1
|
Ibrahim J, Soman P. The past, present, and future of attenuation correction for myocardial perfusion imaging. J Nucl Cardiol 2023; 30:1794-1796. [PMID: 37311912 DOI: 10.1007/s12350-023-03311-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 04/21/2023] [Indexed: 06/15/2023]
Affiliation(s)
- Joseph Ibrahim
- Division of Cardiology & the Heart and Vascular Institute, University of Pittsburgh Medical Center, A-429 Scaife Hall, 200 Lothrop Street, Pittsburgh, PA, 15213, USA
| | - Prem Soman
- Division of Cardiology & the Heart and Vascular Institute, University of Pittsburgh Medical Center, A-429 Scaife Hall, 200 Lothrop Street, Pittsburgh, PA, 15213, USA.
| |
Collapse
|
2
|
Hage FG, Einstein AJ, Ananthasubramaniam K, Bourque JM, Case J, DePuey EG, Hendel RC, Henzlova MJ, Shah NR, Abbott BG, Al Jaroudi W, Better N, Doukky R, Duvall WL, Malhotra S, Pagnanelli R, Peix A, Reyes E, Saeed IM, Sanghani RM, Slomka PJ, Thompson RC, Veeranna V, Williams KA, Winchester DE. Quality metrics for single-photon emission computed tomography myocardial perfusion imaging: an ASNC information statement. J Nucl Cardiol 2023; 30:864-907. [PMID: 36607538 DOI: 10.1007/s12350-022-03162-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 11/17/2022] [Indexed: 01/07/2023]
Affiliation(s)
- Fadi G Hage
- Section of Cardiology, Birmingham VA Medical Center, Birmingham, AL, USA.
- Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, 446 GSB, 520 19Th Street South, Birmingham, AL, 35294, USA.
| | - Andrew J Einstein
- Seymour, Paul and Gloria Milstein Division of Cardiology, Department of Medicine and Department of Radiology, Columbia University Irving Medical Center and NewYork-Presbyterian Hospital, New York, NY, USA
| | | | - Jamieson M Bourque
- Department of Medicine (Cardiology), University of Virginia Health System, Charlottesville, VA, USA
- Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, VA, USA
| | - James Case
- Cardiovascular Imaging Technologies, Kansas City, MO, USA
| | - E Gordon DePuey
- Mount Sinai Morningside Hospital, New York, NY, USA
- Bay Ridge Medical Imaging, Brooklyn, NY, USA
| | - Robert C Hendel
- Department of Medicine, Division of Cardiology, Tulane University School of Medicine, New Orleans, LA, USA
| | | | - Nishant R Shah
- Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Brian G Abbott
- Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Wael Al Jaroudi
- Division of Cardiovascular Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Nathan Better
- Department of Nuclear Medicine and Cardiology, Royal Melbourne Hospital and University of Melbourne, Melbourne, Australia
| | - Rami Doukky
- Division of Cardiology, Cook County Health and Hospitals System, Chicago, IL, USA
| | - W Lane Duvall
- Heart and Vascular Institute, Hartford Hospital, Hartford, CT, USA
| | - Saurabh Malhotra
- Division of Cardiology, Cook County Health and Hospitals System, Chicago, IL, USA
| | | | - Amalia Peix
- Nuclear Medicine Department, Institute of Cardiology and Cardiovascular Surgery, La Habana, Cuba
| | - Eliana Reyes
- Nuclear Medicine Department, Royal Brompton and Harefield NHS Foundation Trust, London, UK
| | - Ibrahim M Saeed
- Virginia Heart, Falls Church, VA, USA
- INOVA Heart and Vascular Institute, Falls Church, VA, USA
- University of Missouri, Kansas City, MO, USA
| | - Rupa M Sanghani
- Division of Cardiology, Department of Medicine, Rush University Medical Center, Chicago, IL, USA
| | | | - Randall C Thompson
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO, USA
| | - Vikas Veeranna
- Division of Cardiology, Department of Medicine, New England Heart and Vascular Institute, Manchester, NH, USA
| | - Kim A Williams
- Department of Medicine, University of Louisville Department of Medicine, Louisville, KY, USA
| | - David E Winchester
- Malcom Randall VA Medical Center, Gainesville, FL, USA
- Division of Cardiovascular Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| |
Collapse
|
3
|
Torkaman M, Yang J, Shi L, Wang R, Miller EJ, Sinusas AJ, Liu C, Gullberg GT, Seo Y. Data Management and Network Architecture Effect on Performance Variability in Direct Attenuation Correction via Deep Learning for Cardiac SPECT: A Feasibility Study. IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES 2022; 6:755-765. [PMID: 36059429 PMCID: PMC9438341 DOI: 10.1109/trpms.2021.3138372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Attenuation correction (AC) is important for accurate interpretation of SPECT myocardial perfusion imaging (MPI). However, it is challenging to perform AC in dedicated cardiac systems not equipped with a transmission imaging capability. Previously, we demonstrated the feasibility of generating attenuation-corrected SPECT images using a deep learning technique (SPECTDL) directly from non-corrected images (SPECTNC). However, we observed performance variability across patients which is an important factor for clinical translation of the technique. In this study, we investigate the feasibility of overcoming the performance variability across patients for the direct AC in SPECT MPI by proposing to develop an advanced network and a data management strategy. To investigate, we compared the accuracy of the SPECTDL for the conventional U-Net and Wasserstein cycle GAN (WCycleGAN) networks. To manage the training data, clustering was applied to a representation of data in the lower-dimensional space, and the training data were chosen based on the similarity of data in this space. Quantitative analysis demonstrated that DL model with an advanced network improves the global performance for the AC task with the limited data. However, the regional results were not improved. The proposed data management strategy demonstrated that the clustered training has potential benefit for effective training.
Collapse
Affiliation(s)
- Mahsa Torkaman
- Radiology and Biomedical Imaging Department, University of California, San Francisco, CA, USA
| | - Jaewon Yang
- Radiology and Biomedical Imaging Department, University of California, San Francisco, CA, USA
| | - Luyao Shi
- Biomedical Engineering Department, Yale University, New Haven, CT, USA
| | - Rui Wang
- Radiology and Biomedical Imaging Department, Yale University, New Haven, CT, USA
| | - Edward J Miller
- Radiology and Biomedical Imaging Department, Yale University, New Haven, CT, USA
| | - Albert J Sinusas
- Biomedical Engineering Department, Yale University, New Haven, CT, USA; Radiology and Biomedical Imaging Department, Yale University, New Haven, CT, USA
| | - Chi Liu
- Biomedical Engineering Department, Yale University, New Haven, CT, USA; Radiology and Biomedical Imaging Department, Yale University, New Haven, CT, USA
| | - Grant T Gullberg
- Radiology and Biomedical Imaging Department, University of California, San Francisco, CA, USA
| | - Youngho Seo
- Radiology and Biomedical Imaging Department, University of California, San Francisco, CA, USA
| |
Collapse
|
4
|
Hagio T, Poitrasson-Rivière A, Moody JB, Renaud JM, Arida-Moody L, Shah RV, Ficaro EP, Murthy VL. "Virtual" attenuation correction: improving stress myocardial perfusion SPECT imaging using deep learning. Eur J Nucl Med Mol Imaging 2022; 49:3140-3149. [PMID: 35312837 DOI: 10.1007/s00259-022-05735-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 02/13/2022] [Indexed: 12/26/2022]
Abstract
PURPOSE Myocardial perfusion imaging (MPI) using single-photon emission computed tomography (SPECT) is widely used for coronary artery disease (CAD) evaluation. Although attenuation correction is recommended to diminish image artifacts and improve diagnostic accuracy, approximately 3/4ths of clinical MPI worldwide remains non-attenuation-corrected (NAC). In this work, we propose a novel deep learning (DL) algorithm to provide "virtual" DL attenuation-corrected (DLAC) perfusion polar maps solely from NAC data without concurrent computed tomography (CT) imaging or additional scans. METHODS SPECT MPI studies (N = 11,532) with paired NAC and CTAC images were retrospectively identified. A convolutional neural network-based DL algorithm was developed and trained on half of the population to predict DLAC polar maps from NAC polar maps. Total perfusion deficit (TPD) was evaluated for all polar maps. TPDs from NAC and DLAC polar maps were compared to CTAC TPDs in linear regression analysis. Moreover, receiver-operating characteristic analysis was performed on NAC, CTAC, and DLAC TPDs to predict obstructive CAD as diagnosed from invasive coronary angiography. RESULTS DLAC TPDs exhibited significantly improved linear correlation (p < 0.001) with CTAC (R2 = 0.85) compared to NAC vs. CTAC (R2 = 0.68). The diagnostic performance of TPD was also improved with DLAC compared to NAC with an area under the curve (AUC) of 0.827 vs. 0.780 (p = 0.012) with no statistically significant difference between AUC for CTAC and DLAC. At 88% sensitivity, specificity was improved by 18.9% for DLAC and 25.6% for CTAC. CONCLUSIONS The proposed DL algorithm provided attenuation correction comparable to CTAC without the need for additional scans. Compared to conventional NAC perfusion imaging, DLAC significantly improved diagnostic accuracy.
Collapse
Affiliation(s)
- Tomoe Hagio
- INVIA Medical Imaging Solutions, 3025 Boardwalk St, Suite 200, Ann Arbor, MI, 48108, USA.
| | | | - Jonathan B Moody
- INVIA Medical Imaging Solutions, 3025 Boardwalk St, Suite 200, Ann Arbor, MI, 48108, USA
| | - Jennifer M Renaud
- INVIA Medical Imaging Solutions, 3025 Boardwalk St, Suite 200, Ann Arbor, MI, 48108, USA
| | - Liliana Arida-Moody
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Ravi V Shah
- Department of Cardiology, Massachusetts General Hospital, Boston, MA, USA
| | - Edward P Ficaro
- INVIA Medical Imaging Solutions, 3025 Boardwalk St, Suite 200, Ann Arbor, MI, 48108, USA.,Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Venkatesh L Murthy
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
5
|
Huang JY, Huang CK, Yen RF, Chien KL, Wu YW. Diagnostic Effect of Attenuation Correction in Myocardial Perfusion Imaging in Different Coronary Arteries: A Systematic Review and Meta-Analysis. Front Cardiovasc Med 2021; 8:756060. [PMID: 34712715 PMCID: PMC8545877 DOI: 10.3389/fcvm.2021.756060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 09/15/2021] [Indexed: 11/29/2022] Open
Abstract
Background: The aim of this study was to determine whether, and if so how, attenuation correction (AC) improves the diagnostic performance of myocardial perfusion imaging (MPI) in different coronary artery-supplied territories, using coronary angiography as the reference standard. Methods: PubMed and EMBASE were searched until December 2020 for studies evaluating AC MPI for the diagnosis of coronary artery disease (CAD) with vessel-based data. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. For each study, the sensitivity, specificity, diagnostic odds ratios and areas under summary receiver operating characteristic curves (AUC) with 95% confidence intervals were calculated to determine the diagnostic accuracy of AC compared to non-AC MPI. A bivariate mixed-effects model was used to pool the data. Subgroup analyses considering the type of radiotracer and type of AC were performed. Results: A total of 264 articles were screened, of which 22 studies (2,608 patients) were enrolled. Significant improvements in specificity [0.78 vs. 0.58 in overall CAD, 0.87 vs. 0.61 in right coronary artery (RCA)] and diagnostic odds ratios (16 vs. 8 in overall CAD, 18 vs. 7 in RCA) after AC were shown in overall CAD at a patient level and RCA stenosis. Improvements in AUC were also noted. MPI had a similar diagnostic performance for detecting left anterior descending and left circumflex coronary artery stenosis with or without AC. There were trends of decreased sensitivity after AC, but none were significant. Diagnostic odds ratio showed significant improvement after AC only in the technetium-99m subgroup. Conclusion: The results of this study suggest that AC should be applied to MPI to improve the diagnosis of CAD regardless of which type of radiotracer, and that AC MPI can improve the specificity of detecting RCA stenosis.
Collapse
Affiliation(s)
- Jei-Yie Huang
- Department of Nuclear Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.,Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Chun-Kai Huang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Ruoh-Fang Yen
- Department of Nuclear Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yen-Wen Wu
- Department of Nuclear Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, National Taiwan University College of Medicine, Taipei, Taiwan.,Department of Nuclear Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.,Division of Cardiology, Cardiovascular Medical Center, Far Eastern Memorial Hospital, New Taipei City, Taiwan.,National Yang Ming Chao Tung University School of Medicine, Taipei, Taiwan
| |
Collapse
|
6
|
Torkaman M, Yang J, Shi L, Wang R, Miller EJ, Sinusas AJ, Liu C, Gullberg GT, Seo Y. Direct Image-Based Attenuation Correction using Conditional Generative Adversarial Network for SPECT Myocardial Perfusion Imaging. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2021; 11600:116000U. [PMID: 33727759 PMCID: PMC7956874 DOI: 10.1117/12.2580922] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Attenuation correction (AC) is important for an accurate interpretation and quantitative analysis of SPECT myocardial perfusion imaging. Dedicated cardiac SPECT systems have invaluable efficacy in the evaluation and risk stratification of patients with known or suspected cardiovascular disease. However, most dedicated cardiac SPECT systems are standalone, not combined with a transmission imaging capability such as computed tomography (CT) for generating attenuation maps for AC. To address this problem, we propose to apply a conditional generative adversarial network (cGAN) for generating attenuation-corrected SPECT images (SPECTGAN ) directly from non-corrected SPECT images (SPECTNC ) in image domain as a one-step process without requiring additional intermediate step. The proposed network was trained and tested for 100 cardiac SPECT/CT data from a GE Discovery NM 570c SPECT/CT, collected retrospectively at Yale New Haven Hospital.The generated images were evaluated quantitatively through the normalized root mean square error (NRMSE), peak signal to noise ratio (PSNR), and structural similarity index (SSIM) and statistically through joint histogram and error maps. In comparison to the reference CT-based correction (SPECTCTAC ), NRMSEs were 0.2258±0.0777 and 0.1410±0.0768 (37.5% reduction of errors); PSNRs 31.7712±2.9965 and 36.3823±3.7424 (14.5% improvement in signal to noise ratio); SSIMs 0.9877±0.0075 and 0.9949±0.0043 (0.7% improvement in structural similarity) for SPECTNC and SPECTGAN , respectively. This work demonstrates that the conditional adversarial training can achieve accurate CT-less attenuation correction for SPECT MPI, that is quantitatively comparable to CTAC. Standalone dedicated cardiac SPECT scanners can benefit from the proposed GAN to reduce attenuation artifacts efficiently.
Collapse
Affiliation(s)
- Mahsa Torkaman
- Physics Research Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Jaewon Yang
- Physics Research Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Luyao Shi
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Rui Wang
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
- Department of Engineering Physics, Tsinghua University, China
| | - Edward J. Miller
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
- Section of Cardiovascular Medicine, Department of Medicine, Yale University, New Haven, CT, USA
| | - Albert J. Sinusas
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
- Section of Cardiovascular Medicine, Department of Medicine, Yale University, New Haven, CT, USA
| | - Chi Liu
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
| | - Grant T. Gullberg
- Physics Research Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Youngho Seo
- Physics Research Laboratory, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Department of Nuclear Engineering, University of California, Berkeley, Berkeley, CA, USA
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, CA, USA
| |
Collapse
|
7
|
Steffen DA, Giannopoulos AA, Grossmann M, Messerli M, Schwyzer M, Gräni C, Gebhard C, Pazhenkottil AP, Kaufmann PA, Buechel RR. "Apical thinning": Relations between myocardial wall thickness and apical left ventricular tracer uptake as assessed with positron emission tomography myocardial perfusion imaging. J Nucl Cardiol 2020; 27:452-460. [PMID: 30109592 DOI: 10.1007/s12350-018-1397-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Accepted: 07/27/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND A reduction in left ventricular apical tracer uptake (apical thinning) is frequently observed in myocardial perfusion imaging (MPI), yet its cause remains a matter of debate, particularly in perfusion emission tomography (PET). This analysis sought to determine whether apical thinning in PET-MPI is attributable to true anatomical thinning of the left ventricular apical myocardium. METHODS AND RESULTS We retrospectively analyzed 57 patients without any history or signs of apical myocardial infarction who underwent rest PET-MPI with 13N-ammonia and contrast-enhanced cardiac computed tomography (CT). Semi-quantitative normalized percent apical 13N-ammonia uptake at rest, myocardial blood flow (MBF), and k2 wash-out rate constants were compared to apical myocardial wall thickness measurements derived from CT and base-to-apex gradients were calculated. Apical thinning was found in 93% of patients and in 74% when analysis of normalized apical tracer uptake was confined to end-systole. No significant correlation was found between apical myocardial thickness and apical tracer uptake (r = - 0.080, P = .553), MBF (r = - 0.211, P = .115), or k2 wash-out rate (r = - 0.023, P = .872), nor between apical myocardial thickness and any gradients. A statistically significant but small difference in apical myocardial thickness was observed in patients with moderately to severely reduced apical tracer uptake vs patients with normal to mildly reduced uptake (4.3 ± 0.7 mm vs 4.7 ± 0.7 mm; P = .043). CONCLUSIONS Apical thinning is a highly prevalent finding during 13N-ammonia PET-MPI that is not solely attributable to true anatomical apical wall thickness or the partial volume effect. Other factors that yet need to be identified seem to have a more prominent impact.
Collapse
Affiliation(s)
- Dominik A Steffen
- 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
| | - Marvin Grossmann
- 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
| | - Christoph Gräni
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Ramistrasse 100, 8091, Zurich, Switzerland
| | - Cathérine Gebhard
- 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.
| |
Collapse
|
8
|
Garcia EV, Slomka P, Moody JB, Germano G, Ficaro EP. Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications. J Nucl Cardiol 2020; 27:189-201. [PMID: 31654215 DOI: 10.1007/s12350-019-01906-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 07/11/2019] [Indexed: 11/30/2022]
Abstract
Single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) has attained widespread clinical acceptance as a standard of care for patients with known or suspected coronary artery disease (CAD). A significant contribution to this success has been the use of computer techniques to provide objective quantitative assessment in the standardization of the interpretation of these studies. Software platforms have been developed as a pipeline to provide the quantitative algorithms researched, developed and validated to be clinically useful so diagnosticians everywhere can benefit from these tools. The goal of this CME article (PART 1) is to describe the many quantitative tools that are clinically established and more importantly how clinicians should use them routinely in the interpretation, clinical management and therapy guidance of patients with CAD.
Collapse
Affiliation(s)
- Ernest V Garcia
- Department of Radiology and Imaging Sciences, Emory University, 101 Woodruff Circle, Room 1203, Atlanta, GA, 30322, USA.
| | - Piotr Slomka
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | | | - Guido Germano
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Edward P Ficaro
- INVIA Medical Imaging Solutions, Ann Arbor, MI, USA
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
9
|
Okuda K, Nakajima K, Yoneyama H, Shibutani T, Onoguchi M, Matsuo S, Hashimoto M, Kinuya S. Impact of iterative reconstruction with resolution recovery in myocardial perfusion SPECT: phantom and clinical studies. Sci Rep 2019; 9:19618. [PMID: 31873141 PMCID: PMC6928019 DOI: 10.1038/s41598-019-56097-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 12/05/2019] [Indexed: 11/11/2022] Open
Abstract
The corrections of photon attenuation, scatter, and depth-dependent blurring improve image quality in myocardial perfusion single-photon emission computed tomography (SPECT) imaging; however, the combined corrections induce artifacts. Here, we present the single correction method of depth-dependent blurring and its impact for myocardial perfusion distribution in phantom and clinical studies. The phantom and clinical patient images were acquired with two conditions: circular and noncircular orbits of gamma cameras yielded constant and variable depth-dependent blurring, respectively. An iterative reconstruction with the correction method of depth-dependent was used to reconstruct the phantom and clinical patient images. We found that the single correction method improved the robustness of phantom images whether the images contained constant or variable depth-dependent blurring. The myocardial perfusion databases generated from 72 normal patients exhibited uniform perfusion distribution of whole myocardium. In summary, the single correction method of depth-dependent blurring with iterative reconstruction is helpful for myocardial perfusion SPECT.
Collapse
Affiliation(s)
- Koichi Okuda
- Department of Physics, Kanazawa Medical University, Uchinada, Japan.
| | - Kenichi Nakajima
- Department of Functional Imaging and Artificial Intelligence, Kanazawa University, Kanazawa, Japan
| | - Hiroto Yoneyama
- Department of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan
| | - Takayuki Shibutani
- Department of Quantum Medical Technology, Kanazawa University, Kanazawa, Japan
| | - Masahisa Onoguchi
- Department of Quantum Medical Technology, Kanazawa University, Kanazawa, Japan
| | - Shinro Matsuo
- Department of Nuclear Medicine, Kanazawa University Hospital, Kanazawa, Japan
| | | | - Seigo Kinuya
- Department of Nuclear Medicine, Kanazawa University Hospital, Kanazawa, Japan
| |
Collapse
|
10
|
Garcia EV, Slomka P, Moody JB, Germano G, Ficaro EP. Quantitative Clinical Nuclear Cardiology, Part 1: Established Applications. J Nucl Med 2019; 60:1507-1516. [PMID: 31375569 DOI: 10.2967/jnumed.119.229799] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 07/11/2019] [Indexed: 01/10/2023] Open
Abstract
SPECT myocardial perfusion imaging has attained widespread clinical acceptance as a standard of care for patients with known or suspected coronary artery disease. A significant contribution to this success has been the use of computer techniques to provide objective quantitative assessment in the standardization of the interpretation of these studies. Software platforms have been developed as a pipeline to provide the quantitative algorithms researched, developed and validated to be clinically useful so diagnosticians everywhere can benefit from these tools. The goal of this continuing medical education article (part 1) is to describe the many quantitative tools that are clinically established and, more importantly, how clinicians should use them routinely in interpretation, clinical management, and therapy guidance for patients with coronary artery disease.
Collapse
Affiliation(s)
- Ernest V Garcia
- Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia
| | - Piotr Slomka
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | | | - Guido Germano
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California
| | - Edward P Ficaro
- INVIA Medical Imaging Solutions, Ann Arbor, Michigan; and.,Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| |
Collapse
|
11
|
Zaidi H, Nkoulou R. Artifact-free quantitative cardiovascular PET/MR imaging: An impossible dream? J Nucl Cardiol 2019; 26:1119-1121. [PMID: 29344918 DOI: 10.1007/s12350-017-1163-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 11/30/2017] [Indexed: 10/18/2022]
Affiliation(s)
- Habib Zaidi
- Division of Nuclear Médicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland
- Geneva University Neurocenter, University of Geneva, Geneva, Switzerland
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, Groningen, Netherlands
| | - Rene Nkoulou
- Division of Nuclear Médicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland.
- Division of Cardiology, Geneva University Hospital, Geneva, Switzerland.
| |
Collapse
|
12
|
Kim JY, Park HC, Kim SJ, Chang HS, Choi HJ, Kim YH. Assessment of Left Ventricular Ejection Fraction by Thallium-201 Myocardial SPECT-CT in Patients with Angina Pectoris: Comparison with 2D Echocardiography. Nucl Med Mol Imaging 2019; 53:136-143. [PMID: 31057685 DOI: 10.1007/s13139-019-00575-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 01/04/2019] [Accepted: 01/08/2019] [Indexed: 10/27/2022] Open
Abstract
Purpose Left ventricular (LV) ejection fraction (EF) is an important parameter for assessing cardiac systolic function and predicting prognosis in patients with cardiovascular disease. The aim of this study was to evaluate the feasibility of assessing LVEF by Tl-201 hybrid myocardial single-photon emission computed tomography (SPECT)/CT using two attenuation correction methods in patients with angina pectoris. Methods A total of 339 patients with angina pectoris (62.8 ± 12.9 years, male:female = 206:133) were analyzed. All patients underwent Tl-201 myocardial SPECT/CT and transthoracic two-dimensional (2D) echocardiograph. We compared LVEF assessed by SPECT/CT using two attenuation correction methods: CT-based attenuation correction (CTAC) and non-attenuation correction (non-AC) methods and 2D echocardiography. Results LVEF assessed by either of the two attenuation correction techniques and 2D echocardiography showed moderate correlation in all patients with angina pectoris (r = 0.487 for CTAC and r = 0.473 for non-AC, p < 0.001). Results were similar in the subgroup of patients with perfusion abnormalities on myocardial SPECT/CT images. Overall diagnostic performances were similar for the CTAC and non-AC methods for evaluating normal and decreased LVEF by myocardial SPECT/CT. Conclusion LVEF measured by the CTAC method of Tl-201-gated myocardial SPECT/CT was comparable with the conventional non-AC method in patients with angina pectoris and in the subgroup of patients with perfusion abnormality. Tl-201-gated myocardial hybrid SPECT/CT can be a reliable tool in the assessment of LVEF in clinic.
Collapse
Affiliation(s)
- Ji Young Kim
- 1Department of Nuclear Medicine, College of Medicine, Hanyang University Guri Hospital, Guri, Republic of Korea
| | - Hwan-Cheol Park
- 2Department of Internal Medicine, College of Medicine, Hanyang University Guri Hospital, Guri, Republic of Korea
| | - Soo Jeong Kim
- 3Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul, 03181 Republic of Korea
| | - Hyung Seok Chang
- 3Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul, 03181 Republic of Korea
| | - Hyung Jin Choi
- 4Department of Nuclear Medicine, Hanyang University Seoul Hospital, Seoul, Republic of Korea
| | - Young Hwan Kim
- 3Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul, 03181 Republic of Korea
| |
Collapse
|
13
|
Yamauchi Y, Kanzaki Y, Hayashi M, Arai M, Morita H, Komori T, Hoshiga M, Ishizaka N. Improved diagnosis of the number of stenosed coronary artery vessels by segmentation with scatter and photo-peak window data for attenuation correction in myocardial perfusion SPECT. J Nucl Cardiol 2019; 26:574-581. [PMID: 28905206 DOI: 10.1007/s12350-017-1058-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 08/22/2017] [Indexed: 11/26/2022]
Abstract
BACKGROUND Attenuation correction using segmentation of scatter and photo-peak window data (SSPAC) enables an evaluation of the attenuation map in a patient-specific manner without additional radiation exposure. We compared the accuracy of SSPAC and non-corrected myocardial perfusion scintigraphy methods for diagnosing the number of stenosed coronary artery vessels. METHODS AND RESULTS We retrospectively reviewed the data from 183 consecutive patients who underwent 99mTc-tetrofosmin stress/rest SPECT examination and a coronary angiography within 3 months. The MPS images were reconstructed with and without SSPAC attenuation correction. We examined the accuracy of the quantitative interpretation using summed differential score in the detection of coronary artery disease (CAD). The attenuation maps were successfully determined in 179 of 183 patients (98%). In terms of the vessel-based diagnostic ability, sensitivity, specificity, positive predictive and negative predictive values of the SSPAC and non-correction methods for diagnosing CAD in individual coronary territories were 77%*, 89%, 74%*, and 90%* vs 51%, 87%, 62%, and 82%, respectively (*P < .05). In 35 patients with multi-vessel CAD, those values were 78%*, 81%, 93%, and 55%* vs 49%, 81%, 89%, and 34%, respectively (*P < .05; AUC: 0.82 vs 0.62, P < .05). CONCLUSION SSPAC-corrected SPECT myocardial perfusion images exhibit improved accuracy in the detection of the number of stenosed coronary artery vessels, even in patients with multi-vessel CAD.
Collapse
Affiliation(s)
- Yohei Yamauchi
- Department of Cardiology, Osaka Medical College, 2-7, Daigaku-machi, Takatsuki, 569-8686, Japan
| | - Yumiko Kanzaki
- Department of Cardiology, Osaka Medical College, 2-7, Daigaku-machi, Takatsuki, 569-8686, Japan.
| | - Masuo Hayashi
- Department of Radiology, Osaka Medical College, Takatsuki, Japan
| | - Mami Arai
- Department of Radiology, Osaka Medical College, Takatsuki, Japan
| | - Hideaki Morita
- Department of Cardiology, Osaka Medical College, 2-7, Daigaku-machi, Takatsuki, 569-8686, Japan
| | - Tsuyoshi Komori
- Department of Radiology, Osaka Medical College, Takatsuki, Japan
| | - Masaaki Hoshiga
- Department of Cardiology, Osaka Medical College, 2-7, Daigaku-machi, Takatsuki, 569-8686, Japan
| | - Nobukazu Ishizaka
- Department of Cardiology, Osaka Medical College, 2-7, Daigaku-machi, Takatsuki, 569-8686, Japan
| |
Collapse
|
14
|
Denisova NV, Ansheles AA. A study of false apical defects in myocardial perfusion imaging with SPECT/CT. Biomed Phys Eng Express 2018. [DOI: 10.1088/2057-1976/aae414] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
|
15
|
Abbott BG, Case JA, Dorbala S, Einstein AJ, Galt JR, Pagnanelli R, Bullock-Palmer RP, Soman P, Wells RG. Contemporary Cardiac SPECT Imaging-Innovations and Best Practices: An Information Statement from the American Society of Nuclear Cardiology. J Nucl Cardiol 2018; 25:1847-1860. [PMID: 30143954 DOI: 10.1007/s12350-018-1348-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
This information statement from the American Society of Nuclear Cardiology highlights advances in cardiac SPECT imaging and supports the incorporation of new technology and techniques in laboratories performing nuclear cardiology procedures. The document focuses on the application of the latest imaging protocols and the utilization of newer hardware and software options to perform high quality, state-of-the-art SPECT nuclear cardiology procedures. Recommendations for best practices of cardiac SPECT imaging are discussed, highlighting what imaging laboratories should be doing as the standard of care in 2018 to achieve optimal results (based on the ASNC 2018 SPECT guideline [Dorbala et al., J Nucl Cardiol. 2018. https://doi.org/10.1007/s12350-018-1283-y ]).
Collapse
Affiliation(s)
- Brian G Abbott
- Warren Alpert Medical School, Brown University, Providence, RI, USA.
| | - James A Case
- Cardiovascular Imaging Technologies, Kansas City, MO, USA
| | - Sharmila Dorbala
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Andrew J Einstein
- Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY, USA
| | - James R Galt
- Emory University School of Medicine, Atlanta, GA, USA
| | | | | | - Prem Soman
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - R Glenn Wells
- University of Ottawa Heart Institute, Ottawa, Canada
| |
Collapse
|
16
|
Dorbala S, Ananthasubramaniam K, Armstrong IS, Chareonthaitawee P, DePuey EG, Einstein AJ, Gropler RJ, Holly TA, Mahmarian JJ, Park MA, Polk DM, Russell R, Slomka PJ, Thompson RC, Wells RG. Single Photon Emission Computed Tomography (SPECT) Myocardial Perfusion Imaging Guidelines: Instrumentation, Acquisition, Processing, and Interpretation. J Nucl Cardiol 2018; 25:1784-1846. [PMID: 29802599 DOI: 10.1007/s12350-018-1283-y] [Citation(s) in RCA: 214] [Impact Index Per Article: 35.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Sharmila Dorbala
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | | | | | | | | | - Andrew J Einstein
- Columbia University Medical Center and New York-Presbyterian Hospital, New York, NY, USA
| | | | - Thomas A Holly
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - John J Mahmarian
- Houston Methodist Hospital and Weill Cornell Medical College, Houston, TX, USA
| | | | - Donna M Polk
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | | | | | - R Glenn Wells
- University of Ottawa Heart Institute, Ottawa, Canada
| |
Collapse
|
17
|
Jagsi R, Griffith KA, Moran JM, Ficaro E, Marsh R, Dess RT, Chung E, Liss AL, Hayman JA, Mayo CS, Flaherty K, Corbett J, Pierce L. A Randomized Comparison of Radiation Therapy Techniques in the Management of Node-Positive Breast Cancer: Primary Outcomes Analysis. Int J Radiat Oncol Biol Phys 2018; 101:1149-1158. [PMID: 30012527 DOI: 10.1016/j.ijrobp.2018.04.075] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 04/23/2018] [Accepted: 04/25/2018] [Indexed: 11/19/2022]
Abstract
PURPOSE Although inverse-planned intensity modulated radiotherapy (IMRT) and deep inspiration breath hold (DIBH) may allow for more conformal dose distributions, it is unknown whether using these technologies reduces cardiac or pulmonary toxicity of breast radiotherapy. METHODS AND MATERIALS A randomized controlled trial compared IMRT-DIBH versus standard, free-breathing, forward-planned, three-dimensional conformal radiotherapy in patients with left-sided, node-positive breast cancer in whom the internal mammary nodal region was targeted. Endpoints included dosimetric parameters and changes in pulmonary and cardiac perfusion and function, measured by single photon emission computed tomography (SPECT) scans and pulmonary function testing performed at baseline and 1 year post treatment. RESULTS Of 62 patients randomized, 54 who completed all follow-up procedures were analyzed. Mean doses to the ipsilateral lung, left ventricle, whole heart, and left anterior descending coronary artery were lower with IMRT-DIBH; the percent of left ventricle receiving ≥5 Gy averaged 15.8% with standard radiotherapy and 5.6% with IMRT-DIBH (P < .001). SPECT revealed no differences in perfusion defects in the left anterior descending coronary artery territory, the study's primary endpoint, but did reveal statistically significant differences (P = .02) in left ventricular ejection fraction (LVEF), a secondary endpoint. No differences were found for lung perfusion or function. CONCLUSION The small but statistically significant benefit in preservation of cardiac LVEF observed here should motivate future studies that include LVEF as a potentially meaningful endpoint. Future studies should disaggregate the impact of IMRT from that of DIBH. Clinical practice should recognize the importance of minimizing cardiac dose, even when already low in comparison to historical levels.
Collapse
Affiliation(s)
- Reshma Jagsi
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
| | - Kent A Griffith
- Center for Cancer Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Jean M Moran
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Edward Ficaro
- Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - Robin Marsh
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Robert T Dess
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Eugene Chung
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Adam L Liss
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - James A Hayman
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Charles S Mayo
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Kevin Flaherty
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - James Corbett
- Department of Radiology, University of Michigan, Ann Arbor, Michigan; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan
| | - Lori Pierce
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| |
Collapse
|
18
|
Ljungberg M, Pretorius PH. SPECT/CT: an update on technological developments and clinical applications. Br J Radiol 2018; 91:20160402. [PMID: 27845567 PMCID: PMC5966195 DOI: 10.1259/bjr.20160402] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 09/28/2016] [Accepted: 11/10/2016] [Indexed: 12/20/2022] Open
Abstract
Functional nuclear medicine imaging with single-photon emission CT (SPECT) in combination with anatomical CT has been commercially available since the beginning of this century. The combination of the two modalities has improved both the sensitivity and specificity of many clinical applications and CT in conjunction with SPECT that allows for spatial overlay of the SPECT data on good anatomy images. Introduction of diagnostic CT units as part of the SPECT/CT system has also potentially allowed for a more cost-efficient use of the equipment. Most of the SPECT systems available are based on the well-known Anger camera principle with NaI(Tl) as a scintillation material, parallel-hole collimators and multiple photomultiplier tubes, which, from the centroid of the scintillation light, determine the position of an event. Recently, solid-state detectors using cadmium-zinc-telluride became available and clinical SPECT cameras employing multiple pinhole collimators have been developed and introduced in the market. However, even if new systems become available with better hardware, the SPECT reconstruction will still be affected by photon attenuation and scatter and collimator response. Compensation for these effects is needed even for qualitative studies to avoid artefacts leading to false positives. This review highlights the recent progress for both new SPECT cameras systems as well as for various data-processing and compensation methods.
Collapse
Affiliation(s)
- Michael Ljungberg
- Department of Medical Radiation Physics, Lund University, Lund, Sweden
| | - P Hendrik Pretorius
- Division of Nuclear Medicine, Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA
| |
Collapse
|
19
|
Taqueti VR, Dorbala S, Wolinsky D, Abbott B, Heller GV, Bateman TM, Mieres JH, Phillips LM, Wenger NK, Shaw LJ. Myocardial perfusion imaging in women for the evaluation of stable ischemic heart disease-state-of-the-evidence and clinical recommendations. J Nucl Cardiol 2017; 24:1402-1426. [PMID: 28585034 PMCID: PMC5942593 DOI: 10.1007/s12350-017-0926-8] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 05/15/2017] [Indexed: 12/21/2022]
Abstract
This document from the American Society of Nuclear Cardiology represents an updated consensus statement on the evidence base of stress myocardial perfusion imaging (MPI), emphasizing new developments in single-photon emission tomography (SPECT) and positron emission tomography (PET) in the clinical evaluation of women presenting with symptoms of stable ischemic heart disease (SIHD). The clinical evaluation of symptomatic women is challenging due to their varying clinical presentation, clinical risk factor burden, high degree of comorbidity, and increased risk of major ischemic heart disease events. Evidence is substantial that both SPECT and PET MPI effectively risk stratify women with SIHD. The addition of coronary flow reserve (CFR) with PET improves risk detection, including for women with nonobstructive coronary artery disease and coronary microvascular dysfunction. With the advent of PET with computed tomography (CT), multiparametric imaging approaches may enable integration of MPI and CFR with CT visualization of anatomical atherosclerotic plaque to uniquely identify at-risk women. Radiation dose-reduction strategies, including the use of ultra-low-dose protocols involving stress-only imaging, solid-state detector SPECT, and PET, should be uniformly applied whenever possible to all women undergoing MPI. Appropriate candidate selection for stress MPI and for post-MPI indications for guideline-directed medical therapy and/or invasive coronary angiography are discussed in this statement. The critical need for randomized and comparative trial data in female patients is also emphasized.
Collapse
Affiliation(s)
- Viviany R Taqueti
- Noninvasive Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, ASBI-L1 037-G, 75 Francis Street, Boston, MA, 02115, USA.
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Sharmila Dorbala
- Noninvasive Cardiovascular Imaging Program, Departments of Medicine and Radiology, Brigham and Women's Hospital, ASBI-L1 037-G, 75 Francis Street, Boston, MA, 02115, USA
- Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - David Wolinsky
- Department of Cardiovascular Medicine, Cleveland Clinic Florida, Weston, FL, USA
| | - Brian Abbott
- Warren Alpert Medical School, Brown University, Providence, RI, USA
- Cardiovascular Institute, The Miriam and Newport Hospitals, Providence, RI, USA
| | - Gary V Heller
- Gagnon Cardiovascular Center, Morristown Medical Center, Morristown, NJ, USA
| | - Timothy M Bateman
- Saint Luke's Health System, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA
| | | | - Lawrence M Phillips
- Leon H. Charney Division of Cardiology, New York University Langone Medical Center, New York University School of Medicine, New York, NY, USA
| | - Nanette K Wenger
- Division of Cardiology, Department of Medicine, Emory University Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Leslee J Shaw
- Division of Cardiology, Department of Medicine, Emory University Clinical Cardiovascular Research Institute, Emory University School of Medicine, Atlanta, GA, USA
| |
Collapse
|
20
|
Qureshi WT, Alirhayim Z, Khalid F, Al-Mallah MH. Prognostic value of extracardiac incidental findings on attenuation correction cardiac computed tomography. J Nucl Cardiol 2016; 23:1266-1274. [PMID: 26202878 DOI: 10.1007/s12350-015-0223-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 06/23/2015] [Indexed: 12/22/2022]
Abstract
BACKGROUND Attenuation corrected computed tomography (CTAC) is often performed to improve the specificity of single-photon emission tomography imaging. Extracardiac incidental findings are frequently observed. It is unclear whether these findings have any prognostic value. METHODS Consecutive patients (n = 1139) at a tertiary care center were retrospectively evaluated for incidental findings on CTAC. Clinically significant incidental findings were defined as findings warranting physician follow-up. Information regarding subsequent resource utilization was obtained by chart review. Cox proportional hazard model adjusted for demographic and clinical variables was used to evaluate association of these incidental findings with all-cause and cancer-specific mortality. RESULTS A total of 135 (12%) patients with incidental findings were identified, 83 of whom (68%) were newly diagnosed. Lung nodules were the most common finding, present in 92 (68%) patients. Over a median follow-up of 468 days, incidental findings were not significantly associated with increased risk of all-cause mortality (HR 1.34; 95% CI 0.77-2.33, P = 0.29) but was significantly associated with cancer-specific mortality (HR 3.21; 95% CI 1.26-8.14, P = 0.01). This association remained statistically significant when the analysis was limited to newly diagnosed incidental findings. Among patients with incidental findings, follow-up radiographic studies were conducted in 87%, and invasive procedures performed in 32%. Physician office-based follow-up of these findings occurred in 42% of patients and incidental finding-related hospitalization occurred in 14%. CONCLUSIONS This study shows that incidental findings are common and were associated with all-cause and cancer-specific mortality but only the later remained statistically significant after multivariable adjustment.
Collapse
Affiliation(s)
- Waqas T Qureshi
- Wake Forest University School of Medicine, Winston Salem, NC, 27157, USA
| | - Zaid Alirhayim
- Henry Ford Hospital/Wayne State University, 2799 W. Grand Blvd., Detroit, MI, 48202, USA
- The University of Kansas Medical Center, Kansas City, KS, 66160, USA
| | - Fatima Khalid
- Wake Forest University School of Medicine, Winston Salem, NC, 27157, USA
| | - Mouaz H Al-Mallah
- Henry Ford Hospital/Wayne State University, 2799 W. Grand Blvd., Detroit, MI, 48202, USA.
- Wayne State University, 540 E Canfield St., Detroit, MI, 48201, USA.
- King Abdul-Aziz Cardiac Center, King Abdul-Aziz Medical City (Riyadh), Ministry of National Guard - Health Affairs, MC 1413, P.O. Box 22490, Riyadh, 11426, Kingdom of Saudi Arabia.
| |
Collapse
|
21
|
Case JA. Minimizing the radiation dose of CT attenuation correction while improving image quality: The case for innovation. J Nucl Cardiol 2016; 23:1080-1085. [PMID: 26100578 DOI: 10.1007/s12350-015-0182-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Accepted: 05/07/2015] [Indexed: 10/23/2022]
Affiliation(s)
- James A Case
- Cardiovascular Imaging Technologies, University of Missouri, Columbia, Kansas City, MO, USA.
| |
Collapse
|
22
|
Raza H, Jadoon LK, Mushtaq S, Jabeen A, Maqbool M, Ain MU, Ahmed B, Memon MA. Comparison of non-attenuation corrected and attenuation corrected myocardial perfusion SPECT. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2016. [DOI: 10.1016/j.ejrnm.2016.05.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
|
23
|
Raman SV, Dickerson JA, Mazur W, Wong TC, Schelbert EB, Min JK, Scandling D, Bartone C, Craft JT, Thavendiranathan P, Mazzaferri EL, Arnold JW, Gilkeson R, Simonetti OP. Diagnostic Performance of Treadmill Exercise Cardiac Magnetic Resonance: The Prospective, Multicenter Exercise CMR's Accuracy for Cardiovascular Stress Testing (EXACT) Trial. J Am Heart Assoc 2016; 5:JAHA.116.003811. [PMID: 27543308 PMCID: PMC5015300 DOI: 10.1161/jaha.116.003811] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Background Stress cardiac magnetic resonance (CMR) has typically involved pharmacologic agents. Treadmill CMR has shown utility in single‐center studies but has not undergone multicenter evaluation. Methods and Results Patients referred for treadmill stress nuclear imaging (SPECT) were prospectively enrolled across 4 centers. After rest 99mTc SPECT, patients underwent resting cine CMR. In‐room stress was then performed using an MR‐compatible treadmill with continuous 12‐lead electrocardiogram monitoring. At peak stress, 99mTc was injected, and patients rapidly returned to the MR scanner isocenter for real‐time, free‐breathing stress cine and perfusion imaging. After recovery, cine and rest perfusion followed by late gadolinium enhancement acquisitions concluded CMR imaging. Stress SPECT was then acquired in adjacent nuclear laboratories. A subset of patients not referred for invasive coronary angiography within 2 weeks of stress underwent coronary computed tomography angiography. Angiographic data available in 94 patients showed sensitivity of 79%, specificity of 99% for exercise CMR with positive predictive value of 92% and negative predictive value of 96%. Agreement between treadmill stress CMR and angiography was strong (κ=0.82), and moderate between SPECT and angiography (κ=0.46) and CMR versus SPECT (κ=0.48). Conclusions The multicenter EXACT trial indicates excellent diagnostic value of treadmill stress CMR in typical patients referred for exercise SPECT.
Collapse
Affiliation(s)
- Subha V Raman
- Ohio State University Davis Heart and Lung Research Institute, Columbus, OH OSU Division of Cardiovascular Medicine, Columbus, OH OSU Department of Radiology, Columbus, OH
| | | | - Wojciech Mazur
- The Christ Hospital Heart and Vascular Center, Cincinnati, OH
| | | | | | - James K Min
- Department of Radiology, Weill-Cornell Medical College, Dalio Institute of Cardiovascular Imaging, New York, NY
| | - Debbie Scandling
- Ohio State University Davis Heart and Lung Research Institute, Columbus, OH
| | - Cheryl Bartone
- The Christ Hospital Heart and Vascular Center, Cincinnati, OH
| | - Jason T Craft
- Ohio State University Davis Heart and Lung Research Institute, Columbus, OH
| | | | | | | | - Robert Gilkeson
- Department of Radiology, Case Western Reserve University, Cleveland, OH
| | - Orlando P Simonetti
- Ohio State University Davis Heart and Lung Research Institute, Columbus, OH OSU Division of Cardiovascular Medicine, Columbus, OH OSU Department of Radiology, Columbus, OH
| |
Collapse
|
24
|
Huang JY, Huang CK, Yen RF, Wu HY, Tu YK, Cheng MF, Lu CC, Tzen KY, Chien KL, Wu YW. Diagnostic Performance of Attenuation-Corrected Myocardial Perfusion Imaging for Coronary Artery Disease: A Systematic Review and Meta-Analysis. J Nucl Med 2016; 57:1893-1898. [DOI: 10.2967/jnumed.115.171462] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Accepted: 06/27/2016] [Indexed: 01/07/2023] Open
|
25
|
Abstract
PURPOSE OF REVIEW Myocardial perfusion imaging (MPI) with SPECT is performed clinically worldwide to detect and monitor coronary artery disease (CAD). MPI allows an objective quantification of myocardial perfusion at stress and rest. This established technique relies on normal databases to compare patient scans against reference normal limits. In this review, we aim to introduce the process of MPI quantification with normal databases and describe the associated perfusion quantitative measures that are used. RECENT FINDINGS New equipment and new software reconstruction algorithms have been introduced which require the development of new normal limits. The appearance and regional count variations of normal MPI scan may differ between these new scanners and standard Anger cameras. Therefore, these new systems may require the determination of new normal limits to achieve optimal accuracy in relative myocardial perfusion quantification. Accurate diagnostic and prognostic results rivaling those obtained by expert readers can be obtained by this widely used technique. SUMMARY Throughout this review, we emphasize the importance of the different normal databases and the need for specific databases relative to distinct imaging procedures. use of appropriate normal limits allows optimal quantification of MPI by taking into account subtle image differences due to the hardware and software used, and the population studied.
Collapse
|
26
|
Arbab-Zadeh A, Di Carli MF, Cerci R, George RT, Chen MY, Dewey M, Niinuma H, Vavere AL, Betoko A, Plotkin M, Cox C, Clouse ME, Arai AE, Rochitte CE, Lima JAC, Brinker J, Miller JM. Accuracy of Computed Tomographic Angiography and Single-Photon Emission Computed Tomography-Acquired Myocardial Perfusion Imaging for the Diagnosis of Coronary Artery Disease. Circ Cardiovasc Imaging 2016; 8:e003533. [PMID: 26467105 DOI: 10.1161/circimaging.115.003533] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Establishing the diagnosis of coronary artery disease (CAD) in symptomatic patients allows appropriately allocating preventative measures. Single-photon emission computed tomography (CT)-acquired myocardial perfusion imaging (SPECT-MPI) is frequently used for the evaluation of CAD, but coronary CT angiography (CTA) has emerged as a valid alternative. METHODS AND RESULTS We compared the accuracy of SPECT-MPI and CTA for the diagnosis of CAD in 391 symptomatic patients who were prospectively enrolled in a multicenter study after clinical referral for cardiac catheterization. The area under the receiver operating characteristic curve was used to evaluate the diagnostic accuracy of CTA and SPECT-MPI for identifying patients with CAD defined as the presence of ≥1 coronary artery with ≥50% lumen stenosis by quantitative coronary angiography. Sensitivity to identify patients with CAD was greater for CTA than SPECT-MPI (0.92 versus 0.62, respectively; P<0.001), resulting in greater overall accuracy (area under the receiver operating characteristic curve, 0.91 [95% confidence interval, 0.88-0.94] versus 0.69 [0.64-0.74]; P<0.001). Results were similar in patients without previous history of CAD (area under the receiver operating characteristic curve, 0.92 [0.89-0.96] versus 0.67 [0.61-0.73]; P<0.001) and also for the secondary end points of ≥70% stenosis and multivessel disease, as well as subgroups, except for patients with a calcium score of ≥400 and those with high-risk anatomy in whom the overall accuracy was similar because CTA's superior sensitivity was offset by lower specificity in these settings. Radiation doses were 3.9 mSv for CTA and 9.8 for SPECT-MPI (P<0.001). CONCLUSIONS CTA is more accurate than SPECT-MPI for the diagnosis of CAD as defined by conventional angiography and may be underused for this purpose in symptomatic patients. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT00934037.
Collapse
Affiliation(s)
- Armin Arbab-Zadeh
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Marcelo F Di Carli
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.).
| | - Rodrigo Cerci
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Richard T George
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Marcus Y Chen
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Marc Dewey
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Hiroyuki Niinuma
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Andrea L Vavere
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Aisha Betoko
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Michail Plotkin
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Christopher Cox
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Melvin E Clouse
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Andrew E Arai
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Carlos E Rochitte
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Joao A C Lima
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Jeffrey Brinker
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| | - Julie M Miller
- From the Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD (A.A.-Z., R.C., R.T.G., A.L.V., J.A.C.L., J.B., J.M.M.); Department of Medicine, Division of Cardiology, Brigham and Women's Hospital, Harvard University, Boston, MA (M.D.C.); Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD (M.Y.C., A.E.A.); Department of Radiology, Charité, Berlin, Germany (M.D., M.P.); Department of Medicine, Division of Cardiology, St. Luke's Hospital, Tokyo, Japan (H.N.); Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (A.B., C.C.); Department of Radiology, Beth Israel Deaconess MC, Harvard University, Boston, MA (M.E.C.); and Department of Medicine, Division of Cardiology at the Heart Institute (InCor), University of Sao Paulo, Sao Paulo, Brazil (C.E.R.)
| |
Collapse
|
27
|
Caobelli F, Akin M, Thackeray JT, Brunkhorst T, Widder J, Berding G, Burchert I, Bauersachs J, Bengel FM. Diagnostic accuracy of cadmium-zinc-telluride-based myocardial perfusion SPECT: impact of attenuation correction using a co-registered external computed tomography. Eur Heart J Cardiovasc Imaging 2015; 17:1036-43. [PMID: 26628617 DOI: 10.1093/ehjci/jev312] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Accepted: 10/29/2015] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Computed tomography (CT)-based attenuation correction (AC) improves the accuracy of standard myocardial perfusion SPECT. Most dedicated cadmium-zinc-telluride (CZT) SPECT cameras are not equipped with an integrated CT component. We aimed to determine the impact of AC on diagnostic performance of CZT SPECT using co-registration with an external low-dose CT. METHODS Sixty patients underwent CZT SPECT (GE Discovery 530c) with (99m)Tc-sestamibi at rest and following regadenoson stress. Using commercial software, SPECT images were co-registered with a low-dose CT acquired on a separate system (GE Discovery 670NMCT). Attenuation corrected and non-corrected (NC) images were reconstructed using an iterative algorithm. Accuracy was measured in 44 patients who had undergone invasive angiography within 6 months. Normalcy was compared in the remaining 16 patients who had a low pre-test likelihood (<5%) of coronary artery disease (CAD). RESULTS Summed stress and rest scores were significantly lower in AC images (9 ± 8 vs. 13 ± 9 and 6 ± 7 vs. 10 ± 9, P = 0.01), while summed difference score did not differ. According to angiography, 38 patients had significant CAD in 71 vascular territories. Attenuation correction improved accuracy globally (P = 0.03) and in RCA territory (P = 0.008). Specificity improved both globally (100 vs. 40%, P < 0.05) and in each individual territory (LAD: 63 vs. 36%, LCX: 70 vs. 33%, RCA: 81 vs. 19%, P < 0.01). Normalcy was 100% for AC and 62.5% for NC images (P < 0.05). CONCLUSION Attenuation correction with a co-registered external CT is feasible using CZT cameras and improves diagnostic accuracy mostly by improving specificity over uncorrected images.
Collapse
Affiliation(s)
- Federico Caobelli
- Department of Nuclear Medicine, Hannover Medical School, Carl Neuberg Strasse, 1, 30625 Hannover, Germany
| | - Muharrem Akin
- Department of Clinical Cardiology, Hannover Medical School, Hannover, Germany
| | - James T Thackeray
- Department of Nuclear Medicine, Hannover Medical School, Carl Neuberg Strasse, 1, 30625 Hannover, Germany
| | - Thomas Brunkhorst
- Department of Nuclear Medicine, Hannover Medical School, Carl Neuberg Strasse, 1, 30625 Hannover, Germany
| | - Julian Widder
- Department of Clinical Cardiology, Hannover Medical School, Hannover, Germany
| | - Georg Berding
- Department of Nuclear Medicine, Hannover Medical School, Carl Neuberg Strasse, 1, 30625 Hannover, Germany
| | - Ina Burchert
- Department of Nuclear Medicine, Hannover Medical School, Carl Neuberg Strasse, 1, 30625 Hannover, Germany
| | - Johann Bauersachs
- Department of Clinical Cardiology, Hannover Medical School, Hannover, Germany
| | - Frank M Bengel
- Department of Nuclear Medicine, Hannover Medical School, Carl Neuberg Strasse, 1, 30625 Hannover, Germany
| |
Collapse
|
28
|
Abstract
Quantitative analysis of SPECT and PET has become a major part of nuclear cardiology practice. Current software tools can automatically segment the left ventricle, quantify function, establish myocardial perfusion maps, and estimate global and local measures of stress/rest perfusion, all with minimal user input. State-of-the-art automated techniques have been shown to offer high diagnostic accuracy for detecting coronary artery disease, as well as predict prognostic outcomes. This article briefly reviews these techniques, highlights several challenges, and discusses the latest developments.
Collapse
Affiliation(s)
- Manish Motwani
- Departments of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA
| | - Daniel S Berman
- Departments of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA; David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Guido Germano
- Departments of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA; David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Piotr Slomka
- Departments of Imaging and Medicine, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA 90048, USA; David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
| |
Collapse
|
29
|
Is Attenuation Correction for Myocardial Perfusion Imaging Underutilized? CURRENT CARDIOVASCULAR IMAGING REPORTS 2015. [DOI: 10.1007/s12410-015-9346-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
30
|
Cardiac CT vs. Stress Testing in Patients with Suspected Coronary Artery Disease: Review and Expert Recommendations. CURRENT CARDIOVASCULAR IMAGING REPORTS 2015; 8. [PMID: 26500716 DOI: 10.1007/s12410-015-9344-y] [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] [Indexed: 12/23/2022]
Abstract
Diagnosis and management of coronary artery disease represent a major challenge to our health care systems affecting millions of patients each year. Until recently, the diagnosis of coronary artery disease could be conclusively determined only by invasive coronary angiography. To avoid risks from cardiac catheterization, many healthcare systems relied on stress testing as gatekeeper for coronary angiography. Advancements in cardiac computed tomography angiography technology now allows to noninvasively visualize coronary artery disease, challenging the role of stress testing as the default noninvasive imaging tool for evaluating patients with chest pain. In this review, we summarize current data on the clinical utility of cardiac computed tomography and stress testing in stable patients with suspected coronary artery disease.
Collapse
|
31
|
Petretta M, Nappi C, Cuocolo A. Quantification of myocardial perfusion in clinical trials. J Nucl Cardiol 2015; 22:262-5. [PMID: 25287736 DOI: 10.1007/s12350-014-0003-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Mario Petretta
- Department of Translational Medical Sciences, University Federico II, Naples, Italy
| | | | | |
Collapse
|
32
|
Esteves FP, Travin MI. The Role of Nuclear Cardiology in the Diagnosis and Risk Stratification of Women With Ischemic Heart Disease. Semin Nucl Med 2014; 44:423-38. [DOI: 10.1053/j.semnuclmed.2014.06.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
|
33
|
Savvopoulos CA, Spyridonidis T, Papandrianos N, Vassilakos PJ, Alexopoulos D, Apostolopoulos DJ. CT-based attenuation correction in Tl-201 myocardial perfusion scintigraphy is less effective than non-corrected SPECT for risk stratification. J Nucl Cardiol 2014; 21:519-31. [PMID: 24532033 DOI: 10.1007/s12350-014-9867-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2013] [Accepted: 01/25/2014] [Indexed: 10/25/2022]
Abstract
BACKGROUND Previous studies advocate the use of attenuation correction in myocardial perfusion scintigraphy (MPS) for patient risk stratification. METHODS Six-hundred and thirty-seven unselected patients underwent Tl-201 MPS by a hybrid SPECT/CT system. Attenuation-corrected (AC) and non-corrected (NAC) images were interpreted blindly and summed stress scores (SSS) were calculated. Study endpoints were all-cause mortality and the composites of death/non-fatal acute myocardial infarction (AMI) and death/AMI/late revascularization. RESULTS During a follow-up of 42.3 ± 12.8 months 24 deaths, 13 AMIs and 28 revascularizations were recorded. SSS groups formed according to event rate distribution across SSS values were: 0-4, 5-13, >13 for NAC and 0-2, 3-9, >9 for AC. Kaplan-Meier functions were statistically significant between NAC SSS groups for all study endpoints. AC discriminated only between SSS 0-2 and >9 for death/AMI and between 0-2 and 3-9 for death/AMI/revascularization. In the univariate Cox regression abnormal NAC (SSS > 4) was accompanied with much higher hazards ratios than abnormal AC (SSS > 2). In the multivariate model abnormal AC yielded no significance for either endpoint whereas abnormal NAC proved independent from other covariates for the composite endpoints. CONCLUSION Our results challenge the effectiveness of CT-based AC for risk stratification of patients referred for MPS.
Collapse
Affiliation(s)
- Christos A Savvopoulos
- Department of Nuclear Medicine, University Hospital of Patras, University of Patras, Medical School, Rion, 26500, Patras, Greece
| | | | | | | | | | | |
Collapse
|
34
|
Ben-Haim S, Almukhailed O, Neill J, Slomka P, Allie R, Shiti D, Berman DS, Bomanji J. Clinical value of supine and upright myocardial perfusion imaging in obese patients using the D-SPECT camera. J Nucl Cardiol 2014; 21:478-85. [PMID: 24477404 DOI: 10.1007/s12350-014-9853-0] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2013] [Accepted: 12/22/2013] [Indexed: 11/29/2022]
Abstract
PURPOSE We have assessed whether additional upright imaging increases the confidence of interpretation of stress only supine myocardial perfusion imaging (MPI) in obese patients. METHODS AND RESULTS Tc-MIBI stress MPI of 101 consecutive patients (M = 49, 62 ± 12 years) with BMI ≥30 scanned on the D-SPECT cardiac camera were assessed. Images were interpreted as diagnostic or equivocal and the need for a rest study was recorded. Stress supine MPI was interpreted first, then gated and finally upright data were added. Defects on supine but not on upright were defined as artefacts and defects seen on both as abnormal. The total perfusion deficit (TPD) was also quantified. There were 27 normal, 22 abnormal, and 52 equivocal supine scans. The median EF was 52%, unaffecting the need for rest imaging. Upright imaging reclassified 32/52 (62%) equivocal studies as normal and 6/52 (11%) as abnormal (P < 0.001). Rest scan was deemed needed in 74/101 patients on supine vs 42/101 on supine/upright (P < 0.001). Supine TPD was normal in 53 and supine/upright TPD was normal in 70 patients (P < 0.001). CONCLUSION Supine stress MPI is inadequate in obese patients. The addition of upright imaging significantly increases the ability to interpret scans as diagnostic and may reduce considerably the need for rest imaging.
Collapse
Affiliation(s)
- Simona Ben-Haim
- Institute of Nuclear Medicine, University College London Hospitals, NHS Trust, London, UK,
| | | | | | | | | | | | | | | |
Collapse
|
35
|
Risk Stratification with Cardiac Rubidium-82 Positron Emission Tomography. CURRENT CARDIOVASCULAR IMAGING REPORTS 2014. [DOI: 10.1007/s12410-014-9266-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
36
|
Esteves FP, Galt JR, Folks RD, Verdes L, Garcia EV. Diagnostic performance of low-dose rest/stress Tc-99m tetrofosmin myocardial perfusion SPECT using the 530c CZT camera: quantitative vs visual analysis. J Nucl Cardiol 2014; 21:158-65. [PMID: 24287713 DOI: 10.1007/s12350-013-9827-7] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2013] [Accepted: 11/07/2013] [Indexed: 10/26/2022]
Abstract
BACKGROUND We set out to develop normal databases and prospectively validate abnormality criteria for a low-dose Tc-99m tetrofosmin myocardial perfusion SPECT protocol using the 530c CZT camera. METHODS All patients received 6 mCi rest/20 mCi stress doses of Tc-99m tetrofosmin. Rest and stress images were obtained over 7-9 and 5-7 minutes according to the chest size. Low-dose CT of the chest was obtained on a standalone CT scanner. Forty patients with very low likelihood (LLK) of coronary artery disease (CAD) were used to define the normal count distributions. The abnormality criteria were prospectively validated in 55 patients who had coronary angiography and in 40 patients with LLK of CAD. RESULTS The results for quantitative non-attenuation-corrected (AC) and AC analysis and visual analysis were as follows: sensitivity of 79%, 85%, and 92% (P = NS) and specificity of 44%, 75%, and 56% (P = NS), respectively. The normalcy rates for quantitative non-AC and AC analyses and visual analysis were 95%, 98%, and 98% (P = NS). CONCLUSIONS We have developed non-AC and AC normal databases for low-dose rest/stress Tc-99m tetrofosmin myocardial perfusion SPECT protocol using the 530c CZT camera. The per-patient diagnostic performance of quantitative analyses is not significantly different from visual analysis by an experienced reader.
Collapse
Affiliation(s)
- Fabio P Esteves
- Department of Radiology, Emory University School of Medicine, 1364 Clifton Road, NE, Atlanta, GA, 30322, USA,
| | | | | | | | | |
Collapse
|
37
|
Yamauchi Y, Kanzaki Y, Otsuka K, Hayashi M, Okada M, Nogi S, Morita H, Komori T, Ishizaka N. Novel attenuation correction of SPECT images using scatter photopeak window data for the detection of coronary artery disease. J Nucl Cardiol 2014; 21:109-17. [PMID: 24185582 DOI: 10.1007/s12350-013-9814-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2013] [Accepted: 10/16/2013] [Indexed: 10/26/2022]
Abstract
BACKGROUND Attenuation correction using segmentation with scatter and photopeak window data (SSPAC) may enable evaluation of the attenuation map in a patient-specific manner without the need for additional radiation exposure and more acquisition time. We examined the feasibility of SSPAC and compared the sensitivity, specificity, and accuracy of this new correction method with that of conventional non-corrected myocardial perfusion single-photon emission computed tomography (SPECT) among patients with suspected or diagnosed coronary artery disease. METHODS AND RESULTS One hundred sixty-one patients who underwent both (99m)Tc-tetrofosmin stress/rest SPECT examination and invasive coronary angiography were enrolled in the study. Data from the SSPAC-corrected and non-corrected methods were analyzed quantitatively using summed stress scores. Attenuation maps were obtained successfully for 150 (93%) of the patients. The SSPAC-corrected and non-corrected methods accurately predicted coronary artery disease defined as >50% luminal stenosis verified by coronary artery angiography and/or prior myocardial infarction, for 91% and 77% patients, respectively (P < .05). For diagnosis of coronary artery disease, SSPAC improved sensitivity in the left anterior descending artery territory and specificity in the right coronary artery territory. CONCLUSIONS Attenuation correction with SSPAC may be a feasible method of correction for myocardial perfusion SPECT and in some cases may provide better accuracy for diagnosing coronary artery disease.
Collapse
Affiliation(s)
- Yohei Yamauchi
- Department of Cardiology, Osaka Medical College, 2-7, Daigaku-machi, Takatsuki, 569-8686, Japan
| | | | | | | | | | | | | | | | | |
Collapse
|
38
|
Ardestani A, Ahlberg AW, Katten DM, Santilli K, Polk DM, Bateman TM, Heller GV. Risk stratification using line source attenuation correction with rest/stress Tc-99m sestamibi SPECT myocardial perfusion imaging. J Nucl Cardiol 2014; 21:118-26. [PMID: 24259152 DOI: 10.1007/s12350-013-9816-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2013] [Accepted: 10/24/2013] [Indexed: 10/26/2022]
Abstract
BACKGROUND Although line source attenuation correction (AC) in SPECT MPI studies improves diagnostic accuracy, its prognostic value is less understood. METHODS Consecutive patients (n = 6,513) who underwent rest/stress AC ECG-gated SPECT MPI were followed for cardiac death or non-fatal myocardial infarction (MI). A 17-segment model and AC summed stress score (SSS) were used to classify images. RESULTS Of the 6,513 patients, cardiac death or non-fatal MI occurred in 267 (4.1%), over 2.0 ± 1.4 years. The AC-SSS in patients with a cardiac event (5.6 ± 7.8) was significantly higher than in those without (1.9 ± 4.6, P < .001). The annualized cardiac event rate in patients with an AC-SSS 1-3 (3.6%) was significantly higher than in those with an AC-SSS = 0 (1.1%, P < .001) but similar to that in those with an AC-SSS 4-8 (2.9%, P = .4). Accordingly, patients were classified to AC-SSS = 0, 1-8, and >8 with annualized cardiac event rates of 1.1%, 3.2%, and 8.5%, respectively (P < .0001). In multivariate analysis, an AC-SSS 1-8 and >8 emerged as independent predictors of cardiac events (P < .02 and P < .0001, respectively). CONCLUSION Rest/stress ECG-gated SPECT MPI with line source AC provides highly effective and incremental risk stratification for future cardiac events.
Collapse
Affiliation(s)
- Afrooz Ardestani
- Division of Cardiology, University of Connecticut School of Medicine, 263 Farmington Ave, Farmington, CT, 06034, USA,
| | | | | | | | | | | | | |
Collapse
|
39
|
Case JA, Bateman TM. Taking the perfect nuclear image: quality control, acquisition, and processing techniques for cardiac SPECT, PET, and hybrid imaging. J Nucl Cardiol 2013; 20:891-907. [PMID: 23868070 DOI: 10.1007/s12350-013-9760-9] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Nuclear Cardiology for the past 40 years has distinguished itself in its ability to non-invasively assess regional myocardial blood flow and identify obstructive coronary disease. This has led to advances in managing the diagnosis, risk stratification, and prognostic assessment of cardiac patients. These advances have all been predicated on the collection of high quality nuclear image data. National and international professional societies have established guidelines for nuclear laboratories to maintain high quality nuclear cardiology services. In addition, laboratory accreditation has further advanced the goal of the establishing high quality standards for the provision of nuclear cardiology services. This article summarizes the principles of nuclear cardiology single photon emission computed tomography (SPECT) and positron emission tomography (PET) imaging and techniques for maintaining quality: from the calibration of imaging equipment to post processing techniques. It also will explore the quality considerations of newer technologies such as cadmium zinc telleride (CZT)-based SPECT systems and absolute blood flow measurement techniques using PET.
Collapse
Affiliation(s)
- James A Case
- Saint-Luke's Mid America Heart Institute, Kansas City, MO, USA,
| | | |
Collapse
|
40
|
Arsanjani R, Xu Y, Hayes SW, Fish M, Lemley M, Gerlach J, Dorbala S, Berman DS, Germano G, Slomka P. Comparison of fully automated computer analysis and visual scoring for detection of coronary artery disease from myocardial perfusion SPECT in a large population. J Nucl Med 2013; 54:221-8. [PMID: 23315665 DOI: 10.2967/jnumed.112.108969] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
UNLABELLED We compared the performance of fully automated quantification of attenuation-corrected (AC) and noncorrected (NC) myocardial perfusion SPECT (MPS) with the corresponding performance of experienced readers for detection of coronary artery disease (CAD). METHODS Rest-stress (99m)Tc-sestamibi MPS studies (n = 995; 650 consecutive cases with coronary angiography and 345 with likelihood of CAD < 5%) were obtained by MPS with AC. The total perfusion deficit (TPD) for AC and NC data was compared with the visual summed stress and rest scores of 2 experienced readers. Visual reads were performed in 4 consecutive steps with the following information progressively revealed: NC data, AC + NC data, computer results, and all clinical information. RESULTS The diagnostic accuracy of TPD for detection of CAD was similar to both readers (NC: 82% vs. 84%; AC: 86% vs. 85%-87%; P = not significant) with the exception of the second reader when clinical information was used (89%, P < 0.05). The receiver-operating-characteristic area under the curve (ROC AUC) for TPD was significantly better than visual reads for NC (0.91 vs. 0.87 and 0.89, P < 0.01) and AC (0.92 vs. 0.90, P < 0.01), and it was comparable to visual reads incorporating all clinical information. The per-vessel accuracy of TPD was superior to one reader for NC (81% vs. 77%, P < 0.05) and AC (83% vs. 78%, P < 0.05) and equivalent to the second reader (NC, 79%; and AC, 81%). The per-vessel ROC AUC for NC (0.83) and AC (0.84) for TPD was better than that for the first reader (0.78-0.80, P < 0.01) and comparable to that of the second reader (0.82-0.84, P = not significant) for all steps. CONCLUSION For detection of ≥70% stenoses based on angiographic criteria, a fully automated computer analysis of NC and AC MPS data is equivalent for per-patient and can be superior for per-vessel analysis, when compared with expert analysis.
Collapse
Affiliation(s)
- Reza Arsanjani
- Departments of Imaging and Medicine and Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | | | | | | | | | | | | | | | | | | |
Collapse
|
41
|
Chung E, Corbett JR, Moran JM, Griffith KA, Marsh RB, Feng M, Jagsi R, Kessler ML, Ficaro EC, Pierce LJ. Is there a dose-response relationship for heart disease with low-dose radiation therapy? Int J Radiat Oncol Biol Phys 2012; 85:959-64. [PMID: 23021709 DOI: 10.1016/j.ijrobp.2012.08.002] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2012] [Revised: 07/26/2012] [Accepted: 08/01/2012] [Indexed: 12/25/2022]
Abstract
PURPOSE To quantify cardiac radiation therapy (RT) exposure using sensitive measures of cardiac dysfunction; and to correlate dysfunction with heart doses, in the setting of adjuvant RT for left-sided breast cancer. METHODS AND MATERIALS On a randomized trial, 32 women with node-positive left-sided breast cancer underwent pre-RT stress single photon emission computed tomography (SPECT-CT) myocardial perfusion scans. Patients received RT to the breast/chest wall and regional lymph nodes to doses of 50 to 52.2 Gy. Repeat SPECT-CT scans were performed 1 year after RT. Perfusion defects (PD), summed stress defects scores (SSS), and ejection fractions (EF) were evaluated. Doses to the heart and coronary arteries were quantified. RESULTS The mean difference in pre- and post-RT PD was -0.38% ± 3.20% (P=.68), with no clinically significant defects. To assess for subclinical effects, PD were also examined using a 1.5-SD below the normal mean threshold, with a mean difference of 2.53% ± 12.57% (P=.38). The mean differences in SSS and EF before and after RT were 0.78% ± 2.50% (P=.08) and 1.75% ± 7.29% (P=.39), respectively. The average heart Dmean and D95 were 2.82 Gy (range, 1.11-6.06 Gy) and 0.90 Gy (range, 0.13-2.17 Gy), respectively. The average Dmean and D95 to the left anterior descending artery were 7.22 Gy (range, 2.58-18.05 Gy) and 3.22 Gy (range, 1.23-6.86 Gy), respectively. No correlations were found between cardiac doses and changes in PD, SSS, and EF. CONCLUSIONS Using sensitive measures of cardiac function, no clinically significant defects were found after RT, with the average heart Dmean <5 Gy. Although a dose response may exist for measures of cardiac dysfunction at higher doses, no correlation was found in the present study for low doses delivered to cardiac structures and perfusion, SSS, or EF.
Collapse
Affiliation(s)
- Eugene Chung
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109-5010, USA
| | | | | | | | | | | | | | | | | | | |
Collapse
|
42
|
Zafrir N, Shafir G, Kovalski G, Mats I, Bouhnik JP, Battler A, Solodky A. Yield of a novel ultra-low-dose computed tomography device mounted on a dedicated cardiac SPECT system in improving the accuracy of myocardial perfusion imaging and the detection of chest abnormalities. J Nucl Cardiol 2012; 19:303-10. [PMID: 22203447 DOI: 10.1007/s12350-011-9498-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2011] [Accepted: 12/02/2011] [Indexed: 10/14/2022]
Abstract
BACKGROUND To examine the yield of an ultra-low-dose computed tomography (CT) transmission module for attenuation-correction (AC) on a dedicated cardiac camera in evaluation of SPECT-myocardial perfusion imaging (MPI) in the diagnosis of CAD and for additional chest abnormalities. METHODS The study group included 150 patients with known or suspected CAD referred for technetium sestamibi SPECT MPI. CT transmission scanning (effective radiation 0.17 mSv) was performed after each gated SPECT scan. AC and non-corrected (NC) SPECT scans were evaluated on a 5-point scale using a 17-segment model, and the sum stress score (SSS) and sum rest score (SRS) were calculated for each condition. Overall image quality, sensitivity and normalcy rate (51 patients) and processing of 28 CT slices were screened for chest findings. RESULTS CT-based AC significantly improved image quality (P = .01). Mean SSS was 3.8 ± 5.8 with AC and 6.1 ± 7.1 with NC (P < .001); the respective SRS values were 2.6 ± 6.3 and 3.9 ± 7.7 (P < .001). The sensitivity of detecting ≥70% stenosis was 71% and 86% (P = NS) and the normalcy rate was 30% and 89% (P < .0001) in NC and AC SPECT MPI, respectively. Chest CT: lung abnormalities in 31%, aortic calcifications in 27%, and hiatus hernia in 5%. CONCLUSIONS Ultra-low-dose CT for AC of SPECT-MPI improves image quality, diagnostic accuracy and suggests detection of chest findings.
Collapse
Affiliation(s)
- Nili Zafrir
- Department of Cardiology, Rabin Medical Center, Beilinson Campus, Petach Tikva, Israel.
| | | | | | | | | | | | | |
Collapse
|
43
|
Abstract
Tools for automated quantification of myocardial perfusion are available to nuclear cardiology practitioners and researchers. These methods have demonstrated superior reproducibility with comparable diagnostic and prognostic performance, when compared with segmental visual scoring by expert observers. A particularly useful application of the quantitative analysis can be in the detection of subtle changes or in precise determination of ischemia. Some challenges remain in the routine application of perfusion quantification. Multiple quantitative parameters may need to be reconciled by the expert reader for the final diagnosis. Computer analysis may be sensitive to imaging artifacts, resulting in false positive scans. Perfusion quantification may require site specific normal limits and some degree of manual interaction. New software improvements have been proposed to address some of these challenges.
Collapse
Affiliation(s)
- Piotr Slomka
- Departments of Imaging and Medicine, and Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
| | | | | | | |
Collapse
|
44
|
Niu X, Yang Y, Jin M, Wernick MN, King MA. Effects of motion, attenuation, and scatter corrections on gated cardiac SPECT reconstruction. Med Phys 2012; 38:6571-84. [PMID: 22149839 DOI: 10.1118/1.3660328] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE In gated cardiac single photon emission computed tomography (SPECT), image reconstruction is often hampered by various degrading factors including depth-dependent spatial blurring, attenuation, scatter, motion blurring, and low data counts. Consequently, there has been significant development in image reconstruction methods for improving the quality of reconstructed images. The goal of this work is to investigate how these degrading factors will impact the reconstructed myocardium when different reconstruction methods are used. METHODS The authors conduct a comparative study of the effects of these degrading factors on the accuracy of myocardium by several reconstruction algorithms, including (1) a clinical spatiotemporal processing method, (2) maximum likelihood (ML) estimation, (3) 3D maximum a posteriori (MAP) estimation, (4) 3D MAP with posttemporal filtering, and (5) motion-compensated spatiotemporal (4D) reconstruction. To quantify the reconstruction results, the authors use the following measures on different aspects of the myocardium: (1) overall error level in the myocardium, (2) regional accuracy of the left ventricle (LV) wall, (3) uniformity of the LV, (4) accuracy of regional time activity curves by normalized cross-correlation coefficient, and (5) perfusion defect detectability. The authors also assess the effectiveness of degrading corrections in reconstruction by considering an upper bound for each reconstruction method, which represents what would be achieved by each method if the acquired data were free from attenuation and scatter degradations. In the experiments the authors use Monte Carlo simulated cardiac gated SPECT imaging based on the 4D NURBS-based cardiac-torso (NCAT) phantom with different patient geometry and lesion settings, in which the simulated ground truth is known for the purpose of quantitative evaluation. RESULTS The results demonstrate that use of temporal processing in reconstruction (Methods 1, 4, and 5 above) can greatly improve the reconstructed myocardium in terms of both error level and perfusion defect detection. In low-count gated studies, it can have even greater impact than other degrading factors. Both attenuation and scatter corrections can lead to reduced error levels in the myocardium in all methods; in particular, with 4D the bias can be reduced by as much as four-fold compared to no correction. There is a slight increase in noise level observed with scatter correction. A significant improvement in heart wall appearance is demonstrated in reconstruction results from three sets of clinical acquisitions as correction for degradations is combined with refinement of temporal filtering. CONCLUSIONS Correction for degrading factors such as resolution, attenuation, scatter, and motion blur can all lead to improved image quality in cardiac gated SPECT reconstruction. However, their effectiveness could also vary with the reconstruction algorithms used. Both attenuation and scatter corrections can effectively reduce the bias level of the reconstructed LV wall, though scatter correction is also observed to increase the variance level. Use of temporal processing in reconstruction can have greater impact on the accuracy of the myocardium than correction of other degrading factors. Overall, use of degrading corrections in 4D reconstruction is shown to be most effective for improving both reconstruction accuracy of the myocardium and detectability of perfusion defects in gated images.
Collapse
Affiliation(s)
- Xiaofeng Niu
- Medical Imaging Research Center and Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, Illinois 60616, USA
| | | | | | | | | |
Collapse
|
45
|
Keereman V, Fierens Y, Vanhove C, Lahoutte T, Vandenberghe S. Magnetic Resonace–Based Attenuation Correction for Micro–Single-Photon Emission Computed Tomography. Mol Imaging 2012. [DOI: 10.2310/7290.2011.00036] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Attenuation correction is necessary for quantification in micro–single-photon emission computed tomography (micro-SPECT). In general, this is done based on micro–computed tomographic (micro-CT) images. Derivation of the attenuation map from magnetic resonance (MR) images is difficult because bone and lung are invisible in conventional MR images and hence indistinguishable from air. An ultrashort echo time (UTE) sequence yields signal in bone and lungs. Micro-SPECT, micro-CT, and MR images of 18 rats were acquired. Different tracers were used: hexamethylpropyleneamine oxime (brain), dimercaptosuccinic acid (kidney), colloids (liver and spleen), and macroaggregated albumin (lung). The micro-SPECT images were reconstructed without attenuation correction, with micro-CT-based attenuation maps, and with three MR-based attenuation maps: uniform, non-UTE-MR based (air, soft tissue), and UTE-MR based (air, lung, soft tissue, bone). The average difference with the micro-CT-based reconstruction was calculated. The UTE-MR-based attenuation correction performed best, with average errors ≤ 8% in the brain scans and ≤ 3% in the body scans. It yields nonsignificant differences for the body scans. The uniform map yields errors of ≤ 6% in the body scans. No attenuation correction yields errors ≥ 15% in the brain scans and ≥ 25% in the body scans. Attenuation correction should always be performed for quantification. The feasibility of MR-based attenuation correction was shown. When accurate quantification is necessary, a UTE-MR-based attenuation correction should be used.
Collapse
Affiliation(s)
- Vincent Keereman
- From MEDISIP, Department of Electronics and Information Systems, Ghent University-IBBT-IBiTech, Ghent, Belgium, and Radiology/BEFY, In-Vivo Cellular and Molecular Imaging Center, and Department of Nuclear Medicine, UZ Brussel, Brussels, Belgium
| | - Yves Fierens
- From MEDISIP, Department of Electronics and Information Systems, Ghent University-IBBT-IBiTech, Ghent, Belgium, and Radiology/BEFY, In-Vivo Cellular and Molecular Imaging Center, and Department of Nuclear Medicine, UZ Brussel, Brussels, Belgium
| | - Christian Vanhove
- From MEDISIP, Department of Electronics and Information Systems, Ghent University-IBBT-IBiTech, Ghent, Belgium, and Radiology/BEFY, In-Vivo Cellular and Molecular Imaging Center, and Department of Nuclear Medicine, UZ Brussel, Brussels, Belgium
| | - Tony Lahoutte
- From MEDISIP, Department of Electronics and Information Systems, Ghent University-IBBT-IBiTech, Ghent, Belgium, and Radiology/BEFY, In-Vivo Cellular and Molecular Imaging Center, and Department of Nuclear Medicine, UZ Brussel, Brussels, Belgium
| | - Stefaan Vandenberghe
- From MEDISIP, Department of Electronics and Information Systems, Ghent University-IBBT-IBiTech, Ghent, Belgium, and Radiology/BEFY, In-Vivo Cellular and Molecular Imaging Center, and Department of Nuclear Medicine, UZ Brussel, Brussels, Belgium
| |
Collapse
|
46
|
Abstract
OBJECTIVES Decreases in apical and apex activities - namely, 'apical thinning' - are a well-known phenomenon in attenuation-corrected (AC) myocardial perfusion. The aim of this study was to compare actual myocardial thickness derived from a multidetector-row computed tomography with AC myocardial perfusion count from a hybrid single-photon emission computed tomography/computed tomography to investigate the cause of apical thinning. METHODS We enrolled 21 participants with a low likelihood of coronary artery disease (mean age 65 ± 21 years, 13 men) from 185 consecutive patients and 11 healthy volunteers, who independently underwent ⁹⁹mTc-sestamibi single-photon emission computed tomography/computed tomography and 64-slice multidetector-row computed tomography scans. AC and non-AC myocardial perfusion counts and thickness were measured on the basis of a 17-segment model and averaged at the apex, apical, mid, and basal walls. RESULTS Myocardial thickness at the apex was significantly thinner than that at the apical and mid walls (5.1 ± 1.3, 7.3 ± 1.3, and 9.9 ± 2.4 mm, respectively; P<0.005). AC count at the apex was significantly lower than that at the apical and mid regions (76.0 ± 5.5, 82.8 ± 4.7, and 85.6 ± 3.8, respectively; P<0.002). Moderate relationship was observed between myocardial thickness and AC count (y=-10.5 + 0.22x, r=0.54, P<0.0001. No relationship was found between thickness and non-AC count (r=0.16, P=0.263). CONCLUSION The low apex and apical counts were caused by anatomical thinning of the myocardium in AC myocardial perfusion imaging. Attenuation correction provided an accurate relationship between myocardial count and thickness because of the partial volume effect.
Collapse
|
47
|
Trägårdh E, Sjöstrand K, Jakobsson D, Edenbrandt L. Small average differences in attenuation corrected images between men and women in myocardial perfusion scintigraphy: a novel normal stress database. BMC Med Imaging 2011; 11:18. [PMID: 21967548 PMCID: PMC3205014 DOI: 10.1186/1471-2342-11-18] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2011] [Accepted: 10/03/2011] [Indexed: 11/15/2022] Open
Abstract
Background The American Society of Nuclear Cardiology and the Society of Nuclear Medicine state that incorporation of attenuation-corrected (AC) images in myocardial perfusion scintigraphy (MPS) will improve image quality, interpretive certainty, and diagnostic accuracy. However, commonly used software packages for MPS usually include normal stress databases for non-attenuation corrected (NC) images but not for attenuation-corrected (AC) images. The aim of the study was to develop and compare different normal stress databases for MPS in relation to NC vs. AC images, male vs. female gender, and presence vs. absence of obesity. The principal hypothesis was that differences in mean count values between men and women would be smaller with AC than NC images, thereby allowing for construction and use of gender-independent AC stress database. Methods Normal stress perfusion databases were developed with data from 126 male and 205 female patients with normal MPS. The following comparisons were performed for all patients and separately for normal weight vs. obese patients: men vs. women for AC; men vs. women for NC; AC vs. NC for men; and AC vs. NC for women. Results When comparing AC for men vs. women, only minor differences in mean count values were observed, and there were no differences for normal weight vs. obese patients. For all other analyses major differences were found, particularly for the inferior wall. Conclusions The results support the hypothesis that it is possible to use not only gender independent but also weight independent AC stress databases.
Collapse
Affiliation(s)
- Elin Trägårdh
- Clinical Physiology and Nuclear Medicine Unit, Skåne University Hospital, Lund University, Malmö, Sweden.
| | | | | | | |
Collapse
|
48
|
Cuocolo A. Attenuation correction for myocardial perfusion SPECT imaging: still a controversial issue. Eur J Nucl Med Mol Imaging 2011; 38:1887-9. [PMID: 21874324 DOI: 10.1007/s00259-011-1898-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2011] [Accepted: 07/29/2011] [Indexed: 10/17/2022]
|
49
|
Okuda K, Nakajima K, Hosoya T, Ishikawa T, Matsuo S, Kawano M, Taki J, Kinuya S. Quantification of myocardial perfusion SPECT using freeware package (cardioBull). Ann Nucl Med 2011; 25:571-9. [PMID: 21698436 DOI: 10.1007/s12149-011-0504-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2011] [Accepted: 05/24/2011] [Indexed: 11/26/2022]
Abstract
OBJECTIVE We have developed freeware package for automatically quantifying myocardial perfusion and (123)I-labeled radiopharmaceutical single-photon emission computed tomography (SPECT), which is called "cardioBull". We aim to evaluate diagnostic performance of the detection of coronary artery disease (CAD) on the developed software in comparison with commercially available software package [Quantitative Perfusion SPECT (QPS)]. METHODS Stress-rest (99m)Tc-sestamibi myocardial perfusion SPECT was performed in 36 patients with CAD and 35 control patients. A ≥ 75% stenosis in the coronary artery was identified by coronary angiography in the CAD group. Segmental perfusion defect score was automatically calculated by both cardioBull and QPS software. Summed stress score (SSS) was obtained to detect CAD by the receiver operator characteristic (ROC) analysis. Areas under the ROC curves (AUC) were calculated in patient-based and coronary-based analyses. RESULTS Mean SSSs showed no significant difference between cardioBull and QPS (6.0 ± 7.1 vs. 5.6 ± 7.0). The AUC for cardioBull was equivalent to that for QPS (0.91 ± 0.04 vs. 0.87 ± 0.04, p = n.s.). Sensitivity, specificity, and accuracy for cardioBull were 89, 74, and 82%, respectively. For the regional detection of CAD, the AUC showed largest value in left anterior descending coronary artery (LAD) territory (0.86 ± 0.06 for cardioBull, 0.87 ± 0.06 for QPS, p = n.s.). Sensitivity, specificity and accuracy of cardioBull were 70, 88, and 83% for the LAD; 91, 62, and 66% for the left circumflex coronary artery (LCx); and 78, 69, and 70% for the right coronary artery (RCA), respectively. CONCLUSIONS The AUC, sensitivity, specificity and accuracy for the detection of CAD showed high diagnostic performance on the developed software. In addition, the developed software provided comparable diagnostic performance to the commercially available software package.
Collapse
Affiliation(s)
- Koichi Okuda
- Department of Biotracer Medicine, Kanazawa University Graduate School of Medical Science, 13-1 Takara-machi, Kanazawa, 920-8641, Japan.
| | | | | | | | | | | | | | | |
Collapse
|
50
|
|