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• Clinical Article •
Value of whole volume histogram features from Synthetic MRI in differentiating benign and malignant breast tumor
SUN Shengjun  LI Qin  LI Fangzheng  WU Shasha  NIU Qingliang 

SUN S J, LI Q, LI F Z, et al. Value of whole volume histogram features from Synthetic MRI in differentiating benign and malignant breast tumor[J]. Chin J Magn Reson Imaging, 2023, 14(8): 58-62, 164. DOI:10.12015/issn.1674-8034.2023.08.009.


[Abstract] Objective To explore the value of whole volume histogram features from synthetic MRI (SyMRI) in the diagnosis of benign and malignant breast tumors.Materials and Methods Clinical and imaging data of 186 patients with breast lesions were retrospective collected from October 2019 to November 2021. All patients were confirmed by puncture biopsy and/or surgical pathology, and preoperative conventional MRI and SyMRI scans were performed. The independent samples t-test or Mann-Whitney U test was chosen to compare quantitative parameters between benign and malignant breast lesions. Multivariate logistic regression model was developed based on the univariate result, and the corresponding ROC curves were obtained with AUC, sensitivity and specificity.Results A total of 150 patients with breast lesions (166 lesions in total) were enrolled. Multivariate analysis showed that T1-90th (P=0.002), T1-entropy (P=0.001) and proton density-kurtosis (P=0.014) were independent predictors for the differentiation of benign and malignant breast lesions. The AUC of differentiating benign and malignant breast lesions by multivariate logistic regression model was 0.89 (95% CI: 0.84-0.94), with the sensitivity of 85.15% and the specificity of 81.97%.Conclusions The whole volume histogram parameters from SyMRI can provide a basis for accurate diagnosis of identifying benign and malignant breast lesions.
[Keywords] breast neoplasms；distinguish between benign and malignant；magnetic resonance imaging；synthetic magnetic resonance imaging；histogram；quantitative

SUN Shengjun1   LI Qin2   LI Fangzheng1   WU Shasha2   NIU Qingliang2*  

1 School of Medical Imaging, Weifang Medical College, Weifang 261000, China

2 Center of Medicine Imaging, Weifang Traditional Chinese Medical Hospital, Weifang 261041, China

Corresponding author: Niu QL, E-mail: qingliangniu@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Natural Science Foundation of Shandong Province (No. ZR202103060229).
Received  2022-12-12
Accepted  2023-07-20
DOI: 10.12015/issn.1674-8034.2023.08.009
SUN S J, LI Q, LI F Z, et al. Value of whole volume histogram features from Synthetic MRI in differentiating benign and malignant breast tumor[J]. Chin J Magn Reson Imaging, 2023, 14(8): 58-62, 164. DOI:10.12015/issn.1674-8034.2023.08.009.

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