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• Clinical Article •
A preliminary clinical application of T2 mapping-based radiomics on MRI in breast diseases
HUANG Wenping  WANG Fen  LIU Hongli  YU Yali  LOU Jianjuan  ZOU Qigui  WANG Siqi  JIANG Yanni 

Cite this article as: HUANG W P, WANG F, LIU H L, et al. A preliminary clinical application of T2 mapping-based radiomics on MRI in breast diseases[J]. Chin J Magn Reson Imaging, 2023, 14(2): 50-55. DOI:10.12015/issn.1674-8034.2023.02.009.


[Abstract] Objective To investigate the diagnostic performance of radiomic features based on breast MRI T2 mapping in differentiating benign and malignant lesions.Materials and Methods This retrospective study included T2 mapping images of breast MRI from 113 patients (113 breast lesions: 51 benign lesions, 62 malignant lesions) confirmed by pathology. Breast lesions were segmented manually on the T2 mapping images, and radiomic features were then extracted and selected. They were divided into two groups according to the pathological results. The Kappa was measured by the intra-class correlation coefficients. The training set and test set were selected according to the ratio of 7∶3. Z-score, Pearson correlation coefficients, recursive feature elimination were used to select features in the training set. A radiomics-based predictive model using logistic regression was developed and calibrated with five-fold cross-validation. The receiver operating characteristic (ROC) curves were drawn in the training set and test set respectively to evaluate the diagnostic performance of the model. The model efficiency was evaluated using the clinical decision curve.Results A total of 107 features were extracted from T2 mapping images for each patient. Finally, 6 features (original_shape_Sphericity, original_glcm_InverseVariance, original_glrlm_GrayLevelNonUniformityNormalized, original_glrlm_ShortRunEmphasis, original_glszm_GrayLevelNonUniformityNormalized and original_ngtdm_Coarseness) were selected to construct the model for differentiating benign from malignant lesions. The area under the curve, sensitivity, specificity and accuracy of model in test set were 0.895 (95% confidence interval: 0.768-0.990), 94.7%, 80.0% and 88.2%.Conclusions T2 mapping-based radiomics method can be used to preoperatively discriminate benign and malignant lesions with high accuracy.
[Keywords] breast；T2 mapping；magnetic resonance imaging；radiomics；texture features；heterogeneity

HUANG Wenping   WANG Fen   LIU Hongli   YU Yali   LOU Jianjuan   ZOU Qigui   WANG Siqi   JIANG Yanni*  

Department of Radiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China

*Correspondence to: Jiang YN, E-mail: jyn_njmu@163.com

Conflicts of interest   None.

Received  2022-09-28
Accepted  2023-02-08
DOI: 10.12015/issn.1674-8034.2023.02.009
Cite this article as: HUANG W P, WANG F, LIU H L, et al. A preliminary clinical application of T2 mapping-based radiomics on MRI in breast diseases[J]. Chin J Magn Reson Imaging, 2023, 14(2): 50-55. DOI:10.12015/issn.1674-8034.2023.02.009.

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