Literature DB >> 32019671

Utility of synthetic MRI in predicting the Ki-67 status of oestrogen receptor-positive breast cancer: a feasibility study.

M Matsuda1, T Kido2, T Tsuda1, K Okada1, Y Shiraishi1, H Suekuni1, Y Kamei3, R Kitazawa4, T Mochizuki5.   

Abstract

AIM: To evaluate the utility of synthetic magnetic resonance imaging (MRI) of the breast in predicting the Ki-67 status in patients with oestrogen receptor (ER)-positive breast cancer.
MATERIALS AND METHODS: Forty-nine patients with 50 histopathologically proven breast cancers who underwent additional synthetic MRI were enrolled in the present study. Using synthetic MRI images, T1 and T2 relaxation times and their standard deviations (SD) in the breast lesions before (T1-Pre, T2-Pre, PD-Pre, SD of T1-Pre, SD of T2-Pre, SD of PD-Pre) and after (T1-Gd, T2-Gd, PD-Gd, SD of T1-Gd, SD of T2-Gd, SD of PD-Gd) contrast agent injection were obtained. These quantitative values were compared between the low Ki-67 expression (<14%) lesions (low-proliferation group: n=23) and high Ki-67 expression (≥14%) lesions (high-proliferation group: n=27).
RESULTS: The univariate analysis showed that the SD of T1-Gd (p<0.001) and T2-Gd (p=0.042) were significantly higher in the high-proliferation group than in the low-proliferation group. Multivariate analysis further showed that the SD of T1-Gd was a significant and independent predictor of Ki-67 expression, with an area under the receiver operating characteristic (AUROC) curve of 0.885. The sensitivity, specificity, and accuracy of the SD of T1-Gd with an optimal cut-off value of 98.5 were 77.8%, 87%, and 82%, respectively.
CONCLUSION: The SD of T1-Gd obtained from synthetic MRI was useful to predict Ki-67 status.
Copyright © 2020 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

Entities:  

Year:  2020        PMID: 32019671     DOI: 10.1016/j.crad.2019.12.021

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  4 in total

1.  Diagnostic performance of synthetic magnetic resonance imaging in the prognostic evaluation of rectal cancer.

Authors:  Lidi Ma; Shanshan Lian; Huimin Liu; Tiebao Meng; Weilong Zeng; Rui Zhong; Linchang Zhong; Chuanmiao Xie
Journal:  Quant Imaging Med Surg       Date:  2022-07

2.  Multiparameter MRI Model With DCE-MRI, DWI, and Synthetic MRI Improves the Diagnostic Performance of BI-RADS 4 Lesions.

Authors:  Shi Yun Sun; Yingying Ding; Zhuolin Li; Lisha Nie; Chengde Liao; Yifan Liu; Jia Zhang; Dongxue Zhang
Journal:  Front Oncol       Date:  2021-10-15       Impact factor: 6.244

Review 3.  Breast Cancer Subtypes and Quantitative Magnetic Resonance Imaging: A Systemic Review.

Authors:  Toshiki Kazama; Taro Takahara; Jun Hashimoto
Journal:  Life (Basel)       Date:  2022-03-28

4.  Investigating the Image Quality and Utility of Synthetic MRI in the Breast.

Authors:  Tomoyuki Fujioka; Mio Mori; Jun Oyama; Kazunori Kubota; Emi Yamaga; Yuka Yashima; Leona Katsuta; Kyoko Nomura; Miyako Nara; Goshi Oda; Tsuyoshi Nakagawa; Ukihide Tateishi
Journal:  Magn Reson Med Sci       Date:  2021-02-02       Impact factor: 2.471

  4 in total

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