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The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic
Wei Huang1, Yiyi Chen1, Andriy Fedorov2
1Oregon Health and Science University, Portland, OR.
Tomography (Ann Arbor, Mich.)
|March 12, 2019
Summary
Arterial input function (AIF) variations significantly impact dynamic contrast-enhanced MRI pharmacokinetic (PK) analysis in prostate cancer. Adjusting the AIF reduced parameter variability, suggesting specific parameters like Ktrans and ve may be more robust biomarkers.
Area of Science:
- Radiology and Imaging Science
- Oncology Research
- Biomedical Engineering
Background:
- Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is crucial for prostate cancer assessment.
- Pharmacokinetic (PK) modeling of DCE-MRI data relies heavily on accurate arterial input function (AIF) determination.
- Variability in AIF measurement can introduce significant uncertainty into PK parameter estimations.
Purpose of the Study:
- To evaluate the impact of different arterial input function (AIF) determination methods on pharmacokinetic (PK) parameter variability in prostate cancer DCE-MRI.
- To compare the robustness of various PK parameters (Ktrans, ve, kep, τi) derived using the shutter-speed model (SSM) under AIF variations.
Main Methods:
- A multicenter study involving 11 prostate cancer patients with DCE-MRI data shared across nine institutions.
- Each center determined a site-specific AIF, which were then used with reference tissue-adjusted and population-averaged AIFs for SSM PK analysis.
- PK parameters including Ktrans, ve, kep, and τi were calculated, keeping all other imaging and analysis variables constant.
Main Results:
- Significant variability in PK parameters was observed with unadjusted AIFs (wCVs: Ktrans=0.58, ve=0.27, kep=0.42, τi=0.24).
- Reference tissue-adjusted AIFs reduced variability for Ktrans (wCV=0.50) and ve (wCV=0.10), with smaller effects on kep (wCV=0.39) and τi (wCV=0.22).
- The efflux rate constant (kep) showed lower sensitivity to AIF variation compared to Ktrans, indicating potential as a robust biomarker.
Conclusions:
- Arterial input function (AIF) determination is a major source of variability in prostate cancer DCE-MRI PK analysis.
- Reference tissue-adjusted AIFs can mitigate some of this variability, particularly for Ktrans and ve.
- The kep parameter demonstrates greater robustness to AIF uncertainty, and the SSM-unique τi parameter shows promise for longitudinal studies due to low AIF sensitivity.
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