Literature DB >> 32227407

Role of MRI to Assess Response to Neoadjuvant Therapy for Breast Cancer.

Beatriu Reig1,2, Laura Heacock1,2, Alana Lewin1,2, Nariya Cho3,4, Linda Moy1,2,5,6.   

Abstract

The goals of imaging after neoadjuvant therapy for breast cancer are to monitor the response to therapy and facilitate surgical planning. MRI has been found to be more accurate than mammography, ultrasound, or clinical exam in evaluating treatment response. However, MRI may both overestimate and underestimate residual disease. The accuracy of MRI is dependent on tumor morphology, histology, shrinkage pattern, and molecular subtype. Emerging MRI techniques that combine functional information such as diffusion, metabolism, and hypoxia may improve MR accuracy. In addition, machine-learning techniques including radiomics and radiogenomics are being studied with the goal of predicting response on pretreatment imaging. This article comprehensively reviews response assessment on breast MRI and highlights areas of ongoing research. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 3 J. MAGN. RESON. IMAGING 2020;52:1587-1606.
© 2020 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MRI; breast cancer; neoadjuvant chemotherapy; precision medicine; preoperative chemotherapy

Mesh:

Year:  2020        PMID: 32227407     DOI: 10.1002/jmri.27145

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


  9 in total

Review 1.  Abbreviated MR Imaging for Breast Cancer.

Authors:  Laura Heacock; Alana A Lewin; Hildegard K Toth; Linda Moy; Beatriu Reig
Journal:  Radiol Clin North Am       Date:  2020-11-02       Impact factor: 2.303

2.  Preoperative Breast Magnetic Resonance Imaging as a Predictor of Response to Neoadjuvant Chemotherapy.

Authors:  Robert Browne; Peter McAnena; Niamh O'Halloran; Brian M Moloney; Emily Crilly; Michael J Kerin; Aoife J Lowery
Journal:  Breast Cancer (Auckl)       Date:  2022-06-24

3.  Circulating tumor DNA and magnetic resonance imaging to predict neoadjuvant chemotherapy response and recurrence risk.

Authors:  Mark Jesus M Magbanua; Wen Li; Denise M Wolf; Christina Yau; Gillian L Hirst; Lamorna Brown Swigart; David C Newitt; Jessica Gibbs; Amy L Delson; Ekaterina Kalashnikova; Alexey Aleshin; Bernhard Zimmermann; A Jo Chien; Debu Tripathy; Laura Esserman; Nola Hylton; Laura van 't Veer
Journal:  NPJ Breast Cancer       Date:  2021-03-25

4.  Radiomics of Tumor Heterogeneity in Longitudinal Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Ming Fan; Hang Chen; Chao You; Li Liu; Yajia Gu; Weijun Peng; Xin Gao; Lihua Li
Journal:  Front Mol Biosci       Date:  2021-03-22

Review 5.  Post-Neoadjuvant Treatment Strategies in Breast Cancer.

Authors:  Christiane Matuschek; Danny Jazmati; Edwin Bölke; Bálint Tamaskovics; Stefanie Corradini; Wilfried Budach; David Krug; Svjetlana Mohrmann; Eugen Ruckhäberle; Tanja Fehm; Carolin Nestle Krämling; Markus Dommach; Jan Haussmann
Journal:  Cancers (Basel)       Date:  2022-02-28       Impact factor: 6.639

6.  Meta-Analysis of Shrinkage Mode After Neoadjuvant Chemotherapy for Breast Cancers: Association With Hormonal Receptor.

Authors:  Chun-Hui Zheng; Kai Xu; Wen-Ping Shan; Ya-Kun Zhang; Zhi-De Su; Xiang-Jin Gao; Yu-Jue Wang; Jian-Yu Qi; Xiao-Yan Ding; Chun-Ping Wang; Yong-Sheng Wang
Journal:  Front Oncol       Date:  2022-04-04       Impact factor: 5.738

Review 7.  Beyond N Staging in Breast Cancer: Importance of MRI and Ultrasound-based Imaging.

Authors:  Valerio Di Paola; Giorgio Mazzotta; Vincenza Pignatelli; Enida Bufi; Anna D'Angelo; Marco Conti; Camilla Panico; Vincenzo Fiorentino; Francesco Pierconti; Fleur Kilburn-Toppin; Paolo Belli; Riccardo Manfredi
Journal:  Cancers (Basel)       Date:  2022-08-31       Impact factor: 6.575

Review 8.  Breast Cancer-How Can Imaging Help?

Authors:  Roxana Iacob; Diana Luminita Manolescu; Emil Robert Stoicescu; Antonio Fabian; Daniel Malita; Cristian Oancea
Journal:  Healthcare (Basel)       Date:  2022-06-22

9.  AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis.

Authors:  V Romeo; P Clauser; S Rasul; P Kapetas; P Gibbs; P A T Baltzer; M Hacker; R Woitek; T H Helbich; K Pinker
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-08-10       Impact factor: 10.057

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.