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Ohyama S, Kotani T, Iijima Y, Sunami T, Okuwaki S, Sakuma T, Ogata Y, Iwata S, Akazawa T, Inage K, Shiga Y, Minami S, Ohtori S. Association of Spinal Corrective Surgery With Abdominal Aorta Length in Patients With Adult Spinal Deformity. Cureus 2024; 16:e56341. [PMID: 38633933 PMCID: PMC11023531 DOI: 10.7759/cureus.56341] [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] [Accepted: 03/10/2024] [Indexed: 04/19/2024] Open
Abstract
Introduction This research aimed to explore the relationship between spinal characteristics and the length of the abdominal aorta in adult spinal deformity (ASD) patients who underwent corrective spinal surgery. We hypothesized that adjusting spinal alignment might affect the abdominal aorta's length. Methods This study included thirteen patients with ASD (average age: 63.0 ± 8.9 years; four males and nine females) who received spinal correction surgery. We measured both pre-operative and post-operative spinal parameters, including thoracolumbar kyphosis (TLK), and calculated their differences (Δ). The length of the aorta (AoL) was determined using an automated process that measures the central luminal line from the celiac artery's bifurcation to the inferior mesenteric artery. This measurement was made using contrast-enhanced computed tomography for three-dimensional aortic reconstruction. We compared the pre-operative and post-operative AoLs and their differences (Δ). The study examined the correlation between changes in spinal parameters and changes in AoL. Results Post-operatively, there was an increase in aortic length (ΔAoL: 4.2 ± 4.9 mm). There was a negative correlation between the change in TLK and the change in AoL (R2 = 0.45, p = 0.012, β = -0.21). No significant correlations were found with other spinal parameters. Conclusions The abdominal aorta can elongate by 4.8% after spinal corrective surgery in patients with ASD. The degree of elongation of the abdominal aorta is associated with spinal alignment correction.
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Affiliation(s)
- Shuhei Ohyama
- Department of Orthopedic Surgery, Seirei Sakura Citizen Hospital, Sakura, JPN
| | - Toshiaki Kotani
- Department of Orthopedic Surgery, Seirei Sakura Citizen Hospital, Sakura, JPN
| | - Yasushi Iijima
- Department of Orthopedic Surgery, Seirei Sakura Citizen Hospital, Sakura, JPN
| | - Takahiro Sunami
- Department of Orthopedic Surgery, University of Tsukuba, Tsukuba, JPN
| | - Shun Okuwaki
- Department of Orthopedic Surgery, University of Tsukuba, Tsukuba, JPN
| | - Tsuyoshi Sakuma
- Department of Orthopedic Surgery, Seirei Sakura Citizen Hospital, Sakura, JPN
| | - Yosuke Ogata
- Department of Orthopedic Surgery, Seirei Sakura Citizen Hospital, Sakura, JPN
| | - Shuhei Iwata
- Department of Orthopedic Surgery, Seirei Sakura Citizen Hospital, Sakura, JPN
| | - Tsutomu Akazawa
- Department of Orthopedic Surgery, St. Marianna University School of Medicine, Kawasaki, JPN
| | - Kazuhide Inage
- Department of Orthopedic Surgery, Chiba University, Graduate School of Medicine, Chiba, JPN
| | - Yasuhiro Shiga
- Department of Orthopedic Surgery, Chiba University, Graduate School of Medicine, Chiba, JPN
| | - Shohei Minami
- Department of Orthopedic Surgery, Seirei Sakura Citizen Hospital, Sakura, JPN
| | - Seiji Ohtori
- Department of Orthopedic Surgery, Chiba University, Graduate School of Medicine, Chiba, JPN
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2
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Bianchini E, Lønnebakken MT, Wohlfahrt P, Piskin S, Terentes‐Printzios D, Alastruey J, Guala A. Magnetic Resonance Imaging and Computed Tomography for the Noninvasive Assessment of Arterial Aging: A Review by the VascAgeNet COST Action. J Am Heart Assoc 2023; 12:e027414. [PMID: 37183857 PMCID: PMC10227315 DOI: 10.1161/jaha.122.027414] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Magnetic resonance imaging and computed tomography allow the characterization of arterial state and function with high confidence and thus play a key role in the understanding of arterial aging and its translation into the clinic. Decades of research into the development of innovative imaging sequences and image analysis techniques have led to the identification of a large number of potential biomarkers, some bringing improvement in basic science, others in clinical practice. Nonetheless, the complexity of some of these biomarkers and the image analysis techniques required for their computation hamper their widespread use. In this narrative review, current biomarkers related to aging of the aorta, their founding principles, the sequence, and postprocessing required, and their predictive values for cardiovascular events are summarized. For each biomarker a summary of reference values and reproducibility studies and limitations is provided. The present review, developed in the COST Action VascAgeNet, aims to guide clinicians and technical researchers in the critical understanding of the possibilities offered by these advanced imaging modalities for studying the state and function of the aorta, and their possible clinically relevant relationships with aging.
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Affiliation(s)
| | - Mai Tone Lønnebakken
- Department of Clinical ScienceUniversity of BergenBergenNorway
- Department of Heart DiseaseHaukeland University HospitalBergenNorway
| | - Peter Wohlfahrt
- Department of Preventive CardiologyInstitute for Clinical and Experimental MedicinePragueCzech Republic
- Centre for Cardiovascular PreventionCharles University Medical School I and Thomayer HospitalPragueCzech Republic
- Department of Medicine IICharles University in Prague, First Faculty of MedicinePragueCzech Republic
| | - Senol Piskin
- Department of Mechanical Engineering, Faculty of Engineering and Natural SciencesIstinye UniversityIstanbulTurkey
- Modeling, Simulation and Extended Reality LaboratoryIstinye UniversityIstanbulTurkey
| | - Dimitrios Terentes‐Printzios
- First Department of Cardiology, Hippokration Hospital, Athens Medical SchoolNational and Kapodistrian University of AthensGreece
| | - Jordi Alastruey
- School of Biomedical Engineering and Imaging SciencesKing’s College LondonLondonUK
| | - Andrea Guala
- Vall d’Hebron Institut de Recerca (VHIR)BarcelonaSpain
- CIBER‐CV, Instituto de Salud Carlos IIIMadridSpain
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3
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Xiang D, Qi J, Wen Y, Zhao H, Zhang X, Qin J, Ma X, Ren Y, Hu H, Liu W, Yang F, Zhao H, Wang X, Zheng C. ADSeg: A flap-attention-based deep learning approach for aortic dissection segmentation. PATTERNS (NEW YORK, N.Y.) 2023; 4:100727. [PMID: 37223272 PMCID: PMC10201300 DOI: 10.1016/j.patter.2023.100727] [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: 11/23/2022] [Revised: 01/16/2023] [Accepted: 03/14/2023] [Indexed: 05/25/2023]
Abstract
Accurate and rapid segmentation of the lumen in an aortic dissection (AD) is an important prerequisite for risk evaluation and medical planning for patients with this serious condition. Although some recent studies have pioneered technical advances for the challenging AD segmentation task, they generally neglect the intimal flap structure that separates the true and false lumens. Identification and segmentation of the intimal flap may simplify AD segmentation, and the incorporation of long-distance z axis information interaction along the curved aorta may improve segmentation accuracy. This study proposes a flap attention module that focuses on key flap voxels and performs operations with long-distance attention. In addition, a pragmatic cascaded network structure with feature reuse and a two-step training strategy are presented to fully exploit network representation power. The proposed ADSeg method was evaluated on a multicenter dataset of 108 cases, with or without thrombus; ADSeg outperformed previous state-of-the-art methods by a significant margin and was robust against center variation.
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Affiliation(s)
- Dongqiao Xiang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Jiyang Qi
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Yiqing Wen
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Hui Zhao
- Department of Interventional Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Xiaolin Zhang
- Department of Radiology, Yichang Central People’s Hospital, Yichang 443003, China
| | - Jia Qin
- Department of Radiology, Yichang Central People’s Hospital, Yichang 443003, China
| | - Xiaomeng Ma
- Department of Radiology, Jingzhou First People’s Hospital of Hubei province, Jingzhou 434000, China
| | - Yaguang Ren
- Research Laboratory for Biomedical Optics and Molecular Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Hongyao Hu
- Department of Interventional Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Wenyu Liu
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Fan Yang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Huangxuan Zhao
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
| | - Xinggang Wang
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Chuansheng Zheng
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan 430022, China
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4
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Mura J, Sotelo J, Mella H, Wong J, Hussain T, Ruijsink B, Uribe S. Non-invasive local pulse wave velocity using 4D-flow MRI. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2021.103259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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5
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Dietenbeck T, Houriez-Gombaud-Saintonge S, Charpentier E, Gencer U, Giron A, Gallo A, Boussouar S, Pasi N, Soulat G, Mousseaux E, Redheuil A, Kachenoura N. Quantitative magnetic resonance imaging measures of three-dimensional aortic morphology in healthy aging and hypertension. J Magn Reson Imaging 2021; 53:1471-1483. [PMID: 33426700 DOI: 10.1002/jmri.27502] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 12/18/2020] [Accepted: 12/18/2020] [Indexed: 01/16/2023] Open
Abstract
Automated segmentation of three-dimensional (3D) aortic magnetic resonance imaging (MRI) renders a possible retrospective selection of any location to perform quantification of aortic caliber perpendicular to its centerline and provides regional and global 3D biomarkers such as length, diameter, or volume. However, normative age-related values of such measures are still lacking. The aim of this study was to provide normal values for 3D aortic morphological measures and investigate their changes in aging and hypertension. This was a retrospective study, in which 119 healthy controls (HC: 48 ± 14 years, 61 men) and 82 hypertensive patients (HT: 60 ± 14 years, 43 men) were enrolled. 1.5 and 3 T/3D steady state free precession or spoiled gradient echo were used. Automated 3D aortic segmentation provided aortic length, diameter, volume for the ascending (AAo), and descending aorta (DAo), along with cross-sectional diameters at three aortic landmarks. Age, sex, body surface area (BSA), smoking, and blood pressures were recorded. Both groups were divided into two subgroups (≤50 years, >50 years). Statistical tests performed were linear regression for age-related normal values and confidence intervals, Wilcoxon rank sum test for differences between groups (HC or HT), and multivariate analysis to identify main determinants of aortic morphological changes. In HC, linear regression revealed an increase in the AAo (respectively DAo) length by 2.84 mm (7.78 mm), maximal diameter by 1.36 mm (1.29 mm), and volume by 4.28 ml (8.71 ml) per decade. AAo morphological measures were higher in HT patients than in HC both ≤50 years but did not reach statistical significance (length: +2 mm, p = 0.531; diameter: +1.4 mm, p = 0.2936; volume:+6.8 ml, p = 0.1857). However, length (+6 mm, p = 0.003), maximal diameter (+4 mm, p < 0.001) and volume (+12 ml, p < 0.001) were significantly higher in HT patients than in HC, both >50 years. In a multivariate analysis, age, sex, and BSA were the major determinants of aortic morphology, irrespective of the presence of hypertension. Global and segmental aortic length, volume, and diameters at specific landmarks were automatically measured from 3D MRI to serve as normative measures of 3D aortic morphology. Such indices increased significantly with age and hypertension among the elderly subjects. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 3.
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Affiliation(s)
- Thomas Dietenbeck
- Laboratoire d'Imagerie Biomédicale, Sorbonne Université, CNRS, INSERM, Paris, France.,Institute of Cardiometabolism and Nutrition (ICAN), Groupe Hospitalier Pitié Salpêtrière APHP, Paris, France
| | - Sophia Houriez-Gombaud-Saintonge
- Laboratoire d'Imagerie Biomédicale, Sorbonne Université, CNRS, INSERM, Paris, France.,Institute of Cardiometabolism and Nutrition (ICAN), Groupe Hospitalier Pitié Salpêtrière APHP, Paris, France.,ESME Sudria Research Lab, Paris, France
| | - Etienne Charpentier
- Laboratoire d'Imagerie Biomédicale, Sorbonne Université, CNRS, INSERM, Paris, France.,Institute of Cardiometabolism and Nutrition (ICAN), Groupe Hospitalier Pitié Salpêtrière APHP, Paris, France
| | - Umit Gencer
- PARCC, Université de Paris, INSERM, Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France
| | - Alain Giron
- Laboratoire d'Imagerie Biomédicale, Sorbonne Université, CNRS, INSERM, Paris, France
| | - Antonio Gallo
- Laboratoire d'Imagerie Biomédicale, Sorbonne Université, CNRS, INSERM, Paris, France.,Institute of Cardiometabolism and Nutrition (ICAN), Groupe Hospitalier Pitié Salpêtrière APHP, Paris, France
| | - Samia Boussouar
- Département d'Imagerie Cardiovasculaire DICVRIT, Institut de Cardiologie, Groupe Hospitalier Pitié Salpêtrière APHP, Paris, France
| | - Nicoletta Pasi
- Département d'Imagerie Cardiovasculaire DICVRIT, Institut de Cardiologie, Groupe Hospitalier Pitié Salpêtrière APHP, Paris, France
| | - Gilles Soulat
- PARCC, Université de Paris, INSERM, Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France
| | - Elie Mousseaux
- PARCC, Université de Paris, INSERM, Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Paris, France
| | - Alban Redheuil
- Laboratoire d'Imagerie Biomédicale, Sorbonne Université, CNRS, INSERM, Paris, France.,Institute of Cardiometabolism and Nutrition (ICAN), Groupe Hospitalier Pitié Salpêtrière APHP, Paris, France.,Département d'Imagerie Cardiovasculaire DICVRIT, Institut de Cardiologie, Groupe Hospitalier Pitié Salpêtrière APHP, Paris, France
| | - Nadjia Kachenoura
- Laboratoire d'Imagerie Biomédicale, Sorbonne Université, CNRS, INSERM, Paris, France.,Institute of Cardiometabolism and Nutrition (ICAN), Groupe Hospitalier Pitié Salpêtrière APHP, Paris, France
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6
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Sonnabend K, Brinker G, Maintz D, Bunck AC, Weiss K. Cerebrospinal fluid pulse wave velocity measurements: In vitro and in vivo evaluation of a novel multiband cine phase-contrast MRI sequence. Magn Reson Med 2020; 85:197-208. [PMID: 32783240 DOI: 10.1002/mrm.28430] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 05/27/2020] [Accepted: 06/23/2020] [Indexed: 12/28/2022]
Abstract
PURPOSE Intracranial and intraspinal compliance are parameters of interest in the diagnosis and prediction of treatment outcome in patients with normal pressure hydrocephalus and other forms of communicating hydrocephalus. A noninvasive method to estimate the spinal cerebrospinal fluid (CSF) pulse wave velocity (PWV) as a measure of compliance was developed using a multiband cine phase-contrast MRI sequence and a foot-to-foot algorithm. METHODS We used computational simulations to estimate the accuracy of the MRI acquisition and transit-time algorithm. In vitro measurements were performed to investigate the reproducibility and accuracy of the measurements under controlled conditions. In vivo measurements in 20 healthy subjects and 2 patients with normal pressure hydrocephalus were acquired to show the technical feasibility in a clinical setting. RESULTS Simulations showed a mean deviation of the calculated CSF PWV of 3.41% ± 2.68%. In vitro results were in line with theory, showing a square-root relation between PWV and transmural pressure and a good reproducibility with SDs of repeated measurements below 5%. Mean CSF PWV over all healthy subjects was 5.83 ± 3.36 m/s. The CSF PWV measurements in the patients with normal pressure hydrocephalus were distinctly higher before CSF shunt surgery (33.80 ± 6.75 m/s and 31.31 ± 7.82 m/s), with a decrease 5 days after CSF shunt surgery (15.69 ± 3.37 m/s). CONCLUSION This study evaluates the feasibility of CSF PWV measurements using a multiband cine phase-contrast MRI sequence. In vitro and in vivo measurements showed that this method is a potential tool for the noninvasive estimation of intraspinal compliance.
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Affiliation(s)
- Kristina Sonnabend
- Department of Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Gerrit Brinker
- Department of General Neurosurgery, Center for Neurosurgery, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - David Maintz
- Department of Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Alexander C Bunck
- Department of Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Kilian Weiss
- Department of Diagnostic and Interventional Radiology, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.,Philips GmbH, Hamburg, Germany
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7
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Abstract
OBJECTIVE Carotid-femoral pulse wave velocity (PWV) is considered the gold standard for arterial stiffness assessment in clinical practice. A large number of devices to measure PWV have been developed and validated. We reviewed different validation studies of PWV estimation techniques and assessed their conformity to the Artery Society Guidelines and the American Heart Association recommendations. METHODS Pubmed and Medline (1995-2017) were searched to identify PWV validation studies. Of the 96 article retrieved, 26 met the inclusion criteria. RESULTS Several devices had been developed and validated to noninvasively measure arterial stiffness, using applanation tonometry (SphygmoCor, PulsePen), piezoelectric mechanotransducers (Complior), cuff-based oscillometry (Arteriograph, Vicorder and Mobil-O-Graph), photodiode sensors (pOpmètre) and devices assessing brachial-ankle pulse wave velocity and cardiac-ankle PWV. Ultrasound technique and MRI remain confined to clinical research. Good agreement was found with the Artery Society Guidelines. Two studies (Complior, SphygmoCor Xcel) showed best adherence with the guidelines. In Arteriograph, MRI, ultrasound and SphygmoCor Xcel validation studies sample size was smaller than the minimum suggested by the guidelines. High discrepancies between devices were shown in distance estimation: in two studies (Arteriograph, Complior) path length was estimated in conformity to the guidelines. Transit time was calculated using the intersecting tangent method, but in two studies (Vicorder, pOpmètre) best agreement was found using the maximum of the second derivative. Six studies reached the accuracy level 'excellent' defined in the Artery guidelines. CONCLUSION Method to assess transit time and path length need validation in larger populations. Further studies are required in different risk population to implement clinical applicability of every device.
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8
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Zemtsovskaja G, Pilt K, Samarin A, Abina J, Meigas K, Viigimaa M. Construction of gender-specific regression models for aortic length estimation based on computed tomography images. HEALTH AND TECHNOLOGY 2020. [DOI: 10.1007/s12553-019-00391-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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9
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Manning WJ. Journal of Cardiovascular Magnetic Resonance: 2017/2018 in review. J Cardiovasc Magn Reson 2019; 21:79. [PMID: 31884956 PMCID: PMC6936125 DOI: 10.1186/s12968-019-0594-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 12/17/2019] [Indexed: 12/14/2022] Open
Abstract
There were 89 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR) in 2017, including 76 original research papers, 4 reviews, 5 technical notes, 1 guideline, and 3 corrections. The volume was down slightly from 2017 with a corresponding 15% decrease in manuscript submissions from 405 to 346 and thus reflects a slight increase in the acceptance rate from 25 to 26%. The decrease in submissions for the year followed the initiation of the increased author processing charge (APC) for Society for Cardiovascular Magnetic Resonance (SCMR) members for manuscripts submitted after June 30, 2018. The quality of the submissions continues to be high. The 2018 JCMR Impact Factor (which is published in June 2019) was slightly lower at 5.1 (vs. 5.46 for 2017; as published in June 2018. The 2018 impact factor means that on average, each JCMR published in 2016 and 2017 was cited 5.1 times in 2018. Our 5 year impact factor was 5.82.In accordance with Open-Access publishing guidelines of BMC, the JCMR articles are published on-line in a continuus fashion in the chronologic order of acceptance, with no collating of the articles into sections or special thematic issues. For this reason, over the years, the Editors have felt that it is useful for the JCMR audience to annually summarize the publications into broad areas of interest or themes, so that readers can view areas of interest in a single article in relation to each other and contemporaneous JCMR publications. In this publication, the manuscripts are presented in broad themes and set in context with related literature and previously published JCMR papers to guide continuity of thought within the journal. In addition, as in the past two years, I have used this publication to also convey information regarding the editorial process and as a "State of our JCMR."This is the 12th year of JCMR as an open-access publication with BMC (formerly known as Biomed Central). The timing of the JCMR transition to the open access platform was "ahead of the curve" and a tribute to the vision of Dr. Matthias Friedrich, the SCMR Publications Committee Chair and Dr. Dudley Pennell, the JCMR editor-in-chief at the time. The open-access system has dramatically increased the reading and citation of JCMR publications and I hope that you, our authors, will continue to send your very best, high quality manuscripts to JCMR for consideration. It takes a village to run a journal and I thank our very dedicated Associate Editors, Guest Editors, Reviewers for their efforts to ensure that the review process occurs in a timely and responsible manner. These efforts have allowed the JCMR to continue as the premier journal of our field. This entire process would also not be possible without the dedication and efforts of our managing editor, Diana Gethers. Finally, I thank you for entrusting me with the editorship of the JCMR as I begin my 4th year as your editor-in-chief. It has been a tremendous experience for me and the opportunity to review manuscripts that reflect the best in our field remains a great joy and highlight of my week!
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Affiliation(s)
- Warren J Manning
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
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10
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Tran A, Burkhardt B, Tandon A, Blumenschein S, van Engelen A, Cecelja M, Zhang S, Uribe S, Mura J, Greil G, Hussain T. Pediatric heterozygous familial hypercholesterolemia patients have locally increased aortic pulse wave velocity and wall thickness at the aortic root. Int J Cardiovasc Imaging 2019; 35:1903-1911. [PMID: 31209684 DOI: 10.1007/s10554-019-01626-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 05/10/2019] [Indexed: 01/02/2023]
Abstract
Familial hypercholesterolemia (FH) is an autosomal dominant disorder that affects 1 in 250 people. Aortic stiffness, measured by pulse wave velocity (PWV), is an independent predictor for cardiovascular events. Young FH patients are a unique group with early vessel wall disease that may serve to elucidate the determinants of aortic stiffness. We hypothesized that young FH patients would have early changes in aortic stiffness compared to healthy, age- and sex-matched reference values. Thirty-three FH patients ( ≥ 7 years age; mean age 14.6 ± 3.3 years; 26/33 on statin therapy) underwent cardiac MRI. PWV was determined using propagation of flow waveform from aortic arch phase contrast images. Distensibility and aortic wall thickness (AWT) were measured at the ascending, proximal descending, and diaphragmatic aorta. Ventricular volumes and left ventricular (LV) myocardial mass were measured from 2D cine images. These parameters were compared to age- and sex-matched reference values. FH patients had significantly higher PWV (4.5 ± 0.8 vs. 3.5 ± 0.3 m/s; p < 0.001), aortic distensibility, and ascending aortic wall thickness (1.37 ± 0.18 vs. 1.30 ± 0.02 mm; p < 0.05) compared to reference. There was no difference in aortic area or descending aortic wall thickness between groups. Young FH patients had aortic changes with increased aortic pulse wave velocity in the setting of increased aortic distensibility, accompanied by increased thickness of the ascending aortic wall. Presence of these early findings in young patients despite the majority being on statin therapy support enhanced screening and aggressive treatment of familial hypercholesterolemia to prevent potential future cardiovascular events.
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Affiliation(s)
- Andrew Tran
- Heart Institute, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 2003, Cincinnati, OH, 45229, USA.
| | | | - Animesh Tandon
- Division of Pediatric Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sarah Blumenschein
- Division of Pediatric Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Arna van Engelen
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Marina Cecelja
- Department of Clinical Pharmacology, King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, St Thomas' Hospital, London, UK
| | - Song Zhang
- Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sergio Uribe
- Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile.,Biomedical Imaging Center, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile.,Millennium Nucleus for Cardiovascular Magnetic Resonance, Ministry of Economy, Development, and Tourism, Santiago, Chile
| | - Joaquin Mura
- Millennium Nucleus for Cardiovascular Magnetic Resonance, Ministry of Economy, Development, and Tourism, Santiago, Chile.,Mechanical Engineering Department, Technical University Federico Santa Maria, Santiago, Chile
| | - Gerald Greil
- Division of Pediatric Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | - Tarique Hussain
- Division of Pediatric Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
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11
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Shahzad R, Shankar A, Amier R, Nijveldt R, Westenberg JJM, de Roos A, Lelieveldt BPF, van der Geest RJ. Quantification of aortic pulse wave velocity from a population based cohort: a fully automatic method. J Cardiovasc Magn Reson 2019; 21:27. [PMID: 31088480 PMCID: PMC6518670 DOI: 10.1186/s12968-019-0530-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 02/14/2019] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Aortic pulse wave velocity (PWV) is an indicator of aortic stiffness and is used as a predictor of adverse cardiovascular events. PWV can be non-invasively assessed using magnetic resonance imaging (MRI). PWV computation requires two components, the length of the aortic arch and the time taken for the systolic pressure wave to travel through the aortic arch. The aortic length is calculated using a multi-slice 3D scan and the transit time is computed using a 2D velocity encoded MRI (VE) scan. In this study we present and evaluate an automatic method to quantify the aortic pulse wave velocity using a large population-based cohort. METHODS For this study 212 subjects were retrospectively selected from a large multi-center heart-brain connection cohort. For each subject a multi-slice 3D scan of the aorta was acquired in an oblique-sagittal plane and a 2D VE scan acquired in a transverse plane cutting through the proximal ascending and descending aorta. PWV was calculated in three stages: (i) a multi-atlas-based segmentation method was developed to segment the aortic arch from the multi-slice 3D scan and subsequently estimate the length of the proximal aorta, (ii) an algorithm that delineates the proximal ascending and descending aorta from the time-resolved 2D VE scan and subsequently obtains the velocity-time flow curves was also developed, and (iii) automatic methods that can compute the transit time from the velocity-time flow curves were implemented and investigated. Finally the PWV was obtained by combining the aortic length and the transit time. RESULTS Quantitative evaluation with respect to the length of the aortic arch as well as the computed PWV were performend by comparing the results of the novel automatic method to those obtained manually. The mean absolute difference in aortic length obtained automatically as compared to those obtained manually was 3.3 ± 2.8 mm (p < 0.05), the manual inter-observer variability on a subset of 45 scans was 3.4 ± 3.4 mm (p = 0.49). Bland-Altman analysis between the automataic method and the manual methods showed a bias of 0.0 (-5.0,5.0) m/s for the foot-to-foot approach, -0.1 (-1.2, 1.1) and -0.2 (-2.6, 2.1) m/s for the half-max and the cross-correlation methods, respectively. CONCLUSION We proposed and evaluated a fully automatic method to calculate the PWV on a large set of multi-center MRI scans. It was observed that the overall results obtained had very good agreement with manual analysis. Our proposed automatic method would be very beneficial for large population based studies, where manual analysis requires a lot of manpower.
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Affiliation(s)
- Rahil Shahzad
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA The Netherlands
| | - Arun Shankar
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA The Netherlands
| | - Raquel Amier
- Department of Cardiology, VU University Medical Center, De Boelelaan 1117, Amsterdam, 1081 HV The Netherlands
| | - Robin Nijveldt
- Department of Cardiology, VU University Medical Center, De Boelelaan 1117, Amsterdam, 1081 HV The Netherlands
| | - Jos J. M. Westenberg
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA The Netherlands
| | - Albert de Roos
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA The Netherlands
| | - Boudewijn P. F. Lelieveldt
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA The Netherlands
- Intelligent Systems Department, Delft University of Technology, Van Mourik Broekmanweg 6, Delft, 2628 XE The Netherlands
| | - Rob J. van der Geest
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA The Netherlands
| | - on behalf of the Heart Brain Connection study group
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA The Netherlands
- Department of Cardiology, VU University Medical Center, De Boelelaan 1117, Amsterdam, 1081 HV The Netherlands
- Intelligent Systems Department, Delft University of Technology, Van Mourik Broekmanweg 6, Delft, 2628 XE The Netherlands
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Manning WJ. Journal of Cardiovascular Magnetic Resonance 2017. J Cardiovasc Magn Reson 2018; 20:89. [PMID: 30593280 PMCID: PMC6309095 DOI: 10.1186/s12968-018-0518-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 12/06/2018] [Indexed: 02/07/2023] Open
Abstract
There were 106 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR) in 2017, including 92 original research papers, 3 reviews, 9 technical notes, and 1 Position paper, 1 erratum and 1 correction. The volume was similar to 2016 despite an increase in manuscript submissions to 405 and thus reflects a slight decrease in the acceptance rate to 26.7%. The quality of the submissions continues to be high. The 2017 JCMR Impact Factor (which is published in June 2018) was minimally lower at 5.46 (vs. 5.71 for 2016; as published in June 2017), which is the second highest impact factor ever recorded for JCMR. The 2017 impact factor means that an average, each JCMR paper that were published in 2015 and 2016 was cited 5.46 times in 2017.In accordance with Open-Access publishing of Biomed Central, the JCMR articles are published on-line in continuus fashion and in the chronologic order of acceptance, with no collating of the articles into sections or special thematic issues. For this reason, over the years, the Editors have felt that it is useful to annually summarize the publications into broad areas of interest or theme, so that readers can view areas of interest in a single article in relation to each other and other contemporary JCMR articles. In this publication, the manuscripts are presented in broad themes and set in context with related literature and previously published JCMR papers to guide continuity of thought within the journal. In addition, I have elected to use this format to convey information regarding the editorial process to the readership.I hope that you find the open-access system increases wider reading and citation of your papers, and that you will continue to send your very best, high quality manuscripts to JCMR for consideration. I thank our very dedicated Associate Editors, Guest Editors, and Reviewers for their efforts to ensure that the review process occurs in a timely and responsible manner and that the JCMR continues to be recognized as the forefront journal of our field. And finally, I thank you for entrusting me with the editorship of the JCMR as I begin my 3rd year as your editor-in-chief. It has been a tremendous learning experience for me and the opportunity to review manuscripts that reflect the best in our field remains a great joy and highlight of my week!
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Affiliation(s)
- Warren J Manning
- Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA, 02215, USA.
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Dietenbeck T, Craiem D, Rosenbaum D, Giron A, De Cesare A, Bouaou K, Girerd X, Cluzel P, Redheuil A, Kachenoura N. 3D aortic morphology and stiffness in MRI using semi-automated cylindrical active surface provides optimized description of the vascular effects of aging and hypertension. Comput Biol Med 2018; 103:101-108. [DOI: 10.1016/j.compbiomed.2018.10.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 09/17/2018] [Accepted: 10/07/2018] [Indexed: 11/28/2022]
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14
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Cardiovascular MRI in Thoracic Aortopathy: A Focused Review of Recent Literature Updates. CURRENT RADIOLOGY REPORTS 2017. [DOI: 10.1007/s40134-017-0246-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Zardi EM, Di Geso L, Afeltra A, Zardi DM, Giorgi C, Salaffi F, Carotti M, Gutierrez M, Filippucci E, Grassi W. An ultrasound automated method for non-invasive assessment of carotid artery pulse wave velocity. J Investig Med 2017; 66:973-979. [PMID: 28866633 DOI: 10.1136/jim-2017-000430] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/30/2017] [Indexed: 12/29/2022]
Abstract
To validate the clinical applicability and feasibility of an automated ultrasound (US) method in measuring the arterial stiffness of patients with chronic inflammatory rheumatic diseases, comparing automated measurements performed by a rheumatologist without experience in vascular sonography with those obtained by a sonographer experienced in vascular US, using a standardized manual method. Twenty subjects affected by different chronic inflammatory rheumatic disorders were consecutively recruited. For each patient, the arterial stiffness of both common carotids was manually calculated. Subsequently, the measure of the pulse wave velocity (PWV) was obtained using an US device called Radio Frequency - Quality Arterial Stiffness (RF-QAS), provided by the same US system (ie, My Lab 70 XVG, Esaote SpA, Genoa, Italy) equipped with a 4-13 MHz linear probe. The reliability comparison between the two US methods was calculated using the intraclass correlation coefficient (ICC). ICC between the values obtained with the two methods for calculating the arterial stiffness resulted 0.789. A significant positive correlation between the two methods was also established with Pearson's (r=0.62, p<0.0001) and Spearman's analysis (r=0.66, p=0.001). A significant performance comparison was seen using Bland-Altman plot. The acquisition of the arterial stiffness parameter with the automated method required about 2 min for each patient. Clinical applicability of this US automated method to assess PWV at common carotid level by a rheumatologist is reliable and feasible in comparison with a conventional manual method.
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Affiliation(s)
- Enrico Maria Zardi
- Department of Immunorheumatology, Università "Campus Bio-Medico", Roma, Italy
| | - Luca Di Geso
- Department of Rheumatology, Polytechnic University of the Marche, Jesi - Ancona, Italy
| | - Antonella Afeltra
- Department of Immunorheumatology, Università "Campus Bio-Medico", Roma, Italy
| | - Domenico Maria Zardi
- Division of Cardiology, Faculty of Medicine and Psychology, University of Rome "Sapienza", Sant'Andrea Hospital, Rome, Italy
| | - Chiara Giorgi
- Department of Radiology, S. Maria della Misericordia Hospital, Urbino, Italy
| | - Fausto Salaffi
- Department of Rheumatology, Polytechnic University of the Marche, Jesi - Ancona, Italy
| | - Marina Carotti
- Istituto di Radiologia, Università Politecnica delle Marche, Ancona, Italy
| | - Marwin Gutierrez
- Division of Musculoskeletal and Rheumatic Diseases, Instituto Nacional de Rehabilitacion, Mexico City, Mexico
| | - Emilio Filippucci
- Department of Rheumatology, Polytechnic University of the Marche, Jesi - Ancona, Italy
| | - Walter Grassi
- Department of Rheumatology, Polytechnic University of the Marche, Jesi - Ancona, Italy
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