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Suh YJ, Lee S, Chang BC, Shim CY, Hong GR, Choi BW, Kim YJ. Utility of Cardiac CT for Preoperative Evaluation of Mitral Regurgitation: Morphological Evaluation of Mitral Valve and Prediction of Valve Replacement. Korean J Radiol 2019; 20:352-363. [PMID: 30799566 PMCID: PMC6389816 DOI: 10.3348/kjr.2018.0350] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 10/05/2018] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE We aimed to investigate the diagnostic accuracy of cardiac computed tomography (CT) for the detection of mitral valve (MV) prolapse in mitral regurgitation (MR) with surgical findings as the standard reference, and to assess the predictability of MV replacement based on morphologic CT findings. MATERIALS AND METHODS A total of 156 patients who had undergone preoperative cardiac CT and subsequently received MV surgery due to severe MR were retrospectively enrolled. Non-repairable MV was defined when at least one of the following conditions was met: 1) anterior leaflet prolapse, 2) bi-leaflet prolapse, or 3) valve morphology (leaflet thickening, calcification, or mitral annular calcification [MAC]). Diagnostic performance of CT for the detection of the prolapsed segment was assessed with surgical findings as the standard reference. Logistic regression analysis was performed to evaluate the value of CT findings to predict actual valve replacement. RESULTS During surgery, MV prolapse was identified in 72.1%. The sensitivity, specificity, and diagnostic accuracy for the detection of MV prolapse were 99.1%, 81.4%, and 94.2%, respectively, per patient. One-hundred eighteen patients (75.6%) underwent MV repair and the remaining 38 patients received MV replacement. Bi-leaflet prolapse and valve morphology were independent predictors of valve replacement after adjusting for clinical variables (adjusted odds ratio, [OR] 8.63 for bi-leaflet prolapse; OR, 4.14 for leaflet thickening; and OR, 5.37 for leaflet calcium score > 5.6; p < 0.05). CONCLUSION Cardiac CT can have high diagnostic performance for detecting the prolapsed segment of the MV and predictability of valve replacement before surgery. Bi-leaflet prolapse and valve morphology, such as leaflet thickening, or calcification or MAC, are the most important predictors of valve replacement.
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Affiliation(s)
- Young Joo Suh
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sak Lee
- Department of Cardiovascular Surgery, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Byung Chul Chang
- Department of Thoracic and Cardiovascular Surgery, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Chi Young Shim
- Department of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Geu Ru Hong
- Department of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Byoung Wook Choi
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Young Jin Kim
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
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Koo HJ, Kang JW, Oh SY, Kim DH, Song JM, Kang DH, Song JK, Kim JB, Jung SH, Choo SJ, Chung CH, Lee JW, Yang DH. Cardiac computed tomography for the localization of mitral valve prolapse: scallop-by-scallop comparisons with echocardiography and intraoperative findings. Eur Heart J Cardiovasc Imaging 2018; 20:550-557. [DOI: 10.1093/ehjci/jey139] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 09/07/2018] [Indexed: 12/07/2022] Open
Affiliation(s)
- Hyun Jung Koo
- Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
| | - Joon-Won Kang
- Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
| | - Sang Young Oh
- Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
| | - Dae-Hee Kim
- Division of Cardiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
| | - Jong-Min Song
- Division of Cardiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
| | - Duk-Hyun Kang
- Division of Cardiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
| | - Jae-Kwan Song
- Division of Cardiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
| | - Joon Bum Kim
- Department of Cardiothoracic Surgery, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
| | - Sung-Ho Jung
- Department of Cardiothoracic Surgery, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
| | - Suk Jung Choo
- Department of Cardiothoracic Surgery, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
| | - Cheol Hyun Chung
- Department of Cardiothoracic Surgery, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
| | - Jae Won Lee
- Department of Cardiothoracic Surgery, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
| | - Dong Hyun Yang
- Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 388-1, Seoul, South Korea
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Opolski MP, Staruch AD, Jakubczyk M, Min JK, Gransar H, Staruch M, Witkowski A, Kepka C, Kim WK, Hamm CW, Möllmann H, Achenbach S. CT Angiography for the Detection of Coronary Artery Stenoses in Patients Referred for Cardiac Valve Surgery. JACC Cardiovasc Imaging 2016; 9:1059-1070. [PMID: 27344418 DOI: 10.1016/j.jcmg.2015.09.028] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Accepted: 09/24/2015] [Indexed: 12/13/2022]
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Andreini D, Martuscelli E, Guaricci AI, Carrabba N, Magnoni M, Tedeschi C, Pelliccia A, Pontone G. Clinical recommendations on Cardiac-CT in 2015. J Cardiovasc Med (Hagerstown) 2016; 17:73-84. [DOI: 10.2459/jcm.0000000000000318] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Ruggeri M, Manca A, Coretti S, Codella P, Iacopino V, Romano F, Mascia D, Orlando V, Cicchetti A. Investigating the Generalizability of Economic Evaluations Conducted in Italy: A Critical Review. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2015; 18:709-720. [PMID: 26297100 DOI: 10.1016/j.jval.2015.03.1795] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2014] [Revised: 02/27/2015] [Accepted: 03/29/2015] [Indexed: 06/04/2023]
Abstract
OBJECTIVES To assess the methodological quality of Italian health economic evaluations and their generalizability or transferability to different settings. METHODS A literature search was performed on the PubMed search engine to identify trial-based, nonexperimental prospective studies or model-based full economic evaluations carried out in Italy from 1995 to 2013. The studies were randomly assigned to four reviewers who applied a detailed checklist to assess the generalizability and quality of reporting. The review process followed a three-step blinded procedure. The reviewers who carried out the data extraction were blind as to the name of the author(s) of each study. Second, after the first review, articles were reassigned through a second blind randomization to a second reviewer. Finally, any disagreement between the first two reviewers was solved by a senior researcher. RESULTS One hundred fifty-one economic evaluations eventually met the inclusion criteria. Over time, we observed an increasing transparency in methods and a greater generalizability of results, along with a wider and more representative sample in trials and a larger adoption of transition-Markov models. However, often context-specific economic evaluations are carried out and not enough effort is made to ensure the transferability of their results to other contexts. In recent studies, cost-effectiveness analyses and the use of incremental cost-effectiveness ratio were preferred. CONCLUSIONS Despite a quite positive temporal trend, generalizability of results still appears as an unsolved question, even if some indication of improvement within Italian studies has been observed.
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Affiliation(s)
- Matteo Ruggeri
- Director of Post-Graduate School of Health Economics and Management (ALTEMS), Università Cattolica del Sacro Cuore, Rome, Italy
| | - Andrea Manca
- Centre for Health Economics, University of York, York, UK
| | - Silvia Coretti
- Director of Post-Graduate School of Health Economics and Management (ALTEMS), Università Cattolica del Sacro Cuore, Rome, Italy.
| | - Paola Codella
- Director of Post-Graduate School of Health Economics and Management (ALTEMS), Università Cattolica del Sacro Cuore, Rome, Italy
| | - Valentina Iacopino
- Director of Post-Graduate School of Health Economics and Management (ALTEMS), Università Cattolica del Sacro Cuore, Rome, Italy
| | - Federica Romano
- Director of Post-Graduate School of Health Economics and Management (ALTEMS), Università Cattolica del Sacro Cuore, Rome, Italy
| | - Daniele Mascia
- Director of Post-Graduate School of Health Economics and Management (ALTEMS), Università Cattolica del Sacro Cuore, Rome, Italy
| | - Valentina Orlando
- Inter-departmental Research Centre of PharmacoEconomics and Drug utilization (CIRFF), Center of Pharmacoeconomics, Federico II University of Naples, Naples, Italy
| | - Americo Cicchetti
- Director of Post-Graduate School of Health Economics and Management (ALTEMS), Università Cattolica del Sacro Cuore, Rome, Italy
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Diagnostic accuracy of multidetector computed tomography coronary angiography in 325 consecutive patients referred for transcatheter aortic valve replacement. Am Heart J 2014; 168:332-9. [PMID: 25173545 DOI: 10.1016/j.ahj.2014.04.022] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2013] [Accepted: 04/06/2014] [Indexed: 11/22/2022]
Abstract
BACKGROUND Multidetector computed tomography (MDCT) provides detailed assessment of valve annulus and iliofemoral vessels in transcatheter aortic valve replacement (TAVR) patients. However, data on diagnostic performance of MDCT coronary angiography (MDCT-CA) are scarce. The aim of the study is to assess diagnostic performance of MDCT for coronary artery evaluation before TAVR. METHODS A total of 325 consecutive patients (234 without previous myocardial revascularization, 49 with previous coronary stenting, and 42 with previous coronary artery bypass graft [CABG]) underwent invasive coronary angiography and MDCT before TAVR. MDCT-CA was performed using the same data set dedicated to standard MDCT aortic annulus evaluation. Multidetector computed tomography-CA evaluability and diagnostic accuracy in comparison with invasive coronary angiography as criterion standard were assessed. RESULTS The MDCT-CA evaluability of native coronaries was 95.6%. The leading cause of unevaluability was beam-hardening artifact due to coronary calcifications. In a segment-based analysis, MDCT-CA showed sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy for detecting ≥50% stenosis of 91%, 99.2%, 83.4%, 99.6% and 98.8%, respectively. The MDCT-CA evaluability of coronary stents was 82.1%. In a segment-based analysis, MDCT-CA showed sensitivity, specificity, PPV, NPV, and accuracy for detecting ≥50% in-stent restenosis of 94.1%, 86.7%, 66.7%, 98.1%, and 88.3%, respectively. All CABGs were correctly assessed by MDCT-CA. In a patient-based analysis, MDCT-CA showed sensitivity, specificity, PPV, NPV, and accuracy of 89.7%, 90.8%, 80.6%, 95.4%, and 90.5%, respectively. CONCLUSIONS Multidetector computed tomography-CA allows to correctly rule out the presence of significant native coronary artery stenosis, significant in-stent restenosis, and CABG disease in patients referred for TAVR.
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