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Husso M, Nissi MJ, Kuivanen A, Halonen P, Tarkia M, Teuho J, Saunavaara V, Vainio P, Sipola P, Manninen H, Ylä-Herttuala S, Knuuti J, Töyräs J. Quantification of porcine myocardial perfusion with modified dual bolus MRI - a prospective study with a PET reference. BMC Med Imaging 2019; 19:58. [PMID: 31349798 PMCID: PMC6660956 DOI: 10.1186/s12880-019-0359-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 07/17/2019] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND The reliable quantification of myocardial blood flow (MBF) with MRI, necessitates the correction of errors in arterial input function (AIF) caused by the T1 saturation effect. The aim of this study was to compare MBF determined by a traditional dual bolus method against a modified dual bolus approach and to evaluate both methods against PET in a porcine model of myocardial ischemia. METHODS Local myocardial ischemia was induced in five pigs, which were subsequently examined with contrast enhanced MRI (gadoteric acid) and PET (O-15 water). In the determination of MBF, the initial high concentration AIF was corrected using the ratio of low and high contrast AIF areas, normalized according to the corresponding heart rates. MBF was determined from the MRI, during stress and at rest, using the dual bolus and the modified dual bolus methods in 24 segments of the myocardium (total of 240 segments, five pigs in stress and rest). Due to image artifacts and technical problems 53% of the segments had to be rejected from further analyses. These two estimates were later compared against respective rest and stress PET-based MBF measurements. RESULTS Values of MBF were determined for 112/240 regions. Correlations for MBF between the modified dual bolus method and PET was rs = 0.84, and between the traditional dual bolus method and PET rs = 0.79. The intraclass correlation was very good (ICC = 0.85) between the modified dual bolus method and PET, but poor between the traditional dual bolus method and PET (ICC = 0.07). CONCLUSIONS The modified dual bolus method showed a better agreement with PET than the traditional dual bolus method. The modified dual bolus method was found to be more reliable than the traditional dual bolus method, especially when there was variation in the heart rate. However, the difference between the MBF values estimated with either of the two MRI-based dual-bolus methods and those estimated with the gold-standard PET method were statistically significant.
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Affiliation(s)
- Minna Husso
- Diagnostic Imaging Center, Kuopio University Hospital, PO Box 100, 70029, Kuopio, KYS, Finland.
| | - Mikko J Nissi
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
| | - Antti Kuivanen
- A.I. Virtanen Institute for Molecule Sciences, University of Eastern Finland, Kuopio, Finland
| | - Paavo Halonen
- A.I. Virtanen Institute for Molecule Sciences, University of Eastern Finland, Kuopio, Finland
| | - Miikka Tarkia
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Jarmo Teuho
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Virva Saunavaara
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland.,Department of Medical Physics, Turku University Hospital, Turku, Finland
| | - Pauli Vainio
- Diagnostic Imaging Center, Kuopio University Hospital, PO Box 100, 70029, Kuopio, KYS, Finland
| | - Petri Sipola
- Diagnostic Imaging Center, Kuopio University Hospital, PO Box 100, 70029, Kuopio, KYS, Finland
| | - Hannu Manninen
- Diagnostic Imaging Center, Kuopio University Hospital, PO Box 100, 70029, Kuopio, KYS, Finland
| | - Seppo Ylä-Herttuala
- A.I. Virtanen Institute for Molecule Sciences, University of Eastern Finland, Kuopio, Finland.,Heart Center and Gene Therapy Unit, Kuopio University Hospital, Kuopio, Finland
| | - Juhani Knuuti
- Turku PET Centre, Turku University Hospital and University of Turku, Turku, Finland
| | - Juha Töyräs
- Diagnostic Imaging Center, Kuopio University Hospital, PO Box 100, 70029, Kuopio, KYS, Finland.,Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.,School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
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Broadbent DA, Biglands JD, Ripley DP, Higgins DM, Greenwood JP, Plein S, Buckley DL. Sensitivity of quantitative myocardial dynamic contrast-enhanced MRI to saturation pulse efficiency, noise and t1 measurement error: Comparison of nonlinearity correction methods. Magn Reson Med 2015; 75:1290-300. [PMID: 25946025 DOI: 10.1002/mrm.25726] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Revised: 03/19/2015] [Accepted: 03/20/2015] [Indexed: 12/12/2022]
Abstract
PURPOSE To compare methods designed to minimize or correct signal nonlinearity in quantitative myocardial dynamic contrast-enhanced (DCE) MRI. METHODS DCE-MRI studies were simulated and data acquired in eight volunteers. Signal nonlinearity was corrected using either a dual-bolus approach or model-based correction using proton-density weighted imaging (conventional or dual-sequence acquisition) or T1 data (native or bookend). Scanning of healthy and infarcted myocardium at 3 T was simulated, including noise, saturation imperfection and T1 measurement error. Data were analyzed using model-based deconvolution with a one-compartment (mono-exponential) model. RESULTS Substantial variation between methods was demonstrated in volunteers. In simulations the dual-bolus method proved stable for realistic levels of saturation efficiency but demonstrated bias due to residual nonlinearity. Model-based methods performed ideally in the absence of confounding error sources and were generally robust to noise or saturation imperfection, except for native T1 based correction which was highly sensitive to the latter. All methods demonstrated large variation in accuracy above an over-saturation level where baseline signal was nulled. For the dual-sequence approach this caused substantial bias at the saturation efficiencies observed in volunteers. CONCLUSION The choice of nonlinearity correction method in myocardial DCE-MRI impacts on accuracy and precision of estimated parameters, particularly in the presence of nonideal saturation.
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Affiliation(s)
- David A Broadbent
- Division of Biomedical Imaging, University of Leeds, Leeds, United Kingdom.,Department of Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.,Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, United Kingdom
| | - John D Biglands
- Division of Biomedical Imaging, University of Leeds, Leeds, United Kingdom.,Department of Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.,Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, United Kingdom
| | - David P Ripley
- Division of Biomedical Imaging, University of Leeds, Leeds, United Kingdom.,Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, United Kingdom
| | | | - John P Greenwood
- Division of Biomedical Imaging, University of Leeds, Leeds, United Kingdom.,Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, United Kingdom
| | - Sven Plein
- Division of Biomedical Imaging, University of Leeds, Leeds, United Kingdom.,Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, United Kingdom
| | - David L Buckley
- Division of Biomedical Imaging, University of Leeds, Leeds, United Kingdom.,Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, United Kingdom
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