Investigation of analysis methods for hyperpolarized 13C‐pyruvate metabolic MRI in prostate cancer patients. (19th September 2018)

• Record Type: Journal Article
• Authors: Larson, Peder E. Z.; Chen, Hsin‐Yu; Gordon, Jeremy W.; Korn, Natalie; Maidens, John; Arcak, Murat; Tang, Shuyu; Criekinge, Mark; Carvajal, Lucas; Mammoli, Daniele; Bok, Robert; Aggarwal, Rahul; Ferrone, Marcus; Slater, James B.; Nelson, Sarah J.; Kurhanewicz, John; Vigneron, Daniel B.
• Is Part Of: NMR in biomedicine. Volume 31:Number 11(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-09-19
• Subjects: hyperpolarized MRI -- kinetic modeling -- metabolic imaging -- prostate cancer -- 13C‐pyruvate; Nuclear magnetic resonance -- Periodicals; Magnetic Resonance Spectroscopy -- Periodicals; 574
• DOI: 10.1002/nbm.3997
• Languages: English
• ISSNs: 0952-3480

Abstract

Abstract : MRI using hyperpolarized (HP) carbon‐13 pyruvate is being investigated in clinical trials to provide non‐invasive measurements of metabolism for cancer and cardiac imaging. In this project, we applied HP [1‐ 13 C]pyruvate dynamic MRI in prostate cancer to measure the conversion from pyruvate to lactate, which is expected to increase in aggressive cancers. The goal of this work was to develop and test analysis methods for improved quantification of this metabolic conversion. In this work, we compared specialized kinetic modeling methods to estimate the pyruvate‐to‐lactate conversion rate, k P L, as well as the lactate‐to‐pyruvate area‐under‐curve (AUC) ratio. The kinetic modeling included an "inputless" method requiring no assumptions regarding the input function, as well as a method incorporating bolus characteristics in the fitting. These were first evaluated with simulated data designed to match human prostate data, where we examined the expected sensitivity of metabolism quantification to variations in k P L, signal‐to‐noise ratio (SNR), bolus characteristics, relaxation rates, and B 1 variability. They were then applied to 17 prostate cancer patient datasets. The simulations indicated that the inputless method with fixed relaxation rates provided high expected accuracy with no sensitivity to bolus characteristics. The AUC ratio showed an undesired strong sensitivity to bolus variations. Fitting the input function as well did not improve accuracy over the inputless method. In vivo results showed qualitatively accurate k P L maps with inputless fitting. The AUC ratio was sensitive to bolus delivery variations. Fitting with the input function showed high variability in parameter maps. Overall, we found the inputless k P L fitting method to be a simple, robust approach for quantification of metabolic conversion following HP [1‐ 13 C]pyruvate injection in human prostate cancer studies. This study also provided initial ranges of HP [1‐ 13 C]pyruvate parameters (SNR, k P L, bolus characteristics) in the human prostate. Abstract : Analysis methods, including kinetic models and area‐under‐curve (AUC) methods, for hyperpolarized (HP) 13C‐pyruvate MRI were investigated to provide robust and accurate quantifications of metabolism for patient studies of prostate cancer. Simulation and in vivo results showed that an inputless pyruvate‐to‐lactate rate ( k P L ) fitting method was relatively robust for low SNR data acquired with any flip‐angle scheme and across a range of bolus characteristics. Such robust analysis methods are essential as HP 13C‐pyruvate MRI enters more widespread clinical application.