Feasibility of Renal Blood Flow Measurement Using 64 Cu-ATSM PET/MRI: A Quantitative PET and MRI Study.
Yudai NishikawaNaoki TakahashiSho NishikawaYuki ShimamotoKazuhisa NishimoriMamiko KobayashiHideki KimuraTetsuya TsujikawaKenji KasunoTetsuya MoriYasushi KiyonoHidehiko OkazawaMasayuki IwanoPublished in: Diagnostics (Basel, Switzerland) (2023)
This study aimed to evaluate the renal blood flow (RBF) in patients with chronic kidney disease (CKD) using 64 Cu(II)-diacetyl-bis(4-methylthiosemicarbazonate) ( 64 Cu-ATSM) for positron emission tomography (PET)/magnetic resonance imaging (MRI). We included five healthy controls (HCs) and ten patients with CKD. The estimated glomerular filtration rate (eGFR) was calculated from the serum creatinine (cr) and cystatin C (cys) levels. The estimated RBF (eRBF) was calculated using the eGFR, hematocrit, and filtration fraction. A single dose of 64 Cu-ATSM (300-400 MBq) was administered for RBF evaluation, and a 40 min dynamic PET scan was performed with simultaneous arterial spin labeling (ASL) imaging. PET-RBF images were obtained from the dynamic PET images at 3 min after injection using the image-derived input function method. The mean eRBF values calculated from various eGFR values differed significantly between the patients and HCs; both groups also differed significantly in terms of the RBF values (mL/min/100 g) measured using PET (151 ± 20 vs. 124 ± 22, p < 0.05) and ASL-MRI (172 ± 38 vs. 125 ± 30, p < 0.001). The ASL-MRI-RBF was positively correlated with the eRBFcr-cys (r = 0.858, p < 0.001). The PET-RBF was positively correlated with the eRBFcr-cys (r = 0.893, p < 0.001). The ASL-RBF was positively correlated with the PET-RBF (r = 0.849, p < 0.001). 64 Cu-ATSM PET/MRI demonstrated the reliability of PET-RBF and ASL-RBF by comparing them with eRBF. This is the first study to demonstrate that 64 Cu-ATSM-PET is useful for assessing the RBF and is well correlated with ASL-MRI.
Keyphrases
- positron emission tomography
- computed tomography
- magnetic resonance imaging
- pet ct
- contrast enhanced
- pet imaging
- blood flow
- diffusion weighted imaging
- small cell lung cancer
- deep learning
- tyrosine kinase
- epidermal growth factor receptor
- end stage renal disease
- machine learning
- metal organic framework
- metabolic syndrome
- peritoneal dialysis
- patient reported outcomes
- optical coherence tomography
- photodynamic therapy
- ultrasound guided