Online citations, reference lists, and bibliographies.
Please confirm you are human
(Sign Up for free to never see this)
← Back to Search

Evaluation Of Early Response To Neoadjuvant Chemotherapy Or Breast Cancer : Usefulness Of Texture Analysis Of DCE And Histogram Analysis Of DW-MRI [Presidential Award Proceedings]

Y. Kuroki, N. Ohashi, Keishi Watanabe, Tokiko Niimura, Shinji Niimura, A. Ikehara, Kei Iha
Published 2019 · Medicine

Save to my Library
Download PDF
Analyze on Scholarcy
This paper references
Magnetic resonance imaging texture analysis classification of primary breast cancer
S. Waugh (2015)
Textural analysis of contrast‐enhanced MR images of the breast
P. Gibbs (2003)
Prognostic value of pretreatment dynamic contrast-enhanced MR imaging in breast cancer patients receiving neoadjuvant chemotherapy: Overall survival predicted from combined time course and volume analysis
M. G. Heldahl (2010)
Breast Cancer Heterogeneity: MR Imaging Texture Analysis and Survival Outcomes.
J. Kim (2017)
MRI kinetics with volumetric analysis in correlation with hormonal receptor subtypes and histologic grade of invasive breast cancers.
L. Leong (2015)
Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: preliminary evidence of an association with tumour metabolism, stage, and survival.
B. Ganeshan (2012)
Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation
Chintan Parmar (2014)
Characterization of breast cancer types by texture analysis of magnetic resonance images.
K. Holli (2010)
Correlation between High Resolution Dynamic MR Features and Prognostic Factors in Breast Cancer
S. Lee (2008)
Volumetric texture analysis of breast lesions on contrast‐enhanced magnetic resonance images
W. Chen (2007)
Pretreatment Prognostic Value of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Vascular, Texture, Shape, and Size Parameters Compared With Traditional Survival Indicators Obtained From Locally Advanced Breast Cancer Patients
M. Pickles (2016)
Identifying Triple-Negative Breast Cancer Using Background Parenchymal Enhancement Heterogeneity on Dynamic Contrast-Enhanced MRI: A Pilot Radiomics Study
J. Wang (2015)
Changes in primary breast cancer heterogeneity may augment midtreatment MR imaging assessment of response to neoadjuvant chemotherapy.
Jyoti K. Parikh (2014)
Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker.
V. Goh (2011)
Assessment of primary colorectal cancer heterogeneity by using whole-tumor texture analysis: contrast-enhanced CT texture as a biomarker of 5-year survival.
F. Ng (2013)

Semantic Scholar Logo Some data provided by SemanticScholar