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Hagar MT, Soschynski M, Saffar R, Molina-Fuentes MF, Weiss J, Rau A, Schuppert C, Ruile P, Faby S, Schibilsky D, von Zur Muehlen C, Schlett CL, Bamberg F, Krauss T. Ultra-high-resolution photon-counting detector CT in evaluating coronary stent patency: a comparison to invasive coronary angiography. Eur Radiol 2024; 34:4273-4283. [PMID: 38177617 DOI: 10.1007/s00330-023-10516-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 10/02/2023] [Accepted: 10/25/2023] [Indexed: 01/06/2024]
Abstract
OBJECTIVES To determine the diagnostic accuracy of ultra-high-resolution photon-counting detector CT angiography (UHR PCD-CTA) for evaluating coronary stent patency compared to invasive coronary angiography (ICA). METHODS Consecutive, clinically referred patients with prior coronary stent implantation were prospectively enrolled between August 2022 and March 2023 and underwent UHR PCD-CTA (collimation, 120 × 0.2 mm). Two radiologists independently analyzed image quality of the in-stent lumen using a 5-point Likert scale, ranging from 1 ("excellent") to 5 ("non-diagnostic"), and assessed all coronary stents for the presence of in-stent stenosis (≥ 50% lumen narrowing). The diagnostic accuracy of UHR PCD-CTA was determined, with ICA serving as the standard of reference. RESULTS A total of 44 coronary stents in 18 participants (mean age, 83 years ± 6 [standard deviation]; 12 women) were included in the analysis. In 3/44 stents, both readers described image quality as non-diagnostic, whereas reader 2 noted a fourth stent to have non-diagnostic image quality. In comparison to ICA, UHR PCD-CTA demonstrated a sensitivity, specificity, and accuracy of 100% (95% CI [confidence interval] 47.8, 100), 92.3% (95% CI 79.1, 98.4), and 93.2% (95% CI 81.3, 98.6) for reader 1 and 100% (95% CI 47.8, 100), 87.2% (95% CI 72.6, 95.7), and 88.6% (95% CI 75.4, 96.2) for reader 2, respectively. Both readers observed a 100% negative predictive value (36/36 stents and 34/34 stents). Stent patency inter-reader agreement was 90.1%, corresponding to a substantial Cohen's kappa value of 0.72. CONCLUSIONS UHR PCD-CTA enables non-invasive assessment of coronary stent patency with high image quality and diagnostic accuracy. CLINICAL RELEVANCE STATEMENT Ultra-high-resolution photon-counting detector CT angiography represents a reliable and non-invasive method for assessing coronary stent patency. Its high negative predictive value makes it a promising alternative over invasive coronary angiography for the rule-out of in-stent stenosis. KEY POINTS • CT-based evaluation of coronary stent patency is limited by stent-induced artifacts and spatial resolution. • Ultra-high-resolution photon-counting detector CT accurately evaluates coronary stent patency compared to invasive coronary angiography. • Photon-counting detector CT represents a promising method for the non-invasive rule-out of in-stent stenosis.
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Affiliation(s)
- Muhammad Taha Hagar
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Hugstetter Straße 55, Freiburg im Breisgau, 79106, Germany.
| | - Martin Soschynski
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Hugstetter Straße 55, Freiburg im Breisgau, 79106, Germany
| | - Ruben Saffar
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Hugstetter Straße 55, Freiburg im Breisgau, 79106, Germany
| | - Moisés Felipe Molina-Fuentes
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Hugstetter Straße 55, Freiburg im Breisgau, 79106, Germany
| | - Jakob Weiss
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Hugstetter Straße 55, Freiburg im Breisgau, 79106, Germany
| | - Alexander Rau
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Hugstetter Straße 55, Freiburg im Breisgau, 79106, Germany
| | - Christopher Schuppert
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Hugstetter Straße 55, Freiburg im Breisgau, 79106, Germany
| | - Philipp Ruile
- Department of Cardiology, Faculty of Medicine, University Hospital Freiburg Heart Centre, Freiburg, Germany, University of Freiburg, Freiburg, Germany
| | - Sebastian Faby
- Computed Tomography, Siemens Healthcare GmbH, Forchheim, 91301, Germany
| | - David Schibilsky
- Department of Cardiac and Vascular Surgery, Freiburg University, Freiburg, Germany
| | - Constantin von Zur Muehlen
- Department of Cardiology, Faculty of Medicine, University Hospital Freiburg Heart Centre, Freiburg, Germany, University of Freiburg, Freiburg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Hugstetter Straße 55, Freiburg im Breisgau, 79106, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Hugstetter Straße 55, Freiburg im Breisgau, 79106, Germany
| | - Tobias Krauss
- Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, University of Freiburg, Hugstetter Straße 55, Freiburg im Breisgau, 79106, Germany
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Kawai H, Motoyama S, Sarai M, Sato Y, Matsuyama T, Matsumoto R, Takahashi H, Katagata A, Kataoka Y, Ida Y, Muramatsu T, Ohno Y, Ozaki Y, Toyama H, Narula J, Izawa H. Coronary computed tomography angiographic detection of in-stent restenosis via deep learning reconstruction: a feasibility study. Eur Radiol 2024; 34:2647-2657. [PMID: 37672056 DOI: 10.1007/s00330-023-10110-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 05/30/2023] [Accepted: 06/25/2023] [Indexed: 09/07/2023]
Abstract
OBJECTIVES Evaluation of in-stent restenosis (ISR), especially for small stents, remains challenging during computed tomography (CT) angiography. We used deep learning reconstruction to quantify stent strut thickness and lumen vessel diameter at the stent and compared it with values obtained using conventional reconstruction strategies. METHODS We examined 166 stents in 85 consecutive patients who underwent CT and invasive coronary angiography (ICA) within 3 months of each other from 2019-2021 after percutaneous coronary intervention with coronary stent placement. The presence of ISR was defined as percent diameter stenosis ≥ 50% on ICA. We compared a super-resolution deep learning reconstruction, Precise IQ Engine (PIQE), and a model-based iterative reconstruction, Forward projected model-based Iterative Reconstruction SoluTion (FIRST). All images were reconstructed using PIQE and FIRST and assessed by two blinded cardiovascular radiographers. RESULTS PIQE had a larger full width at half maximum of the lumen and smaller strut than FIRST. The image quality score in PIQE was higher than that in FIRST (4.2 ± 1.1 versus 2.7 ± 1.2, p < 0.05). In addition, the specificity and accuracy of ISR detection were better in PIQE than in FIRST (p < 0.05 for both), with particularly pronounced differences for stent diameters < 3.0 mm. CONCLUSION PIQE provides superior image quality and diagnostic accuracy for ISR, even with stents measuring < 3.0 mm in diameter. CLINICAL RELEVANCE STATEMENT With improvements in the diagnostic accuracy of in-stent stenosis, CT angiography could become a gatekeeper for ICA in post-stenting cases, obviating ICA in many patients after recent stenting with infrequent ISR and allowing non-invasive ISR detection in the late phase. KEY POINTS • Despite CT technology advancements, evaluating in-stent stenosis severity, especially in small-diameter stents, remains challenging. • Compared with conventional methods, the Precise IQ Engine uses deep learning to improve spatial resolution. • Improved diagnostic accuracy of CT angiography helps avoid invasive coronary angiography after coronary artery stenting.
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Affiliation(s)
- Hideki Kawai
- Department of Cardiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan.
| | - Sadako Motoyama
- Department of Cardiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan
| | - Masayoshi Sarai
- Department of Cardiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan
| | - Yoshihiro Sato
- Department of Cardiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan
| | - Takahiro Matsuyama
- Department of Radiology, Fujita Health University, Toyoake, Aichi, Japan
| | - Ryota Matsumoto
- Department of Radiology, Fujita Health University Hospital, Toyoake, Aichi, Japan
| | - Hiroshi Takahashi
- Department of Cardiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan
| | - Akio Katagata
- Department of Radiology, Fujita Health University Hospital, Toyoake, Aichi, Japan
| | - Yumi Kataoka
- Department of Radiology, Fujita Health University Hospital, Toyoake, Aichi, Japan
| | - Yoshihiro Ida
- Department of Radiology, Fujita Health University Hospital, Toyoake, Aichi, Japan
| | - Takashi Muramatsu
- Department of Cardiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan
| | - Yoshiharu Ohno
- Department of Radiology, Fujita Health University, Toyoake, Aichi, Japan
- Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University, Toyoake, Japan
| | - Yukio Ozaki
- Department of Cardiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan
| | - Hiroshi Toyama
- Department of Radiology, Fujita Health University, Toyoake, Aichi, Japan
| | - Jagat Narula
- Icahn School of Medicine at Mount Sinai, Mount Sinai Heart, New York, NY, USA
| | - Hideo Izawa
- Department of Cardiology, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan
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Bartorelli AL, Andreini D, Giustino G, Dangas G. Coronary CT as a first-line investigation in chronic coronary syndromes: pros and cons. EUROINTERVENTION 2023; 19:459-461. [PMID: 37605808 PMCID: PMC10436067 DOI: 10.4244/eij-e-23-00013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Affiliation(s)
- Antonio L Bartorelli
- IRCCS Ospedale Galeazzi - Sant'Ambrogio, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Daniele Andreini
- IRCCS Ospedale Galeazzi - Sant'Ambrogio, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Gennaro Giustino
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - George Dangas
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Premaratne M, Garcia GP, Thomas W, Hameed S, Leadbeatter A, Htun N, Dwivedi G, Kaye DM. Opportunities and Challenges of Computed Tomography Coronary Angiography in the Investigation of Chest Pain in the Emergency Department-A Narrative Review. Heart Lung Circ 2023; 32:307-314. [PMID: 36621394 DOI: 10.1016/j.hlc.2022.12.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 11/02/2022] [Accepted: 12/06/2022] [Indexed: 01/07/2023]
Abstract
Chest pain is one of the most common presentations to emergency departments. However, only 5.1% will be diagnosed with an acute coronary syndrome, representing considerable time and expense in the diagnosis and investigation of the patients eventually found not to be suffering from an acute coronary syndrome. PubMed and Medline databases were searched with variations of the terms "chest pain", "emergency department", "computed tomography coronary angiography". After review, 52 articles were included. Computed tomography coronary angiography (CTCA) is a class I endorsement for investigating chest pain in major international societal guidelines. CTCA offers excellent sensitivity and negative predictive value in identifying patients with coronary disease, with prognostic data impacting patient management. If CTCA is to be applied to all comers, it is pertinent to discuss the advantages and potential pitfalls if use in the Australian system is to be increased.
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Affiliation(s)
- Manuja Premaratne
- Department of Medicine, Cardiology, Peninsula Health, Melbourne, Vic, Australia.
| | | | - William Thomas
- Department of Radiology, Peninsula Health, Melbourne, Vic, Australia
| | - Shaiq Hameed
- Department of Medicine, Peninsula Health, Melbourne, Vic, Australia
| | | | - Nay Htun
- Department of Medicine, Cardiology, Peninsula Health, Melbourne, Vic, Australia
| | - Girish Dwivedi
- Department of Cardiology, Harry Perkins Institute of Medical Research, Perth, WA, Australia
| | - David M Kaye
- Department of Cardiology, Alfred Health, Melbourne, Vic, Australia
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5
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Andreini D, Conte E, Mushtaq S, Melotti E, Gigante C, Mancini ME, Guglielmo M, Lo Russo G, Baggiano A, Annoni A, Formenti A, Magini A, Pontone G, Agostoni P, Bartorelli AL, Pepi M, Onuma Y, Serruys PW. Comprehensive Evaluation of Left Ventricle Dysfunction by a New Computed Tomography Scanner: The E-PLURIBUS Study. JACC Cardiovasc Imaging 2023; 16:175-188. [PMID: 36444769 DOI: 10.1016/j.jcmg.2022.08.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 08/02/2022] [Accepted: 08/04/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND Although cardiac magnetic resonance (CMR) is considered the gold standard for myocardial fibrosis detection, cardiac computed tomography (CCT) is emerging as a promising alternative. OBJECTIVES The purpose of this study was to assess feasibility and diagnostic accuracy of a comprehensive functional and anatomical evaluation with CCT as compared with CMR in patients with newly diagnosed left ventricular dysfunction (LVD). METHODS A total of 128 consecutive patients with newly diagnosed LVD were screened. Based on the exclusion criteria, 28 cases were excluded. CCT was performed within 10 days from CMR. Biventricular volumes and ejection fraction, and presence and pattern of delayed enhancement (DE), were determined, along with evaluation of coronary arteries among patients undergoing invasive angiography in the 6 months after CCT. RESULTS Six cases were excluded because of claustrophobia at CMR. Among the 94 patients who formed the study population, the concordance between CCT and CMR in suggesting the cause of the LVD was high (94.7%, 89/94 patients) in the overall population and was 100% for identifying ischemic cardiomyopathy. The CCT diagnostic rate for DE assessment was also high (96.7%, 1,544/1,598 territories) and similar to that of CMR (97.4%; P = 0.345, CCT vs CMR). Moreover, CCT showed high diagnostic accuracy in the detection of DE (94.8%, 95% CI: 93.6%-95.8%) in a territory-based analysis. Biventricular volumes and function parameters as measured by CCT and CMR were similar, without significant differences with the exception of a modest difference in RV volume. CCT was confirmed to be accurate for assessing arterial coronary circulation. The mean radiation exposure of the whole CCT was 7.78 ± 2.53 mSv (0.84 ± 0.24 mSv for DE). CONCLUSIONS CCT performed with low-dose whole-heart coverage scanner and high-concentration contrast agent appears an effective noninvasive tool for a comprehensive assessment of patients with newly diagnosed LVD.
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Affiliation(s)
- Daniele Andreini
- Centro Cardiologico Monzino, IRCCS, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
| | - Edoardo Conte
- Centro Cardiologico Monzino, IRCCS, Milan, Italy; Department of Biomedial Science for Health, University of Milan, Milan
| | | | | | | | | | | | | | | | | | | | | | | | | | - Antonio L Bartorelli
- Centro Cardiologico Monzino, IRCCS, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Mauro Pepi
- Centro Cardiologico Monzino, IRCCS, Milan, Italy
| | - Yoshinobu Onuma
- Department of Cardiology, National University of Ireland Galway, Galway, Ireland
| | - Patrick W Serruys
- Department of Cardiology, National University of Ireland Galway, Galway, Ireland; NHLI, Imperial College London, London, United Kingdom
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Mørup SD, Stowe J, Precht H, Kusk MW, Lambrechtsen J, Foley SJ. COMBINING HI-RESOLUTION SCAN MODE WITH DEEP LEARNING RECONSTRUCTION ALGORITHMS IN CARDIAC CT. RADIATION PROTECTION DOSIMETRY 2023; 199:79-86. [PMID: 36420841 DOI: 10.1093/rpd/ncac243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 10/22/2022] [Accepted: 10/31/2022] [Indexed: 06/16/2023]
Abstract
To investigate the impact of combining the high-resolution (Hi-res) scan mode with deep learning image reconstruction (DLIR) algorithm in CT. Two phantoms (Catphan600® and Lungman, small, medium, large size) were CT scanned using combinations of Hi-res/standard mode and high-definition (HD)/standard kernels. Images were reconstructed with ASiR-V and three levels of DLIR. Spatial resolution, noise and contrast-to-noise ratio (CNR) were assessed. The radiation dose was recorded. The spatial resolution increased using Hi-res & HD. Image noise in the Catphan600® (69%) and the Lungman (10-70%) significantly increased when Hi-res & HD was applied. DLIR reduced the mean noise (54%). The CNR was reduced (64%) for Hi-res & HD. The radiation dose increased for both small (+70%) and medium (+43%) Lungman phantoms but decreased slightly for the large ones (-3%) when Hi-res was applied. In conclusion, the Hi-res scan mode improved the spatial resolution. The HD kernel significantly increased the image noise. DLIR improved the image noise and CNR and did not affect the spatial resolution.
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Affiliation(s)
- Svea Deppe Mørup
- Health Sciences Research Centre, UCL University College, Niels Bohrs Alle 1, 5230 Odense M Denmark
- Cardiology Research Department, Odense University Hospital, Baagøes Alle 15, 5700 Svendborg, Denmark
- Radiography & Diagnostic Imaging, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland
| | - John Stowe
- Radiography & Diagnostic Imaging, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland
| | - Helle Precht
- Health Sciences Research Centre, UCL University College, Niels Bohrs Alle 1, 5230 Odense M Denmark
- Department of Regional Health Research, University of Southern Denmark, J.B. Winsløws Vej 19, 3, 5000 Odense C, Denmark
- Department of Radiology, Hospital Little Belt Kolding, Sygehusvej 24, 6000 Kolding, Denmark
| | - Martin Weber Kusk
- Radiography & Diagnostic Imaging, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland
- Department of Radiology and Nuclear Medicine, University Hospital of Southwest Jutland, Esbjerg, Denmark
| | - Jess Lambrechtsen
- Cardiology Research Department, Odense University Hospital, Baagøes Alle 15, 5700 Svendborg, Denmark
| | - Shane J Foley
- Radiography & Diagnostic Imaging, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland
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Coronary Artery Stent Evaluation by CTA: Impact of Deep Learning Reconstruction and Subtraction Technique. AJR Am J Roentgenol 2023; 220:63-72. [PMID: 35946861 DOI: 10.2214/ajr.22.27983] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND. Coronary CTA with hybrid iterative reconstruction (HIR) is prone to false-positive results for in-stent restenosis due to stent-related blooming artifact. OBJECTIVE. The purpose of this study is to assess the impact of deep learning reconstruction (DLR), subtraction images, and the combination of DLR and subtraction images on the diagnostic performance of coronary CTA for the detection of in-stent restenosis. METHODS. This prospective study included patients with coronary stents who underwent coronary CTA between March 2020 and August 2021. CTA used a technique with two breath-holds (noncontrast and contrast-enhanced acquisitions). Conventional and subtraction images were reconstructed for HIR and DLR. The maximum visible instent lumen diameter was measured. Two readers independently evaluated images for in-stent restenosis (≥ 50% stenosis). A simulated assessment of combined conventional and subtraction images was generated, reflecting assessment of conventional and subtraction images in the presence or absence of severe misregistration artifact, respectively. Invasive angiography served as reference standard. RESULTS. The study enrolled 30 patients (22 men and eight women; mean age, 63.6 ± 7.4 [SD] years) with a total of 59 stents; severe misregistration artifact was present for 32 stents. Maximum visible in-stent lumen diameter was higher for DLR than for HIR (2.3 ± 0.5 vs 2.1 ± 0.5 mm, p < .001), and among stents without severe misregistration artifact, it was higher for subtraction than conventional DLR (3.0 ± 0.5 vs 2.4 ± 0.5, p < .001). Among conventional CTA with HIR, conventional CTA with DLR, combination (conventional and subtraction) approach with HIR, and combination (conventional and subtraction) approach with DLR, the highest patient-level diagnostic performance measures were as follows: for reader 1, sensitivity was identical (62.5%), specificity was highest for combination with DLR (90.1%), PPV was highest for combination with DLR (71.4%), NPV was highest for combination with DLR (87.0%), and accuracy was highest for combination with DLR (83.3%); for reader 2, sensitivity was identical (50.0%), specificity was highest for combination with HIR or DLR (both 95.5%), PPV was highest for combination with HIR or DLR (both 80.0%), NPV was highest for combination with HIR or DLR (84.0%), and accuracy was highest for combination with HIR or DLR (both 83.3%). CONCLUSION. The combined DLR and subtraction technique yielded optimal diagnostic performance for detecting in-stent restenosis by coronary CTA. CLINICAL IMPACT. The described technique could guide patient selection for invasive coronary stent evaluation.
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Morrone D, Gentile F, Aimo A, Cameli M, Barison A, Picoi ME, Guglielmo M, Villano A, DeVita A, Mandoli GE, Pastore MC, Barillà F, Mancone M, Pedrinelli R, Indolfi C, Filardi PP, Muscoli S, Tritto I, Pizzi C, Camici PG, Marzilli M, Crea F, Caterina RD, Pontone G, Neglia D, Lanza G. Perspectives in noninvasive imaging for chronic coronary syndromes. Int J Cardiol 2022; 365:19-29. [PMID: 35901907 DOI: 10.1016/j.ijcard.2022.07.038] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/05/2022] [Accepted: 07/21/2022] [Indexed: 11/26/2022]
Abstract
Both the latest European guidelines on chronic coronary syndromes and the American guidelines on chest pain have underlined the importance of noninvasive imaging to select patients to be referred to invasive angiography. Nevertheless, although coronary stenosis has long been considered the main determinant of inducible ischemia and symptoms, growing evidence has demonstrated the importance of other underlying mechanisms (e.g., vasospasm, microvascular disease, energetic inefficiency). The search for a pathophysiology-driven treatment of these patients has therefore emerged as an important objective of multimodality imaging, integrating "anatomical" and "functional" information. We here provide an up-to-date guide for the choice and the interpretation of the currently available noninvasive anatomical and/or functional tests, focusing on emerging techniques (e.g., coronary flow velocity reserve, stress-cardiac magnetic resonance, hybrid imaging, functional-coronary computed tomography angiography, etc.), which could provide deeper pathophysiological insights to refine diagnostic and therapeutic pathways in the next future.
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Affiliation(s)
- Doralisa Morrone
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy.
| | - Francesco Gentile
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy
| | - Alberto Aimo
- Fondazione Toscana Gabriele Monasterio, Pisa, Italy; Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Matteo Cameli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | | | - Maria Elena Picoi
- Azienda Tutela Salute Sardegna, Ospedale Giovanni Paolo II, Unità di terapia intensiva Cardiologica, Olbia, Sardegna, Italy
| | - Marco Guglielmo
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan 20138, Italy
| | - Angelo Villano
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Antonio DeVita
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giulia Elena Mandoli
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Maria Concetta Pastore
- Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Siena, Italy
| | - Francesco Barillà
- Dipartimento di Scienze Cliniche, Internistiche, Anestesiologiche e Cardiovascolari, Sapienza Università di Roma, Policlinico Umberto I, Roma, Italy
| | - Massimo Mancone
- Dipartimento di Scienze Cliniche, Internistiche, Anestesiologiche e Cardiovascolari, Sapienza Università di Roma, Policlinico Umberto I, Roma, Italy
| | - Roberto Pedrinelli
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy
| | - Ciro Indolfi
- Istituto di Cardiologia, Dipartimento di Scienze Mediche e Chirurgiche, Università degli Studi "Magna Graecia", Catanzaro - Mediterranea Cardiocentro, Napoli, Italy
| | - Pasquale Perrone Filardi
- Department of Advanced Biomedical Sciences, Federico II University of Naples, Italy, Mediterranea Cardiocentro, Naples, Italy
| | - Saverio Muscoli
- U.O.C. Cardiologia, Fondazione Policlinico "Tor Vergata", Roma, Italy
| | - Isabella Tritto
- Università di Perugia, Dipartimento di Medicina, Sezione di Cardiologia e Fisiopatologia Cardiovascolare, Perugia, Italy
| | - Carmine Pizzi
- Università di Bologna, Alma Mater Studiorum, Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Bologna, Italy
| | - Paolo G Camici
- Vita-Salute University and IRCCS San Raffaele Hospital, Milan, Italy
| | - Mario Marzilli
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy
| | - Filippo Crea
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan 20138, Italy
| | - Raffaele De Caterina
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine-Cardiology Division, University Hospital of Pisa, Italy
| | - Gianluca Pontone
- Department of Cardiovascular Imaging, Centro Cardiologico Monzino, IRCCS, Milan 20138, Italy
| | | | - Gaetano Lanza
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
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Carrabba N, Pontone G, Andreini D, Buffa V, Cademartiri F, Carbone I, Clemente A, Guaricci AI, Guglielmo M, Indolfi C, La Grutta L, Ligabue G, Liguori C, Mercuro G, Mushtaq S, Neglia D, Palmisano A, Sciagrà R, Seitun S, Vignale D, Francone M, Esposito A. Appropriateness criteria for the use of cardiac computed tomography, SIC-SIRM part 2: acute chest pain evaluation; stent and coronary artery bypass graft patency evaluation; planning of coronary revascularization and transcatheter valve procedures; cardiomyopathies, electrophysiological applications, cardiac masses, cardio-oncology and pericardial diseases evaluation. J Cardiovasc Med (Hagerstown) 2022; 23:290-303. [PMID: 35486680 DOI: 10.2459/jcm.0000000000001303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
In the past 20 years, cardiac computed tomography (CCT) has become a pivotal technique for the noninvasive diagnostic workup of coronary and cardiac diseases. Continuous technical and methodological improvements, combined with fast growing scientific evidence, have progressively expanded the clinical role of CCT. Randomized clinical trials documented the value of CCT in increasing the cost-effectiveness of the management of patients with acute chest pain presenting in the emergency department, also during the pandemic. Beyond the evaluation of stents and surgical graft patency, the anatomical and functional coronary imaging have the potential to guide treatment decision-making and planning for complex left main and three-vessel coronary disease. Furthermore, there has been an increasing demand to use CCT for preinterventional planning in minimally invasive procedures, such as transcatheter valve implantation and mitral valve repair. Yet, the use of CCT as a roadmap for tailored electrophysiological procedures has gained increasing importance to assure maximum success. In the meantime, innovations and advanced postprocessing tools have generated new potential applications of CCT from the simple coronary anatomy to the complete assessment of structural, functional and pathophysiological biomarkers of cardiac disease. In this complex and revolutionary scenario, it is urgently needed to provide an updated guide for the appropriate use of CCT in different clinical settings. This manuscript, endorsed by the Italian Society of Cardiology (SIC) and the Italian Society of Medical and Interventional Radiology (SIRM), represents the second of two consensus documents collecting the expert opinion of cardiologists and radiologists about current appropriate use of CCT.
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Affiliation(s)
- Nazario Carrabba
- Department of Cardiothoracovascular Medicine, Azienda Ospedaliero-Universitaria Careggi, Florence
| | | | - Daniele Andreini
- Centro Cardiologico Monzino IRCCS.,Department of Clinical Sciences and Community Health, University of Milan, Milan
| | - Vitaliano Buffa
- Department of Radiology, Azienda Ospedaliera San Camillo Forlanini, Rome
| | | | - Iacopo Carbone
- Department of Radiological, Oncological and Pathological Sciences, 'Sapienza' University of Rome, Rome
| | - Alberto Clemente
- Department of Radiology, CNR (National Council of Research)/Tuscany Region 'Gabriele Monasterio' Foundation (FTGM), Massa
| | - Andrea Igoren Guaricci
- University Cardiology Unit, Cardiothoracic Department, Policlinic University Hospital, Bari
| | | | - Ciro Indolfi
- Department of Medical and Surgical Sciences, Magna Grecia University, Catanzaro
| | - Ludovico La Grutta
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties-ProMISE, University of Palermo
| | - Guido Ligabue
- Department of Medical and Surgical Sciences, Modena and Raggio Emilia University.,Radiology Department, AOU of Modena, Modena
| | - Carlo Liguori
- Radiology Unit, Ospedale del Mare -A.S.L Na1- Centro, Naples
| | - Giuseppe Mercuro
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari
| | | | - Danilo Neglia
- Cardiovascular Department, CNR (National Council of Research)/Tuscany Region 'Gabriele Monasterio' Foundation (FTGM), Pisa
| | - Anna Palmisano
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS Ospedale San Raffaele.,Vita-Salute San Raffaele University, Milan
| | - Roberto Sciagrà
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences 'Mario Serio', University of Florence, Florence
| | - Sara Seitun
- Radiology Department, Ospedale Policlinico San Martino, IRCCS Per L'Oncologia e le Neuroscienze, Genoa, Italy
| | - Davide Vignale
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS Ospedale San Raffaele.,Vita-Salute San Raffaele University, Milan
| | - Marco Francone
- Department of Radiological, Oncological and Pathological Sciences, 'Sapienza' University of Rome, Rome
| | - Antonio Esposito
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS Ospedale San Raffaele.,Vita-Salute San Raffaele University, Milan
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10
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Litmanovich D, Hurwitz Koweek LM, Ghoshhajra BB, Agarwal PP, Bourque JM, Brown RKJ, Davis AM, Fuss C, Johri AM, Kligerman SJ, Malik SB, Maroules CD, Meyersohn NM, Vasu S, Villines TC, Abbara S. ACR Appropriateness Criteria® Chronic Chest Pain-High Probability of Coronary Artery Disease: 2021 Update. J Am Coll Radiol 2022; 19:S1-S18. [PMID: 35550795 DOI: 10.1016/j.jacr.2022.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 02/19/2022] [Indexed: 10/18/2022]
Abstract
Management of patients with chronic chest pain in the setting of high probability of coronary artery disease (CAD) relies heavily on imaging for determining or excluding presence and severity of myocardial ischemia, hibernation, scarring, and/or the presence, site, and severity of obstructive coronary lesions, as well as course of management and long-term prognosis. In patients with no known ischemic heart disease, imaging is valuable in determining and documenting the presence, extent, and severity of obstructive coronary narrowing and presence of myocardial ischemia. In patients with known ischemic heart disease, imaging findings are important in determining the management of patients with chronic myocardial ischemia and can serve as a decision-making tool for medical therapy, angioplasty, stenting, or surgery. This document summarizes the recent growing body of evidence on various imaging tests and makes recommendations for imaging based on the available data and expert opinion. This document is focused on epicardial CAD and does not discuss the microvascular disease as the cause for CAD. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
- Diana Litmanovich
- Harvard Medical School, Boston, Massachusetts; and Chief, Cardiothoracic imaging Section, Beth Israel Deaconess Medical Center.
| | - Lynne M Hurwitz Koweek
- Panel Chair, Duke University Medical Center, Durham, North Carolina; Panel Chair ACR AUG committee
| | - Brian B Ghoshhajra
- Panel Vice-Chair, Division Chief, Cardiovascular Imaging, Radiology, Massachusetts General Hospital, Boston, Massachusetts
| | - Prachi P Agarwal
- Division Director of Cardiothoracic Radiology and Co-Director of Congenital Cardiovascular MR Imaging, University of Michigan, Ann Arbor, Michigan
| | - Jamieson M Bourque
- Medical Director of Nuclear Cardiology and the Stress Laboratory, University of Virginia Health System, Charlottesville, Virginia; Nuclear cardiology expert
| | - Richard K J Brown
- University of Michigan Health System, Ann Arbor, Michigan; and Vice Chair of Clinical Operations, Department of Radiology and Imaging Sciences, University of Utah
| | - Andrew M Davis
- The University of Chicago Medical Center, Chicago, Illinois; American College of Physicians; and Associate Vice-Chair for Quality, Department of Medicine, University of Chicago
| | - Cristina Fuss
- Oregon Health & Science University, Portland, Oregon; SCCT Member of the Board; Section Chief Cardiothoracic Imaging Department of Diagnostic Radiology, Oregon Health & Science University; ABR OLA Cardiac Committee; and NASCI Program Vice-Chair
| | - Amer M Johri
- Queen's University, Kingston, Ontario, Canada; Cardiology Expert; and ASE Board Member
| | | | - Sachin B Malik
- Division Chief Thoracic and Cardiovascular Imaging, Director of Cardiac MRI, Director of MRI, VA Palo Alto Health Care System, Palo Alto, California and Stanford University, Stanford, California
| | | | - Nandini M Meyersohn
- Fellowship Program Director, Massachusetts General Hospital, Boston, Massachusetts
| | - Sujethra Vasu
- Director, Cardiac MRI and Cardiac CT, Wake Forest University Health Sciences, Winston Salem, North Carolina; Society for Cardiovascular Magnetic Resonance
| | - Todd C Villines
- University of Virginia Health Center, Charlottesville, Virginia; Society of Cardiovascular Computed Tomography
| | - Suhny Abbara
- Specialty Chair, UT Southwestern Medical Center, Dallas, Texas
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11
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Soschynski M, Hagar MT, Taron J, Krauss T, Ruile P, Hein M, Nührenberg T, Russe MF, Bamberg F, Schlett CL. Update for the Performance of CT Coronary Angiography. ROFO-FORTSCHR RONTG 2022; 194:613-624. [PMID: 35231938 DOI: 10.1055/a-1747-3554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Coronary CT angiography (cCTA) is a class 1 recommendation in the current guidelines by the European Society of Cardiology (ESC) for excluding significant coronary artery stenosis. To achieve optimal image quality at a low radiation dose, the imaging physician may choose different acquisition modes. Therefore, the consensus guidelines by the Society of Cardiovascular Computed Tomography (SCCT) provide helpful guidance for this procedure. METHOD The article provides practical recommendations for the application and acquisition of cCTA based on the current literature and our own experience. RESULTS AND CONCLUSION According to current ESC guidelines, cCTA is recommended in symptomatic patients with a low or intermediate clinical likelihood for coronary artery disease. We recommend premedication with beta blockers and nitrates prior to CT acquisition under certain conditions even with the latest CT scanner generations. The most current CT scanners offer three possible scan modes for cCTA acquisition. Heart rate is the main factor for selecting the scan mode. Other factors may be coronary calcifications and body mass index (BMI). KEY POINTS · CCTA is a valid method to exclude coronary artery disease in patients with a low to intermediate clinical likelihood.. · Even with the latest generation CT scanners, premedication with beta blockers and nitrates can improve image quality at low radiation exposure.. · Current CT scanners usually provide retrospective ECG gating and prospective ECG triggering. Dual-source scanners additionally provide a "high pitch" scan mode to scan the whole heart during one heartbeat, which may also be achieved using single-source scanners with broad detectors in some cases.. · Besides the available scanner technology, the choice of scan mode primarily depends on heart rate and heart rate variability (e. g., arrhythmia).. CITATION FORMAT · Soschynski M, Hagar MT, Taron J et al. Update for the Performance of CT Coronary Angiography. Fortschr Röntgenstr 2022; DOI: 10.1055/a-1747-3554.
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Affiliation(s)
- Martin Soschynski
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Germany
| | - Muhammad Taha Hagar
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Germany
| | - Jana Taron
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Germany.,Cardiac MR PET CT Program, Massachusetts General-Hospital, Harvard Medical School, Boston, United States
| | - Tobias Krauss
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Germany
| | - Philipp Ruile
- Department of Cardiology & Angiology II, University Heart Center Freiburg-Bad Krozingen, Germany
| | - Manuel Hein
- Department of Cardiology & Angiology II, University Heart Center Freiburg-Bad Krozingen, Germany
| | - Thomas Nührenberg
- Department of Cardiology & Angiology II, University Heart Center Freiburg-Bad Krozingen, Germany
| | - Maximilian Frederik Russe
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Germany
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12
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Muscogiuri G, Guglielmo M, Serra A, Gatti M, Volpato V, Schoepf UJ, Saba L, Cau R, Faletti R, McGill LJ, De Cecco CN, Pontone G, Dell’Aversana S, Sironi S. Multimodality Imaging in Ischemic Chronic Cardiomyopathy. J Imaging 2022; 8:jimaging8020035. [PMID: 35200737 PMCID: PMC8877428 DOI: 10.3390/jimaging8020035] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 01/23/2022] [Accepted: 01/27/2022] [Indexed: 02/01/2023] Open
Abstract
Ischemic chronic cardiomyopathy (ICC) is still one of the most common cardiac diseases leading to the development of myocardial ischemia, infarction, or heart failure. The application of several imaging modalities can provide information regarding coronary anatomy, coronary artery disease, myocardial ischemia and tissue characterization. In particular, coronary computed tomography angiography (CCTA) can provide information regarding coronary plaque stenosis, its composition, and the possible evaluation of myocardial ischemia using fractional flow reserve CT or CT perfusion. Cardiac magnetic resonance (CMR) can be used to evaluate cardiac function as well as the presence of ischemia. In addition, CMR can be used to characterize the myocardial tissue of hibernated or infarcted myocardium. Echocardiography is the most widely used technique to achieve information regarding function and myocardial wall motion abnormalities during myocardial ischemia. Nuclear medicine can be used to evaluate perfusion in both qualitative and quantitative assessment. In this review we aim to provide an overview regarding the different noninvasive imaging techniques for the evaluation of ICC, providing information ranging from the anatomical assessment of coronary artery arteries to the assessment of ischemic myocardium and myocardial infarction. In particular this review is going to show the different noninvasive approaches based on the specific clinical history of patients with ICC.
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Affiliation(s)
- Giuseppe Muscogiuri
- Department of Radiology, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy
- Correspondence: ; Tel.: +39-329-404-9840
| | - Marco Guglielmo
- Department of Cardiology, Division of Heart and Lungs, Utrecht University, Utrecht University Medical Center, 3584 Utrecht, The Netherlands;
| | - Alessandra Serra
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09042 Cagliari, Italy; (A.S.); (L.S.); (R.C.)
| | - Marco Gatti
- Radiology Unit, Department of Surgical Sciences, University of Turin, 10124 Turin, Italy; (M.G.); (R.F.)
| | - Valentina Volpato
- Department of Cardiac, Neurological and Metabolic Sciences, Istituto Auxologico Italiano IRCCS, San Luca Hospital, University Milano Bicocca, 20149 Milan, Italy;
| | - Uwe Joseph Schoepf
- Department of Radiology and Radiological Science, MUSC Ashley River Tower, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA; (U.J.S.); (L.J.M.)
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09042 Cagliari, Italy; (A.S.); (L.S.); (R.C.)
| | - Riccardo Cau
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari-Polo di Monserrato, 09042 Cagliari, Italy; (A.S.); (L.S.); (R.C.)
| | - Riccardo Faletti
- Radiology Unit, Department of Surgical Sciences, University of Turin, 10124 Turin, Italy; (M.G.); (R.F.)
| | - Liam J. McGill
- Department of Radiology and Radiological Science, MUSC Ashley River Tower, Medical University of South Carolina, 25 Courtenay Dr, Charleston, SC 29425, USA; (U.J.S.); (L.J.M.)
| | - Carlo Nicola De Cecco
- Division of Cardiothoracic Imaging, Nuclear Medicine and Molecular Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA 30322, USA;
| | | | - Serena Dell’Aversana
- Department of Radiology, Ospedale S. Maria Delle Grazie—ASL Napoli 2 Nord, 80078 Pozzuoli, Italy;
| | - Sandro Sironi
- School of Medicine and Post Graduate School of Diagnostic Radiology, University of Milano-Bicocca, 20126 Milan, Italy;
- Department of Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
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13
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Computed tomography of coronary artery atherosclerosis: A review. J Med Imaging Radiat Sci 2021; 52:S19-S39. [PMID: 34479831 DOI: 10.1016/j.jmir.2021.08.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/29/2021] [Accepted: 08/06/2021] [Indexed: 11/23/2022]
Abstract
Coronary artery atherosclerosis resulting in ischemic cardiac disease is the leading cause of mortality in the United States. In symptomatic patients, invasive diagnostic methods like catheter angiography, intravascular ultrasound, or vascular endoscopy may be used. However, for primary prevention of atherosclerotic coronary artery disease in asymptomatic patients, non-invasive methods are more commonly utilized like stress imaging, single-photon emission computed tomography (SPECT) and coronary artery calcification scoring. Coronary computed tomographic angiography (CCTA) is an excellent diagnostic tool for detection of coronary artery plaque and ability to identify resultant stenoses with an excellent negative predictive value which can potentially result in optimal exclusion of the presence of coronary artery disease. Long term follow up after a negative CCTA has repeatedly demonstrated very low incidence of future adverse coronary events, attesting its predictive value. CCTA based management is associated with improved CAD outcome in stable angina. Coronary CTA is valuable in acute chest pain evaluation in the emergency department helping in better triage. CT perfusion and CT-FFR are both very promising tools for assessment of hemodynamic significance of coronary artery stenosis.
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14
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Soschynski M, Taron J, Schlett CL, Bamberg F, Krauß T. Update Kardio-CT – mehr als nur anatomische Bildgebung? Radiologe 2020; 60:1131-1141. [DOI: 10.1007/s00117-020-00767-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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15
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Sun Z. 3D Printed Coronary Models Offer Potential Value in Visualising Coronary Anatomy and Coronary Stents for Investigation of Coronary CT Protocols. Curr Med Imaging 2020; 16:625-628. [PMID: 32723233 DOI: 10.2174/157340561606200523215058] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Affiliation(s)
- Zhonghua Sun
- Discipline of Medical Radiation Sciences Curtin University Perth, Australia
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16
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Andreini D, Conte E, Mushtaq S, Pontone G, Guglielmo M, Baggiano A, Annoni A, Mancini ME, Formenti A, Nicoli F, Tanzilli A, Muscogiuri G, Magini A, Agostoni P, Bartorelli AL, Fiorentini C, Pepi M. Rationale and design of the EPLURIBUS Study (Evidence for a comPrehensive evaLUation of left ventRicle dysfnctIon By a whole-heart coverage cardiac compUted tomography Scanner). J Cardiovasc Med (Hagerstown) 2020; 21:812-819. [DOI: 10.2459/jcm.0000000000001051] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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17
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May LA, More SR, Masand PM, Ketwaroo PD, Krishnamurthy R, Jadhav SP. Value of emergent pediatric cardiac computed tomographic angiography service: initial experience at a large children's hospital. Pediatr Radiol 2020; 50:1095-1101. [PMID: 32242280 DOI: 10.1007/s00247-020-04659-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 02/19/2020] [Accepted: 03/10/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Demand for pediatric cardiac computed tomography (CT) angiography is increasing due to recent advances that reduce the need for sedation and radiation exposure while enhancing diagnostic accuracy. This has resulted in the increasing use of cardiac CT angiography emergently during weekends and after hours. The unexpected demand for these services can be challenging, as most hospitals are not staffed to provide 24/7 pediatric cardiovascular imaging. OBJECTIVE To describe a large single-center experience of providing emergent cardiac CT angiography services in children. MATERIALS AND METHODS We identified all patients who underwent after--hours weekday and weekend emergent cardiac CT angiography between January 2017 and August 2018. Cardiac CT angiography in the settings of congenital heart disease and coronary imaging were included. Data collected included day and time of cardiac CT angiography, patient age, referral unit, indication, surgical history, need for sedation, need for surgery, intervention and/or change in medical management based on the cardiac CT angiography. RESULTS Forty-seven studies were identified, 26 (55%) of which were performed on a weekend or holiday and 21 (45%) after 5 p.m. on a weekday. Based on cardiac CT angiography findings, 20 (43%) patients underwent either surgery or an interventional procedure, and 9 (19%) had a change in medical management. The time between cardiac CT angiography and the related surgery/intervention ranged from 0 to 29 days with a median of 3.5 days. CONCLUSION Emergent pediatric cardiac CT angiography is a valuable service. Larger multi-institutional studies with standardized referral and utilization patterns are needed to determine if outcomes are affected by this service, which in turn will influence hospital staffing patterns for emergent imaging.
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Affiliation(s)
- Lauren A May
- Edward B. Singleton Department of Pediatric Radiology, Texas Children's Hospital, 6701 Fannin St., Suite 470, Houston, TX, 77030, USA.,Department of Radiology, San Antonio Military Medical Center, Fort Sam, Houston, TX, USA
| | - Snehal R More
- Virtual Radiologic Corporation, Eden Prairie, MN, USA
| | - Prakash M Masand
- Edward B. Singleton Department of Pediatric Radiology, Texas Children's Hospital, 6701 Fannin St., Suite 470, Houston, TX, 77030, USA
| | - Pamela D Ketwaroo
- Edward B. Singleton Department of Pediatric Radiology, Texas Children's Hospital, 6701 Fannin St., Suite 470, Houston, TX, 77030, USA
| | | | - Siddharth P Jadhav
- Edward B. Singleton Department of Pediatric Radiology, Texas Children's Hospital, 6701 Fannin St., Suite 470, Houston, TX, 77030, USA.
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18
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Concomitant screening of coronary artery disease and lung cancer with a new ultrafast-low-dose Computed Tomography protocol: A pilot randomised trial. Sci Rep 2019; 9:13872. [PMID: 31554878 PMCID: PMC6761135 DOI: 10.1038/s41598-019-50407-6] [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: 02/04/2019] [Accepted: 09/09/2019] [Indexed: 12/17/2022] Open
Abstract
We performed a pilot randomised study to assess the feasibility and radiation exposure of a new computed tomography (CT) protocol that allows screening of both coronary artery disease (CAD) and lung cancer. Current or former heavy smokers at high lung cancer risk with indication to cardiac CT for suspected or known CAD were randomised to undergo concomitant CT evaluation of either cardiac or thoracic area or cardiac CT only. Out of 129 subjects deemed eligible for the study, 110 agreed to participate and were randomised to simultaneous cardiac and lung CT (Gr.A; n = 55) or cardiac CT only (Gr.B; n = 55). The feasibility (i.e. adequate visualization of coronary artery segments) was noninferior with simultaneous cardiac and lung CT compared with the standard cardiac CT (870 of 889 segments [97%] in Gr.A vs 878/890 segments [99%] in Gr.B; mean difference 2.0% [90% confidence interval: -0.3% to 4.1%]). The safety (i.e. effective radiation dose) of the concomitant cardiac and lung CT protocol was noninferior to the standard cardiac CT (1.5 [95% confidence intervals: 1.2-1.7] vs. 1.4 [95% confidence intervals: 1.1-1.6] mSv; mean difference 0.1 mSv [90% confidence interval: -0.2 to 0.3 mSv]). In the two groups, a total of 25 significant (>70%) coronary stenoses were found at cardiac CT (9/55 cases of Gr.A vs 11/55 cases of Gr.B). Pulmonary nodules >2 mm were detected in 7 of the 55 Gr.A subjects. This pilot randomised study shows that concomitant CAD and lung cancer screening by means of a new CT protocol is both feasible and safe, thus allowing a comprehensive evaluation of both cardiac and thoracic regions during one CT scanning only. (ClinicalTrials.gov Identifier: NCT03727958).
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19
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Abstract
Background 3D printing has shown great promise in cardiovascular disease, with reports mainly focusing on pre-surgical planning and medical education. Research on utilization of 3D printed models in simulating coronary stenting has not been reported. In this study, we presented our experience of placing coronary stents into personalized 3D printed coronary models with the aim of determining stent lumen visibility with images reconstructed with different postprocessing views and algorithms. Methods A total of six coronary stents with diameter ranging from 2.5 to 4.0 mm were placed into 3 patient-specific 3D printed coronary models for simulation of coronary stenting. The 3D printed models were placed in a plastic container and scanned on a 192-slice third generation dual-source CT scanner with images reconstructed with soft (Bv36) and sharp (Bv59) kernel algorithms. Thick and thin slab maximum-intensity projection (MIP) images were also generated from the original CT data for comparison of stent lumen visibility. Stent lumen diameter was measured on 2D axial and MIP images, while stent diameter was measured on 3D volume rendering images. 3D virtual intravascular endoscopy (VIE) images were generated to provide intraluminal views of the coronary wall and stent appearances. Results All of these stents were successfully placed into the right and left coronary arteries but 2 of them did not obtain wall apposition along the complete length. The stent lumen visibility ranged from 54 to 97%, depending on the stent location in the coronary arteries. The mean stent lumen diameters measured on 2D axial, thin and thick slab MIP images were found to be significantly smaller than the actual size (P<0.01). Thick slab MIP images resulted in measured stent lumen diameters smaller than those from thin slab MIP images, with significant differences noticed in most of the measurements (4 out of 6 stents) (P<0.05), and no significant differences in the remaining 2 stents (P=0.19-0.38). In contrast, 3D volume rendering images allowed for more accurate measurements with measured stent diameters close to the actual dimensions in most of these coronary stents, except for the stent placed at the right coronary artery in one of the models due to insufficient expansion of the stent. Images reconstructed with sharp kernel Bv59 significantly improved stent lumen visibility when compared to the smooth Bv36 kernel (P=0.01). 3D VIE was successfully generated in all of the datasets with clear visualization of intraluminal views of the stents in relation to the coronary wall. Conclusions This preliminary report shows the feasibility of using 3D printed coronary artery models in coronary stenting for investigation of optimal coronary CT angiography protocols. Future studies should focus on placement of more stents with a range of stent diameters in the quest to reduce the need for invasive angiography for surveillance.
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Affiliation(s)
- Zhonghua Sun
- Discipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, 6845, Australia
| | - Shirley Jansen
- Department of Vascular and Endovascular Surgery, Sir Charles Gairdner Hospital, Perth, Western Australia 6009, Australia.,Curtin Medical School, Curtin University, Perth, Western Australia 6845, Australia.,Faculty of Health and Medical Sciences, University of Western Australia, Crawley, Western Australia 6009, Australia.,Heart and Vascular Research Institute, Harry Perkins Institute for Medical Research, Perth, Western Australia 6009, Australia
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20
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Zheng T, Yang J, Yang J, Liu XW, Yang Y, Li Q. The novel whole-organ high-definition CT scanner: A promising diagnostic method for coronary stented patients with unfavorable HR. Int J Cardiol 2019; 282:110. [PMID: 30851942 DOI: 10.1016/j.ijcard.2019.01.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 01/07/2019] [Accepted: 01/16/2019] [Indexed: 11/19/2022]
Affiliation(s)
- Tao Zheng
- Department of Cardiology, The First College of Clinical Medical Sciences, China Three Gorges University, Yichang 443000, Hubei Province, China
| | - Jun Yang
- Department of Cardiology, The First College of Clinical Medical Sciences, China Three Gorges University, Yichang 443000, Hubei Province, China.
| | - Jian Yang
- Department of Cardiology, The First College of Clinical Medical Sciences, China Three Gorges University, Yichang 443000, Hubei Province, China
| | - Xiao-Wen Liu
- Department of Cardiology, The First College of Clinical Medical Sciences, China Three Gorges University, Yichang 443000, Hubei Province, China
| | - Ying Yang
- Department of Cardiology, The First College of Clinical Medical Sciences, China Three Gorges University, Yichang 443000, Hubei Province, China
| | - Qi Li
- Department of Cardiology, The First College of Clinical Medical Sciences, China Three Gorges University, Yichang 443000, Hubei Province, China
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Jubran A, Willemink MJ, Nieman K. Coronary CT in Patients with a History of PCI or CABG: Helpful or Harmful? CURRENT CARDIOVASCULAR IMAGING REPORTS 2019. [DOI: 10.1007/s12410-019-9496-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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