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Analysis of Volumetric Perfusion Quantitative Parameters Using CS-VIBE Breast Dynamic Contrast Enhanced MR Imaging
- Chang, Yun-Woo;
- Lee, Eun Ji;
- Hwang, Jiyoung;
- Nickel, Dominik;
- Sung, Jae Kon
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Purpose To evaluate the diagnostic performance of three-dimensional volume of interest (3D-VOI) perfusion quantitative parameters using CS-VIBE DCE-MRI and investigate the relationship of the prognostic factors. Materials and Methods The volumetric perfusion quantitative parameters of K-trans, K-ep, V-e, V-p, of 124 pathologically proven breast masses in 93 patients were obtained using the two-compartment extended Tofts model. Also, the perfusion parameters of AUC, TTP, Emax, wash-in, and washout were automatically calculated using post-processing software. The relationship between the perfusion quantitative parameters and lesion size, pathology, and prognostic factors of malignancy was evaluated. Results K-trans and K-ep were significantly higher in the malignant than the benign lesions (p < 0.001), and the AUROC of K-trans and K-ep was 0.802 and 0.815, respectively. The area under the DCE curve, TTP, Emax, wash-in, and wash-out were significantly different between the benign and malignant lesions (p < 0.05). In multiple linear regression analysis, K-trans and K-ep were significantly different between benign and malignant tumors. Malignant tumors larger than 2cm were significantly different from those smaller than 2cm in K-trans, K-ep, Vp, area under the DCE curve, TTP, Emax, and wash-in values (p < 0.05). TTP was significantly lower in higher Ki-67 index (p < 0.05). Conclusion Perfusion quantitative parameters may be applied as a feasible imaging biomarker to discriminate malignant from benign tumors. In malignant lesions, perfusion parameters were not associated with histopathological results but only in tumor size.
키워드
- 제목
- Analysis of Volumetric Perfusion Quantitative Parameters Using CS-VIBE Breast Dynamic Contrast Enhanced MR Imaging
- 저자
- Chang, Yun-Woo; Lee, Eun Ji; Hwang, Jiyoung; Nickel, Dominik; Sung, Jae Kon
- 발행일
- 2023-07
- 유형
- Article
- 권
- 19
- 호
- 11
- 페이지
- 1286 ~ 1294