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Fukuoka R, Yamada Y, Kataoka M, Yokoyama Y, Yamada M, Narita K, Nakahara T, Fukuda K, Jinzaki M. Estimating right atrial pressure using upright computed tomography in patients with heart failure. Eur Radiol 2022; 33:4073-4081. [PMID: 36576542 PMCID: PMC10182146 DOI: 10.1007/s00330-022-09360-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 12/01/2022] [Accepted: 12/05/2022] [Indexed: 12/29/2022]
Abstract
OBJECTIVES Upright computed tomography (CT) can detect slight changes particularly in the superior vena cava (SVC) volume in healthy volunteers under the influence of gravity. This study aimed to evaluate whether upright CT-based measurements of the SVC area are useful for assessing mean right atrial pressure (mRAP) in patients with heart failure. METHODS We performed CT in both standing and supine positions to evaluate the SVC (directly below the junction of the bilateral brachiocephalic veins) and inferior vena cava (IVC; at the height of the diaphragm) areas and analyzed their relationship with mRAP, measured by right heart catheterization in 23 patients with heart failure. RESULTS The median age of enrolled patients was 60 (51-72) years, and 69.6% were male. The median mRAP was 3 (1-7) mmHg. The correlations between the standing position SVC and IVC areas and mRAP were stronger than those in the supine position (SVC, ρ = 0.68, p < 0.001 and ρ = 0.43, p = 0.040; IVC, ρ = 0.57, p = 0.005 and ρ = 0.46, p = 0.026; respectively). Furthermore, the SVC area in the standing position was most accurate in identifying patients with higher mRAP (> 5 mmHg) (SVC standing, area under the receiver operating characteristic curve [AUC] = 0.91, 95% confidence interval [CI], 0.77-1.00; SVC supine, AUC = 0.78, 95% CI, 0.59-0.98; IVC standing, AUC = 0.77, 95% CI, 0.55-0.98; IVC supine, AUC = 0.72, 95% CI, 0.49-0.94). The inter- and intraobserver agreements (evaluated by intraclass correlation coefficients) for all CT measurements were 0.962-0.991. CONCLUSIONS Upright CT-based measurement of the SVC area can be useful for non-invasive estimation of mRAP under the influence of gravity in patients with heart failure. KEY POINTS • This study showed that the superior vena cava (SVC) area in the standing position was most accurate in identifying patients with heart failure with higher mean right atrial pressure. • Upright computed tomography-based measurements of the SVC area can be a promising non-invasive method for estimating mean right atrial pressure under the influence of gravity in patients with heart failure. • Clinical management of patients with heart failure based on this non-invasive modality may lead to early assessment of conditional changes and reduced hospitalization for exacerbation of heart failure.
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Affiliation(s)
- Ryoma Fukuoka
- Department of Cardiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan.,Department of Cardiology, School of Medicine, International University of Health and Welfare, 4-3, Kozunomori, Narita, Chiba, Japan
| | - Yoshitake Yamada
- Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan.
| | - Masaharu Kataoka
- Department of Cardiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan.,The Second Department of Internal Medicine, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, Fukuoka, Japan
| | - Yoichi Yokoyama
- Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Minoru Yamada
- Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Keiichi Narita
- Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Takehiro Nakahara
- Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Keiichi Fukuda
- Department of Cardiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan
| | - Masahiro Jinzaki
- Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan.
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2
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Turner VL, Jubran A, Kim JB, Maret E, Moneghetti KJ, Haddad F, Amsallem M, Codari M, Hinostroza V, Mastrodicasa D, Sailer AM, Kobayashi Y, Nishi T, Yeung AC, Watkins AC, Lee AM, Miller DC, Fischbein MP, Fearon WF, Willemink MJ, Fleischmann D. CTA pulmonary artery enlargement in patients with severe aortic stenosis: Prognostic impact after TAVR. J Cardiovasc Comput Tomogr 2021; 15:431-440. [PMID: 33795188 PMCID: PMC10017114 DOI: 10.1016/j.jcct.2021.03.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 02/09/2021] [Accepted: 03/13/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND Identifying high-risk patients who will not derive substantial survival benefit from TAVR remains challenging. Pulmonary hypertension is a known predictor of poor outcome in patients undergoing TAVR and correlates strongly with pulmonary artery (PA) enlargement on CTA. We sought to evaluate whether PA enlargement, measured on pre-procedural computed tomography angiography (CTA), is associated with 1-year mortality in patients undergoing TAVR. METHODS We retrospectively included 402 patients undergoing TAVR between July 2012 and March 2016. Clinical parameters, including Society of Thoracic Surgeons (STS) score and right ventricular systolic pressure (RVSP) estimated by transthoracic echocardiography were reviewed. PA dimensions were measured on pre-procedural CTAs. Association between PA enlargement and 1-year mortality was analyzed. Kaplan-Meier and Cox proportional hazards regression analyses were performed. RESULTS The median follow-up time was 433 (interquartiles 339-797) days. A total of 56/402 (14%) patients died within 1 year after TAVR. Main PA area (area-MPA) was independently associated with 1-year mortality (hazard ratio per standard deviation equal to 2.04 [95%-confidence interval (CI) 1.48-2.76], p < 0.001). Area under the curve (95%-CI) of the clinical multivariable model including STS-score and RVSP increased slightly from 0.67 (0.59-0.75) to 0.72 (0.72-0.89), p = 0.346 by adding area-MPA. Although the AUC increased, differences were not significant (p = 0.346). Kaplan-Meier analysis showed that mortality was significantly higher in patients with a pre-procedural non-indexed area-MPA of ≥7.40 cm2 compared to patients with a smaller area-MPA (mortality 23% vs. 9%; p < 0.001). CONCLUSIONS Enlargement of MPA on pre-procedural CTA is independently associated with 1-year mortality after TAVR.
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Affiliation(s)
- Valery L Turner
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Ayman Jubran
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
| | - Juyong Brian Kim
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Eva Maret
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Department of Clinical Physiology, Karolinska University Hospital, Karolinska Institute, Stockholm.
| | - Kegan J Moneghetti
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA.
| | - Francois Haddad
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Myriam Amsallem
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Marina Codari
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Virginia Hinostroza
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Domenico Mastrodicasa
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Anna M Sailer
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Yukari Kobayashi
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Takeshi Nishi
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Alan C Yeung
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Amelia C Watkins
- Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA.
| | - Anson M Lee
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA.
| | - D Craig Miller
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA.
| | - Michael P Fischbein
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA; Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA.
| | - William F Fearon
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Martin J Willemink
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Dominik Fleischmann
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
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3
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Esposito A, Palmisano A, Toselli M, Vignale D, Cereda A, Rancoita PMV, Leone R, Nicoletti V, Gnasso C, Monello A, Biagi A, Turchio P, Landoni G, Gallone G, Monti G, Casella G, Iannopollo G, Nannini T, Patelli G, Di Mare L, Loffi M, Sergio P, Ippolito D, Sironi S, Pontone G, Andreini D, Mancini EM, Di Serio C, De Cobelli F, Ciceri F, Zangrillo A, Colombo A, Tacchetti C, Giannini F. Chest CT-derived pulmonary artery enlargement at the admission predicts overall survival in COVID-19 patients: insight from 1461 consecutive patients in Italy. Eur Radiol 2021; 31:4031-4041. [PMID: 33355697 PMCID: PMC7755582 DOI: 10.1007/s00330-020-07622-x] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 11/06/2020] [Accepted: 12/10/2020] [Indexed: 02/05/2023]
Abstract
OBJECTIVES Enlarged main pulmonary artery diameter (MPAD) resulted to be associated with pulmonary hypertension and mortality in a non-COVID-19 setting. The aim was to investigate and validate the association between MPAD enlargement and overall survival in COVID-19 patients. METHODS This is a cohort study on 1469 consecutive COVID-19 patients submitted to chest CT within 72 h from admission in seven tertiary level hospitals in Northern Italy, between March 1 and April 20, 2020. Derivation cohort (n = 761) included patients from the first three participating hospitals; validation cohort (n = 633) included patients from the remaining hospitals. CT images were centrally analyzed in a core-lab blinded to clinical data. The prognostic value of MPAD on overall survival was evaluated at adjusted and multivariable Cox's regression analysis on the derivation cohort. The final multivariable model was tested on the validation cohort. RESULTS In the derivation cohort, the median age was 69 (IQR, 58-77) years and 537 (70.6%) were males. In the validation cohort, the median age was 69 (IQR, 59-77) years with 421 (66.5%) males. Enlarged MPAD (≥ 31 mm) was a predictor of mortality at adjusted (hazard ratio, HR [95%CI]: 1.741 [1.253-2.418], p < 0.001) and multivariable regression analysis (HR [95%CI]: 1.592 [1.154-2.196], p = 0.005), together with male gender, old age, high creatinine, low well-aerated lung volume, and high pneumonia extension (c-index [95%CI] = 0.826 [0.796-0.851]). Model discrimination was confirmed on the validation cohort (c-index [95%CI] = 0.789 [0.758-0.823]), also using CT measurements from a second reader (c-index [95%CI] = 0.790 [0.753;0.825]). CONCLUSION Enlarged MPAD (≥ 31 mm) at admitting chest CT is an independent predictor of mortality in COVID-19. KEY POINTS • Enlargement of main pulmonary artery diameter at chest CT performed within 72 h from the admission was associated with a higher rate of in-hospital mortality in COVID-19 patients. • Enlargement of main pulmonary artery diameter (≥ 31 mm) was an independent predictor of death in COVID-19 patients at adjusted and multivariable regression analysis. • The combined evaluation of clinical findings, lung CT features, and main pulmonary artery diameter may be useful for risk stratification in COVID-19 patients.
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Affiliation(s)
- Antonio Esposito
- Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan, Italy.
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy.
| | - Anna Palmisano
- Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy
| | - Marco Toselli
- GVM Care & Research Maria Cecilia Hospital, Cotignola, Italy
| | - Davide Vignale
- Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy
| | - Alberto Cereda
- GVM Care & Research Maria Cecilia Hospital, Cotignola, Italy
| | - Paola Maria Vittoria Rancoita
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy
- Centro Universitario di Statistica per le Scienze Biomediche, Vita-Salute San Raffaele University, Milan, Italy
| | - Riccardo Leone
- Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy
| | - Valeria Nicoletti
- Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy
| | - Chiara Gnasso
- Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy
| | | | | | | | - Giovanni Landoni
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy
- Anesthesia and Intensive Care Department, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Guglielmo Gallone
- Division of Cardiology, Department of Internal Medicine, Città della Salute e della Scienza, Turin, Italy
| | - Giacomo Monti
- Anesthesia and Intensive Care Department, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | | | | | | | | | | | | | | | | | | | | | | | - Clelia Di Serio
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy
- Centro Universitario di Statistica per le Scienze Biomediche, Vita-Salute San Raffaele University, Milan, Italy
| | - Francesco De Cobelli
- Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy
| | - Fabio Ciceri
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy
- Department of Hematology and Bone Marrow Transplantation, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alberto Zangrillo
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy
- Anesthesia and Intensive Care Department, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Antonio Colombo
- GVM Care & Research Maria Cecilia Hospital, Cotignola, Italy
| | - Carlo Tacchetti
- Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, Milan, Italy
- School of Medicine, Vita-Salute San Raffaele University, Via Olgettina 58, Milan, Italy
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Tsianaka T, Matziris I, Kobe A, Euler A, Kuzo N, Erhart L, Leschka S, Manka R, Kasel AM, Tanner FC, Alkadhi H, Eberhard M. Mitral annular disjunction in patients with severe aortic stenosis: Extent and reproducibility of measurements with computed tomography. Eur J Radiol Open 2021; 8:100335. [PMID: 33748350 PMCID: PMC7960936 DOI: 10.1016/j.ejro.2021.100335] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 02/25/2021] [Accepted: 03/01/2021] [Indexed: 01/08/2023] Open
Abstract
Mitral annulus disjunction (MAD) is frequent in patients with severe aortic stenosis. Computed tomography enables a highly reproducible assessment of MAD. MAD patients significantly more often have mitral valve prolapse.
Objectives To determine with CT the prevalence and extent of mitral annular disjunction (MAD) in patients undergoing transcatheter aortic valve replacement (TAVR) and its association with mitral valve disease and arrhythmia. Methods We retrospectively evaluated 408 patients (median age, 82 years; 186 females) with severe aortic stenosis undergoing ECG-gated cardiac CT with end-systolic data acquisition. Baseline and follow-up data were collected in the context of a national registry. Two blinded, independent observers evaluated the presence of MAD on multi-planar reformations. Maximum MAD distance (left atrial wall-mitral leaflet junction to left ventricular myocardium) and circumferential extent of MAD were assessed on CT using dedicated post-processing software. Associated mitral valve disease was determined with echocardiography. Results 7.8 % (32/408) of patients with severe aortic stenosis had MAD. The maximum MAD was 3.5 mm (interquartile range: 3.0–4.0 mm). The circumferential extent of MAD comprised 34 ± 15 % of the posterior and 26 ± 12 % of the entire mitral annulus. Intra- and interobserver agreement for the detection of MAD on CT were excellent (kappa: 0.90 ± 0.02 and 0.92 ± 0.02). Mitral regurgitation (p = 1.00) and severe mitral annular calcification (p = 0.29) were similarly prevalent in MAD and non-MAD patients. Significantly more patients with MAD (6/32; 19 %) had mitral valve prolapse compared to those without (6/376; 2 %; p < 0.001). MAD was not associated with arrhythmia before and after TAVR (p > 0.05). Conclusions Using CT, MAD was found in 7.8 % of patients with severe aortic stenosis, with a higher prevalence in patients with mitral valve prolapse. We found no association of MAD with arrhythmia before or after TAVR.
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Affiliation(s)
- T Tsianaka
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - I Matziris
- Department of Cardiology, University Heart Center Zurich, Zurich, Switzerland
| | - A Kobe
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - A Euler
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - N Kuzo
- Department of Cardiology, University Heart Center Zurich, Zurich, Switzerland
| | - L Erhart
- Department of Cardiology, University Heart Center Zurich, Zurich, Switzerland
| | - S Leschka
- Division of Radiology and Nuclear Medicine, Kantonsspital St.Gallen, Switzerland
| | - R Manka
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland.,Department of Cardiology, University Heart Center Zurich, Zurich, Switzerland.,Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - A M Kasel
- Department of Cardiology, University Heart Center Zurich, Zurich, Switzerland
| | - F C Tanner
- Department of Cardiology, University Heart Center Zurich, Zurich, Switzerland
| | - H Alkadhi
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
| | - M Eberhard
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, University of Zurich, Switzerland
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Chiocchi M, Ricci F, Pasqualetto M, D'Errico F, Benelli L, Pugliese L, Cavallo AU, Forcina M, Presicce M, De Stasio V, Di Donna C, Di Tosto F, Spiritigliozzi L, Floris R, Romeo F. Role of computed tomography in transcatheter aortic valve implantation and valve-in-valve implantation: complete review of preprocedural and postprocedural imaging. J Cardiovasc Med (Hagerstown) 2020; 21:182-191. [PMID: 32012138 DOI: 10.2459/jcm.0000000000000899] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
: Since 2002, transcatheter aortic valve implantation (TAVI) has revolutionized the treatment and prognosis of patients with aortic stenosis. A preprocedural assessment of the patient is vital for achieving optimal outcomes from the procedure. Retrospective ECG-gated cardiac computed tomography (CT) today it is the gold-standard imaging technique that provides three-dimensional images of the heart, thus allowing a rapid and complete evaluation of the morphology of the valve, ascending aorta, coronary arteries, peripheral access vessels, and prognostic factors, and also provides preprocedural coplanar fluoroscopic angle prediction to obtain complete assessment of the patient. The most relevant dimension in preprocedural planning of TAVI is the aortic annulus, which can determine the choice of prosthesis size. CT is also essential to identify patients with increased anatomical risk for coronary artery occlusion in Valve in Valve (ViV) procedures.Moreover, CT is very useful in the evaluation of late complications, such as leakage, thrombosis and displacements. At present, CT is the cornerstone imaging modality for the extensive and thorough work-up required for planning and performing each TAVI procedure, to achieve optimal outcomes. Both the CT procedure and analysis should be performed by trained and experienced personnel, with a radiological background and a deep understanding of the TAVI procedure, in close collaboration with the implantation team. An accurate pre-TAVI CT and post-processing for the evaluation of all the points recommended in this review allow a complete planning for the choice of the valve dimensions and type (balloon or self-expandable) and of the best percutaneous access.
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Affiliation(s)
- Marcello Chiocchi
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | - Francesca Ricci
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | - Monia Pasqualetto
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | | | - Leonardo Benelli
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | - Luca Pugliese
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | | | - Marco Forcina
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | - Matteo Presicce
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | | | - Carlo Di Donna
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | - Federica Di Tosto
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | | | - Roberto Floris
- Divison of Diagnostic Imaging, Department of Biomedicine and Prevention
| | - Francesco Romeo
- Unit of Cardiology and Interventional Cardiology, University of Rome 'Tor Vergata', Rome, Italy
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