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Study of T2 mapping in quantifying and discriminating uterine lesions under different magnetic field strengths: 1.5 T vs. 3.0 T.
Zhu, Liuhong; Lu, Weihong; Wang, Funan; Wang, Yanwei; Wu, Pu-Yeh; Zhou, Jianjun; Liu, Hao.
Afiliação
  • Zhu L; Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, Jihun Road No. 668, Huli District, Xiamen, Fujian, China.
  • Lu W; Xiamen Municipal Clinical Research Center, Xiamen for Medical Imaging, Xiamen, 361015, China.
  • Wang F; Department of Gynaecology Department, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, Fujian, China.
  • Wang Y; Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, Jihun Road No. 668, Huli District, Xiamen, Fujian, China.
  • Wu PY; Department of Radiology, The Second Affiliated Hospital of Xiamen Medical College, Xiamen, Fujian, China.
  • Zhou J; GE Healthcare, Beijing, China.
  • Liu H; Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, Jihun Road No. 668, Huli District, Xiamen, Fujian, China. zsxmfskz@163.com.
BMC Med Imaging ; 23(1): 1, 2023 01 04.
Article em En | MEDLINE | ID: mdl-36600192
ABSTRACT

BACKGROUND:

MRI is the best imaging tool for the evaluation of uterine tumors, but conventional MRI diagnosis results rely on radiologists and contrast agents (if needed). As a new objective, reproducible and contrast-agent free quantification technique, T2 mapping has been applied to a number of diseases, but studies on the evaluation of uterine lesions and the influence of magnetic field strength are few. Therefore, the aim of this study was to systematically investigate and compare the performance of T2 mapping as a nonenhanced imaging tool in discriminating common uterine lesions between 1.5 T and 3.0 T MRI systems.

METHODS:

A total of 50 healthy subjects and 126 patients with suspected uterine lesions were enrolled in our study, and routine uterine MRI sequences with additional T2 mapping sequences were performed. T2 maps were calculated by monoexponential fitting using a custom code in MATLAB. T2 values of normal uterine structures in the healthy group and lesions (benign adenomyosis, myoma, endometrial polyps; malignant cervical cancer, endometrial carcinoma) in the patient group were collected. The differences in T2 values between 1.5 T MRI and 3.0 T MRI in any normal structure or lesion were compared. The comparison of T2 values between benign and malignant lesions was also performed under each magnetic field strength, and the diagnostic efficacies of the T2 value obtained through receiver operating characteristic (ROC) analysis were compared between 1.5 T and 3.0 T.

RESULTS:

The mean T2 value of any normal uterine structure or uterine lesion under 3.0 T MRI was significantly lower than that under 1.5 T MRI (p < 0.05). There were significant differences in T2 values between each lesion subgroup under both 1.5 T and 3.0 T MRI. Moreover, the T2 values of benign lesions (71.1 ± 22.0 ms at 1.5 T and 63.4 ± 19.1 ms at 3.0 T) were also significantly lower than those of malignant lesions (101.1 ± 4.5 ms at 1.5 T and 93.5 ± 5.1 ms at 3.0 T) under both field strengths. In the aspect of differentiating benign from malignant lesions, the area under the curve of the T2 value under 3.0 T (0.94) was significantly higher than that under 1.5 T MRI (0.90) (p = 0.02).

CONCLUSION:

T2 mapping can be a potential tool for quantifying common uterine lesions, and it has better performance in distinguishing benign from malignant lesions under 3.0 T MRI.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Uterinas / Imageamento por Ressonância Magnética Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Uterinas / Imageamento por Ressonância Magnética Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article