Metabolite-Specific Echo Planar Imaging for Preclinical Studies with Hyperpolarized 13 C-Pyruvate MRI.
Sule I SahinXiao JiShubhangi AgarwalAvantika SinhaIvina MaliJeremy W GordonMark MattinglySukumar SubramaniamJohn KurhanewiczPeder Eric Zufall LarsonRenuka SriramPublished in: Tomography (Ann Arbor, Mich.) (2023)
Metabolite-specific echo-planar imaging (EPI) sequences with spectral-spatial (spsp) excitation are commonly used in clinical hyperpolarized [1- 13 C]pyruvate studies because of their speed, efficiency, and flexibility. In contrast, preclinical systems typically rely on slower spectroscopic methods, such as chemical shift imaging (CSI). In this study, a 2D spspEPI sequence was developed for use on a preclinical 3T Bruker system and tested on in vivo mice experiments with patient-derived xenograft renal cell carcinoma (RCC) or prostate cancer tissues implanted in the kidney or liver. Compared to spspEPI sequences, CSI were found to have a broader point spread function via simulations and exhibited signal bleeding between vasculature and tumors in vivo. Parameters for the spspEPI sequence were optimized using simulations and verified with in vivo data. The expected lactate SNR and pharmacokinetic modeling accuracy increased with lower pyruvate flip angles (less than 15°), intermediate lactate flip angles (25° to 40°), and temporal resolution of 3 s. Overall SNR was also higher with coarser spatial resolution (4 mm isotropic vs. 2 mm isotropic). Pharmacokinetic modelling used to fit k PL maps showed results consistent with the previous literature and across different sequences and tumor xenografts. This work describes and justifies the pulse design and parameter choices for preclinical spspEPI hyperpolarized 13 C-pyruvate studies and shows superior image quality to CSI.
Keyphrases
- prostate cancer
- high resolution
- magnetic resonance
- renal cell carcinoma
- image quality
- contrast enhanced
- cell therapy
- case control
- magnetic resonance imaging
- systematic review
- molecular dynamics
- gene expression
- diffusion weighted imaging
- computed tomography
- stem cells
- optical coherence tomography
- amino acid
- mass spectrometry
- atrial fibrillation
- diffusion weighted
- mesenchymal stem cells
- skeletal muscle
- metabolic syndrome
- machine learning
- high fat diet induced
- radical prostatectomy
- type diabetes
- molecular docking
- data analysis
- insulin resistance
- monte carlo