Literature DB >> 29742918

Can unenhanced MRI of the breast replace contrast-enhanced MRI in assessing response to neoadjuvant chemotherapy?

Beatrice Cavallo Marincola1, Marianna Telesca1, Fulvio Zaccagna2, Frank Riemer2, Michele Anzidei1, Carlo Catalano1, Federica Pediconi1.   

Abstract

BACKGROUND: The goals of neoadjuvant chemotherapy (NAC) are to reduce tumor volume and to offer a prognostic indicator in assessing treatment response. Contrast-enhanced magnetic resonance imaging (CE-MRI) is an established method for evaluating response to NAC in patients with breast cancer.
PURPOSE: To validate the role of unenhanced MRI (ue-MRI) compared to CE-MRI for assessing response to NAC in women with breast cancer.
MATERIAL AND METHODS: Seventy-one patients with ongoing NAC for breast cancer underwent MRI before, during, and at the end of NAC. Ue-MRI was performed with T2-weighted sequences with iterative decomposition of water and fat and diffusion-weighted sequences. CE-MRI was performed using three-dimensional T1-weighted sequences before and after administration of gadobenate dimeglumine. Two blinded observers rated ue-MRI and CE-MRI for the evaluation of tumor response. Statistical analysis was performed to compare lesion size and ADC values changes during therapy, as well as inter-observer agreement.
RESULTS: There were no statistically significant differences between ue-MRI and CE-MRI sequences for evaluation of lesion size at baseline and after every cycle of treatment ( P > 0.05). The mean tumor ADC values at baseline and across the cycles of NAC were significantly different for the responder group.
CONCLUSION: Ue-MRI can achieve similar results to CE-MRI for the assessment of tumor response to NAC. ADC values can differentiate responders from non-responders.

Entities:  

Keywords:  Breast neoplasms; MRI; chemotherapy; magnetic resonance imaging

Mesh:

Substances:

Year:  2018        PMID: 29742918     DOI: 10.1177/0284185118773512

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  6 in total

1.  Contrast-free MRI quantitative parameters for early prediction of pathological response to neoadjuvant chemotherapy in breast cancer.

Authors:  Siyao Du; Si Gao; Ruimeng Zhao; Hongbo Liu; Yan Wang; Xixun Qi; Shu Li; Jibin Cao; Lina Zhang
Journal:  Eur Radiol       Date:  2022-03-10       Impact factor: 7.034

2.  Factors affecting the concordance of radiologic and pathologic tumor size in breast carcinoma.

Authors:  Ameer Hamza; Sidrah Khawar; Ramen Sakhi; Ahmed Alrajjal; Shelby Miller; Warda Ibrar; Jacob Edens; Sajad Salehi; Daniel Ockner
Journal:  Ultrasound       Date:  2018-10-23

3.  Preoperative Staging in Breast Cancer: Intraindividual Comparison of Unenhanced MRI Combined With Digital Breast Tomosynthesis and Dynamic Contrast Enhanced-MRI.

Authors:  Veronica Rizzo; Giuliana Moffa; Endi Kripa; Claudia Caramanico; Federica Pediconi; Francesca Galati
Journal:  Front Oncol       Date:  2021-05-04       Impact factor: 6.244

Review 4.  Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer.

Authors:  Apekshya Chhetri; Xin Li; Joseph V Rispoli
Journal:  Front Med (Lausanne)       Date:  2020-05-12

5.  Can Multi-Parametric MR Based Approach Improve the Predictive Value of Pathological and Clinical Therapeutic Response in Breast Cancer Patients?

Authors:  Uma Sharma; Khushbu Agarwal; Rani G Sah; Rajinder Parshad; Vurthaluru Seenu; Sandeep Mathur; Siddhartha D Gupta; Naranamangalam R Jagannathan
Journal:  Front Oncol       Date:  2018-08-15       Impact factor: 6.244

6.  Machine Learning Models and Multiparametric Magnetic Resonance Imaging for the Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Carmen Herrero Vicent; Xavier Tudela; Paula Moreno Ruiz; Víctor Pedralva; Ana Jiménez Pastor; Daniel Ahicart; Silvia Rubio Novella; Isabel Meneu; Ángela Montes Albuixech; Miguel Ángel Santamaria; María Fonfria; Almudena Fuster-Matanzo; Santiago Olmos Antón; Eduardo Martínez de Dueñas
Journal:  Cancers (Basel)       Date:  2022-07-19       Impact factor: 6.575

  6 in total

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