Discrimination of malignant and benign breast lesions using quantitative multiparametric mri: A preliminary study

Kurt Li, Archana Machireddy, Alina Tudorica, Brendan Moloney, Karen Y. Oh, Neda Jafarian, Savannah C. Partridge, Xin Li, Wei Huang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We aimed to compare diagnostic performance in discriminating malignant and benign breast lesions between two intravoxel incoherent motion (IVIM) analysis methods for diffusion-weighted magnetic resonance imaging (DW-MRI) data and between DW-and dynamic contrast-enhanced (DCE)-MRI, and to determine if combining DW-and DCE-MRI further improves diagnostic accuracy. DW-MRI with 12 b-values and DCE-MRI were performed on 26 patients with 28 suspicious breast lesions before biopsies. The traditional biexponential fitting and a 3-b-value method were used for independent IVIM analysis of the DW-MRI data. Simulations were performed to evaluate errors in IVIM parameter estimations by the two methods across a range of sig-nal-to-noise ratio (SNR). Pharmacokinetic modeling of DCE-MRI data was performed. Conventional radiological MRI reading yielded 86% sensitivity and 21% specificity in breast cancer diagnosis. At the same sensitivity, specificity of individual DCE-and DW-MRI markers improved to 36%–57% and that of combined DCE-or combined DW-MRI markers to 57%–71%, with DCE-MRI markers showing better diagnostic performance. The combination of DCE-and DW-MRI markers further improved specificity to 86%–93% and the improvements in diagnostic accuracy were statistically significant (P <.05) when compared with standard clinical MRI reading and most individual markers. At low breast DW-MRI SNR values (<50), like those typically seen in clinical studies, the 3-b-value approach for IVIM analysis generates markers with smaller errors and with comparable or better diagnostic performances compared with biexponential fitting. This suggests that the 3-b-value method could be an optimal IVIM-MRI method to be combined with DCE-MRI for improved diagnostic accuracy.

Original languageEnglish (US)
Pages (from-to)148-159
Number of pages12
JournalTomography (Ann Arbor, Mich.)
Volume6
Issue number2
DOIs
StatePublished - Jun 2020

Keywords

  • Breast cancer
  • DCE-MRI
  • DW-MRI
  • IVIM-MRI
  • Multiparametric

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Fingerprint

Dive into the research topics of 'Discrimination of malignant and benign breast lesions using quantitative multiparametric mri: A preliminary study'. Together they form a unique fingerprint.

Cite this