A 3D-printed phantom for quality-controlled reproducibility measurements of arterial spin labeled perfusion.


Journal

Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245

Informations de publication

Date de publication:
Feb 2024
Historique:
revised: 29 08 2023
received: 06 04 2023
accepted: 22 09 2023
medline: 1 12 2023
pubmed: 10 10 2023
entrez: 10 10 2023
Statut: ppublish

Résumé

To develop a portable MR perfusion phantom for quality-controlled assessment and reproducibility of arterial spin labeled (ASL) perfusion measurement. A 3D-printed perfusion phantom was developed that mimics the branching of arterial vessels, capillaries, and a chamber containing cellulose sponge representing tissue characteristics. A peristaltic pump circulated distilled water through the phantom, and was first evaluated at 300, 400, and 500 mL/min. Longitudinal reproducibility of perfusion was performed using 2D pseudo-continuous ASL at 20 post-label delays (PLDs, ranging between 0.2 and 7.8 s at 0.4-s intervals) over a period of 16 weeks, with three repetitions each week. Multi-PLD data were fitted into a general kinetic model for perfusion quantification (f) and arterial transit time (ATT). Intraclass correlation coefficient was used to assess intersession reproducibility. MR perfusion signals acquired in the 3D-printed perfusion phantom agreed well with the experimental conditions, with progressively increasing signal intensities and decreasing ATT for pump flow rates from 300 to 500 mL/min. The perfusion signal at 400 mL/min and the general kinetic model-derived f and ATT maps were similar across all PLDs for both intrasession and intersession reproducibility. Across all 48 experimental time points, the average f was 75.55 ± 3.83 × 10 A simple, portable 3D-printed perfusion phantom with excellent reproducibility of 2D pseudo-continuous ASL measurements was demonstrated that can serve for quality-controlled and reliable measurements of ASL perfusion.

Identifiants

pubmed: 37815014
doi: 10.1002/mrm.29886
doi:

Substances chimiques

Spin Labels 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

819-827

Informations de copyright

© 2023 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

Références

Hernandez-Garcia L, Aramendia-Vidaurreta V, Bolar DS, et al. Recent technical developments in ASL: a review of the state of the art. Magn Reson Med. 2022;88:2021-2042.
Huang D, Guo Y, Guan X, et al. Recent advances in arterial spin labeling perfusion MRI in patients with vascular cognitive impairment. J Cereb Blood Flow Metab. 2023;43:173-184.
Alsop DC, Detre JA, Golay X, et al. Recommended implementation of arterial spin-labeled perfusion MRI for clinical applications: a consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia. Magn Reson Med. 2015;73:102-116.
Nery F, Buchanan CE, Harteveld AA, et al. Consensus-based technical recommendations for clinical translation of renal ASL MRI. Magma. 2020;33:141-161.
Taso M, Aramendia-Vidaurreta V, Englund EK, et al. Update on state-of-the-art for arterial spin labeling (ASL) human perfusion imaging outside of the brain. Magn Reson Med. 2023;89:1754-1776.
Lugano R, Ramachandran M, Dimberg A. Tumor angiogenesis: causes, consequences, challenges and opportunities. Cell Mol Life Sci. 2020;77:1745-1770.
Wang X, Bishop C, O'Callaghan J, et al. MRI assessment of cerebral perfusion in clinical trials. Drug Discov Today. 2023;28:103506.
Odudu A, Nery F, Harteveld AA, et al. Arterial spin labelling MRI to measure renal perfusion: a systematic review and statement paper. Nephrol Dial Transplant. 2018;33:ii15-ii21.
Tsai LL, Bhatt RS, Strob MF, et al. Arterial spin labeled perfusion MRI for the evaluation of response to tyrosine kinase inhibition therapy in metastatic renal cell carcinoma. Radiology. 2021;298:332-340.
Kilroy E, Apostolova L, Liu C, Yan L, Ringman J, Wang DJ. Reliability of two-dimensional and three-dimensional pseudo-continuous arterial spin labeling perfusion MRI in elderly populations: comparison with 15O-water positron emission tomography. J Magn Reson Imaging. 2014;39:931-939.
Xu G, Rowley HA, Wu G, et al. Reliability and precision of pseudo-continuous arterial spin labeling perfusion MRI on 3.0 T and comparison with 15O-water PET in elderly subjects at risk for Alzheimer's disease. NMR Biomed. 2010;23:286-293.
Bane O, Hectors SJ, Wagner M, et al. Accuracy, repeatability, and interplatform reproducibility of T1 quantification methods used for DCE-MRI: results from a multicenter phantom study. Magn Reson Med. 2018;79:2564-2575.
Keenan KE, Wilmes LJ, Aliu SO, et al. Design of a breast phantom for quantitative MRI. J Magn Reson Imaging. 2016;44:610-619.
Gabrielyan M, Tisdall MD, Kammer C, Higgins C, Arratia PE, Detre JA. A perfusion phantom for ASL MRI based on impinging jets. Magn Reson Med. 2021;86:1145-1158.
Oliver-Taylor A, Hampshire T, Mutsaerts HJMM, et al. Proceedings of the 27th Annual Meeting of ISMRM. Montéal, Canada, 2019:2653.
Robson PM, Madhuranthakam AJ, Dai W, Pedrosa I, Rofsky NM, Alsop DC. Strategies for reducing respiratory motion artifacts in renal perfusion imaging with arterial spin labeling. Magn Reson Med. 2009;61:1374-1387.
Buxton RB, Frank LR, Wong EC, Siewert B, Warach S, Edelman RR. A general kinetic model for quantitative perfusion imaging with arterial spin labeling. Magn Reson Med. 1998;40:383-396.
Dai W, Garcia D, de Bazelaire C, Alsop DC. Continuous flow-driven inversion for arterial spin labeling using pulsed radio frequency and gradient fields. Magn Reson Med. 2008;60:1488-1497.
Hu HH, Yokoo T, Bashir MR, et al. Linearity and bias of proton density fat fraction as a quantitative imaging biomarker: a multicenter, multiplatform, multivendor phantom study. Radiology. 2021;298:640-651.
Mutsaerts HJ, van Osch MJ, Zelaya FO, et al. Multi-vendor reliability of arterial spin labeling perfusion MRI using a near-identical sequence: implications for multi-center studies. Neuroimage. 2015;113:143-152.
Jann K, Shao X, Ma SJ, et al. Proceedings of the Annual Meeting of ISMRM, Virtual, 2021:1846.

Auteurs

Yiming Wang (Y)

Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.
Philips Healthcare, Shanghai, China.

Joshua S Greer (JS)

Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.
Philips Healthcare, Cincinnati, Ohio, USA.

Limin Zhou (L)

Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.

Sheng-Qing Lin (SQ)

Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.

Keith M Hulsey (KM)

Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.

Durga Udayakumar (D)

Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.
Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas, USA.

Ananth J Madhuranthakam (AJ)

Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA.
Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas, USA.

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