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Accuracy of Breast MRI in Patients Receiving Neoadjuvant Endocrine Therapy: Comprehensive Imaging Analysis and Correlation with Clinical and Pathological Assessments

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Specialty Oncology
Date 2020 Aug 14
PMID 32789592
Citations 6
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Abstract

Purpose: To assess the accuracy of magnetic resonance imaging (MRI) measurements in locally advanced oestrogen receptor-positive and human epidermal growth factor receptor 2-negative breast tumours before, during and after neoadjuvant endocrine treatment (NET) for evaluation of tumour response in comparison with clinical and pathological assessments.

Methods: This prospective study enrolled postmenopausal patients treated neoadjuvant with letrozole and exemestane given sequentially in an intra-patient cross-over regimen. Fifty-four patients were initially recruited, but only 35 fulfilled the inclusion criteria and confirmed to participate with a median age of 77. Tumours were scanned with MRI prior to treatment, during the eighth week of treatment and prior to surgery. Additionally, changes in longest diameter on clinical examination (CE) and tumour size at pathology were determined. Pre- and post-operative measurements of tumour size were compared in order to evaluate tumour response.

Results: The correlation between post-treatment MRI size and pathology was moderate and higher with a correlation coefficient (r) 0.64 compared to the correlation between CE and pathology r = 0.25. Post-treatment MRI and clinical results had a negligible bias towards underestimation of lesion size. Tumour size on MRI and CE had 0.82 cm and 0.52 cm lower mean size than tumour size measured by pathology, respectively.

Conclusions: The higher correlation between measurements of residual disease obtained on MRI and those obtained with pathology validates the accuracy of imaging assessment during NET. MRI was found to be more accurate for estimating complete responses than clinical assessments and warrants further investigation in larger cohorts to validate this finding.

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References
1.
Eisenhauer E, Therasse P, Bogaerts J, Schwartz L, Sargent D, Ford R . New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2008; 45(2):228-47. DOI: 10.1016/j.ejca.2008.10.026. View

2.
Fowler A, Mankoff D, Joe B . Imaging Neoadjuvant Therapy Response in Breast Cancer. Radiology. 2017; 285(2):358-375. DOI: 10.1148/radiol.2017170180. View

3.
Bodini M, Berruti A, Bottini A, Allevi G, Fiorentino C, Brizzi M . Magnetic resonance imaging in comparison to clinical palpation in assessing the response of breast cancer to epirubicin primary chemotherapy. Breast Cancer Res Treat. 2004; 85(3):211-8. DOI: 10.1023/B:BREA.0000025409.69516.23. View

4.
Mennella S, Garlaschi A, Paparo F, Perillo M, Celenza M, Massa T . Magnetic resonance imaging of breast cancer: factors affecting the accuracy of preoperative lesion sizing. Acta Radiol. 2014; 56(3):260-8. DOI: 10.1177/0284185114524089. View

5.
Leal F, Liutti V, Antunes dos Santos V, Figueiredo M, Macedo L, Junior J . Neoadjuvant endocrine therapy for resectable breast cancer: A systematic review and meta-analysis. Breast. 2015; 24(4):406-12. DOI: 10.1016/j.breast.2015.03.004. View