensity curve (TIC) of a dynamic
contrast‐enhanced magnetic resonance image (DCE‐MRI) by eliminating the normal tissue …
contrast‐enhanced magnetic resonance image (DCE‐MRI) by eliminating the normal tissue …
[HTML][HTML] Diagnostic interplay of proton magnetic resonance spectroscopy and diffusion weighted images with apparent diffusion coefficient values in suspicious breast …
RE Mohamed, HA Zytoon, MA Amin - The Egyptian Journal of Radiology …, 2018 - Elsevier
Aim of the work To study the diagnostic performance of combined single voxel 1H-MRS and
DW-MRI with ADC values as a non-contrast diagnostic tool, compared to the DCE-MRI, in …
DW-MRI with ADC values as a non-contrast diagnostic tool, compared to the DCE-MRI, in …
Feature extraction and analysis for characterization of breast lesion type using multi-parametric MRI
S Thakran, S Chatterjee… - Proc Intl Soc Mag …, 2018 - archive.ismrm.org
Quantitative analysis of T 1-perfusion data provides estimation of hemodynamic and
physiological parameters of tissue. Texture analysis uses mathematical approach to …
physiological parameters of tissue. Texture analysis uses mathematical approach to …
Diagnostic Accuracy of Contrast-Enhanced MRI for Detecting the Malignant Breast Lesions
M Yaseen, S Naqvi, A Saleem, R Nasreen… - Journal of Rawalpindi …, 2021 - journalrmc.com
Objectives: To determine the accuracy of contrast-enhanced MRI in the diagnosis and
detection of breast lesions and their malignant potential by taking the gold standard of …
detection of breast lesions and their malignant potential by taking the gold standard of …
Characterization of Breast Lesion using T1-perfusion MRI: Semi-Quantitative Vs Quantitative Analysis
In this study role of hemodynamic parameters (breast-blood-volume and breast blood-flow),
obtained using T 1-perfusion MRI data of breast, in the differentiation of benign from …
obtained using T 1-perfusion MRI data of breast, in the differentiation of benign from …