Reproducibility of magnetic resonance perfusion imaging

Xiaomeng Zhang, Mark "Marty" Pagel, Amanda F Baker, Robert J. Gillies

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Dynamic MR biomarkers (T2*-weighted or susceptibility-based and T1-weighted or relaxivity-enhanced) have been applied to assess tumor perfusion and its response to therapies. A significant challenge in the development of reliable biomarkers is a rigorous assessment and optimization of reproducibility. The purpose of this study was to determine the measurement reproducibility of T1-weighted dynamic contrast-enhanced (DCE)-MRI and T2*-weighted dynamic susceptibility contrast (DSC)-MRI with two contrast agents (CA) of different molecular weight (MW): gadopentetate (Gd-DTPA, 0.5 kDa) and Gadomelitol (P792, 6.5 kDa). Each contrast agent was tested with eight mice that had subcutaneous MDA-MB-231 breast xenograft tumors. Each mouse was imaged with a combined DSC-DCE protocol three times within one week to achieve measures of reproducibility. DSC-MRI results were evaluated with a contrast to noise ratio (CNR) efficiency threshold. There was a clear signal drop (>95% probability threshold) in the DSC of normal tissue, while signal changes were minimal or non-existent (<95% probability threshold) in tumors. Mean within-subject coefficient of variation (wCV) of relative blood volume (rBV) in normal tissue was 11.78% for Gd-DTPA and 6.64% for P792. The intra-class correlation coefficient (ICC) of rBV in normal tissue was 0.940 for Gd-DTPA and 0.978 for P792. The inter-subject correlation coefficient was 0.092. Calculated Ktrans from DCE-MRI showed comparable reproducibility (mean wCV, 5.13% for Gd-DTPA, 8.06% for P792). ICC of Ktrans showed high intra-subject reproducibility (ICC = 0.999/0.995) and inter-subject heterogeneity (ICC = 0.774). Histograms of Ktrans distributions for three measurements had high degrees of overlap (sum of difference of the normalized histograms <0.01). These results represent homogeneous intra-subject measurement and heterogeneous inter-subject character of biological population, suggesting that perfusion MRI could be an imaging biomarker to monitor or predict response of disease.

Original languageEnglish (US)
Article numbere89797
JournalPLoS One
Volume9
Issue number2
DOIs
StatePublished - Feb 25 2014

Fingerprint

Gadolinium DTPA
Magnetic Resonance Angiography
Magnetic resonance
magnetic resonance imaging
reproducibility
Imaging techniques
Magnetic resonance imaging
Biomarkers
Blood Volume
Contrast Media
Perfusion
Tumors
biomarkers
blood volume
Tissue
Heterografts
Noise
Neoplasms
Blood
Molecular Weight

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Reproducibility of magnetic resonance perfusion imaging. / Zhang, Xiaomeng; Pagel, Mark "Marty"; Baker, Amanda F; Gillies, Robert J.

In: PLoS One, Vol. 9, No. 2, e89797, 25.02.2014.

Research output: Contribution to journalArticle

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