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Masuda T, Kiguchi M, Fujioka C, Oku T, Ishibashi T, Katsunuma Y, Yoshitake T, Abe S, Awai K. Comparison of the equivalent doses of the eye lenses, thyroid, and mammary gland among three pediatric and one adult anthropomorphic phantom during the chest CT examinations using a 40 mm volume helical scan. RADIATION PROTECTION DOSIMETRY 2024; 200:1391-1397. [PMID: 38997113 DOI: 10.1093/rpd/ncae165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 06/04/2024] [Accepted: 07/02/2024] [Indexed: 07/14/2024]
Abstract
Equivalent doses for the eye lenses, thyroid, and mammary glands were measured and compared between one adult and three pediatric anthropomorphic phantoms during chest computed tomography (CT) using 40 mm volume helical scan on the Aquilion ONE GENESIS Edition CT equipment. Placing an optically stimulated luminescence dosemeter (OSLD) on the eye lenses, thyroid, and mammary gland, we measured and compared the equivalent dose of OSLD among different phantoms during chest CT using a helical scan. Compared with adults, the equivalent doses to the eye lens, thyroid, and mammary glands were ~81%, 77%, and 63% lower in newborns, 1-year-olds, and 5-year-olds using comparable image noise during chest CT.
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Affiliation(s)
- Takanori Masuda
- Department of Radiological Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, 288, Matsushima, Kurashiki, Okayama 701-0193, Japan
| | - Masao Kiguchi
- Department of Radiology, Hiroshima University, 2-3, Kasumi, Minami-ku, Hiroshima 734-0037, Japan
| | - Chikako Fujioka
- Department of Radiology, Hiroshima University, 2-3, Kasumi, Minami-ku, Hiroshima 734-0037, Japan
| | - Takayuki Oku
- Department of Radiological Technologist, Tsuchiya General Hospital, Nakajima-cho 3-30, Naka-ku, Hiroshima 730-8655, Japan
| | - Toru Ishibashi
- Department of Radiological Technologist, Tsuchiya General Hospital, Nakajima-cho 3-30, Naka-ku, Hiroshima 730-8655, Japan
| | - Yasushi Katsunuma
- Department of Radiological Technology, Tokai University Oiso Hospital, 143, Iseharashi, Naka-gun, Kanagawa 259-1193, Japan
| | | | - Shuji Abe
- Department of Radiological Technology, Osaka College of High Technology, Osaka, Japan
| | - Kazuo Awai
- Department of Diagnostic Radiology, Hiroshima University, 2-3, Kasumi, Minami-ku, Hiroshima 734-0037, Japan
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2
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Cho HH, Lee SM, You SK. Improving Reproducibility of Volumetric Evaluation Using Computed Tomography in Pediatric Patients with Congenital Heart Disease. Pediatr Cardiol 2024:10.1007/s00246-024-03630-6. [PMID: 39217235 DOI: 10.1007/s00246-024-03630-6] [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: 07/30/2024] [Accepted: 08/14/2024] [Indexed: 09/04/2024]
Abstract
The volumetric data obtained from the cardiac CT scan of congenital heart disease patients is important for defining patient's status and making decision for proper management. The objective of this study is to evaluate the intra-observer, inter-observer, and interstudy reproducibility of left ventricular (LV) and right ventricular (RV) or functional single-ventricle (FSV) volume. And compared those between manual and using semi-automated segmentation tool. Total of 127 patients (56 female, 71 male; mean age 82.1 months) underwent pediatric protocol cardiac CT from January 2020 to December 2022. The volumetric data including both end-systolic and -diastolic volume and calculated EF were derived from both conventional semiautomatic region growing algorithms (CM, TeraRecon, TeraRecon, Inc., San Mateo, CA, USA) and deep learning-based annotation program (DLS, Medilabel, Ingradient, Inc., Seoul, Republic of Korea) by three readers, who have different background knowledge or experience of radiology or image extraction before. The reproducibility was compared using intra- and inter-observer agreements. And the usability was measured using time for reconstruction and number of tests that were reconfigured before the reconfiguration time was reduced to less than 5 min. Inter- and intra-observer agreements showed better agreements degrees in DLS than CM in all analyzers. The time used for reconstruction showed significantly shorter in DLS compared with CM. And significantly small numbers of tests before the reconfiguration is needed in DLS than CM. Deep learning-based annotation program can be more accurate way for measurement of volumetric data for congenital heart disease patients with better reproducibility than conventional method.
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Affiliation(s)
- Hyun-Hae Cho
- Department of Radiology and Medical Research Institute, College of Medicine, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea.
| | - So Mi Lee
- Department of Radiology, School of Medicine, Kyungpook National University Hospital, Kyungpook National University, Daegu, Republic of Korea
| | - Sun Kyoung You
- Department of Radiology, Chungnam National University Hospital, Daejeon, Republic of Korea
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3
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Gulizia M, Alamo L, Alemán-Gómez Y, Cherpillod T, Mandralis K, Chevallier C, Tenisch E, Viry A. Gated cardiac CT in infants: What can we expect from deep learning image reconstruction algorithm? J Cardiovasc Comput Tomogr 2024; 18:304-306. [PMID: 38480035 DOI: 10.1016/j.jcct.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 02/27/2024] [Accepted: 03/01/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND ECG-gated cardiac CT is now widely used in infants with congenital heart disease (CHD). Deep Learning Image Reconstruction (DLIR) could improve image quality while minimizing the radiation dose. OBJECTIVES To define the potential dose reduction using DLIR with an anthropomorphic phantom. METHOD An anthropomorphic pediatric phantom was scanned with an ECG-gated cardiac CT at four dose levels. Images were reconstructed with an iterative and a deep-learning reconstruction algorithm (ASIR-V and DLIR). Detectability of high-contrast vessels were computed using a mathematical observer. Discrimination between two vessels was assessed by measuring the CT spatial resolution. The potential dose reduction while keeping a similar level of image quality was assessed. RESULTS DLIR-H enhances detectability by 2.4% and discrimination performances by 20.9% in comparison with ASIR-V 50. To maintain a similar level of detection, the dose could be reduced by 64% using high-strength DLIR in comparison with ASIR-V50. CONCLUSION DLIR offers the potential for a substantial dose reduction while preserving image quality compared to ASIR-V.
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Affiliation(s)
- Marianna Gulizia
- Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland.
| | - Leonor Alamo
- Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland.
| | - Yasser Alemán-Gómez
- Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland.
| | - Tyna Cherpillod
- Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland.
| | - Katerina Mandralis
- Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland.
| | - Christine Chevallier
- Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland.
| | - Estelle Tenisch
- Department of Radiology and Interventional Radiology, Lausanne University Hospital (CHUV), Rue du Bugnon 46, 1011 Lausanne, Switzerland.
| | - Anaïs Viry
- Institute of Radiation Physics, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Rue du Grand Pré 1, 1007 Lausanne, Switzerland.
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4
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Zucker EJ. Cardiac Computed Tomography in Congenital Heart Disease. Radiol Clin North Am 2024; 62:435-452. [PMID: 38553179 DOI: 10.1016/j.rcl.2023.12.015] [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] [Indexed: 04/02/2024]
Abstract
Computed tomography (CT) has emerged as a leading imaging modality in the evaluation of congenital heart disease (CHD). With ever-faster acquisition speed, decreasing radiation exposure, impeccable anatomic detail, optional functional data, and numerous post-processing tools, CT offers broad utility in CHD diagnosis, preoperative planning, and postoperative assessment. In this article, the far-reaching role of CT in CHD is reviewed, focusing on technical imaging considerations and key clinical applications.
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Affiliation(s)
- Evan J Zucker
- Department of Radiology, Divisions of Pediatric and Cardiovascular Imaging, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA.
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Epstein R, Yomogida M, Donovan D, Butensky A, Aidala AA, Farooqi KM, Shah AM, Chelliah A, DiLorenzo MP. Trends in cardiac CT utilization for patients with pediatric and congenital heart disease: A multicenter survey study. J Cardiovasc Comput Tomogr 2024; 18:267-273. [PMID: 38360501 DOI: 10.1016/j.jcct.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 02/02/2024] [Accepted: 02/08/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND The use of cardiac CT (CCT) has increased dramatically in recent years among patients with pediatric and congenital heart disease (CHD), but little is known about trends and practice pattern variation in CCT utilization for this population among centers. METHODS A 21-item survey was created to assess CCT utilization in the pediatric/CHD population in calendar years 2011 and 2021. The survey was sent to all non-invasive cardiac imaging directors of pediatric cardiology centers in North America in September 2022. RESULTS Forty-one centers completed the survey. In 2021, 98% of centers performed CCT in pediatric and CHD patients (vs. 73% in 2011), and 61% of centers performed >100 CCTs annually (vs. 5% in 2011). While 62% of centers in 2021 utilized dual-source technology for high-pitch helical acquisition, 15% of centers reported primarily performing CCT on a 64-slice scanner. Anesthesia utilization, use of medications for heart rate control, and type of subspecialty training for physicians interpreting CCT varied widely among centers. 50% of centers reported barriers to CCT performance, with the most commonly cited concerns being radiation exposure, the need for anesthesia, and limited CT scan staffing or machine access. 37% (11/30) of centers with a pediatric cardiology fellowship program offer no clinical or didactic CCT training for categorical fellows. CONCLUSION While CCT usage in the CHD/pediatric population has risen significantly in the past decade, there is broad center variability in CCT acquisition techniques, staffing, workflow, and utilization. Potential areas for improvement include expanding CT scanner access and staffing, formal CCT education for pediatric cardiology fellows, and increasing utilization of existing technological advances.
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Affiliation(s)
- Rebecca Epstein
- Division of Cardiology, Department of Pediatrics, Weill Cornell Medicine, New York, NY, USA.
| | - Maiko Yomogida
- Department of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Denis Donovan
- Division of Cardiology, Department of Pediatrics, Weill Cornell Medicine, New York, NY, USA
| | - Adam Butensky
- Division of Cardiology, Department of Pediatrics, Columbia University Irving Medical Center and New York-Presbyterian Morgan Stanley Children's Hospital, USA
| | - Angela A Aidala
- Division of Cardiology, Department of Pediatrics, Goryeb Children's Hospital, Atlantic Health System, Morristown, NJ, USA
| | - Kanwal M Farooqi
- Division of Cardiology, Department of Pediatrics, Columbia University Irving Medical Center and New York-Presbyterian Morgan Stanley Children's Hospital, USA
| | - Amee M Shah
- Division of Cardiology, Department of Pediatrics, Columbia University Irving Medical Center and New York-Presbyterian Morgan Stanley Children's Hospital, USA
| | - Anjali Chelliah
- Division of Cardiology, Department of Pediatrics, Columbia University Irving Medical Center and New York-Presbyterian Morgan Stanley Children's Hospital, USA; Division of Cardiology, Department of Pediatrics, Goryeb Children's Hospital, Atlantic Health System, Morristown, NJ, USA
| | - Michael P DiLorenzo
- Division of Cardiology, Department of Pediatrics, Columbia University Irving Medical Center and New York-Presbyterian Morgan Stanley Children's Hospital, USA
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6
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Stoltzfus MT, Capodarco MD, Anamika F, Gupta V, Jain R. Cardiac MRI: An Overview of Physical Principles With Highlights of Clinical Applications and Technological Advancements. Cureus 2024; 16:e55519. [PMID: 38576652 PMCID: PMC10990965 DOI: 10.7759/cureus.55519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 03/04/2024] [Indexed: 04/06/2024] Open
Abstract
The purpose of this review is to serve as a concise learning tool for clinicians interested in quickly learning more about cardiac magnetic resonance imaging (CMR) and its physical principles. There is heavy coverage of the basic physical fundamentals of CMR as well as updates on the history, clinical indications, cost-effectiveness, role of artificial intelligence in CMR, and examples of common late gadolinium enhancement (LGE) patterns. This literature review was performed by searching the PubMed database for the most up-to-date literature regarding these topics. Relevant, less up-to-date articles, covering the history and physics of CMR, were also obtained from the PubMed database. Clinical indications for CMR include adult congenital heart disease, cardiac ischemia, cardiomyopathies, and heart failure. CMR has a projected cost-benefit ratio of 0.58, leading to potential savings for patients. Despite its utility, CMR has some drawbacks including long image processing times, large space requirements for equipment, and patient discomfort during imaging. Artificial intelligence-based algorithms can address some of these drawbacks by decreasing image processing times and may have reliable diagnostic capabilities. CMR is quickly rising as a high-resolution, non-invasive cardiac imaging modality with an increasing number of clinical indications. Thanks to technological advancements, especially in artificial intelligence, the benefits of CMR often outweigh its drawbacks.
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Affiliation(s)
| | - Matthew D Capodarco
- Radiology, Penn State University College of Medicine, Milton S. Hershey Medical Center, Hershey, USA
| | - Fnu Anamika
- Internal Medicine, University College of Medical Sciences, New Delhi, IND
| | - Vasu Gupta
- Internal Medicine, Dayanand Medical College and Hospital, Ludhiana, IND
| | - Rohit Jain
- Internal Medicine, Penn State University College of Medicine, Milton S. Hershey Medical Center, Hershey, USA
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Ristow I, Hancken-Pauschinger CV, Zhang S, Stark M, Kaul MG, Rickers C, Herrmann J, Adam G, Bannas P, Well L, Weinrich JM. Non-contrast free-breathing 2D CINE compressed SENSE T1-TFE cardiovascular MRI at 3T in sedated young children for assessment of congenital heart disease. PLoS One 2024; 19:e0297314. [PMID: 38330070 PMCID: PMC10852305 DOI: 10.1371/journal.pone.0297314] [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: 08/08/2023] [Accepted: 01/03/2024] [Indexed: 02/10/2024] Open
Abstract
Cardiac MRI is a crucial tool for assessing congenital heart disease (CHD). However, its application remains challenging in young children when performed at 3T. The aim of this retrospective single center study was to compare a non-contrast free-breathing 2D CINE T1-weighted TFE-sequence with compressed sensing (FB 2D CINE CS T1-TFE) with 3D imaging for diagnostic accuracy of CHD, image quality, and vessel diameter measurements in sedated young children. FB 2D CINE CS T1-TFE was compared with a 3D non-contrast whole-heart sequence (3D WH) and 3D contrast-enhanced MR angiography (3D CE-MRA) at 3T in 37 CHD patients (20♂, 1.5±1.4 years). Two radiologists independently assessed image quality, type of CHD, and diagnostic confidence. Diameters and measures of contrast and sharpness of the aorta and pulmonary vessels were determined. A non-parametric multi-factorial approach was used to estimate diagnostic accuracy for the diagnosis of CHD. Linear mixed models were calculated to compare contrast and vessel sharpness. Krippendorff's alpha was determined to quantify vessel diameter agreement. FB 2D CINE CS T1-TFE was rated superior regarding image quality, diagnostic confidence, and diagnostic sensitivity for both intra- and extracardiac pathologies compared to 3D WH and 3D CE-MRA (all p<0.05). FB 2D CINE CS T1-TFE showed superior contrast and vessel sharpness (p<0.001) resulting in the highest proportion of measurable vessels (740/740; 100%), compared to 3D WH (530/620; 85.5%) and 3D CE-MRA (540/560; 96.4%). Regarding vessel diameter measurements, FB 2D CINE CS T1-TFE revealed the closest inter-reader agreement (Krippendorff's alpha: 0.94-0.96; 3D WH: 0.78-0.94; 3D CE-MRA: 0.76-0.93). FB 2D CINE CS T1-TFE demonstrates robustness at 3T and delivers high-quality diagnostic results to assess CHD in sedated young children. Its ability to function without contrast injection and respiratory compensation enhances ease of use and could encourage widespread adoption in clinical practice.
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Affiliation(s)
- Inka Ristow
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Caroline-Viktoria Hancken-Pauschinger
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, Section of Pediatric Radiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Shuo Zhang
- Philips GmbH Market DACH, Hamburg, Germany
| | - Maria Stark
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael G. Kaul
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Carsten Rickers
- University Heart Center, Adult Congenital Heart Disease Unit, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jochen Herrmann
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, Section of Pediatric Radiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerhard Adam
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter Bannas
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lennart Well
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Julius Matthias Weinrich
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, Section of Pediatric Radiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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8
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Salman R, More SR, Ferreira Botelho MP, Ketwaroo PM, Masand PM, Jadhav SP. Evaluation of paediatric pulmonary vein stenosis by cardiac CT angiography: a comparative study with transthoracic echocardiography and catheter angiogram. Clin Radiol 2023; 78:e718-e723. [PMID: 37394393 DOI: 10.1016/j.crad.2023.06.002] [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: 02/08/2023] [Revised: 05/18/2023] [Accepted: 06/01/2023] [Indexed: 07/04/2023]
Abstract
AIM To compare prospective electrocardiogram (ECG)-gated cardiac computed tomographic angiography (CCTA) with transthoracic echocardiography (TTE) and cardiac catheter angiography (CCA) for paediatric pulmonary vein (PV) stenosis. MATERIALS AND METHODS Retrospective chart review was undertaken of all patients who underwent CCTA for PV evaluation over a 4-year period. Patient demographics, findings of CCTA, TTE, and CCA, as well as interventions performed, were recorded for each PV. RESULTS Thirty-five patients were included (23 male patients). All patients had a prior TTE with time interval between TTE and CCTA ranging from 0 to 90 days. CCTA detected 92 abnormalities in 32 patients. TTE missed 16 PV abnormalities (16/92, 17%), detected 37 abnormalities with certainty (37/92, 40%), and was suggestive in 39 abnormalities (39/92, 42%). CCTA was negative for PV abnormalities when TTE was positive or suspicious in three patients. Nineteen patients underwent CCA (18 patients with 52 abnormalities and one patient with normal PV), confirming CCTA findings. Thirty-nine were treated with angioplasty/stenting (39/52,75%). Failed recanalisation occurred in three PVs (3/52, 6%) and no intervention was attempted for the rest as the gradient was not significant (10/52,19%). Nine patients underwent surgical repair (26/92, 28%). Five patients (14/92, 15%) were managed with no intervention based on CCTA findings and poor clinical prognosis. CONCLUSIONS CCTA plays an important role in detecting paediatric PV stenosis and identifies additional findings compared to TTE that have direct surgical/interventional implications. CCTA complements TTE in imaging these patients and helps guide management.
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Affiliation(s)
- R Salman
- Edward B. Singleton Department of Radiology, Division of Body Imaging, Texas Children's Hospital and Baylor College of Medicine, 6701 Fannin St., Suite 470, Houston, TX 77030, USA
| | - S R More
- Virtual Radiologic Corporation, 11995 Singletree Lane, Eden Praire, MN 55344, USA
| | - M P Ferreira Botelho
- Edward B. Singleton Department of Radiology, Division of Body Imaging, Texas Children's Hospital and Baylor College of Medicine, 6701 Fannin St., Suite 470, Houston, TX 77030, USA
| | - P M Ketwaroo
- Edward B. Singleton Department of Radiology, Division of Body Imaging, Texas Children's Hospital and Baylor College of Medicine, 6701 Fannin St., Suite 470, Houston, TX 77030, USA
| | - P M Masand
- Edward B. Singleton Department of Radiology, Division of Body Imaging, Texas Children's Hospital and Baylor College of Medicine, 6701 Fannin St., Suite 470, Houston, TX 77030, USA
| | - S P Jadhav
- Edward B. Singleton Department of Radiology, Division of Body Imaging, Texas Children's Hospital and Baylor College of Medicine, 6701 Fannin St., Suite 470, Houston, TX 77030, USA.
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9
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Ashkanase J, Wong D. Update in Pediatric Cardiology. UPDATE IN PEDIATRICS 2023:79-108. [DOI: 10.1007/978-3-031-41542-5_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2025]
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10
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Hee Kim K, Choo KS, Jin Nam K, Lee K, Hwang JY, Park C, Jung Yang W. Cardiac CTA image quality of adaptive statistical iterative reconstruction-V versus deep learning reconstruction "TrueFidelity" in children with congenital heart disease. Medicine (Baltimore) 2022; 101:e31169. [PMID: 36281124 PMCID: PMC9592454 DOI: 10.1097/md.0000000000031169] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Several recent studies have reported that deep learning reconstruction "TrueFidelity" (TF) improves computed tomography (CT) image quality. However, no study has compared adaptive statistical repeated reconstruction (ASIR-V) using TF in pediatric cardiac CT angiography (CTA) with a low peak kilovoltage. OBJECTIVE This study aimed to determine whether ASIR-V or TF CTA image quality is superior in children with congenital heart disease (CHD). MATERIALS AND METHODS Fifty children (median age, 2 months; interquartile range, 0-5 months; 28 men) with CHD who underwent CTA were enrolled between June and September 2020. Images were reconstructed using 2 ASIR-V blending factors (80% and 100% [AV-100]) and 3 TF settings (low, medium, and high [TF-H] strength levels). For the quantitative analyses, 3 objective image qualities (attenuation, noise, and signal-to-noise ratio [SNR]) were measured of the great vessels and heart chambers. The contrast-to-noise ratio (CNR) was also evaluated between the left ventricle and the dial wall. For the qualitative analyses, the degree of quantum mottle and blurring at the upper level to the first branch of the main pulmonary artery was assessed independently by 2 radiologists. RESULTS When the ASIR-V blending factor level and TF strength were higher, the noise was lower, and the SNR was higher. The image noise and SNR of TF-H were significantly lower and higher than those of AV-100 (P < .01), except for noise in the right atrium and left pulmonary artery and SNR of the right ventricle. Regarding CNR, TF-H was significantly better than AV-100 (P < .01). In addition, in the objective assessment of the degree of quantum mottle and blurring, TF-H had the best score among all examined image sets (P < .01). CONCLUSION TF-H is superior to AV-100 in terms of objective and subjective image quality. Consequently, TF-H was the best image set for cardiac CTA in children with CHD.
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Affiliation(s)
- Kun Hee Kim
- Department of Radiology, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan-si, Gyeongsangnam-do, Korea
| | - Ki Seok Choo
- Department of Radiology, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan-si, Gyeongsangnam-do, Korea
- *Correspondence: Ki Seok Choo, Department of Radiology, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Beomeo-RI, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do, 626-770, Korea (e-mail: )
| | - Kyoung Jin Nam
- Department of Radiology, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan-si, Gyeongsangnam-do, Korea
| | - Kyeyoung Lee
- Department of Radiology, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan-si, Gyeongsangnam-do, Korea
| | - Jae-Yeon Hwang
- Department of Radiology, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan-si, Gyeongsangnam-do, Korea
| | - ChanKue Park
- Department of Radiology, Pusan National University School of Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan-si, Gyeongsangnam-do, Korea
| | - Woo Jung Yang
- Barunmom Rehabilitation Medicine, Busanjin-gu, Busan, Korea
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11
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Dual-source computed tomography protocols for the pediatric chest - scan optimization techniques. Pediatr Radiol 2022:10.1007/s00247-022-05468-7. [PMID: 35948645 PMCID: PMC9365683 DOI: 10.1007/s00247-022-05468-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/28/2022] [Accepted: 07/21/2022] [Indexed: 11/26/2022]
Abstract
The gold standard for pediatric chest imaging remains the CT scan. An ideal pediatric chest CT has the lowest radiation dose with the least motion degradation possible in a diagnostic scan. Because of the known inherent risks and costs of anesthesia, non-sedate options are preferred. Dual-source CTs are currently the fastest, lowest-dose CT scanners available, utilizing an ultra-high-pitch mode resulting in sub-second CTs. The dual-energy technique, available on dual-source CT scanners, gathers additional information such as pulmonary blood volume and includes relative contrast enhancement and metallic artifact reduction, features that are not available in high-pitch flash mode. In this article we discuss the benefits and tradeoffs of dual-source CT scan modes and tips on image optimization.
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12
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Ramirez-Suarez KI, Tierradentro-García LO, Otero HJ, Rapp JB, White AM, Partington SL, Harris MA, Vatsky SA, Whitehead KK, Fogel MA, Biko DM. Optimizing neonatal cardiac imaging (magnetic resonance/computed tomography). Pediatr Radiol 2022; 52:661-675. [PMID: 34657169 DOI: 10.1007/s00247-021-05201-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 07/28/2021] [Accepted: 09/01/2021] [Indexed: 10/20/2022]
Abstract
Magnetic resonance imaging (MRI) and CT perform an important role in the evaluation of neonates with congenital heart disease (CHD) when echocardiography is not sufficient for surgical planning or postoperative follow-up. Cardiac MRI and cardiac CT have complementary applications in the evaluation of cardiovascular disease in neonates. This review focuses on the indications and technical aspects of these modalities and special considerations for imaging neonates with CHD.
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Affiliation(s)
- Karen I Ramirez-Suarez
- Roberts Center for Pediatric Research, Children's Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA, 19146, USA. .,Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
| | - Luis Octavio Tierradentro-García
- Roberts Center for Pediatric Research, Children's Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA, 19146, USA.,Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Hansel J Otero
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA
| | - Jordan B Rapp
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA
| | - Ammie M White
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA
| | - Sara L Partington
- Division of Cardiology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Matthew A Harris
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA.,Division of Cardiology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Seth A Vatsky
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA
| | - Kevin K Whitehead
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA.,Division of Cardiology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Mark A Fogel
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA.,Division of Cardiology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - David M Biko
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA
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13
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El-Ali AM, Strubel NA, Lala SV. Congenital lung lesions: a radiographic pattern approach. Pediatr Radiol 2022; 52:622-636. [PMID: 34716454 DOI: 10.1007/s00247-021-05210-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 07/29/2021] [Accepted: 09/13/2021] [Indexed: 11/28/2022]
Abstract
Congenital lung malformations represent a spectrum of abnormalities that can overlap in imaging appearance and frequently coexist in the same child. Imaging diagnosis in the neonatal period can be challenging; however, the recognition of several archetypal radiographic patterns can aid in narrowing the differential diagnosis. Major radiographic archetypes include (1) hyperlucent lung, (2) pulmonary cysts, (3) focal opacity and (4) normal radiograph. Here we review the multimodality imaging appearances of the most commonly seen congenital lung malformations, categorized by their primary imaging archetypes. Along with the congenital lung malformations, we present several important imaging mimickers.
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Affiliation(s)
- Alexander Maad El-Ali
- Division of Pediatric Radiology, Department of Radiology, NYU Grossman School of Medicine, 550 First Ave., New York, NY, 10016, USA.
| | - Naomi A Strubel
- Division of Pediatric Radiology, Department of Radiology, NYU Grossman School of Medicine, 550 First Ave., New York, NY, 10016, USA
| | - Shailee V Lala
- Division of Pediatric Radiology, Department of Radiology, NYU Grossman School of Medicine, 550 First Ave., New York, NY, 10016, USA
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14
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Mesropyan N, Isaak A, Dabir D, Hart C, Faron A, Endler C, Kravchenko D, Katemann C, Pieper CC, Kuetting D, Attenberger UI, Luetkens JA. Free-breathing high resolution modified Dixon steady-state angiography with compressed sensing for the assessment of the thoracic vasculature in pediatric patients with congenital heart disease. J Cardiovasc Magn Reson 2021; 23:117. [PMID: 34689811 PMCID: PMC8543883 DOI: 10.1186/s12968-021-00810-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 08/30/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cardiovascular magnetic resonance angiography (CMRA) is a non-invasive imaging modality of choice in pediatric patients with congenital heart disease (CHD). This study was aimed to evaluate the diagnostic utility of a respiratory- and electrocardiogram-gated steady-state CMRA with modified Dixon (mDixon) fat suppression technique and compressed sensing in comparison to standard first-pass CMRA in pediatric patients with CHD at 3 T. METHODS In this retrospective single center study, pediatric CHD patients who underwent CMR with first-pass CMRA followed by mDixon steady-state CMRA at 3 T were analyzed. Image quality using a Likert scale from 5 (excellent) to 1 (non-diagnostic) and quality of fat suppression were assessed in consensus by two readers. Blood-to-tissue contrast and quantitative measurements of the thoracic vasculature were assessed separately by two readers. CMRA images were reevaluated by two readers for additional findings, which could be identified only on either one of the CMRA types. Paired Student t test, Wilcoxon test, and intraclass correlation coefficients (ICCs) were used for statistical analysis. RESULTS 32 patients with CHD (3.3 ± 1.7 years, 13 female) were included. Overall image quality of steady-state mDixon CMRA was higher compared to first-pass CMRA (4.5 ± 0.5 vs. 3.3 ± 0.5; P < 0.001). Blood-to-tissue contrast ratio of steady-state mDixon CMRA was comparable to first-pass CMRA (7.85 ± 4.75 vs. 6.35 ± 2.23; P = 0.133). Fat suppression of steady-state mDixon CMRA was perfect in 30/32 (94%) cases. Vessel diameters were greater in first-pass CMRA compared to steady-state mDixon CMRA with the greatest differences at the level of pulmonary arteries and veins (e.g., right pulmonary artery for reader 1: 10.4 ± 2.4 vs. 9.9 ± 2.3 mm, P < 0.001). Interobserver agreement was higher for steady-state mDixon CMRA for all measurements compared to first-pass CMRA (ICCs > 0.92). In 9/32 (28%) patients, 10 additional findings were identified on mDixon steady-state CMRA (e.g., partial anomalous venous return, abnormalities of coronary arteries, subclavian artery stenosis), which were not depicted using first-pass CMRA. CONCLUSIONS Steady-state mDixon CMRA offers a robust fat suppression, a high image quality, and diagnostic utility for the assessment of the thoracic vasculature in pediatric CHD patients.
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Affiliation(s)
- Narine Mesropyan
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Alexander Isaak
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Darius Dabir
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Christopher Hart
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Department of Pediatric Cardiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany
| | - Anton Faron
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Christoph Endler
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Dmitrij Kravchenko
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | | | - Claus C Pieper
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
| | - Daniel Kuetting
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany
| | - Ulrike I Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany
| | - Julian A Luetkens
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg- Campus 1, 53127, Bonn, Germany.
- Quantitative Imaging Lab Bonn (QILaB), Venusberg-Campus 1, 53127, Bonn, Germany.
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15
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Pop M. Cardiothoracic CTA in Infants Referred for Aortic Arch Evaluation-Retrospective Comparison of Iomeprol 350, Ioversol 350, Iopromide 370 and Iodixanol 320. CHILDREN (BASEL, SWITZERLAND) 2021; 8:children8110949. [PMID: 34828662 PMCID: PMC8623802 DOI: 10.3390/children8110949] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 10/14/2021] [Accepted: 10/20/2021] [Indexed: 11/16/2022]
Abstract
Background: Computed tomography angiography (CTA) in infants is considered one of the most challenging radiological examinations due to difficulties in balancing start delay, contrast agent (CA) volume and flow in order to achieve optimal opacification of the large vessels. This study aimed to compare the contrast enhancement achieved by four CAs when taking into consideration CA injection parameters and patient characteristics. Methods: We performed a retrospective assessment of forty-eight consecutive cardiothoracic CTAs performed for aortic arch evaluation on children aged 0–1 year. All examinations were performed using the same 64-slice scanner and power injector using the bolus tracking technique. Axial 0.6 mm slices were used to measure large vessel enhancement using regions of interest at the level of the main pulmonary artery, ascending and descending aorta. The recorded variables included anthropometric measurements, CA type, flow rate, volume, and the average Hounsfield unit (HU) values of the blood pool. Descriptive statistics are presented as averages and standard deviations (SD) for normal distributed data or otherwise as medians and interquartile ranges (IQRs). Results: We found no statistically significant differences between age and anthropometric parameters when looking at different CAs. The median CA volume was 7 (IQR, 7–9) mL with the average flow rate of 0.94 (SD, 0.23) mL/s. Ascending aorta average HU values were 605.9 (SD, 177.23) for Iomeprol 350, 626 (SD, 183.83) for Ioversol 350, 530.83 (SD, 175.56) for Iopromide 370 and 354.91 (SD, 115.81) for Iodixanol 320. The difference in HU value for Iodixanol 320 compared to the other CAs was statistically significant. Similar differences were found for the other vascular structures. Conclusion: In CTA of infants suspected of aortic arch hypoplasia/coarctation, Iodixanol 320 provided up to 40% less enhancement of the great vessels when compared to Iomeprol 350, Ioversol 350 and Iopromide 370.
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Affiliation(s)
- Marian Pop
- ME1 Department, “George Emil Palade” University of Medicine Pharmacy Sciences and Technology of Tirgu Mures, 540142 Tirgu Mures, Romania; ; Tel.: +40-749-260-920
- Radiology and Medical Imaging Department, Tirgu Mures Emergency Institute for Cardiovascular Diseases and Heart Transplant, 540136 Tirgu Mures, Romania
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