Literature DB >> 35527481

[Differential diagnosis of benign and malignant breast lesions using quantitative synthetic magnetic resonance imaging].

Liying Zhang1, Xin Zhao1, Xing Yin1.   

Abstract

OBJECTIVE: To investigate the value of quantitative synthetic magnetic resonance imaging (SyMRI) in distinguishing between benign and malignant breast lesions.
METHODS: We retrospectively collected data of preoperative conventional MRI and multi-dynamic multi-echo sequences from 95 patients with breast lesions showing mass-type enhancement on DCE-MRI, including 27 patients with benign lesions and 68 with malignant lesions. The MRI features of the lesions (shape, margin, internal enhancement pattern, time-signal intensity curve, and T2WI signal) were analyzed, and for each lesion, SyMRI-generated quantitative parameters including T1 and T2 relaxation time and proton density (PD) were measured before and after enhancement and recorded as T1p, T2p, PDp and T1e, T2e, and PDe, respectively. The relative change rate of each parameter was calculated. Logistic regression and all-subset regression analyses were performed for variable selection to construct diagnostic models of the breast lesions, and receiver-operating characteristic (ROC) analysis was used to assess the performance of each model for differentiation of benign and malignant lesions.
RESULTS: There were significant differences in the MRI features between benign and malignant lesions (P < 0.05). All the SyMRI-generated quantitative parameters, with the exception of T2e and Pdp, showed significant differences between benign and malignant lesions (P < 0.05). Among the constructed diagnostic models, the model based on all the DCE-MRI features combined with SyMRI parameters T2p and T1e (DCE-MRI+T2p+T1e) showed the best performance in the differential diagnosis malignant breast masses with an AUC of 0.995 (95% CI: 0.983-1.000).
CONCLUSION: Quantitative SyMRI can be used for differential diagnosis of benign and malignant breast lesions.

Entities:  

Keywords:  breast lesions; quantitative parameters; synthetic magnetic resonance imaging

Mesh:

Substances:

Year:  2022        PMID: 35527481      PMCID: PMC9085598          DOI: 10.12122/j.issn.1673-4254.2022.04.01

Source DB:  PubMed          Journal:  Nan Fang Yi Ke Da Xue Xue Bao        ISSN: 1673-4254


  25 in total

1.  T2 Mapping in Prostate Cancer.

Authors:  Julia Mai; Mohamed Abubrig; Thomas Lehmann; Tom Hilbert; Elisabeth Weiland; Marc O Grimm; Ulf Teichgräber; Tobias Franiel
Journal:  Invest Radiol       Date:  2019-03       Impact factor: 6.016

2.  Novel method for rapid, simultaneous T1, T2*, and proton density quantification.

Authors:  J B M Warntjes; O Dahlqvist; P Lundberg
Journal:  Magn Reson Med       Date:  2007-03       Impact factor: 4.668

3.  Feasibility of T1 mapping with histogram analysis for the diagnosis and staging of liver fibrosis: Preclinical results.

Authors:  Qing Wang; HaiFeng Liu; ZuHui Zhu; Ye Sheng; YaNan Du; YuFeng Li; JianHong Liu; JiLei Zhang; Wei Xing
Journal:  Magn Reson Imaging       Date:  2020-11-24       Impact factor: 2.546

4.  Association of DW/DCE-MRI features with prognostic factors in breast cancer.

Authors:  Guoliang Shao; Linyin Fan; Juan Zhang; Gang Dai; Tieming Xie
Journal:  Int J Biol Markers       Date:  2017-03-02       Impact factor: 2.659

5.  Investigation of Synthetic Relaxometry and Diffusion Measures in the Differentiation of Benign and Malignant Breast Lesions as Compared to BI-RADS.

Authors:  Weibo Gao; Shuqun Zhang; Jinxia Guo; Xiaocheng Wei; Xiaohui Li; Yan Diao; Wei Huang; Yue Yao; Ali Shang; Yanyan Zhang; Quanxin Yang; Xin Chen
Journal:  J Magn Reson Imaging       Date:  2020-11-12       Impact factor: 4.813

6.  Changes of T2 Relaxation Time From Neoadjuvant Chemotherapy in Breast Cancer Lesions.

Authors:  Li Liu; Bo Yin; Dao Ying Geng; Yi Ping Lu; Wei Jun Peng
Journal:  Iran J Radiol       Date:  2016-01-09       Impact factor: 0.212

Review 7.  SyMRI of the Brain: Rapid Quantification of Relaxation Rates and Proton Density, With Synthetic MRI, Automatic Brain Segmentation, and Myelin Measurement.

Authors:  Akifumi Hagiwara; Marcel Warntjes; Masaaki Hori; Christina Andica; Misaki Nakazawa; Kanako Kunishima Kumamaru; Osamu Abe; Shigeki Aoki
Journal:  Invest Radiol       Date:  2017-10       Impact factor: 6.016

8.  A pilot study of native T1-mapping for focal pulmonary lesions in 3.0 T magnetic resonance imaging: size estimation and differential diagnosis.

Authors:  Shuyi Yang; Fei Shan; Qinqin Yan; Jie Shen; Peiyan Ye; Zhiyong Zhang; Yuxin Shi; Rengyin Zhang
Journal:  J Thorac Dis       Date:  2020-05       Impact factor: 2.895

9.  The diagnostic performance of quantitative mapping in breast cancer patients: a preliminary study using synthetic MRI.

Authors:  Tiebao Meng; Ni He; Haoqiang He; Kuiyuan Liu; Liangru Ke; Huiming Liu; Linchang Zhong; Chenghui Huang; Anli Yang; Chunyan Zhou; Long Qian; Chuanmiao Xie
Journal:  Cancer Imaging       Date:  2020-12-14       Impact factor: 3.909

10.  Role of quantitative analysis of T2 relaxation time in differentiating benign from malignant breast lesions.

Authors:  Li Liu; Bo Yin; Kawai Shek; Daoying Geng; Yiping Lu; Jianbo Wen; Xinping Kuai; Weijun Peng
Journal:  J Int Med Res       Date:  2018-03-20       Impact factor: 1.671

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.