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Tore D, Faletti R, Palmisano A, Salto S, Rocco K, Santonocito A, Gaetani C, Biondo A, Bozzo E, Giorgino F, Landolfi I, Menchini F, Esposito A, Fonio P, Gatti M. Cardiac computed tomography with late contrast enhancement: A review. Heliyon 2024; 10:e32436. [PMID: 38933964 PMCID: PMC11200357 DOI: 10.1016/j.heliyon.2024.e32436] [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: 12/31/2022] [Revised: 05/19/2024] [Accepted: 06/04/2024] [Indexed: 06/28/2024] Open
Abstract
Cardiac computed tomography (CCT) has assumed an increasingly significant role in the evaluation of coronary artery disease (CAD) during the past few decades, whereas cardiovascular magnetic resonance (CMR) remains the gold standard for myocardial tissue characterization. The discovery of late myocardial enhancement following intravenous contrast administration dates back to the 1970s with ex-vivo CT animal investigations; nevertheless, the clinical application of this phenomenon for cardiac tissue characterization became prevalent for CMR imaging far earlier than for CCT imaging. Recently the technical advances in CT scanners have made it possible to take advantage of late contrast enhancement (LCE) for tissue characterization in CCT exams. Moreover, the introduction of extracellular volume calculation (ECV) on cardiac CT images combined with the possibility of evaluating cardiac function in the same exam is making CCT imaging a multiparametric technique more and more similar to CMR. The aim of our review is to provide a comprehensive overview on the role of CCT with LCE in the evaluation of a wide range of cardiac conditions.
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Affiliation(s)
- Davide Tore
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Riccardo Faletti
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Anna Palmisano
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Sara Salto
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Katia Rocco
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Ambra Santonocito
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Clara Gaetani
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Andrea Biondo
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Elena Bozzo
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Fabio Giorgino
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Ilenia Landolfi
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Francesca Menchini
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Antonio Esposito
- Clinical and Experimental Radiology Unit, Experimental Imaging Center, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paolo Fonio
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, Italy
| | - Marco Gatti
- Radiology Unit, Department of Surgical Sciences, AOU Città Della Salute e Della Scienza di Torino, University of Turin, Turin, 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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Kim MY, Yang DH, Choo KS, Lee W. Beyond Coronary CT Angiography: CT Fractional Flow Reserve and Perfusion. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2022; 83:3-27. [PMID: 36237355 PMCID: PMC9238199 DOI: 10.3348/jksr.2021.0177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 12/15/2021] [Accepted: 12/27/2021] [Indexed: 11/30/2022]
Abstract
심장 전산화단층촬영은 비약적인 기술발전과 다양한 연구 결과를 바탕으로 심혈관위험 계층화와 치료 결정을 위한 관상동맥 질환의 진단과 예후 평가성능이 입증되었다. 전산화단층촬영 관상동맥조영술은 폐쇄성 관상동맥 질환에 대한 음성 예측도가 높아서 침습적 혈관조영술의 빈도를 줄일 수 있는 관상동맥 질환 관련 검사의 관문으로 부상했지만, 진단특이도가 상대적으로 낮다. 하지만 심장 전산화단층촬영을 이용한 분획혈류예비력과 심근관류를 분석하여 관상동맥 질환의 혈역학적 유의성을 확인하는 기능적 평가를 통해 그 한계를 극복할 수 있다. 최근에는 이를 보다 객관적이고 재현 가능하도록 인공지능을 접목하는 연구들이 활발히 진행되고 있다. 본 종설에서는 심장 전산화단층촬영의 기능적 영상화 기법들에 대해 알아보고자 한다.
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Affiliation(s)
- Moon Young Kim
- Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea
| | - Dong Hyun Yang
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Ki Seok Choo
- Department of Radiology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea
| | - Whal Lee
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
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Pezel T, Mika D, Logeart D, Cohen-Solal A, Beauvais F, Henry P, Laissy JP, Moubarak G. Characterization of non-response to cardiac resynchronization therapy by post-procedural computed tomography. PACING AND CLINICAL ELECTROPHYSIOLOGY: PACE 2020; 44:135-144. [PMID: 33283875 DOI: 10.1111/pace.14134] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 11/04/2020] [Accepted: 11/29/2020] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Causes of non-response to cardiac resynchronization therapy (CRT) include mechanical dyssynchrony, myocardial scar, and suboptimal left ventricular (LV) lead location. We aimed to assess the utility of Late Iodine Enhancement Computed Tomography (LIE-CT) with image subtraction in characterizing CRT non-response. METHODS CRT response was defined as a decrease in LV end-systolic volume > 15% at 6 months. LIE-CT was performed after 6 months, and analyzed global and segmental dyssynchrony, myocardial scar, coronary venous anatomy, and position of LV lead relative to scar and segment of latest mechanical contraction. RESULTS We evaluated 29 patients (age 71 ± 12 years; 72% men) including 18 (62%) responders. All metrics evaluating residual dyssynchrony such as wall motion index and wall thickness index were worse in non-responders. There was no difference in presence and extent of scar between responders and non-responders. However, in non-responders, the LV lead was more often over an akinetic/dyskinetic area (72% vs. 22%, p = .007), a fibrotic area (64% vs. 8%, p = .0007), an area with myocardial thickness < 6 mm (82% vs. 22%, p = .002), and less often concordant with the region of maximal wall thickness (9% vs. 72%, p = .001). Among the 11 non-responders, eight had at least another coronary venous branch visualized by CT, including three (27%) coursing over a potentially interesting myocardial area (free of scar, with normal wall motion, and with a myocardial thickness ≥6 mm). CONCLUSION LIE-CT with image subtraction allows a comprehensive characterization of patients after CRT and may provide clues for management of non-responders.
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Affiliation(s)
- Théo Pezel
- Department of Cardiology, Lariboisière Hospital, APHP, Paris, France.,Department of Radiology, Lariboisière Hospital, APHP, Paris, France
| | - Delphine Mika
- University of Paris-Sud 11, INSERM UMR-S 1180, Chatenay-Malabry, France
| | - Damien Logeart
- Department of Cardiology, Lariboisière Hospital, APHP, Paris, France
| | - Alain Cohen-Solal
- Department of Cardiology, Lariboisière Hospital, APHP, Paris, France
| | - Florence Beauvais
- Department of Cardiology, Lariboisière Hospital, APHP, Paris, France
| | - Patrick Henry
- Department of Cardiology, Lariboisière Hospital, APHP, Paris, France
| | | | - Ghassan Moubarak
- Department of Cardiology, Lariboisière Hospital, APHP, Paris, France.,Department of Electrophysiology and Pacing, Centre Médico-Chirurgical Ambroise Paré, Neuilly-sur-Seine, France
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Tanabe Y, Kurata A, Matsuda T, Yoshida K, Baruah D, Kido T, Mochizuki T, Rajiah P. Computed tomographic evaluation of myocardial ischemia. Jpn J Radiol 2020; 38:411-433. [PMID: 32026226 PMCID: PMC7186254 DOI: 10.1007/s11604-020-00922-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 01/20/2020] [Indexed: 01/02/2023]
Abstract
Myocardial ischemia is caused by a mismatch between myocardial oxygen consumption and oxygen delivery in coronary artery disease (CAD). Stratification and decision-making based on ischemia improves the prognosis in patients with CAD. Non-invasive tests used to evaluate myocardial ischemia include stress electrocardiography, echocardiography, single-photon emission computed tomography, and magnetic resonance imaging. Invasive fractional flow reserve is considered the reference standard for assessment of the hemodynamic significance of CAD. Computed tomography (CT) angiography has emerged as a first-line imaging modality for evaluation of CAD, particularly in the population at low to intermediate risk, because of its high negative predictive value; however, CT angiography does not provide information on the hemodynamic significance of stenosis, which lowers its specificity. Emerging techniques, e.g., CT perfusion and CT-fractional flow reserve, help to address this limitation of CT, by determining the hemodynamic significance of coronary artery stenosis. CT perfusion involves acquisition during the first pass of contrast medium through the myocardium following pharmacological stress. CT-fractional flow reserve uses computational fluid dynamics to model coronary flow, pressure, and resistance. In this article, we review these two functional CT techniques in the evaluation of myocardial ischemia, including their principles, technology, advantages, limitations, pitfalls, and the current evidence.
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Affiliation(s)
- Yuki Tanabe
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Akira Kurata
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Takuya Matsuda
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Kazuki Yoshida
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
| | - Dhiraj Baruah
- Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Teruhito Kido
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
| | - Teruhito Mochizuki
- Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan
- Department of Radiology, I.M. Sechenov First Moscow State Medical University, Bol'shaya Pirogovskaya Ulitsa, Moscow, Russia
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Late iodine enhancement cardiac computed tomography for detection of myocardial scars: impact of experience in the clinical practice. Radiol Med 2019; 125:128-136. [PMID: 31784926 DOI: 10.1007/s11547-019-01108-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 11/13/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND Cardiac CT with late iodine enhancement (LIE-CT) may characterize the scarred myocardium, but the role of readers' experience and scar pattern on LIE-CT diagnostic performance is unknown. Aim was to assess the diagnostic performance of LIE-CT according to readers' experience, scar pattern and contrast-to-noise ratio (CNR) using late gadolinium enhancement MRI (LGE-MRI) as reference. METHODS LIE-CT and LGE-MRI images of 40 consecutive patients were analyzed. Two readers with different experience (8 and 2 years) independently analyzed LIE-CT images defining the presence/absence of scar and scar CNR, segmental involvement, transmural pattern and scar etiology. The same parameters were extracted from LGE-MRI by two expert readers in consensus, blinded to the LIE-CT results. RESULTS Scars were identified at LGE-MRI in 29/40 patients and 141/680 segments. Scar burden at LIE-CT versus LGE-MRI correlated better for the most experienced reader than for the least experienced one (ρ = 0.954 and ρ = 0.797, p < 0.001). The most experienced reader missed scars in 2 patients and in 21/141 segments; the least experienced in 5 patients and 53/141 segments. The most experienced reader showed higher accuracy and sensitivity compared to the least experienced in per-patient (accuracy: 95% vs. 88%; sensitivity: 93% vs. 83%) and per-segment analysis (accuracy: 96% vs. 92%; sensitivity: 85% vs. 62%). Specificity was excellent (100% per-patient, 99% per-segment,) regardless of readers' experience. Missed scars had non-ischemic pattern, low scar burden (< 6%) and lower CNR compared to ischemic scars (2.33 vs. 3.54, p = 0.005). CONCLUSION LIE-CT represents an alternative to LGE-MRI, although the impact of readers' experience on sensitivity for small non-ischemic scars should be considered.
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The Value of Low-Dose Dynamic Myocardial Perfusion CT for Accurate Evaluation of Microvascular Obstruction in Patients With Acute Myocardial Infarction. AJR Am J Roentgenol 2019; 213:798-806. [PMID: 31166762 DOI: 10.2214/ajr.19.21305] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Impact of Knowledge-Based Iterative Model Reconstruction on Image Quality and Hemodynamic Parameters in Dynamic Myocardial Computed Tomography Perfusion Using Low-Tube-Voltage Scan: A Feasibility Study. J Comput Assist Tomogr 2019; 43:811-816. [PMID: 31453979 DOI: 10.1097/rct.0000000000000914] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Knowledge-based iterative model reconstruction (IMR) yields diagnostically acceptable image quality in low-dose static computed tomography (CT). We aimed to evaluate the feasibility of IMR in dynamic myocardial computed tomography perfusion (CTP). METHODS We enrolled 24 patients who underwent stress dynamic CTP using a 256-slice CT. Images were reconstructed using filtered back projection (FBP), hybrid IR, and IMR. Image quality and hemodynamic parameters were compared among three algorithms. RESULTS Qualitative image quality and contrast-to-noise ratio were significantly higher by IMR than by FBP or hybrid IR (visual score: 4.1 vs. 3.0 and 3.5; contrast-to-noise ratio: 12.4 vs. 6.6 and 8.4; P < 0.05). No significant difference was observed among algorithms in CTP-derived myocardial blood flow (1.68 vs. 1.73 and 1.70 mL/g/min). CONCLUSIONS The use of knowledge-based iterative model reconstruction improves image quality without altering hemodynamic parameters in low-dose dynamic CTP, compared with FBP or hybrid IR.
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Comparison of the different imaging time points in delayed phase cardiac CT for myocardial scar assessment and extracellular volume fraction estimation in patients with old myocardial infarction. Int J Cardiovasc Imaging 2018; 35:917-926. [DOI: 10.1007/s10554-018-1513-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Accepted: 12/11/2018] [Indexed: 01/02/2023]
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Kitagawa K, Goto Y, Nakamura S, Takafuji M, Hamdy A, Ishida M, Sakuma H. Dynamic CT Perfusion Imaging: State of the Art. ACTA ACUST UNITED AC 2018. [DOI: 10.22468/cvia.2018.00031] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Kakuya Kitagawa
- Department of Radiology, Mie University School of Medicine, Tsu, Japan
| | - Yoshitaka Goto
- Department of Radiology, Mie University School of Medicine, Tsu, Japan
| | - Satoshi Nakamura
- Department of Radiology, Mie University School of Medicine, Tsu, Japan
| | - Masafumi Takafuji
- Department of Radiology, Mie University School of Medicine, Tsu, Japan
| | - Ahmed Hamdy
- Department of Radiology, Mie University School of Medicine, Tsu, Japan
| | - Masaki Ishida
- Department of Radiology, Mie University School of Medicine, Tsu, Japan
| | - Hajime Sakuma
- Department of Radiology, Mie University School of Medicine, Tsu, Japan
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