Analysis of Volumetric Perfusion Quantitative Parameters CS-VIBE Breast Dynamic Contrast Enhanced MR Imaging

Yun Woo Chang, Eun Ji Lee, Jiyoung Hwang, Dominik Nickel, Jae Kon Sung

Research output: Contribution to journalArticlepeer-review

Abstract

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 Ktrans, Kep, Ve, Vp, 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 automat-ically calculated using post-processing software. The relationship between the perfusion quantitative parameters and lesion size, pathology, and prognostic factors of malignancy was evaluated. Results: Ktrans and Kep were significantly higher in the malignant than the benign lesions (p < 0.001), and the AUROC of Ktrans and Kep 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, Ktrans and Kep were significantly different between benign and malignant tumors. Malignant tumors larger than 2cm were significantly different from those smaller than 2cm in Ktrans, Kep, 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.

Original languageEnglish
Pages (from-to)1286-1294
Number of pages9
JournalCurrent Medical Imaging
Volume19
Issue number11
DOIs
StatePublished - 2023

Bibliographical note

Funding Information:
This study was funded by Soonchunhyang University Research Fund (SCH-20220000).

Publisher Copyright:
© 2023 Bentham Science Publishers.

Keywords

  • Breast
  • diagnosis
  • dynamic contrast-enhanced MRI
  • lesions
  • neoplasms
  • perfusion

Fingerprint

Dive into the research topics of 'Analysis of Volumetric Perfusion Quantitative Parameters CS-VIBE Breast Dynamic Contrast Enhanced MR Imaging'. Together they form a unique fingerprint.

Cite this