1
|
Guehl NJ, Normandin MD, Wooten DW, Rozen G, Ruskin JN, Shoup TM, Woo J, Ptaszek LM, Fakhri GE, Alpert NM. Rapid computation of single PET scan rest-stress myocardial blood flow parametric images by table look up. Med Phys 2017; 44:4643-4651. [PMID: 28594441 DOI: 10.1002/mp.12398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2017] [Revised: 05/11/2017] [Accepted: 05/31/2017] [Indexed: 12/17/2022] Open
Abstract
PURPOSE We have recently reported a method for measuring rest-stress myocardial blood flow (MBF) using a single, relatively short, PET scan session. The method requires two IV tracer injections, one to initiate rest imaging and one at peak stress. We previously validated absolute flow quantitation in ml/min/cc for standard bull's eye, segmental analysis. In this work, we extend the method for fast computation of rest-stress MBF parametric images. METHODS We provide an analytic solution to the single-scan rest-stress flow model which is then solved using a two-dimensional table lookup method (LM). Simulations were performed to compare the accuracy and precision of the lookup method with the original nonlinear method (NLM). Then the method was applied to 16 single scan rest/stress measurements made in 12 pigs: seven studied after infarction of the left anterior descending artery (LAD) territory, and nine imaged in the native state. Parametric maps of rest and stress MBF as well as maps of left (fLV ) and right (fRV ) ventricular spill-over fractions were generated. Regions of interest (ROIs) for 17 myocardial segments were defined in bull's eye fashion on the parametric maps. The mean of each ROI was then compared to the rest (K1r ) and stress (K1s ) MBF estimates obtained from fitting the 17 regional TACs with the NLM. RESULTS In simulation, the LM performed as well as the NLM in terms of precision and accuracy. The simulation did not show that bias was introduced by the use of a predefined two-dimensional lookup table. In experimental data, parametric maps demonstrated good statistical quality and the LM was computationally much more efficient than the original NLM. Very good agreement was obtained between the mean MBF calculated on the parametric maps for each of the 17 ROIs and the regional MBF values estimated by the NLM (K1mapLM = 1.019 × K1ROINLM + 0.019, R2 = 0.986; mean difference = 0.034 ± 0.036 mL/min/cc). CONCLUSIONS We developed a table lookup method for fast computation of parametric imaging of rest and stress MBF. Our results show the feasibility of obtaining good quality MBF maps using modest computational resources, thus demonstrating that the method can be applied in a clinical environment to obtain full quantitative MBF information.
Collapse
Affiliation(s)
- Nicolas J Guehl
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Marc D Normandin
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Dustin W Wooten
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Guy Rozen
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Jeremy N Ruskin
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Timothy M Shoup
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Jonghye Woo
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Leon M Ptaszek
- Cardiac Arrhythmia Service, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Georges El Fakhri
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| | - Nathaniel M Alpert
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114-1107, USA
| |
Collapse
|
2
|
Guehl NJ, Normandin MD, Wooten DW, Rozen G, Sitek A, Ruskin J, Shoup TM, Ptaszek LM, El Fakhri G, Alpert NM. Single-scan rest/stress imaging: validation in a porcine model with 18F-Flurpiridaz. Eur J Nucl Med Mol Imaging 2017; 44:1538-1546. [PMID: 28365789 DOI: 10.1007/s00259-017-3684-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 03/17/2017] [Indexed: 11/27/2022]
Abstract
PURPOSE 18F-labeled myocardial flow agents are becoming available for clinical application but the ∼2 hour half-life of 18F complicates their clinical application for rest-stress measurements. The goal of this work is to evaluate in a pig model a single-scan method which provides quantitative rest-stress blood flow in less than 15 minutes. METHODS Single-scan rest-stress measurements were made using 18F-Flurpiridaz. Nine scans were performed in healthy pigs and seven scans were performed in injured pigs. A two-injection, single-scan protocol was used in which an adenosine infusion was started 4 minutes after the first injection of 18F-Flurpiridaz and followed either 3 or 6 minutes later by a second radiotracer injection. In two pigs, microsphere flow measurements were made at rest and during stress. Dynamic images were reoriented into the short axis view, and regions of interest (ROIs) for the 17 myocardial segments were defined in bull's eye fashion. PET data were fitted with MGH2, a kinetic model with time varying kinetic parameters, in which blood flow changes abruptly with the introduction of adenosine. Rest and stress myocardial blood flow (MBF) were estimated simultaneously. RESULTS The first 12-14 minutes of rest-stress PET data were fitted in detail by the MGH2 model, yielding MBF measurement with a mean precision of 0.035 ml/min/cc. Mean myocardial blood flow across pigs was 0.61 ± 0.11 mL/min/cc at rest and 1.06 ± 0.19 mL/min/cc at stress in healthy pigs and 0.36 ± 0.20 mL/min/cc at rest and 0.62 ± 0.24 mL/min/cc at stress in the ischemic area. Good agreement was obtained with microsphere flow measurement (slope = 1.061 ± 0.017, intercept = 0.051 ± 0.017, mean difference 0.096 ± 0.18 ml/min/cc). CONCLUSION Accurate rest and stress blood flow estimation can be obtained in less than 15 min of PET acquisition. The method is practical and easy to implement suggesting the possibility of clinical translation.
Collapse
Affiliation(s)
- Nicolas J Guehl
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Marc D Normandin
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Dustin W Wooten
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Guy Rozen
- Cardiac Arrhythmia Service, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Arkadiusk Sitek
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jeremy Ruskin
- Cardiac Arrhythmia Service, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Timothy M Shoup
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Leon M Ptaszek
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cardiac Arrhythmia Service, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 02114, USA
| | - Georges El Fakhri
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nathaniel M Alpert
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
3
|
Alpert N, Dean Fang YH, El Fakhri G. Single-scan rest∕stress imaging (18)F-labeled flow tracers. Med Phys 2013; 39:6609-20. [PMID: 23127055 DOI: 10.1118/1.4754585] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE The authors report a novel measurement strategy to obtain both rest and stress blood flow during a single, relatively short, scan session. METHODS Measurement of rest-stress myocardial blood flow with long-lived tracers usually requires separate scan sessions to remove the confounding effects of residual radioactivity concentration in the blood and tissue. The innovation of this method is to treat the rest-stress scan as a single entity in which the flow parameters change due to pharmacological challenge. With this approach the fate of a tracer molecule is naturally accounted for, no matter if it was introduced during the rest or stress phase of the study. Two new dual-injection kinetic models are considered that represent the response to pharmacological stress as a transitional or transient increase of myocardial blood flow. The authors present the theory of the method followed by the specific application of the theory to (18)F-Flurpiridaz, a new myocardial flow-imaging agent. RESULTS Myocardial blood flow was accurately and precisely estimated from a single-scan rest∕stress study for the long half-lived tracer (18)F-Flurpiridaz. By accounting for the time-dependence of the kinetic parameters, the proposed models achieved good accuracy and precision (5%) under different vasodilators and different ischemic states. CONCLUSIONS Detailed simulations predict that accurate and precise rest-stress blood flow measurements can be obtained in 20-30 min.
Collapse
Affiliation(s)
- Nathaniel Alpert
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | | |
Collapse
|