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Zhang F, Yao H, Langzam E, Meng Q, Meng X, van der Geest RJ, Luo C, Zhang T, Li J, Xiong J, Deng W, Chen K, Zheng Y, Wu J, Cui F, Yang L. Detectability of intracranial vessel wall atherosclerosis using black-blood spectral CT: a phantom and clinical study. Eur Radiol Exp 2024; 8:78. [PMID: 38955951 PMCID: PMC11219652 DOI: 10.1186/s41747-024-00473-x] [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: 12/07/2023] [Accepted: 04/29/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Computed tomography (CT) is the usual modality for diagnosing stroke, but conventional CT angiography reconstructions have limitations. METHODS A phantom with tubes of known diameters and wall thickness was scanned for wall detectability, wall thickness, and contrast-to-noise ratio (CNR) on conventional and spectral black-blood (SBB) images. The clinical study included 34 stroke patients. Diagnostic certainty and conspicuity of normal/abnormal intracranial vessels using SBB were compared to conventional. Sensitivity/specificity/accuracy of SBB and conventional were compared for plaque detectability. CNR of the wall/lumen and quantitative comparison of remodeling index, plaque burden, and eccentricity were obtained for SBB imaging and high-resolution magnetic resonance imaging (hrMRI). RESULTS The phantom study showed improved detectability of tube walls using SBB (108/108, 100% versus conventional 81/108, 75%, p < 0.001). CNRs were 75.9 ± 62.6 (mean ± standard deviation) for wall/lumen and 22.0 ± 17.1 for wall/water using SBB and 26.4 ± 15.3 and 101.6 ± 62.5 using conventional. Clinical study demonstrated (i) improved certainty and conspicuity of the vessels using SBB versus conventional (certainty, median score 3 versus 0; conspicuity, median score 3 versus 1 (p < 0.001)), (ii) improved sensitivity/specificity/accuracy of plaque (≥ 1.0 mm) detectability (0.944/0.981/0.962 versus 0.239/0.743/0.495) (p < 0.001), (iii) higher wall/lumen CNR of SBB of (78.3 ± 50.4/79.3 ± 96.7) versus hrMRI (18.9 ± 8.4/24.1 ± 14.1) (p < 0.001), and (iv) excellent reproducibility of remodeling index, plaque burden, and eccentricity using SBB versus hrMRI (intraclass correlation coefficient 0.85-0.94). CONCLUSIONS SBB can enhance the detectability of intracranial plaques with an accuracy similar to that of hrMRI. RELEVANCE STATEMENT This new spectral black-blood technique for the detection and characterization of intracranial vessel atherosclerotic disease could be a time-saving and cost-effective diagnostic step for clinical stroke patients. It may also facilitate prevention strategies for atherosclerosis. KEY POINTS • Blooming artifacts can blur vessel wall morphology on conventional CT angiography. • Spectral black-blood (SBB) images are generated from material decomposition from spectral CT. • SBB images reduce blooming artifacts and noise and accurately detect small plaques.
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Affiliation(s)
- Fan Zhang
- Department of Radiology, Hainan Hospital of Chinese PLA General Hospital, Jianglin Road, Haitang District, Sanya, Hainan Province, 572013, China.
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong Province, China.
| | - Hui Yao
- Philips CT Clinical Science, Philips Healthcare Global, Beijing, China
| | | | - Qinglin Meng
- Department of Radiology, Hainan Hospital of Chinese PLA General Hospital, Jianglin Road, Haitang District, Sanya, Hainan Province, 572013, China
| | - Xiao Meng
- School of Health Industry Management, University of Sanya, Sanya, Hainan Province, China
| | - Rob J van der Geest
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Chuncai Luo
- Department of Radiology, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Tengyuan Zhang
- Department of Neurology, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan Province, China
| | - Jianyong Li
- Department of Neurology, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan Province, China
| | - Jianmei Xiong
- Department of Neurology, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan Province, China
| | | | - Ke Chen
- Philips Healthcare China, Shanghai, China
| | - Yangrui Zheng
- Department of Neurosurgery, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan Province, China
| | - Jingping Wu
- Department of Radiology, Hainan Hospital of Chinese PLA General Hospital, Jianglin Road, Haitang District, Sanya, Hainan Province, 572013, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong Province, China
| | - Fang Cui
- Department of Neurology, Hainan Hospital of Chinese PLA General Hospital, Sanya, Hainan Province, China
| | - Li Yang
- Department of Radiology, The Second Medical Center of Chinese PLA General Hospital, Beijing, China
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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 PMCID: PMC11213791 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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Ryu JK, Kim KH, Otgonbaatar C, Kim DS, Shim H, Seo JW. Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography. Br J Radiol 2024; 97:1286-1294. [PMID: 38733576 PMCID: PMC11186566 DOI: 10.1093/bjr/tqae094] [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: 10/10/2023] [Revised: 02/27/2024] [Accepted: 05/04/2024] [Indexed: 05/13/2024] Open
Abstract
OBJECTIVES This study aimed to assess the impact of super-resolution deep learning reconstruction (SR-DLR) on coronary CT angiography (CCTA) image quality and blooming artifacts from coronary artery stents in comparison to conventional methods, including hybrid iterative reconstruction (HIR) and deep learning-based reconstruction (DLR). METHODS A retrospective analysis included 66 CCTA patients from July to November 2022. Major coronary arteries were evaluated for image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). Stent sharpness was quantified using 10%-90% edge rise slope (ERS) and 10%-90% edge rise distance (ERD). Qualitative analysis employed a 5-point scoring system to assess overall image quality, image noise, vessel wall, and stent structure. RESULTS SR-DLR demonstrated significantly lower image noise compared to HIR and DLR. SNR and CNR were notably higher in SR-DLR. Stent ERS was significantly improved in SR-DLR, with mean ERD values of 0.70 ± 0.20 mm for SR-DLR, 1.13 ± 0.28 mm for HIR, and 0.85 ± 0.26 mm for DLR. Qualitatively, SR-DLR scored higher in all categories. CONCLUSIONS SR-DLR produces images with lower image noise, leading to improved overall image quality, compared with HIR and DLR. SR-DLR is a valuable image reconstruction algorithm for enhancing the spatial resolution and sharpness of coronary artery stents without being constrained by hardware limitations. ADVANCES IN KNOWLEDGE The overall image quality was significantly higher in SR-DLR, resulting in sharper coronary artery stents compared to HIR and DLR.
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Affiliation(s)
- Jae-Kyun Ryu
- Medical Imaging AI Research Center, Canon Medical Systems Korea, Seoul, Republic of Korea
| | - Ki Hwan Kim
- Department of Radiology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Republic of Korea
| | | | - Da Som Kim
- Department of Radiology, Inje University Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Hackjoon Shim
- Medical Imaging AI Research Center, Canon Medical Systems Korea, Seoul, Republic of Korea
- ConnectAI Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jung Wook Seo
- Department of Radiology, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Republic of Korea
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Serruys PW, Kageyama S, Pompilio G, Andreini D, Pontone G, Mushtaq S, La Meir M, De Mey J, Tanaka K, Doenst T, Teichgräber U, Schneider U, Puskas JD, Narula J, Gupta H, Agarwal V, Leipsic J, Masuda S, Kotoku N, Tsai TY, Garg S, Morel MA, Onuma Y. Coronary bypass surgery guided by computed tomography in a low-risk population. Eur Heart J 2024; 45:1804-1815. [PMID: 38583086 PMCID: PMC11129794 DOI: 10.1093/eurheartj/ehae199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 02/22/2024] [Accepted: 03/18/2024] [Indexed: 04/08/2024] Open
Abstract
BACKGROUND AND AIMS In patients with three-vessel disease and/or left main disease, selecting revascularization strategy based on coronary computed tomography angiography (CCTA) has a high level of virtual agreement with treatment decisions based on invasive coronary angiography (ICA). METHODS In this study, coronary artery bypass grafting (CABG) procedures were planned based on CCTA without knowledge of ICA. The CABG strategy was recommended by a central core laboratory assessing the anatomy and functionality of the coronary circulation. The primary feasibility endpoint was the percentage of operations performed without access to the ICA. The primary safety endpoint was graft patency on 30-day follow-up CCTA. Secondary endpoints included topographical adequacy of grafting, major adverse cardiac and cerebrovascular (MACCE), and major bleeding events at 30 days. The study was considered positive if the lower boundary of confidence intervals (CI) for feasibility was ≥75% (NCT04142021). RESULTS The study enrolled 114 patients with a mean (standard deviation) anatomical SYNTAX score and Society of Thoracic Surgery score of 43.6 (15.3) and 0.81 (0.63), respectively. Unblinding ICA was required in one case yielding a feasibility of 99.1% (95% CI 95.2%-100%). The concordance and agreement in revascularization planning between the ICA- and CCTA-Heart Teams was 82.9% with a moderate kappa of 0.58 (95% CI 0.50-0.66) and between the CCTA-Heart Team and actual treatment was 83.7% with a substantial kappa of 0.61 (95% CI 0.53-0.68). The 30-day follow-up CCTA in 102 patients (91.9%) showed an anastomosis patency rate of 92.6%, whilst MACCE was 7.2% and major bleeding 2.7%. CONCLUSIONS CABG guided by CCTA is feasible and has an acceptable safety profile in a selected population of complex coronary artery disease.
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Affiliation(s)
- Patrick W Serruys
- CORRIB Research Centre for Advanced Imaging and Core Lab, University of Galway, University Road, Galway H91 TK33, Ireland
| | - Shigetaka Kageyama
- CORRIB Research Centre for Advanced Imaging and Core Lab, University of Galway, University Road, Galway H91 TK33, Ireland
| | - Giulio Pompilio
- Centro Cardiologico Monzino, IRCCS, Monzino, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milano, Italy
| | - Daniele Andreini
- Division of Cardiology and Cardiac Imaging, IRCCS Galeazzi Sant’Ambrogio, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milano, Italy
| | | | | | - Mark La Meir
- Department of Cardiac Surgery, Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | - Johan De Mey
- Department of Radiology, Universitair Ziekenhuis Brussel, VUB, Brussels, Belgium
| | - Kaoru Tanaka
- Department of Radiology, University Hospital Brussels, Brussels, Belgium
| | - Torsten Doenst
- Department of Cardiothoracic Surgery, University Hospital Jena, Jena, Germany
| | - Ulf Teichgräber
- Department of Radiology, University Hospital Jena, Jena, Germany
| | - Ulrich Schneider
- Department of Cardiothoracic Surgery, University Hospital Jena, Jena, Germany
| | - John D Puskas
- Department of Cardiovascular Surgery, Mount Sinai Morningside, New York, NY, USA
| | - Jagat Narula
- University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Himanshu Gupta
- Department of Radiology, The Valley Hospital, Ridgewood, NJ, USA
| | - Vikram Agarwal
- Department of Cardiovascular Surgery, Mount Sinai Morningside, New York, NY, USA
| | - Jonathon Leipsic
- St. Paul’s Hospital, University of British Columbia, Vancouver, BC, Canada
| | - Shinichiro Masuda
- CORRIB Research Centre for Advanced Imaging and Core Lab, University of Galway, University Road, Galway H91 TK33, Ireland
| | - Nozomi Kotoku
- CORRIB Research Centre for Advanced Imaging and Core Lab, University of Galway, University Road, Galway H91 TK33, Ireland
| | - Tsung-Ying Tsai
- CORRIB Research Centre for Advanced Imaging and Core Lab, University of Galway, University Road, Galway H91 TK33, Ireland
| | - Scot Garg
- Department of Cardiology, Royal Blackburn Hospital, Blackburn, UK
| | - Marie-Angele Morel
- CORRIB Research Centre for Advanced Imaging and Core Lab, University of Galway, University Road, Galway H91 TK33, Ireland
| | - Yoshinobu Onuma
- CORRIB Research Centre for Advanced Imaging and Core Lab, University of Galway, University Road, Galway H91 TK33, Ireland
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Kuo HY, Lin KL, Hsu CY, Fu PS, Hung CC, Song SJ. Volumetric analysis of artifacts from fiducial markers under cone beam computed tomography. J Dent Sci 2024; 19:1004-1011. [PMID: 38618050 PMCID: PMC11010787 DOI: 10.1016/j.jds.2023.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 06/30/2023] [Indexed: 04/16/2024] Open
Abstract
Abstract Background/purpose Computer aided implant surgery has been widely adopted in modern implant dentistry. However, absence of reliable anatomic landmarks for superimposing digital data sets for patients with terminal dentition or complete edentulism remained challenging. Utilization of additional fiducial markers intraorally as the reference points for the improvement of accuracy became crucial in implant digital workflow. Nevertheless, the choice of the material for fiducial markers should present the least radiographic artifacts under cone beam computed tomography (CBCT) for better accuracy. The aim of this in vitro study was to investigate the volume of radiographic artifacts generated through different materials under the image of CBCT. Materials and methods Fifteen dental materials were selected and configured into cubic shape. All the materials were scanned initially with the laboratory scanner as the control groups. The samples were scanned by CBCT machine as test groups and the volume of artifact generated under CBCT images were compared and analyzed using 3D modeling software. Results Eleven out of fifteen materials could be recognized under CBCT images. Volumetric analysis reported that statistically significant differences among the materials could be noted, and the flowable composite resin presented the least volumetric difference. Lithium disilicate glass-ceramic, flowable composite resin, and gutta-percha presented the least deformation and maintained their cubic shapes. Conclusion The results of the present study may imply that flowable composite resin compared to all ceramic materials, amalgam and gutta-percha may be a preferable choice when utilized as fiducial markers under CBCT images.
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Affiliation(s)
- Hsin-Yu Kuo
- School of Dentistry, Chung Shan Medical University, Taichung, Taiwan
| | - Kuan-Ling Lin
- Division of Prosthodontics, Department of Dentistry, Taipei Medical University Hospital, Taipei, Taiwan
| | - Ching-Ying Hsu
- Division of Prosthodontics, Department of Dentistry, Taipei Medical University Hospital, Taipei, Taiwan
| | - Po-Sung Fu
- Department of Dentistry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- School of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chun-Cheng Hung
- Department of Dentistry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- School of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Seung Jun Song
- Division of Prosthodontics, College of Dental Medicine, Columbia University, New York, USA
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Groen RA, Jukema JW, van Dijkman PRM, Bax JJ, Lamb HJ, Antoni ML, de Graaf MA. The Clear Value of Coronary Artery Calcification Evaluation on Non-Gated Chest Computed Tomography for Cardiac Risk Stratification. Cardiol Ther 2024; 13:69-87. [PMID: 38349434 PMCID: PMC10899125 DOI: 10.1007/s40119-024-00354-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/16/2024] [Indexed: 02/29/2024] Open
Abstract
To enhance risk stratification in patients suspected of coronary artery disease, the assessment of coronary artery calcium (CAC) could be incorporated, especially when CAC can be readily assessed on previously performed non-gated chest computed tomography (CT). Guidelines recommend reporting on patients' extent of CAC on these non-cardiac directed exams and various studies have shown the diagnostic and prognostic value. However, this method is still little applied, and no current consensus exists in clinical practice. This review aims to point out the clinical utility of different kinds of CAC assessment on non-gated CTs. It demonstrates that these scans indeed represent a merely untapped and underestimated resource for risk stratification in patients with stable chest pain or an increased risk of cardiovascular events. To our knowledge, this is the first review to describe the clinical utility of different kinds of visual CAC evaluation on non-gated unenhanced chest CT. Various methods of CAC assessment on non-gated CT are discussed and compared in terms of diagnostic and prognostic value. Furthermore, the application of these non-gated CT scans in the general practice of cardiology is discussed. The clinical utility of coronary calcium assessed on non-gated chest CT, according to the current literature, is evident. This resource of information for cardiac risk stratification needs no specific requirements for scan protocol, and is radiation-free and cost-free. However, some gaps in research remain. In conclusion, the integration of CAC on non-gated chest CT in general cardiology should be promoted and research on this method should be encouraged.
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Affiliation(s)
- Roos A Groen
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands.
- Netherlands Heart Institute, Utrecht, The Netherlands.
| | - Paul R M van Dijkman
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
| | - Jeroen J Bax
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
| | - Hildo J Lamb
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
| | - M Louisa Antoni
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
| | - Michiel A de Graaf
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands
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Lee YS, Park EA, Lee W. [Coronary CT Angiography-Based Assessment of Coronary in-Stent Restenosis: A Journey through Past and Present Trends]. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2024; 85:258-269. [PMID: 38617849 PMCID: PMC11009134 DOI: 10.3348/jksr.2024.0026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 03/08/2024] [Indexed: 04/16/2024]
Abstract
Treatment of patients with coronary artery disease commonly involves the use of balloon-expandable stent placements, currently recognized as the most prevalent approach for coronary artery revascularization. Nevertheless, the occurrence of restenosis remains a significant complication following percutaneous coronary interventions. The diagnostic role of coronary CT angiography (CCTA) in detecting stent restenosis has limitations primarily attributable to challenges in accurately discerning the lumen, due to issues such as blooming and motion artifacts. As a result, many cases often necessitate a transition to conventional coronary angiography. However, recent advancements in CT technology have led to notable improvements in both sensitivity and specificity, underscoring the growing significance of CCTA as a diagnostic tool. The consistent reporting of high negative predictive value is particularly noteworthy. This review aims to explore the historical context, current status, and recent trends in diagnosing coronary artery stent restenosis using CCTA.
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Kang DK. [Assessment of Coronary Stenosis Using Coronary CT Angiography in Patients with High Calcium Scores: Current Limitations and Future Perspectives]. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2024; 85:270-296. [PMID: 38617859 PMCID: PMC11009141 DOI: 10.3348/jksr.2023.0134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 02/17/2024] [Accepted: 03/07/2024] [Indexed: 04/16/2024]
Abstract
Coronary CT angiography (CCTA) is recognized for its role as a gatekeeper for invasive coronary angiography in patients suspected of coronary artery disease because it can detect significant coronary stenosis with high accuracy. However, heavy plaque in the coronary artery makes it difficult to visualize the lumen, which can lead to errors in the interpretation of the CCTA results. This is primarily due to the limited spatial resolution of CT scanners, resulting in blooming artifacts caused by calcium. However, coronary stenosis with high calcium scores often requires evaluation using CCTA. Technological methods to overcome these limitations include the introduction of high-resolution CT scanners, the development of reconstruction techniques, and the subtraction technique. Methods to improve reading ability, such as the setting of appropriate window width and height, and evaluation of the position of calcified plaque and residual visibility of the lumen in cross-sectional images, are also recommended.
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Lucca LV, Cascante-Sequeira D, Coelho-Silva F, Ruiz-Imbert AC, Freitas DQ, Haiter-Neto F, de-Azevedo-Vaz SL. The effect of voxel and field of view size on the volumetric alteration artifact of high-density materials with 2 cone beam computed tomography devices. Oral Surg Oral Med Oral Pathol Oral Radiol 2024; 137:290-300. [PMID: 37980244 DOI: 10.1016/j.oooo.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 09/28/2023] [Accepted: 10/07/2023] [Indexed: 11/20/2023]
Abstract
OBJECTIVE We investigated the influence of voxel and field of view (FOV) sizes on expression of the volumetric alteration artifact (VAA) of 5 high-density materials in 2 cone beam computed tomography (CBCT) devices. STUDY DESIGN Cylinders of amalgam, cobalt-chromium, gutta-percha, titanium, and zirconium were individually positioned in a polymethyl methacrylate phantom. OP300 Maxio and ProMax 3D Classic CBCT devices were used to acquire images with varying voxel and FOV sizes, totaling 585 scans. Two evaluators segmented the high-density cylinder images to obtain the tomographic volumes. The difference between the tomographic and physical volume of each cylinder (i.e., volumetric alteration) was calculated. Statistical analysis was conducted with multiway ANOVA and the Tukey post hoc test (α = 5%). Evaluator reliability was measured with the intraclass correlation coefficient (ICC). RESULTS All studied parameters and nearly all interactions influenced the VAA (P < .05). The post hoc test demonstrated less volumetric alteration for the smallest voxel sizes, 61 × 78 mm FOV, and gutta-percha for OP300, and for the smallest voxel sizes, 80 × 80 mm FOV, and gutta-percha and titanium for ProMax 3D (P < .05). The ICC demonstrated perfect reliability (1.00). CONCLUSIONS Voxel and FOV sizes influenced VAA expression. Using smaller voxel sizes, the 61 × 78 mm FOV for OP300 and the 80 × 80 mm FOV for ProMax 3D, and materials with lower density and lower atomic number reduced VAA expression.
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Affiliation(s)
- Luiza Valdemarca Lucca
- Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil.
| | - Deivi Cascante-Sequeira
- Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil
| | - Fernanda Coelho-Silva
- Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil
| | - Ana Cecilia Ruiz-Imbert
- Department of Diagnostic Sciences, Oral Radiology Section, Dentistry Faculty, Universidad de Costa Rica, San José, Costa Rica
| | - Deborah Queiroz Freitas
- Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil
| | - Francisco Haiter-Neto
- Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil
| | - Sergio Lins de-Azevedo-Vaz
- Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, Brazil; Department of Clinical Dentistry, Federal University of Espírito Santo, Espírito Santo, Brazil
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10
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Tian X, Chen Y, Pan S, Lan H, Cheng L. Enhanced in-stent luminal visualization and restenosis diagnosis in coronary computed tomography angiography via coronary stent decomposition algorithm from dual-energy image. Comput Biol Med 2024; 171:108128. [PMID: 38342047 DOI: 10.1016/j.compbiomed.2024.108128] [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: 11/30/2023] [Revised: 01/17/2024] [Accepted: 02/06/2024] [Indexed: 02/13/2024]
Abstract
Stent implantation is a principal therapeutic approach for coronary artery diseases. Nonetheless, the presence of stents significantly interferes with in-stent luminal (ISL) visualization and complicates the diagnosis of in-stent restenosis (ISR), thereby increasing the risk of misdiagnoses and underdiagnoses in coronary computed tomography angiography (CCTA). Dual-energy (DE) CT could calculate the volume fraction for voxels from low- and high-energy images (LHEI) and provide information on specific three basic materials. In this study, the innovative coronary stent decomposition algorithm (CSDA) was developed from the DECT three materials decomposition (TMD), through spectral simulation to determine the scan and attenuation coefficient for the stent, and preliminary execution for an in vitro sophisticated polyether ether ketone (PEEK) 3D-printed right coronary artery (RCA) replica. Furthermore, the whole-coronary-artery replica with multi-stent implantation, the RCA replica with mimetic plaque embedded, and two patients with stent further validated the effectiveness of CSDA. Post-CSDA images manifested no weakened attenuation values, no elevated noise values, and maintained anatomical integrity in the coronary lumen. The stents were effectively removed, allowing for the ISL and ISR to be clearly visualized with a discrepancy in diameters within 10%. We believe that CSDA presents a promising solution for enhancing CCTA diagnostic accuracy post-stent implantation.
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Affiliation(s)
- Xin Tian
- Department of Medical Imaging, Jincheng People's Hospital, Jincheng, 048000, China.
| | - Yunbing Chen
- Department of Medical Imaging, Jincheng People's Hospital, Jincheng, 048000, China
| | - Sancong Pan
- Department of Cardiovascular Medicine, Jincheng People's Hospital, Jincheng, 048000, China
| | - Honglin Lan
- Department of Medical Imaging, Jincheng People's Hospital, Jincheng, 048000, China
| | - Lei Cheng
- The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
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11
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Dell’Aversana S, Ascione R, Vitale RA, Cavaliere F, Porcaro P, Basile L, Napolitano G, Boccalatte M, Sibilio G, Esposito G, Franzone A, Di Costanzo G, Muscogiuri G, Sironi S, Cuocolo R, Cavaglià E, Ponsiglione A, Imbriaco M. CT Coronary Angiography: Technical Approach and Atherosclerotic Plaque Characterization. J Clin Med 2023; 12:7615. [PMID: 38137684 PMCID: PMC10744060 DOI: 10.3390/jcm12247615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 12/08/2023] [Accepted: 12/08/2023] [Indexed: 12/24/2023] Open
Abstract
Coronary computed tomography angiography (CCTA) currently represents a robust imaging technique for the detection, quantification and characterization of coronary atherosclerosis. However, CCTA remains a challenging task requiring both high spatial and temporal resolution to provide motion-free images of the coronary arteries. Several CCTA features, such as low attenuation, positive remodeling, spotty calcification, napkin-ring and high pericoronary fat attenuation index have been proved as associated to high-risk plaques. This review aims to explore the role of CCTA in the characterization of high-risk atherosclerotic plaque and the recent advancements in CCTA technologies with a focus on radiomics plaque analysis.
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Affiliation(s)
- Serena Dell’Aversana
- Department of Radiology, Santa Maria Delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (S.D.); (G.D.C.); (E.C.)
| | - Raffaele Ascione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Raffaella Antonia Vitale
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Fabrizia Cavaliere
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Piercarmine Porcaro
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Luigi Basile
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | | | - Marco Boccalatte
- Coronary Care Unit, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (M.B.); (G.S.)
| | - Gerolamo Sibilio
- Coronary Care Unit, Santa Maria delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (M.B.); (G.S.)
| | - Giovanni Esposito
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Anna Franzone
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Giuseppe Di Costanzo
- Department of Radiology, Santa Maria Delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (S.D.); (G.D.C.); (E.C.)
| | - Giuseppe Muscogiuri
- Department of Radiology, ASST Papa Giovanni XXIII Hospital, Piazza OMS 1, 24127 Bergamo, Italy; (G.M.); (S.S.)
| | - Sandro Sironi
- Department of Radiology, ASST Papa Giovanni XXIII Hospital, Piazza OMS 1, 24127 Bergamo, Italy; (G.M.); (S.S.)
- School of Medicine and Surgery, University of Milano Bicocca, 20126 Milan, Italy
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy;
| | - Enrico Cavaglià
- Department of Radiology, Santa Maria Delle Grazie Hospital, ASL Napoli 2 Nord, 80078 Pozzuoli, Italy; (S.D.); (G.D.C.); (E.C.)
| | - Andrea Ponsiglione
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
| | - Massimo Imbriaco
- Department of Advanced Biomedical Sciences, University of Naples Federico II, 80131 Naples, Italy; (R.A.); (R.A.V.); (F.C.); (P.P.); (L.B.); (G.E.); (A.F.); (M.I.)
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12
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Meloni A, Cademartiri F, Positano V, Celi S, Berti S, Clemente A, La Grutta L, Saba L, Bossone E, Cavaliere C, Punzo B, Maffei E. Cardiovascular Applications of Photon-Counting CT Technology: A Revolutionary New Diagnostic Step. J Cardiovasc Dev Dis 2023; 10:363. [PMID: 37754792 PMCID: PMC10531582 DOI: 10.3390/jcdd10090363] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 09/28/2023] Open
Abstract
Photon-counting computed tomography (PCCT) is an emerging technology that can potentially transform clinical CT imaging. After a brief description of the PCCT technology, this review summarizes its main advantages over conventional CT: improved spatial resolution, improved signal and contrast behavior, reduced electronic noise and artifacts, decreased radiation dose, and multi-energy capability with improved material discrimination. Moreover, by providing an overview of the existing literature, this review highlights how the PCCT benefits have been harnessed to enhance and broaden the diagnostic capabilities of CT for cardiovascular applications, including the detection of coronary artery calcifications, evaluation of coronary plaque extent and composition, evaluation of coronary stents, and assessment of myocardial tissue characteristics and perfusion.
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Affiliation(s)
- Antonella Meloni
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
- Unità Operativa Complessa di Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Filippo Cademartiri
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
| | - Vicenzo Positano
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
- Unità Operativa Complessa di Bioingegneria, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy
| | - Simona Celi
- BioCardioLab, Fondazione G. Monasterio CNR-Regione Toscana, 54100 Massa, Italy;
| | - Sergio Berti
- Diagnostic and Interventional Cardiology Department, Fondazione G. Monasterio CNR-Regione Toscana, 54100 Massa, Italy;
| | - Alberto Clemente
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
| | - Ludovico La Grutta
- Department of Radiology, University Hospital “P. Giaccone”, 90127 Palermo, Italy;
| | - Luca Saba
- Department of Radiology, University Hospital of Cagliari, 09042 Monserrato, CA, Italy;
| | - Eduardo Bossone
- Department of Cardiology, Ospedale Cardarelli, 80131 Naples, Italy;
| | - Carlo Cavaliere
- Department of Radiology, Istituto di Ricerca e Cura a Carattere Scientifico SynLab-SDN, 80131 Naples, Italy; (C.C.); (B.P.)
| | - Bruna Punzo
- Department of Radiology, Istituto di Ricerca e Cura a Carattere Scientifico SynLab-SDN, 80131 Naples, Italy; (C.C.); (B.P.)
| | - Erica Maffei
- Department of Radiology, Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy; (A.M.); (V.P.); (A.C.); (E.M.)
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