Literature DB >> 17098179

MR imaging for assessment of breast cancer response to neoadjuvant chemotherapy.

Nola Hylton1.   

Abstract

Contrast-enhanced MR imaging is being used increasingly because of its high sensitivity to breast cancer and superior ability to demonstrate the extent and distribution of disease. In addition to this direct clinical use, MR imaging in the neoadjuvant treatment setting allows exploration of its potential value in quantifying primary tumor response. The high sensitivity and staging accuracy of MR imaging may yield more accurate classification of objective tumor response using RECIST criteria than clinical examination or mammography. Functional measurements hold the promise of greater sensitivity for detecting biologic effects of targeted treatments than simple anatomic methods.

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Year:  2006        PMID: 17098179     DOI: 10.1016/j.mric.2006.09.001

Source DB:  PubMed          Journal:  Magn Reson Imaging Clin N Am        ISSN: 1064-9689            Impact factor:   2.266


  9 in total

1.  Multiparametric and Multimodality Functional Radiological Imaging for Breast Cancer Diagnosis and Early Treatment Response Assessment.

Authors:  Michael A Jacobs; Antonio C Wolff; Katarzyna J Macura; Vered Stearns; Ronald Ouwerkerk; Riham El Khouli; David A Bluemke; Richard Wahl
Journal:  J Natl Cancer Inst Monogr       Date:  2015-05

Review 2.  In vivo 1H MRS in the assessment of the therapeutic response of breast cancer patients.

Authors:  Uma Sharma; Hyeon Man Baek; Min Ying Su; Naranamangalam R Jagannathan
Journal:  NMR Biomed       Date:  2011-01-28       Impact factor: 4.044

3.  Imaging breast cancer chemotherapy response with light. Commentary on Soliman et al., p. 2605.

Authors:  Bruce J Tromberg; Albert E Cerussi
Journal:  Clin Cancer Res       Date:  2010-04-20       Impact factor: 12.531

4.  Analysis of complete response by MRI following neoadjuvant chemotherapy predicts pathological tumor responses differently for molecular subtypes of breast cancer.

Authors:  Yuji Hayashi; Hiroyuki Takei; Satoshi Nozu; Yoshihiro Tochigi; Akihiro Ichikawa; Naoki Kobayashi; Masafumi Kurosumi; Kenichi Inoue; Takashi Yoshida; Shigenori E Nagai; Hanako Oba; Toshio Tabei; Jun Horiguchi; Izumi Takeyoshi
Journal:  Oncol Lett       Date:  2012-10-30       Impact factor: 2.967

5.  Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles.

Authors:  Ahmed Bilal Ashraf; Dania Daye; Sara Gavenonis; Carolyn Mies; Michael Feldman; Mark Rosen; Despina Kontos
Journal:  Radiology       Date:  2014-04-04       Impact factor: 11.105

6.  Relationship between morphological features and kinetic patterns of enhancement of the dynamic breast magnetic resonance imaging and clinico-pathological and biological factors in invasive breast cancer.

Authors:  Oscar Fernández-Guinea; Alejandro Andicoechea; Luis O González; Salomé González-Reyes; Antonio M Merino; Luis C Hernández; Alfonso López-Muñiz; Paz García-Pravia; Francisco J Vizoso
Journal:  BMC Cancer       Date:  2010-01-08       Impact factor: 4.430

7.  Predictive Value of Breast MRI Background Parenchymal Enhancement for Neoadjuvant Treatment Response among HER2- Patients.

Authors:  Vignesh A Arasu; Paul Kim; Wen Li; Fredrik Strand; Cody McHargue; Roy Harnish; David C Newitt; Ella F Jones; M Maria Glymour; John Kornak; Laura J Esserman; Nola M Hylton
Journal:  J Breast Imaging       Date:  2020-07-22

8.  Breast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy Response.

Authors:  Ahmed Ashraf; Bilwaj Gaonkar; Carolyn Mies; Angela DeMichele; Mark Rosen; Christos Davatzikos; Despina Kontos
Journal:  Transl Oncol       Date:  2015-06       Impact factor: 4.243

9.  Texture Analysis of DCE-MRI Intratumoral Subregions to Identify Benign and Malignant Breast Tumors.

Authors:  Bin Zhang; Lirong Song; Jiandong Yin
Journal:  Front Oncol       Date:  2021-07-08       Impact factor: 6.244

  9 in total

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