Apparent Diffusion Coefficient in Invasive Ductal Breast Carcinoma: Correlation With Detailed Histologic Features and the Enhancement Ratio on Dynamic Contrast-Enhanced MR Images

Journal of Oncology - United States
doi 10.1155/2010/821048
Full Text
Abstract

Available in full text

Categories
Oncology
Date
Authors
Publisher

Hindawi Limited

Related search

Apparent Diffusion Coefficient in Estrogen Receptor–Positive Invasive Ductal Breast Carcinoma: Correlations With Tumor-Stroma Ratio

Radiology
Nuclear MedicineRadiologyImaging
2014English

Correlation Between 3T Apparent Diffusion Coefficient Values and Grading of Invasive Breast Carcinoma

Breast Diseases
OncologySurgery
2015English

Association Between Parenchymal Enhancement of the Contralateral Breast in Dynamic Contrast-Enhanced MR Imaging and Outcome of Patients With Unilateral Invasive Breast Cancer

Radiology
Nuclear MedicineRadiologyImaging
2015English

Clinicopathologic Features of Invasive Metaplastic and Micropapillary Breast Carcinoma: Comparison With Invasive Ductal Carcinoma of Breast

BMC Research Notes
BiochemistryMedicineGeneticsMolecular Biology
2018English

Mixed Invasive Ductal and Lobular Carcinoma of the Breast: Prognosis and the Importance of Histologic Grade

Oncologist
Cancer ResearchMedicineOncology
2019English

Diagnosis of Breast Masses From Dynamic Contrast-Enhanced and Diffusion-Weighted MR: A Machine Learning Approach

PLoS ONE
Multidisciplinary
2014English

Breast Cancer or an Insidious Disease? Idiopathic Granulomatous Mastitis, Its Ultrasonographic, Dynamic Contrast-Enhanced MR and Diffusion MR Characteristics With a Literature Review

Acta Oncologica Turcica
2017English

Dynamic High-Spatial-Resolution MR Imaging of Invasive Ductal Carcinoma: Influence of Histological Scirrhous Component on MR Descriptors

Magnetic Resonance in Medical Sciences
Nuclear MedicineRadiologyImaging
2006English

Scale-Invariant Segmentation of Dynamic Contrast-Enhanced Perfusion MR Images With Inherent Scale Selection

The Journal of Visualization and Computer Animation
2002English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy