Literature DB >> 30215550

The feasibility of synthetic MRI in breast cancer patients: comparison of T2 relaxation time with multiecho spin echo T2 mapping method.

Yongsik Jung1, Sung-Min Gho2, Seung Nam Back2, Taeyang Ha3, Doo Kyoung Kang3, Tae Hee Kim3.   

Abstract

OBJECTIVE: : To compare the T2 relaxation times acquired with synthetic MRI to those of multi-echo spin-echo sequences and to evaluate the usefulness of synthetic MRI in the clinical setting.
METHODS: : From January 2017 to May 2017, we included 51 patients with newly diagnosed breast cancer, who underwent additional synthetic MRI and multiecho spin echo (MESE) T2 mapping sequences. Synthetic MRI technique uses a multiecho and multidelay acquisition method for the simultaneous quantification of physical properties such as T1 and T2 relaxation times and proton density image map. A radiologist with 9 years of experience in breast imaging drew region of interests manually along the tumor margins on two consecutive axial sections including the center of tumor mass and in the fat tissue of contralateral breast on both synthetic T2 map and MESE T2 map images.
RESULTS: : The mean T2 relaxation time of the cancer was 84.75 ms (± 15.54) by synthetic MRI and 90.35 ms (± 19.22) by MESE T2 mapping. The mean T2 relaxation time of the fat was 129.22 ms (± 9.53) and 102.11 ms (± 13.9), respectively. Bland-Altman analysis showed mean difference of 8.4 ms for the breast cancer and a larger mean difference of 27.8 ms for the fat tissue. Spearman's correlation test showed that there was significant positive correlation between synthetic MRI and MESE sequences for the cancer (r = 0.713, p < 0.001) and for the fat (r = 0.551, p < 0.001). The positive estrogen receptor and low histologic grade were associated with little differences between two methods (p = 0.02  and = 0.043, respectively).
CONCLUSION: : T2 relaxation times of breast cancer acquired with synthetic MRI showed positive correlation with those of MESE T2 mapping. Synthetic MRI could be useful for the evaluation of tissue characteristics by simultaneous acquisition of several quantitative physical properties. ADVANCES IN KNOWLEDGE:: Synthetic MRI is useful for the evaluation of T2 relaxation times of the breast cancers.

Entities:  

Year:  2018        PMID: 30215550      PMCID: PMC6435064          DOI: 10.1259/bjr.20180479

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  11 in total

1.  Quantification of brown adipose tissue in vivo using synthetic magnetic resonance imaging: an experimental study with mice model.

Authors:  Mengjuan Huo; Junzhao Ye; Zhi Dong; Huasong Cai; Meng Wang; Guoping Yin; Long Qian; Zi-Ping Li; Bihui Zhong; Shi-Ting Feng
Journal:  Quant Imaging Med Surg       Date:  2022-01

2.  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

3.  Quantitative Synthetic Magnetic Resonance Imaging for Brain Metastases: A Feasibility Study.

Authors:  Amaresha Shridhar Konar; Akash Deelip Shah; Ramesh Paudyal; Maggie Fung; Suchandrima Banerjee; Abhay Dave; Vaios Hatzoglou; Amita Shukla-Dave
Journal:  Cancers (Basel)       Date:  2022-05-27       Impact factor: 6.575

4.  Preoperative volumetric synthetic magnetic resonance imaging of the primary tumor for a more accurate prediction of lymph node metastasis in rectal cancer.

Authors:  Li Zhao; Meng Liang; Zhuo Shi; Lizhi Xie; Hongmei Zhang; Xinming Zhao
Journal:  Quant Imaging Med Surg       Date:  2021-05

5.  The effect of scan parameters on T1, T2 relaxation times measured with multi-dynamic multi-echo sequence: a phantom study.

Authors:  Zuofeng Zheng; Jiafei Yang; Dongpo Zhang; Jun Ma; Hongxia Yin; Yawen Liu; Zhenchang Wang
Journal:  Phys Eng Sci Med       Date:  2022-05-13

6.  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

7.  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 8.  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

9.  Application of MAGnetic resonance imaging compilation in acute ischemic stroke.

Authors:  Qi Wang; Gang Wang; Qiang Sun; Di-He Sun
Journal:  World J Clin Cases       Date:  2021-12-16       Impact factor: 1.337

10.  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

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