Literature DB >> 21761463

Monitoring neoadjuvant chemotherapy in breast cancer patients: improved MR assessment at 3 T?

Mariann G Heldahl1, Steinar Lundgren, Line R Jensen, Ingrid S Gribbestad, Tone F Bathen.   

Abstract

PURPOSE: To investigate possible improvements in predicting the response to neoadjuvant chemotherapy (NAC) at 3 T for locally advanced breast cancer (LABC).
MATERIALS AND METHODS: Dynamic contrast-enhanced magnetic resonance (DCE-MR) images acquired before and during NAC were retrospectively analyzed in 85 patients. Tumor volume and diameter, three volumes based on the shape of the enhancement curve, relative signal intensity, area under the curve, and the signal-to-noise ratio were extracted. Differences between responders and nonresponders at the same and between MR timepoints during treatment were evaluated.
RESULTS: A higher signal-to-noise ratio was observed on 3 T images compared to 1.5 T, and 3 T revealed more significant findings related to response compared to 1.5 T. The DCE-MRI-derived volume parameters were the earliest predictors of response at both 1.5 and 3 T.
CONCLUSION: Our results show that 3 T provides an improved assessment of the response to NAC in LABC patients, where the MR determined tumor volume reduction before the second cycle of NAC was the strongest and earliest predictor of a response.
Copyright © 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21761463     DOI: 10.1002/jmri.22642

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  8 in total

Review 1.  The Role of (18)F-FDG PET/CT and MRI in Assessing Pathological Complete Response to Neoadjuvant Chemotherapy in Patients with Breast Cancer: A Systematic Review and Meta-Analysis.

Authors:  Qiufang Liu; Chen Wang; Panli Li; Jianjun Liu; Gang Huang; Shaoli Song
Journal:  Biomed Res Int       Date:  2016-02-15       Impact factor: 3.411

2.  Evaluation of MRI accuracy after primary systemic therapy in breast cancer patients considering tumor biology: optimizing the surgical planning.

Authors:  Alberto Bouzón; Ángela Iglesias; Benigno Acea; Cristina Mosquera; Paz Santiago; Joaquín Mosquera
Journal:  Radiol Oncol       Date:  2019-05-08       Impact factor: 2.991

3.  Breast cancer: influence of tumour volume estimation method at MRI on prediction of pathological response to neoadjuvant chemotherapy.

Authors:  Shelley A Henderson; Nazleen Muhammad Gowdh; Colin A Purdie; Lee B Jordan; Andrew Evans; Tracy Brunton; Alastair M Thompson; Sarah Vinnicombe
Journal:  Br J Radiol       Date:  2018-05-02       Impact factor: 3.039

Review 4.  Clinical application of magnetic resonance imaging in management of breast cancer patients receiving neoadjuvant chemotherapy.

Authors:  Jeon-Hor Chen; Min-Ying Su
Journal:  Biomed Res Int       Date:  2013-06-05       Impact factor: 3.411

5.  Magnetic resonance imaging features of breast cancer according to intrinsic subtypes: correlations with neoadjuvant chemotherapy effects.

Authors:  Hiroko Kawashima; Masafumi Inokuchi; Hiroyuki Furukawa; Hiroko Ikeda; Seiko Kitamura
Journal:  Springerplus       Date:  2014-05-09

6.  Diffusion-weighted MR imaging in prediction of response to neoadjuvant chemotherapy in patients with breast cancer.

Authors:  Xue-Ying Hu; Ying Li; Guan-Qiao Jin; Shao-Lv Lai; Xiang-Yang Huang; Dan-Ke Su
Journal:  Oncotarget       Date:  2017-07-05

7.  Role of the Intravoxel Incoherent Motion Diffusion Weighted Imaging in the Pre-treatment Prediction and Early Response Monitoring to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer.

Authors:  Shunan Che; Xinming Zhao; Yanghan Ou; Jing Li; Meng Wang; Bing Wu; Chunwu Zhou
Journal:  Medicine (Baltimore)       Date:  2016-01       Impact factor: 1.889

8.  Impact of MRI Protocol Adherence on Prediction of Pathological Complete Response in the I-SPY 2 Neoadjuvant Breast Cancer Trial.

Authors:  Natsuko Onishi; Wen Li; Jessica Gibbs; Lisa J Wilmes; Alex Nguyen; Ella F Jones; Vignesh Arasu; John Kornak; Bonnie N Joe; Laura J Esserman; David C Newitt; Nola M Hylton
Journal:  Tomography       Date:  2020-06
  8 in total

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