1
|
Crawley R, Kunze KP, Milidonis X, Highton J, McElroy S, Frey SM, Hoefler D, Karamanli C, Wong NCK, Backhaus SJ, Alskaf E, Neji R, Scannell CM, Plein S, Chiribiri A. High-Resolution Free-Breathing Automated Quantitative Myocardial Perfusion by Cardiovascular Magnetic Resonance for the Detection of Functionally Significant Coronary Artery Disease. Eur Heart J Cardiovasc Imaging 2024:jeae084. [PMID: 38525948 DOI: 10.1093/ehjci/jeae084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/15/2024] [Accepted: 03/17/2024] [Indexed: 03/26/2024] Open
Abstract
AIMS Current assessment of myocardial ischaemia from stress perfusion cardiovascular magnetic resonance (SP-CMR) largely relies on visual interpretation. This study investigated the use of high-resolution free-breathing SP-CMR with automated quantitative mapping in the diagnosis of coronary artery disease (CAD). Diagnostic performance was evaluated against invasive coronary angiography (ICA) with fractional flow reserve (FFR) measurement. METHODS & RESULTS Seven-hundred and three patients were recruited for SP-CMR using the research sequence at 3 Tesla. Of those receiving ICA within 6 months, 80 patients either had FFR measurement, or identification of a chronic total occlusion (CTO) with inducible perfusion defects seen on SP-CMR. Myocardial blood flow (MBF) maps were automatically generated in-line on the scanner following image acquisition at hyperaemic stress and rest, allowing myocardial perfusion reserve (MPR) calculation. 75 coronary vessels assessed by FFR, and 28 vessels with CTO were evaluated at both segmental and coronary territory level. Coronary territory stress MBF and MPR were reduced in FFR-positive (≤ 0.80) regions (median stress MBF: 1.74 [0.90-2.17] ml/min/g; MPR: 1.67 [1.10-1.89]) compared with FFR-negative regions (stress MBF: 2.50 [2.15-2.95] ml/min/g; MPR 2.35 [2.06-2.54] p < 0.001 for both). Stress MBF ≤ 1.94 ml/min/g and MPR ≤ 1.97 accurately detected FFR-positive CAD on a per-vessel basis (area under the curve: 0.85 and 0.96 respectively; p < 0.001 for both). CONCLUSIONS A novel scanner-integrated high-resolution free-breathing SP-CMR sequence with automated in-line perfusion mapping is presented which accurately detects functionally significant CAD.
Collapse
Affiliation(s)
- R Crawley
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - K P Kunze
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
- Magnetic Resonance Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom
| | - X Milidonis
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
- DeepCamera MRG, CYENS Centre of Excellence, Nicosia, Cyprus
| | - J Highton
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
- Aival, London, United Kingdom
| | - S McElroy
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
- Magnetic Resonance Research Collaborations, Siemens Healthcare Limited, Camberley, United Kingdom
| | - S M Frey
- Department of Cardiology, University Hospital Basel, Basel, Switzerland
| | - D Hoefler
- University of Erlangen, Erlangen, Germany
| | - C Karamanli
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - N C K Wong
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - S J Backhaus
- Department of Cardiology, Campus Kerckhoff of the Justus-Liebig-University Giessen, Kerckhoff-Clinic, Bad Nauheim, Germany
| | - E Alskaf
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - R Neji
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| | - C M Scannell
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
- Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - S Plein
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom
| | - A Chiribiri
- School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom
| |
Collapse
|
2
|
Hervier E, Glessgen C, Nkoulou R, François Deux J, Vallee JP, Adamopoulos D. Hybrid PET/MR in Cardiac Imaging. Magn Reson Imaging Clin N Am 2023; 31:613-624. [PMID: 37741645 DOI: 10.1016/j.mric.2023.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/25/2023]
Abstract
In the last few years, technological advances in MR imaging, PET detectors, and attenuation correction algorithms have allowed the creation of truly integrated PET/MR imaging systems, for both clinical and research applications. These machines allow a comprehensive investigation of cardiovascular diseases, by offering a wide variety of detailed anatomical and functional data in combination. Despite significant pathophysiologic mechanisms being clarified by this new data, its clinical relevance and prognostic significance have not been demonstrated yet.
Collapse
Affiliation(s)
- Elsa Hervier
- Diagnostics Department, Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Gabrielle-Perret-Gentil 4 street, 1205, Geneva, Switzerland
| | - Carl Glessgen
- Diagnostics Department, Radiology, Geneva University Hospital, Gabrielle-Perret-Gentil 4 street, 1205, Geneva, Switzerland
| | - René Nkoulou
- Diagnostics Department, Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Gabrielle-Perret-Gentil 4 street, 1205, Geneva, Switzerland
| | - Jean François Deux
- Diagnostics Department, Radiology, Geneva University Hospital, Gabrielle-Perret-Gentil 4 street, 1205, Geneva, Switzerland
| | - Jean-Paul Vallee
- Diagnostics Department, Radiology, Geneva University Hospital, Gabrielle-Perret-Gentil 4 street, 1205, Geneva, Switzerland
| | - Dionysios Adamopoulos
- Department of Medical Specialties, Cardiology, Geneva University Hospital, Gabrielle-Perret-Gentil 4 street, 1205, Geneva, Switzerland.
| |
Collapse
|
3
|
Maurer A, Sustar A, Giannopoulos AA, Grünig H, Bakula A, Patriki D, von Felten E, Messerli M, Pazhenkottil AP, Gebhard C, Kaufmann PA, Buechel RR, Fuchs TA. Left ventricular function and volumes from gated [ 13N]-ammonia positron emission tomography myocardial perfusion imaging: A prospective head-to-head comparison against CMR using a hybrid PET/MR device. J Nucl Cardiol 2023; 30:616-625. [PMID: 35819716 DOI: 10.1007/s12350-022-03029-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 05/22/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Positron emission tomography (PET) myocardial perfusion imaging (MPI) can be used to evaluate left ventricular (LV) volumes and function. We performed a head-to-head comparison of LV function and volumes obtained simultaneously using [13N]-ammonia-PET and cardiac magnetic resonance (CMR), with the latter serving as the reference standard. METHODS AND RESULTS In this prospective study, 51 patients underwent [13N]-ammonia-PET MPI and CMR using a hybrid PET/MR device. Left ventricular end-systolic volumes (LVESV), end-diastolic volumes (LVEDV), stroke volumes (LVSV), ejection fractions (LVEF), and segmental wall motion were analyzed for both methods and were compared using correlational and Bland-Altman (BA) analysis; segmental wall motion was compared using ANOVA. The agreement between [13N]-ammonia-PET and CMR for LVEF was good, with minimal bias (- .6%) and narrow BA limits of agreement (- 7.9% to 6.8%), but [13N]-ammonia-PET systematically underestimated LV volumes, with high bias in LVESV (- 11.2 ml), LVEDV (- 28.9 ml), and LVSV (- 17.5 ml). Mean segmental wall motion in [13N]-ammonia-PET differed significantly among the corresponding normokinetic (6.6 ± 2 mm), hypokinetic (5.1 ± 2 mm), and akinetic (3.3 ± 2 mm) segments in CMR (P < .01). CONCLUSION LVEF and LV wall motion can be accurately assessed using [13N]-ammonia-PET MPI, although LV volumes are significantly underestimated compared to CMR.
Collapse
Affiliation(s)
- Alexander Maurer
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Aleksandra Sustar
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Hannes Grünig
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Adam Bakula
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Dimitri Patriki
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Elia von Felten
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.
| |
Collapse
|
4
|
Siekkinen R, Kirjavainen AK, Koskensalo K, Smith NAS, Fenwick A, Saunavaara V, Tolvanen T, Iida H, Saraste A, Teräs M, Teuho J. Assessment of a digital and an analog PET/CT system for accurate myocardial perfusion imaging with a flow phantom. J Nucl Cardiol 2022; 29:1964-1972. [PMID: 33948894 PMCID: PMC9345842 DOI: 10.1007/s12350-021-02631-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 04/02/2021] [Indexed: 12/24/2022]
Abstract
In Myocardial Perfusion Imaging (MPI) with Positron Emission Tomography/Computed Tomography (PET/CT) systems, accurate quantification is essential. We assessed flow quantification accuracy over various injected activities using a flow phantom. METHODS The study was performed on the digital 4-ring Discovery MI (DMI-20) and analog Discovery 690 (D690) PET/CT systems, using 325-1257 MBq of [15O]H2O. PET performance and flow quantification accuracy were assessed in terms of count-rates, dead-time factors (DTF), scatter fractions (SF), time-activity curves (TACs), areas-under-the-curves (AUCs) and flow values. RESULTS On DMI-20, prompts of 12.8 Mcps, DTF of 2.06 and SF of 46.1% were measured with 1257 MBq of activity. On the D690, prompts of 6.85 Mcps, DTF of 1.57 and SF of 32.5% were measured with 1230 MBq of activity. AUC values were linear over all activities. Mean wash-in flow error was - 9% for both systems whereas wash-out flow error was - 5% and - 6% for DMI-20 and D690. With the highest activity, wash-out flow error was - 12% and - 7% for the DMI-20 and D690. CONCLUSION DMI-20 and D690 preserved accurate flow quantification over all injected activities, with maximum error of - 12%. In the future, flow quantification accuracy over the activities and count-rates evaluated in this study should be assessed.
Collapse
Affiliation(s)
- Reetta Siekkinen
- Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, Turku, 20521, Finland.
- Department of Medical Physics, Turku University Hospital, Turku, Finland.
- Department of Computing, University of Turku, Turku, Finland.
| | - Anna K Kirjavainen
- Radiopharmaceutical Chemistry Laboratory, Turku PET Centre, University of Turku, Turku, Finland
| | - Kalle Koskensalo
- Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, Turku, 20521, Finland
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | | | | | - Virva Saunavaara
- Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, Turku, 20521, Finland
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Tuula Tolvanen
- Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, Turku, 20521, Finland
- Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Hidehiro Iida
- Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, Turku, 20521, Finland
| | - Antti Saraste
- Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, Turku, 20521, Finland
- Heart Center, Turku University Hospital, Turku, Finland
| | - Mika Teräs
- Department of Medical Physics, Turku University Hospital, Turku, Finland
- Department of Biomedicine, University of Turku, Turku, Finland
| | - Jarmo Teuho
- Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, Turku, 20521, Finland
| |
Collapse
|
5
|
Rasul S, Beitzke D, Wollenweber T, Rausch I, Lassen ML, Stelzmüller ME, Mitterhauser M, Pichler V, Beyer T, Loewe C, Hacker M. Assessment of left and right ventricular functional parameters using dynamic dual-tracer [ 13N]NH3 and [ 18F]FDG PET/MRI. J Nucl Cardiol 2022; 29:1003-1017. [PMID: 33094471 PMCID: PMC9163002 DOI: 10.1007/s12350-020-02391-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 09/16/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND Cardiac positron emission tomography/magnetic resonance imaging (PET/MRI) can assess various cardiovascular diseases. In this study, we intra-individually compared right (RV) and left ventricular (LV) parameters obtained from dual-tracer PET/MRI scan. METHODS In 22 patients with coronary heart disease (69 ± 9 years) dynamic [13N]NH3 (NH3) and [18F]FDG (FDG) PET scans were acquired. The first 2 minutes were used to calculate LV and RV first-pass ejection fraction (FPEF). Additionally, LV end-systolic (LVESV) and end-diastolic (LVEDV) volume and ejection fraction (LVEF) were calculated from the early (EP) and late-myocardial phases (LP). MRI served as a reference. RESULTS RVFPEF and LVFPEF from FDG and NH3 as well as RVEF and LVEF from MRI were (28 ± 11%, 32 ± 15%), (32 ± 11%, 41 ± 14%) and (42 ± 16%, 45 ± 19%), respectively. LVESV, LVEDV and LVEF from EP FDG and NH3 in 8 and 16 gates were [71 (15 to 213 mL), 98 (16 to 241 mL), 32 ± 17%] and [50 (17 to 206 mL), 93 (13 to 219 mL), 36 ± 17%] as well as [60 (19 to 360 mL), 109 (56 to 384 mL), 41 ± 22%] and [54 (16 to 371 mL), 116 (57 to 431 mL), 46 ± 24%], respectively. Moreover, LVESV, LVEDV and LVEF acquired from LP FDG and NH3 were (85 ± 63 mL, 138 ± 63 mL, 47 ± 19%) and (79 ± 56 mL, 137 ± 63 mL, 47 ± 20%), respectively. The LVESV, LVEDV from MRI were 93 ± 66 mL and 153 ± 71 mL, respectively. Significant correlations were observed for RVFPEF and LVFPEF between FDG and MRI (R = .51, P = .01; R = .64, P = .001), respectively. LVESV, LVEDV, and LVEF revealed moderate to strong correlations to MRI when they acquired from EP FDG and NH3 in 16 gates (all R > .7, P = .000). Similarly, all LV parameters from LP FDG and NH3 correlated good to strongly positive with MRI (all R > .7, and P < .001), except EDV from NH3 weakly correlated to EDV of MRI (R = .54, P < .05). Generally, Bland-Altman plots showed good agreements between PET and MRI. CONCLUSIONS Deriving LV and RV functional values from various phases of dynamic NH3 and FDG PET is feasible. These results could open a new perspective for further clinical applications of the PET examinations.
Collapse
Affiliation(s)
- Sazan Rasul
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Floor 5L, 1090, Vienna, Austria
| | - Dietrich Beitzke
- Division of Cardiovascular and Interventional Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Tim Wollenweber
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Floor 5L, 1090, Vienna, Austria
| | - Ivo Rausch
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Martin Lyngby Lassen
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
- Artificial Intelligence in Medicine Program, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | | | - Markus Mitterhauser
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Floor 5L, 1090, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Verena Pichler
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Floor 5L, 1090, Vienna, Austria
| | - Thomas Beyer
- QIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Christian Loewe
- Division of Cardiovascular and Interventional Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Marcus Hacker
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Waehringer Guertel 18-20, Floor 5L, 1090, Vienna, Austria.
| |
Collapse
|
6
|
Camoni L, Cerudelli E. First-pass cardiac PET: Potentiality and limitations. J Nucl Cardiol 2022; 29:1018-1020. [PMID: 33604788 DOI: 10.1007/s12350-020-02476-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 11/30/2020] [Indexed: 11/25/2022]
Affiliation(s)
- Luca Camoni
- Nuclear Medicine, University of Brescia, Brescia, Italy.
| | | |
Collapse
|
7
|
Azarine A, Scalbert F, Garçon P. Cardiac functional imaging. Presse Med 2022; 51:104119. [PMID: 35321846 DOI: 10.1016/j.lpm.2022.104119] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 01/27/2022] [Accepted: 03/11/2022] [Indexed: 01/01/2023] Open
Abstract
During the last 20 years, cardiac imaging has drastically evolved. Positron emission tomography (PET), fast three-dimensional (3D) imaging with the latest generations of echocardiography & multi-detector computed tomography (CT), stress perfusion assessed by magnetic resonance imaging (MRI), blood flow analysis using four-dimensional (4D) flow MRI, all these techniques offer new trends for optimal noninvasive functional cardiac imaging. Dynamic functional imaging is obtained by acquiring images of the heart at different phases of the cardiac cycle, allowing assessment of cardiac motion, function, and perfusion. Between CT and Cardiac MRI (CMR), CMR has the best temporal resolution, which is suitable for functional imaging while cardiac CT provides higher spatial resolution with isotropic data that have an identical resolution in the three dimensions of the space. The latest generations of CT scanners enable whole heart assessment in one beat, offering also an acceptable temporal resolution with the possibility to display the images in a dynamic mode. Another rapidly growing technique using functional and molecular imaging for the assessment of biological and metabolic pathways is the PET using radio-labeled tracers. Meanwhile, the oldest cardiac imaging tool with doppler ultrasound technology has never stopped evolving. Echocardiography today performs 3D imaging, stress perfusion, and myocardial strain assessment, with high temporal resolution. It still is the first line and more accessible exam for the patient. These different modalities are complementary and may be even combined into PET-CT or PET-MRI. The ability to combine the functional/molecular data with anatomical images may implement a new dimension to our diagnostic tools.
Collapse
Affiliation(s)
- Arshid Azarine
- Radiology Department, Groupe Hospitalier Paris Saint-Joseph, 185, Rue Raymond Losserand, 75014, Paris, France.
| | - François Scalbert
- Nuclear Medecine Department, Hôpital Bichat-Claude Bernard, 46 rue Henri Huchard, 75877, Paris, France
| | - Philippe Garçon
- Cardiology Department, Groupe Hospitalier Paris Saint-Joseph, 185, Rue Raymond Losserand, 75014, Paris, France
| |
Collapse
|
8
|
Milidonis X, Nazir MS, Schneider T, Capstick M, Drost S, Kok G, Pelevic N, Poelma C, Schaeffter T, Chiribiri A. Pixel-wise assessment of cardiovascular magnetic resonance first-pass perfusion using a cardiac phantom mimicking transmural myocardial perfusion gradients. Magn Reson Med 2020; 84:2871-2884. [PMID: 32426854 PMCID: PMC7611223 DOI: 10.1002/mrm.28296] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 03/05/2020] [Accepted: 04/02/2020] [Indexed: 01/31/2023]
Abstract
PURPOSE Cardiovascular magnetic resonance first-pass perfusion for the pixel-wise detection of coronary artery disease is rapidly becoming the clinical standard, yet no widely available method exists for its assessment and validation. This study introduces a novel phantom capable of generating spatially dependent flow values to enable assessment of new perfusion imaging methods at the pixel level. METHODS A synthetic multicapillary myocardial phantom mimicking transmural myocardial perfusion gradients was designed and manufactured with high-precision 3D printing. The phantom was used in a stationary flow setup providing reference myocardial perfusion rates and was scanned on a 3T system. Repeated first-pass perfusion MRI for physiological perfusion rates between 1 and 4 mL/g/min was performed using a clinical dual-sequence technique. Fermi function-constrained deconvolution was used to estimate pixel-wise perfusion rate maps. Phase contrast (PC)-MRI was used to obtain velocity measurements that were converted to perfusion rates for validation of reference values and cross-method comparison. The accuracy of pixel-wise maps was assessed against simulated reference maps. RESULTS PC-MRI indicated excellent reproducibility in perfusion rate (coefficient of variation [CoV] 2.4-3.5%) and correlation with reference values (R2 = 0.985) across the full physiological range. Similar results were found for first-pass perfusion MRI (CoV 3.7-6.2%, R2 = 0.987). Pixel-wise maps indicated a transmural perfusion difference of 28.8-33.7% for PC-MRI and 23.8-37.7% for first-pass perfusion, matching the reference values (30.2-31.4%). CONCLUSION The unique transmural perfusion pattern in the phantom allows effective pixel-wise assessment of first-pass perfusion acquisition protocols and quantification algorithms before their introduction into routine clinical use.
Collapse
Affiliation(s)
- Xenios Milidonis
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - Muhummad Sohaib Nazir
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - Torben Schneider
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.,Philips Healthcare, Guilford, United Kingdom
| | | | - Sita Drost
- Laboratory for Aero- and Hydrodynamics, Technische Universiteit Delft, Delft, Netherlands
| | | | | | - Christian Poelma
- Laboratory for Aero- and Hydrodynamics, Technische Universiteit Delft, Delft, Netherlands
| | | | - Amedeo Chiribiri
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| |
Collapse
|
9
|
Rischpler C, Siebermair J, Kessler L, Quick HH, Umutlu L, Rassaf T, Antoch G, Herrmann K, Nensa F. Cardiac PET/MRI: Current Clinical Status and Future Perspectives. Semin Nucl Med 2020; 50:260-269. [PMID: 32284112 DOI: 10.1053/j.semnuclmed.2020.02.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Combined PET/MRI has now been in clinical routine for almost 10 years. Since then, it has not only had to face validation, comparison and research questions, it has also been increasingly used in clinical routine. A number of cardiovascular applications have become established here, whereby viability imaging and assessment of inflammatory and infiltrative processes in the heart are to be emphasized. However, further interesting applications are expected in the near future. This review summarizes the most important clinical applications on the one hand and mentions interesting areas of application in research on the other.
Collapse
Affiliation(s)
- Christoph Rischpler
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
| | - Johannes Siebermair
- Department of Cardiology and Vascular Medicine, University Hospital Essen, West German Heart and Vascular Center, University of Duisburg-Essen, Essen, Germany
| | - Lukas Kessler
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Harald H Quick
- High-Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany; Erwin L Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
| | - Lale Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Tienush Rassaf
- Department of Cardiology and Vascular Medicine, University Hospital Essen, West German Heart and Vascular Center, University of Duisburg-Essen, Essen, Germany
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Düsseldorf, Düsseldorf, Germany
| | - Ken Herrmann
- Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Felix Nensa
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| |
Collapse
|