Literature DB >> 29954674

Magnetic Resonance Imaging (MRI) Assessment of Residual Breast Cancer After Neoadjuvant Chemotherapy: Relevance to Tumor Subtypes and MRI Interpretation Threshold.

Yunju Kim1, Sung Hoon Sim2, Boram Park3, Keun Seok Lee4, In Hye Chae1, In Hae Park4, Youngmi Kwon1, So-Youn Jung4, Seeyoun Lee4, Kyounglan Ko4, Han-Sung Kang1, Chan Wha Lee1, Eun Sook Lee4.   

Abstract

PURPOSE: To investigate the diagnostic performance of magnetic resonance imaging (MRI) for predicting pathologic complete response after neoadjuvant chemotherapy (NAC) depending on subtypes of breast cancer using different interpretation thresholds of MRI negativity. PATIENTS AND METHODS: A total of 353 women with breast cancer who had undergone NAC were included. Pathologic examination after complete surgical excision was the reference standard. Tumors were divided into 4 subtypes on the basis of expression of hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2). Tumor enhancement was assessed on early and late phases of MRI. MRI negativity was divided into radiologic complete response (rCR, complete absence of enhancement on both early and late phases) and near-rCR (no discernible early enhancement but observed late enhancement).
RESULTS: Ninety (25.5%) of 353 patients experienced pathologic complete response. When analyzing the data of all patients, sensitivity of MRI was higher for rCR versus near-rCR (97.72% vs. 90.49%, P < .0001), whereas specificity was lower for rCR versus near-rCR (44.44% vs. 72.22%, P < .0001). Accuracy was equivalent (84.14% vs. 85.84%). In HR-HER2+ tumors, 100% sensitivity and negative predictive value were achieved by assessing early enhancement only. In HR+HER2- tumors, sensitivity of MRI was higher for rCR versus near-rCR (96.12% vs. 86.82%, P = .0005).
CONCLUSION: Diagnostic performance of MRI after NAC differs in accordance with the subtypes and threshold of MRI negativity. MRI assessment with consideration of tumor subtypes is required, along with standardization of MRI interpretation criteria in the NAC setting.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast neoplasms; Neoadjuvant therapy; Pathologic complete remission; Residual disease; pCR

Mesh:

Substances:

Year:  2018        PMID: 29954674     DOI: 10.1016/j.clbc.2018.05.009

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  5 in total

1.  Prediction of Pathologic Complete Response by Ultrasonography and Magnetic Resonance Imaging After Neoadjuvant Chemotherapy in Patients with Breast Cancer.

Authors:  Kai Zhang; Jiawei Li; Qian Zhu; Cai Chang
Journal:  Cancer Manag Res       Date:  2020-04-16       Impact factor: 3.989

2.  Criteria for identifying residual tumours after neoadjuvant chemotherapy of breast cancers: a magnetic resonance imaging study.

Authors:  Yunju Kim; Sung Hoon Sim; Boram Park; In Hye Chae; Jai Hong Han; So-Youn Jung; Seeyoun Lee; Youngmi Kwon; In Hae Park; Kyounglan Ko; Chan Wha Lee; Keun Seok Lee; Han-Sung Kang; Eun Sook Lee
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

3.  Diagnostic Value of Dynamic Enhanced Magnetic Resonance Imaging Combined with Serum CA15-3, CYFRA21-1, and TFF1 for Breast Cancer.

Authors:  Feng Xue; Yu Meng; Jie Jiang
Journal:  J Healthc Eng       Date:  2022-03-29       Impact factor: 2.682

Review 4.  Breast Magnetic Resonance Imaging for Patients With Newly Diagnosed Breast Cancer: A Review.

Authors:  Soo-Yeon Kim; Nariya Cho
Journal:  J Breast Cancer       Date:  2022-08       Impact factor: 2.922

5.  Texture Analysis of Dynamic Contrast-Enhanced MRI in Evaluating Pathologic Complete Response (pCR) of Mass-Like Breast Cancer after Neoadjuvant Therapy.

Authors:  Kun Cao; Bo Zhao; Xiao-Ting Li; Yan-Ling Li; Ying-Shi Sun
Journal:  J Oncol       Date:  2019-12-26       Impact factor: 4.375

  5 in total

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