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Relationship between intravoxel incoherent motion diffusion-weighted MRI and dynamic contrast-enhanced MRI in tissue perfusion of cervical cancers

  • Elaine Yuen Phin Lee (Corresponding Author)
  • , Edward Sai Kam Hui
  • , Karen Kar Loen Chan
  • , Ka Yu Tse
  • , Wai Kay Kwong
  • , Tien Yee Chang
  • , Queenie Chan
  • , Pek Lan Khong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

Purpose To investigate the relationship between intravoxel incoherent motion (IVIM) diffusion-weighted magnetic resonance imaging (MRI) and dynamic contrast-enhanced MRI (DCE-MRI) in cervical cancer perfusion. Materials and Methods Prospective newly diagnosed cervical cancer patients underwent diffusion-weighted MRI (13 b-values: 1-1000 s/mm2) and DCE-MRI. The IVIM perfusion parameters, perfusion fraction (f), pseudodiffusion coefficient (D∗), and flow-related parameter (fD∗), were derived from a biexponential decay model. DCE-MRI was analyzed with a pharmacokinetic model and signal-time curve to derive the amplitude factor (A), estimated volume transfer constant between blood plasma, and the extravascular extracellular space (estKtrans), maximum relative enhancement (MaxRE), and area under the signal-time curve (AUC). Spearman's rank correlation coefficient (r) evaluated the correlative relationships. Results The f = 13.51%-±-1.76%, D∗ = 71.72-±-7.55 × 10-3 mm2/s, fD∗ = 9.64-±-1.28 × 10-3 mm2/s, A = 1.41-±-0.43, estKtrans = 0.19-±-0.06 s-1, MaxRE of 120.02-±-21.07%, and AUC 212,393-±-54,423 was found in 25 cervical cancer patients. Statistically significant positive correlations were found between fD∗ and estKtrans (r = 0.42, P = 0.038), fD∗ and A (r = 0.50, P = 0.011), fD∗ and MaxRE (r = 0.52, P = 0.008), f and AUC (r = 0.58, P = 0.003). Conclusion: The IVIM perfusion parameters showed moderate to good correlations with quantitative and semiquantitative perfusion parameters derived from DCE-MRI in cervical cancer.

Original languageEnglish
Pages (from-to)454-459
Number of pages6
JournalJournal of Magnetic Resonance Imaging
Volume42
Issue number2
DOIs
Publication statusPublished - 1 Aug 2015
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • cervical cancer
  • DCE-MRI
  • intravoxel incoherent motion
  • IVIM
  • perfusion

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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