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Vauchot F, Dubois J, Bourdon A. Improving multi-pinhole CZT myocardial perfusion imaging specificity without changing sensibility by using adapted filter parameters. EJNMMI Res 2024; 14:27. [PMID: 38453724 PMCID: PMC10920588 DOI: 10.1186/s13550-024-01083-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 02/19/2024] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND Meta-analysis show the diagnostic performance of cardiac dedicated multi-pinhole cadmium-zinc-telluride myocardial perfusion imaging (MPI) with a sensibility around 0.9 and a specificity around 0.7. The aim of the present study is to explore a simple method to generate less artefact on MPI using single photon emission computed tomography (SPECT) and to enhance specificity without changing sensibility. RESULTS From October 2018 to March 2019, 200 patients who underwent SPECT with [99mTc]Tc-tetrofosmin were prospectively recruited: 100 patients with ischemia or necrosis diagnosis (first arm), and 100 patients with myocardial reversible SPECT artefact (second arm). Each SPECT was explored using two image process based on a Butterworth prefilter and post-filter: the original image processing (reconstruction A) with a cut-off frequency equals to 37% of the Nyquist frequency and order equals to 7, and a second image processing (reconstruction B) with a cut-off frequency equals to 25% of the Nyquist frequency and order equals to 5. For each patient, sum stress or rest score with and without septum (SSRS and SSRSws) were calculated with the two reconstructions. No significant statistical difference between SSRSa and SSRSb was identified for the first arm (P = 0.54) and the relative difference ∆r was - 0.5 ± 11.1% (95% CI - 2.7 to 1.7). We found a significant statistical difference between SSRSa and SSRSb for the second arm (p < 0.0001) and the relative difference ∆r was 69.7 ± 16.2% (95% CI 66.6-72.9). CONCLUSION In conclusion, using a Butterworth prefilter and post-filter cut-off frequency equal to 25% of the Nyquist frequency before iterative reconstruction generates less artefact and improves myocardial SPECT specificity without affecting sensibility compared with the original reconstruction.
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Affiliation(s)
- Fabien Vauchot
- Department of Nuclear Medicine, Montpellier University Hospital, Montpellier, France.
| | - Julien Dubois
- Department of Radiopharmacy, Montpellier University Hospital, Montpellier University, Montpellier, France
| | - Aurélie Bourdon
- Department of Nuclear Medicine, Montpellier University Hospital, Montpellier, France
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2
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Sartoretti T, Gennari AG, Sartoretti E, Skawran S, Maurer A, Buechel RR, Messerli M. Fully automated deep learning powered calcium scoring in patients undergoing myocardial perfusion imaging. J Nucl Cardiol 2023; 30:313-320. [PMID: 35301677 PMCID: PMC9984313 DOI: 10.1007/s12350-022-02940-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 02/12/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND To assess the accuracy of fully automated deep learning (DL) based coronary artery calcium scoring (CACS) from non-contrast computed tomography (CT) as acquired for attenuation correction (AC) of cardiac single-photon-emission computed tomography myocardial perfusion imaging (SPECT-MPI). METHODS AND RESULTS Patients were enrolled in this study as part of a larger prospective study (NCT03637231). In this study, 56 Patients who underwent cardiac SPECT-MPI due to suspected coronary artery disease (CAD) were prospectively enrolled. All patients underwent non-contrast CT for AC of SPECT-MPI twice. CACS was manually assessed (serving as standard of reference) on both CT datasets (n = 112) and by a cloud-based DL tool. The agreement in CAC scores and CAC score risk categories was quantified. For the 112 scans included in the analysis, interscore agreement between the CAC scores of the standard of reference and the DL tool was 0.986. The agreement in risk categories was 0.977 with a reclassification rate of 3.6%. Heart rate, image noise, body mass index (BMI), and scan did not significantly impact (p=0.09 - p=0.76) absolute percentage difference in CAC scores. CONCLUSION A DL tool enables a fully automated and accurate estimation of CAC scores in patients undergoing non-contrast CT for AC of SPECT-MPI.
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Affiliation(s)
- Thomas Sartoretti
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
- Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands
| | - Antonio G Gennari
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Elisabeth Sartoretti
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Stephan Skawran
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Alexander Maurer
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, University Hospital Zurich / University of Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
- University of Zurich, Zurich, Switzerland.
- Maastricht University Medical Center, Maastricht University, Maastricht, the Netherlands.
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Grossmann M, Giannopoulos AA, Bechtiger FA, Messerli M, Schwyzer M, Benz DC, Kudura K, Gebhard C, Gräni C, Pazhenkottil AP, Kaufmann PA, Buechel RR. Ultra-low-dose computed tomography for attenuation correction of cadmium-zinc-telluride single photon emission computed tomography myocardial perfusion imaging. J Nucl Cardiol 2020; 27:228-237. [PMID: 29923103 DOI: 10.1007/s12350-018-1303-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 04/30/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND The applicability of ultra-low-dose computed tomography (CT) for attenuation correction (AC) of single-photon-emission computed tomography myocardial perfusion imaging (SPECT-MPI) remains elusive. METHODS AND RESULTS One-hundred patients underwent one-day 99mTc-tetrofosmin stress-rest MPI and non-contrast enhanced cardiac CT with 120, 80, and 70 kilovolt peak (kVp) tube voltage and tube current of 200 milliamperes for creation of AC maps. Normalized percent myocardial uptake from SPECT-MPI using 80 kVp scans for AC showed excellent correlation vs AC from 120 kVp scans for stress [intraclass correlation (ICC) = 0.988, 95% CI = 0.986-0.989, P < .001] and rest (ICC = 0.985, 95% CI = 0.983-0.987, P < .001) with narrow Bland-Altman limits of agreement (BA-LA) (- 5.3% to 4.5% and - 5.4% to 4.4%, respectively) and minimal bias (- 0.4% and - 0.5%, respectively). Correlation of AC SPECT-MPI based on 70 vs 120 kVp scans was excellent for stress (ICC = 0.988, 95% CI = 0.986-0.989, P < .001) and rest (ICC = 0.986, 95% CI = 0.984-0.987, P < .001) with narrow BA-LA (- 5.3% to 4.4% and - 5.2% to 4.5%, respectively) and small bias (- 0.4% and - 0.3%, respectively). Mean effective radiation dose for the 120, 80 and 70 kVp scans were 0.58 ± 0.07, 0.19 ± 0.02, and 0.12 ± 0.01 mSv, respectively. CONCLUSIONS Attenuation maps for MPI obtained from ultra-low radiation dose CT scans are interchangeable with attenuation maps from standard-dose CT while offering a substantial reduction in radiation dose exposure.
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Affiliation(s)
- Marvin Grossmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Andreas A Giannopoulos
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Fabiola A Bechtiger
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Michael Messerli
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Moritz Schwyzer
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Dominik C Benz
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Ken Kudura
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Christoph Gräni
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland.
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Slomka PJ, Miller RJ, Hu LH, Germano G, Berman DS. Solid-State Detector SPECT Myocardial Perfusion Imaging. J Nucl Med 2019; 60:1194-1204. [DOI: 10.2967/jnumed.118.220657] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 06/18/2019] [Indexed: 02/07/2023] Open
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Popescu BA, Petersen SE, Maurovich-Horvat P, Haugaa KH, Donal E, Maurer G, Edvardsen T. The year 2017 in the European Heart Journal-Cardiovascular Imaging: Part I. Eur Heart J Cardiovasc Imaging 2019; 19:1099-1106. [PMID: 30085023 DOI: 10.1093/ehjci/jey109] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2018] [Accepted: 07/11/2018] [Indexed: 02/06/2023] Open
Abstract
The European Heart Journal - Cardiovascular Imaging was launched in 2012. It has gained an impressive impact factor of 8.336 during its first 6 years and is now established as one of the top 10 cardiovascular journals in the world and the most important cardiovascular imaging journal in Europe. The most important studies published in the journal in 2017 will be highlighted in two reports. Part I will focus on studies about myocardial function, coronary artery disease and myocardial ischaemia, and emerging techniques and applications in cardiovascular imaging, whereas Part II will focus on valvular heart disease, heart failure, cardiomyopathies, and congenital heart disease.
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Affiliation(s)
- Bogdan A Popescu
- Department of Cardiology, University of Medicine and Pharmacy "Carol Davila"-Euroecolab, Emergency Institute of Cardiovascular Diseases "Prof. Dr. C. C. Iliescu", Sos. Fundeni 258, Sector 2, Bucharest, Romania
| | - Steffen E Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, UK.,Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, UK
| | - Pál Maurovich-Horvat
- MTA-SE Cardiovascular Imaging Research Group (CIRG), Heart and Vascular Center, Semmelweis University, Varosmajor u.68, Budapest, Hungary
| | - Kristina H Haugaa
- Department of Cardiology, Centre of Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, NO-0027 Oslo, Norway.,Institute for Clinical Medicine, University of Oslo, Sognsvannsveien 20, NO-0027 Oslo, Norway
| | - Erwan Donal
- Cardiology and CIC-IT1414, CHU Rennes, Rennes, France and LTSI INSERM 1099, University Rennes-1, Rennes, France
| | - Gerald Maurer
- Division of Cardiology, Department of Internal Medicine II, Medical University of Vienna, Spitalgasse 23, Wien, Austria
| | - Thor Edvardsen
- Department of Cardiology, Centre of Cardiological Innovation, Oslo University Hospital, Rikshospitalet, Sognsvannsveien 20, NO-0027 Oslo, Norway.,Institute for Clinical Medicine, University of Oslo, Sognsvannsveien 20, NO-0027 Oslo, Norway
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Abstract
Cardiac SPECT continues to play a critical role in detecting and managing cardiovascular disease, in particularly coronary artery disease (CAD) (Jaarsma et al 2012 J. Am. Coll. Cardiol. 59 1719-28), (Agostini et al 2016 Eur. J. Nucl. Med. Mol. Imaging 43 2423-32). While conventional dual-head SPECT scanners using parallel-hole collimators and scintillation crystals with photomultiplier tubes are still the workhorse of cardiac SPECT, they have the limitations of low photon sensitivity (~130 count s-1 MBq-1), poor image resolution (~15 mm) (Imbert et al 2012 J. Nucl. Med. 53 1897-903), relatively long acquisition time, inefficient use of the detector, high radiation dose, etc. Recently our field observed an exciting growth of new developments of dedicated cardiac scanners and collimators, as well as novel imaging algorithms for quantitative cardiac SPECT. These developments have opened doors to new applications with potential clinical impact, including ultra-low-dose imaging, absolute quantification of myocardial blood flow (MBF) and coronary flow reserve (CFR), multi-radionuclide imaging, and improved image quality as a result of attenuation, scatter, motion, and partial volume corrections (PVCs). In this article, we review the recent advances in cardiac SPECT instrumentation and imaging methods. This review mainly focuses on the most recent developments published since 2012 and points to the future of cardiac SPECT from an imaging physics perspective.
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Affiliation(s)
- Jing Wu
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, United States of America
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Giannopoulos AA, Buechel RR. A further step towards getting cardiac respiratory motion under control. J Nucl Cardiol 2018; 25:1310-1312. [PMID: 28247262 DOI: 10.1007/s12350-017-0835-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 02/17/2017] [Indexed: 10/20/2022]
Affiliation(s)
- Andreas A Giannopoulos
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Ronny R Buechel
- Cardiac Imaging, Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
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8
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Benz DC, Fuchs TA. Breathless or breathtaking: Respiratory motion correction. J Nucl Cardiol 2018; 25:429-432. [PMID: 27435279 DOI: 10.1007/s12350-016-0590-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2016] [Accepted: 07/05/2016] [Indexed: 11/26/2022]
Affiliation(s)
- Dominik C Benz
- Department of Nuclear Medicine, University Hospital Zurich, Ramistr 100, 8091, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, University Hospital Zurich, Ramistr 100, 8091, Zurich, Switzerland.
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9
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van Dijk JD, van Dalen JA, Mouden M, Ottervanger JP, Knollema S, Slump CH, Jager PL. Value of automatic patient motion detection and correction in myocardial perfusion imaging using a CZT-based SPECT camera. J Nucl Cardiol 2018; 25:419-428. [PMID: 27406376 PMCID: PMC5869883 DOI: 10.1007/s12350-016-0571-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Accepted: 06/01/2016] [Indexed: 12/30/2022]
Abstract
BACKGROUND Correction of motion has become feasible on cadmium-zinc-telluride (CZT)-based SPECT cameras during myocardial perfusion imaging (MPI). Our aim was to quantify the motion and to determine the value of automatic correction using commercially available software. METHODS AND RESULTS We retrospectively included 83 consecutive patients who underwent stress-rest MPI CZT-SPECT and invasive fractional flow reserve (FFR) measurement. Eight-minute stress acquisitions were reformatted into 1.0- and 20-second bins to detect respiratory motion (RM) and patient motion (PM), respectively. RM and PM were quantified and scans were automatically corrected. Total perfusion deficit (TPD) and SPECT interpretation-normal, equivocal, or abnormal-were compared between the noncorrected and corrected scans. Scans with a changed SPECT interpretation were compared with FFR, the reference standard. Average RM was 2.5 ± 0.4 mm and maximal PM was 4.5 ± 1.3 mm. RM correction influenced the diagnostic outcomes in two patients based on TPD changes ≥7% and in nine patients based on changed visual interpretation. In only four of these patients, the changed SPECT interpretation corresponded with FFR measurements. Correction for PM did not influence the diagnostic outcomes. CONCLUSION Respiratory motion and patient motion were small. Motion correction did not appear to improve the diagnostic outcome and, hence, the added value seems limited in MPI using CZT-based SPECT cameras.
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Affiliation(s)
- Joris D van Dijk
- Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000, Zwolle, GK, The Netherlands.
- MIRA: Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands.
| | - Jorn A van Dalen
- Department of Medical Physics, Isala Hospital, Zwolle, The Netherlands
| | - Mohamed Mouden
- Department of Cardiology, Isala Hospital, Zwolle, The Netherlands
| | | | - Siert Knollema
- Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000, Zwolle, GK, The Netherlands
| | - Cornelis H Slump
- MIRA: Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands
| | - Pieter L Jager
- Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000, Zwolle, GK, The Netherlands
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