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Mazzolai L, Teixido-Tura G, Lanzi S, Boc V, Bossone E, Brodmann M, Bura-Rivière A, De Backer J, Deglise S, Della Corte A, Heiss C, Kałużna-Oleksy M, Kurpas D, McEniery CM, Mirault T, Pasquet AA, Pitcher A, Schaubroeck HAI, Schlager O, Sirnes PA, Sprynger MG, Stabile E, Steinbach F, Thielmann M, van Kimmenade RRJ, Venermo M, Rodriguez-Palomares JF. 2024 ESC Guidelines for the management of peripheral arterial and aortic diseases. Eur Heart J 2024; 45:3538-3700. [PMID: 39210722 DOI: 10.1093/eurheartj/ehae179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/04/2024] Open
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2
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Vos CG, Fouad F, Dieleman IM, Schuurmann RC, de Vries JPP. Importance of sac regression after EVAR and the role of EndoAnchors. THE JOURNAL OF CARDIOVASCULAR SURGERY 2024; 65:99-105. [PMID: 38551514 DOI: 10.23736/s0021-9509.24.12992-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2024]
Abstract
The initial success and widespread adoption of endovascular aneurysm repair (EVAR) for the treatment of abdominal aortic aneurysms have been tempered by numerous reports of secondary interventions and increased long-term mortality compared with open repair. Over the past decade, several studies on postoperative sac dynamics after EVAR have suggested that the presence of sac regression is a benign feature with a favorable prognosis. Conversely, increasing sacs and even stable sacs can be indicators of more unstable sac behavior with worse outcomes in the long-term. Endoleaks were initially perceived as the main drivers of sac behavior. However, the observation that sac regression can occur in the presence of endoleaks, and vice versa - increasing sacs without evidence of endoleak - on imaging studies, suggests the involvement of other contributing factors. These factors can be divided into anatomical factors, patient characteristics, sac thrombus composition, and device-related factors. The shift of interest away from especially type 2 endoleaks is further supported by promising results with the use of EndoAnchors regarding postoperative sac behavior. This review provides an overview of the existing literature on the implications and known risk factors of post-EVAR sac behavior, describes the accurate measurement of sac behavior, and discusses the use of EndoAnchors to promote sac regression.
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Affiliation(s)
- Cornelis G Vos
- Department of Surgery, Martini Hospital, Groningen, the Netherlands
| | - Fatima Fouad
- Division of Vascular Surgery, Department of Surgery, University Medical Center Groningen, Groningen, the Netherlands -
| | - Isabel M Dieleman
- Division of Vascular Surgery, Department of Surgery, University Medical Center Groningen, Groningen, the Netherlands
| | - Richte Cl Schuurmann
- Division of Vascular Surgery, Department of Surgery, University Medical Center Groningen, Groningen, the Netherlands
| | - Jean-Paul Pm de Vries
- Division of Vascular Surgery, Department of Surgery, University Medical Center Groningen, Groningen, the Netherlands
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3
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Ristow I, Riedel C, Lenz A, Well L, Adam G, Panuccio G, Kölbel T, Bannas P. Current Imaging Strategies in Patients with Abdominal Aortic Aneurysms. ROFO-FORTSCHR RONTG 2024; 196:52-61. [PMID: 37699431 DOI: 10.1055/a-2119-6448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2023]
Abstract
BACKGROUND An abdominal aortic aneurysm (AAA) is defined as a localized dilatation of the abdominal aorta of ≥ 3 cm. With a prevalence of 4-8 %, AAA is one of the most common vascular diseases in Western society. Radiological imaging is an elementary component in the diagnosis, monitoring, and treatment planning of AAA patients. METHOD This is a narrative review article on preoperative imaging strategies of AAA, incorporating expert opinions based on the current literature and standard-of-care practices from our own center. Examples are provided to illustrate clinical cases from our institution. RESULTS AND CONCLUSION Radiological imaging plays a pivotal role in the initial diagnosis and monitoring of patients with AAA. Ultrasound is the mainstay imaging modality for AAA screening and surveillance. Contrast-enhanced CT angiography is currently considered the gold standard for preoperative imaging and image-based treatment planning in AAA repair. New non-contrast MR angiography techniques are robustly applicable and allow precise determination of aortic diameters, which is of critical importance, particularly with regard to current diameter-based surgical treatment guidelines. 3D imaging with multiplanar reformation and automatic centerline positioning enables more accurate assessment of the maximum aortic diameter. Modern imaging techniques such as 4D flow MRI have the potential to further improve individualized risk stratification in patients with AAA. KEY POINTS · Ultrasound is the mainstay imaging modality for AAA screening and monitoring. · Contrast-enhanced CT angiography is the gold standard for preoperative imaging in AAA repair. · Non-contrast MR angiography allows for accurate monitoring of aortic diameters in AAA patients. · Measurement of aortic diameters is more accurate with 3D-CT/MRI compared to ultrasound. · Research seeks new quantitative imaging biomarkers for AAA risk stratification, e. g., using 4D flow MRI.
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Affiliation(s)
- Inka Ristow
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christoph Riedel
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alexander Lenz
- 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
| | - Gerhard Adam
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Giuseppe Panuccio
- German Aortic Center Hamburg, Department of Vascular Medicine, University Medical Center Hamburg-Eppendorf University Heart & Vascular Center, Hamburg, Germany
| | - Tilo Kölbel
- German Aortic Center Hamburg, Department of Vascular Medicine, University Medical Center Hamburg-Eppendorf University Heart & Vascular Center, Hamburg, Germany
| | - Peter Bannas
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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4
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Wang DS, Shen J, Majdalany BS, Khaja MS, Bhatti S, Ferencik M, Ganguli S, Gunn AJ, Heitner JF, Johri AM, Obara P, Ohle R, Sadeghi MM, Schermerhorn M, Siracuse JJ, Steenburg SD, Sutphin PD, Vijay K, Waite K, Steigner ML. ACR Appropriateness Criteria® Pulsatile Abdominal Mass, Suspected Abdominal Aortic Aneurysm: 2023 Update. J Am Coll Radiol 2023; 20:S513-S520. [PMID: 38040468 DOI: 10.1016/j.jacr.2023.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 08/22/2023] [Indexed: 12/03/2023]
Abstract
Abdominal aortic aneurysm (AAA) is defined as abnormal dilation of the infrarenal abdominal aortic diameter to 3.0 cm or greater. The natural history of AAA consists of progressive expansion and potential rupture. Although most AAAs are clinically silent, a pulsatile abdominal mass identified on physical examination may indicate the presence of an AAA. When an AAA is suspected, an imaging study is essential to confirm the diagnosis. This document reviews the relative appropriateness of various imaging procedures for the initial evaluation of suspected AAA. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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Affiliation(s)
- David S Wang
- Stanford University Medical Center, Stanford, California.
| | - Jody Shen
- Research Author, Stanford University Medical Center, Stanford, California
| | - Bill S Majdalany
- Panel Chair, University of Vermont Medical Center, Burlington, Vermont
| | - Minhaj S Khaja
- Panel Vice-Chair, University of Michigan, Ann Arbor, Michigan
| | - Salman Bhatti
- University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; Society for Cardiovascular Magnetic Resonance
| | - Maros Ferencik
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon; Society of Cardiovascular Computed Tomography
| | - Suvranu Ganguli
- Boston Medical Center/Boston University School of Medicine, Boston, Massachusetts
| | - Andrew J Gunn
- University of Alabama at Birmingham, Birmingham, Alabama
| | - John F Heitner
- New York University Langone Health, New York, New York; Society for Cardiovascular Magnetic Resonance
| | - Amer M Johri
- Queen's University, Kingston, Ontario, Canada; American Society of Echocardiography
| | - Piotr Obara
- NorthShore University HealthSystem, Evanston, Illinois
| | - Robert Ohle
- Northern Ontario School of Medicine, Sudbury, Ontario, Canada; American College of Emergency Physicians
| | - Mehran M Sadeghi
- Yale School of Medicine, New Haven, Connecticut; American Society of Nuclear Cardiology
| | - Marc Schermerhorn
- Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, Massachusetts; Society for Vascular Surgery
| | - Jeffrey J Siracuse
- Boston Medical Centers, Boston University, and Chobanian and Avedisian School of Medicine, Boston, Massachusetts; Society for Vascular Surgery
| | - Scott D Steenburg
- Indiana University School of Medicine and Indiana University Health, Indianapolis, Indiana; Committee on Emergency Radiology-GSER
| | | | - Kanupriya Vijay
- University of Texas Southwestern Medical Center, Dallas, Texas
| | - Kathleen Waite
- Duke University Medical Center, Durham, North Carolina, Primary care physician
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5
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Zhou A, Leach JR, Zhu C, Dong H, Jiang F, Lee YJ, Iannuzzi J, Gasper W, Saloner D, Hope MD, Mitsouras D. Dynamic Contrast-Enhanced MRI in Abdominal Aortic Aneurysms as a Potential Marker for Disease Progression. J Magn Reson Imaging 2023; 58:1258-1267. [PMID: 36747321 DOI: 10.1002/jmri.28640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 01/24/2023] [Accepted: 01/26/2023] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Abdominal aortic aneurysms (AAAs) may rupture before reaching maximum diameter (Dmax ) thresholds for repair. Aortic wall microvasculature has been associated with elastin content and rupture sites in specimens, but its relation to progression is unknown. PURPOSE To investigate whether dynamic contrast-enhanced (DCE) MRI of AAA is associated with Dmax or growth. STUDY TYPE Prospective. POPULATION A total of 27 male patients with infrarenal AAA (mean age ± standard deviation = 75 ± 5 years) under surveillance with DCE MRI and 2 years of prior follow-up intervals with computed tomography (CT) or MRI. FIELD STRENGTH/SEQUENCE A 3-T, dynamic three-dimensional (3D) fast gradient-echo stack-of-stars volumetric interpolated breath-hold examination (Star-VIBE). ASSESSMENT Wall voxels were manually segmented in two consecutive slices at the level of Dmax . We measured slope to 1-minute and area under the curve (AUC) to 1 minute and 4 minutes of the signal intensity change postcontrast relative to that precontrast arrival, and, Ktrans , a measure of microvascular permeability, using the Patlak model. These were averaged over all wall voxels for association to Dmax and growth rate, and, over left/right and anterior/posterior quadrants for testing circumferential homogeneity. Dmax was measured orthogonal to the aortic centerline and growth rate was calculated by linear fit of Dmax measurements. STATISTICAL TESTS Pearson correlation and linear mixed effects models. A P value <0.05 was considered statistically significant. RESULTS In 44 DCE MRIs, mean Dmax was 45 ± 7 mm and growth rate in 1.5 ± 0.4 years of prior follow-up was 1.7 ± 1.2 mm per year. DCE measurements correlated with each other (Pearson r = 0.39-0.99) and significantly differed between anterior/posterior versus left/right quadrants. DCE measurements were not significantly associated with Dmax (P = 0.084, 0.289, 0.054 and 0.255 for slope, AUC at 1 minute and 4 minutes, and Ktrans , respectively). Slope and 4 minutes AUC significantly associated with growth rate after controlling for Dmax . CONCLUSION Contrast uptake may be increased in lateral aspects of the AAA. Contrast enhancement 1-minute slope and 4-minutes AUC may be associated with a period of recent AAA growth that is independent of Dmax . EVIDENCE LEVEL 3. TECHNICAL EFFICACY Stage 2.
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Affiliation(s)
- Ang Zhou
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Joseph R Leach
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Chengcheng Zhu
- Department of Radiology, University of Washington, Seattle, Washington, USA
| | - Huiming Dong
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Fei Jiang
- Department of Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Yoo Jin Lee
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
| | - James Iannuzzi
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
- Department of Surgery, University of California San Francisco, San Francisco, California, USA
| | - Warren Gasper
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
- Department of Surgery, University of California San Francisco, San Francisco, California, USA
| | - David Saloner
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Michael D Hope
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
| | - Dimitrios Mitsouras
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA
- San Francisco Veterans Affairs Medical Center, San Francisco, California, USA
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6
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Ogino H, Iida O, Akutsu K, Chiba Y, Hayashi H, Ishibashi-Ueda H, Kaji S, Kato M, Komori K, Matsuda H, Minatoya K, Morisaki H, Ohki T, Saiki Y, Shigematsu K, Shiiya N, Shimizu H, Azuma N, Higami H, Ichihashi S, Iwahashi T, Kamiya K, Katsumata T, Kawaharada N, Kinoshita Y, Matsumoto T, Miyamoto S, Morisaki T, Morota T, Nanto K, Nishibe T, Okada K, Orihashi K, Tazaki J, Toma M, Tsukube T, Uchida K, Ueda T, Usui A, Yamanaka K, Yamauchi H, Yoshioka K, Kimura T, Miyata T, Okita Y, Ono M, Ueda Y. JCS/JSCVS/JATS/JSVS 2020 Guideline on Diagnosis and Treatment of Aortic Aneurysm and Aortic Dissection. Circ J 2023; 87:1410-1621. [PMID: 37661428 DOI: 10.1253/circj.cj-22-0794] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Affiliation(s)
- Hitoshi Ogino
- Department of Cardiovascular Surgery, Tokyo Medical University
| | - Osamu Iida
- Cardiovascular Center, Kansai Rosai Hospital
| | - Koichi Akutsu
- Cardiovascular Medicine, Nippon Medical School Hospital
| | - Yoshiro Chiba
- Department of Cardiology, Mito Saiseikai General Hospital
| | | | | | - Shuichiro Kaji
- Department of Cardiovascular Medicine, Kansai Electric Power Hospital
| | - Masaaki Kato
- Department of Cardiovascular Surgery, Morinomiya Hospital
| | - Kimihiro Komori
- Division of Vascular and Endovascular Surgery, Department of Surgery, Nagoya University Graduate School of Medicine
| | - Hitoshi Matsuda
- Department of Cardiovascular Surgery, National Cerebral and Cardiovascular Center
| | - Kenji Minatoya
- Department of Cardiovascular Surgery, Graduate School of Medicine, Kyoto University
| | | | - Takao Ohki
- Division of Vascular Surgery, Department of Surgery, The Jikei University School of Medicine
| | - Yoshikatsu Saiki
- Division of Cardiovascular Surgery, Graduate School of Medicine, Tohoku University
| | - Kunihiro Shigematsu
- Department of Vascular Surgery, International University of Health and Welfare Mita Hospital
| | - Norihiko Shiiya
- First Department of Surgery, Hamamatsu University School of Medicine
| | | | - Nobuyoshi Azuma
- Department of Vascular Surgery, Asahikawa Medical University
| | - Hirooki Higami
- Department of Cardiology, Japanese Red Cross Otsu Hospital
| | | | - Toru Iwahashi
- Department of Cardiovascular Surgery, Tokyo Medical University
| | - Kentaro Kamiya
- Department of Cardiovascular Surgery, Tokyo Medical University
| | - Takahiro Katsumata
- Department of Thoracic and Cardiovascular Surgery, Osaka Medical College
| | - Nobuyoshi Kawaharada
- Department of Cardiovascular Surgery, Sapporo Medical University School of Medicine
| | | | - Takuya Matsumoto
- Department of Vascular Surgery, International University of Health and Welfare
| | | | - Takayuki Morisaki
- Department of General Medicine, IMSUT Hospital, the Institute of Medical Science, the University of Tokyo
| | - Tetsuro Morota
- Department of Cardiovascular Surgery, Nippon Medical School Hospital
| | | | - Toshiya Nishibe
- Department of Cardiovascular Surgery, Tokyo Medical University
| | - Kenji Okada
- Department of Surgery, Division of Cardiovascular Surgery, Kobe University Graduate School of Medicine
| | | | - Junichi Tazaki
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University
| | - Masanao Toma
- Department of Cardiology, Hyogo Prefectural Amagasaki General Medical Center
| | - Takuro Tsukube
- Department of Cardiovascular Surgery, Japanese Red Cross Kobe Hospital
| | - Keiji Uchida
- Cardiovascular Center, Yokohama City University Medical Center
| | - Tatsuo Ueda
- Department of Radiology, Nippon Medical School
| | - Akihiko Usui
- Department of Cardiac Surgery, Nagoya University Graduate School of Medicine
| | - Kazuo Yamanaka
- Cardiovascular Center, Nara Prefecture General Medical Center
| | - Haruo Yamauchi
- Department of Cardiac Surgery, The University of Tokyo Hospital
| | | | - Takeshi Kimura
- Department of Cardiovascular Medicine, Graduate School of Medicine, Kyoto University
| | | | - Yutaka Okita
- Department of Surgery, Division of Cardiovascular Surgery, Kobe University Graduate School of Medicine
| | - Minoru Ono
- Department of Cardiac Surgery, Graduate School of Medicine, The University of Tokyo
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7
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Contrella BN, Khaja MS, Majdalany BS, Kim CY, Kalva SP, Beck AW, Browne WF, Clough RE, Ferencik M, Fleischman F, Gunn AJ, Hickey SM, Kandathil A, Kim KM, Monroe EJ, Ochoa Chaar CI, Scheidt MJ, Smolock AR, Steenburg SD, Waite K, Pinchot JW, Steigner ML. ACR Appropriateness Criteria® Thoracoabdominal Aortic Aneurysm or Dissection: Treatment Planning and Follow-Up. J Am Coll Radiol 2023; 20:S265-S284. [PMID: 37236748 DOI: 10.1016/j.jacr.2023.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 02/27/2023] [Indexed: 05/28/2023]
Abstract
As the incidence of thoracoabdominal aortic pathology (aneurysm and dissection) rises and the complexity of endovascular and surgical treatment options increases, imaging follow-up of patients remains crucial. Patients with thoracoabdominal aortic pathology without intervention should be monitored carefully for changes in aortic size or morphology that could portend rupture or other complication. Patients who are post endovascular or open surgical aortic repair should undergo follow-up imaging to evaluate for complications, endoleak, or recurrent pathology. Considering the quality of diagnostic data, CT angiography and MR angiography are the preferred imaging modalities for follow-up of thoracoabdominal aortic pathology for most patients. The extent of thoracoabdominal aortic pathology and its potential complications involve multiple regions of the body requiring imaging of the chest, abdomen, and pelvis in most patients. The ACR Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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Affiliation(s)
| | | | - Bill S Majdalany
- Panel Chair, University of Vermont Medical Center, Burlington, Vermont
| | - Charles Y Kim
- Panel Chair, Duke University Medical Center, Durham, North Carolina
| | - Sanjeeva P Kalva
- Panel Vice-Chair, Massachusetts General Hospital, Boston, Massachusetts
| | - Adam W Beck
- University of Alabama at Birmingham Medical Center, Birmingham, Alabama; Society for Vascular Surgery
| | | | - Rachel E Clough
- St Thomas' Hospital, King's College, School of Biomedical Engineering and Imaging Science, London, United Kingdom; Society for Cardiovascular Magnetic Resonance
| | - Maros Ferencik
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon; Society of Cardiovascular Computed Tomography
| | - Fernando Fleischman
- Keck School of Medicine of USC, Los Angeles, California; American Association for Thoracic Surgery
| | - Andrew J Gunn
- University of Alabama at Birmingham, Birmingham, Alabama
| | - Sean M Hickey
- David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California; American College of Emergency Physicians
| | - Asha Kandathil
- UT Southwestern Medical Center, Dallas, Texas; Commission on Nuclear Medicine and Molecular Imaging
| | - Karen M Kim
- University of Michigan, Ann Arbor, Michigan; The Society of Thoracic Surgeons
| | | | | | | | - Amanda R Smolock
- Froedtert & The Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Scott D Steenburg
- Indiana University School of Medicine and Indiana University Health, Indianapolis, Indiana; Committee on Emergency Radiology-GSER
| | - Kathleen Waite
- Duke University Medical Center, Durham, North Carolina, Primary care physician
| | - Jason W Pinchot
- Specialty Chair, University of Wisconsin, Madison, Wisconsin
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8
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Contrast-enhanced CT radiomics improves the prediction of abdominal aortic aneurysm progression. Eur Radiol 2023; 33:3444-3454. [PMID: 36920519 DOI: 10.1007/s00330-023-09490-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 12/06/2022] [Accepted: 01/27/2023] [Indexed: 03/16/2023]
Abstract
OBJECTIVES To determine if three-dimensional (3D) radiomic features of contrast-enhanced CT (CECT) images improve prediction of rapid abdominal aortic aneurysm (AAA) growth. METHODS This longitudinal cohort study retrospectively analyzed 195 consecutive patients (mean age, 72.4 years ± 9.1) with a baseline CECT and a subsequent CT or MR at least 6 months later. 3D radiomic features were measured for 3 regions of the AAA, viz. the vessel lumen only; the intraluminal thrombus (ILT) and aortic wall only; and the entire AAA sac (lumen, ILT, and wall). Multiple machine learning (ML) models to predict rapid growth, defined as the upper tercile of observed growth (> 0.25 cm/year), were developed using data from 60% of the patients. Diagnostic accuracy was evaluated using the area under the receiver operating characteristic curve (AUC) in the remaining 40% of patients. RESULTS The median AAA maximum diameter was 3.9 cm (interquartile range [IQR], 3.3-4.4 cm) at baseline and 4.4 cm (IQR, 3.7-5.4 cm) at the mean follow-up time of 3.2 ± 2.4 years (range, 0.5-9 years). A logistic regression model using 7 radiomic features of the ILT and wall had the highest AUC (0.83; 95% confidence interval [CI], 0.73-0.88) in the development cohort. In the independent test cohort, this model had a statistically significantly higher AUC than a model including maximum diameter, AAA volume, and relevant clinical factors (AUC = 0.78, 95% CI, 0.67-0.87 vs AUC = 0.69, 95% CI, 0.57-0.79; p = 0.04). CONCLUSION A radiomics-based method focused on the ILT and wall improved prediction of rapid AAA growth from CECT imaging. KEY POINTS • Radiomic analysis of 195 abdominal CECT revealed that an ML-based model that included textural features of intraluminal thrombus (if present) and aortic wall improved prediction of rapid AAA progression compared to maximum diameter. • Predictive accuracy was higher when radiomic features were obtained from the thrombus and wall as opposed to the entire AAA sac (including lumen), or the lumen alone. • Logistic regression of selected radiomic features yielded similar accuracy to predict rapid AAA progression as random forests or support vector machines.
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9
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Wang J, Deng W, Lv Q, Li Y, Liu T, Xie M. Aortic Dilatation in Patients With Bicuspid Aortic Valve. Front Physiol 2021; 12:615175. [PMID: 34295254 PMCID: PMC8290129 DOI: 10.3389/fphys.2021.615175] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 06/03/2021] [Indexed: 12/16/2022] Open
Abstract
Bicuspid aortic valve (BAV) is the most common congenital cardiac abnormality. BAV aortic dilatation is associated with an increased risk of adverse aortic events and represents a potentially lethal disease and hence a considerable medical burden. BAV with aortic dilatation warrants frequent monitoring, and elective surgical intervention is the only effective method to prevent dissection or rupture. The predictive value of the aortic diameter is known to be limited. The aortic diameter is presently still the main reference standard for surgical intervention owing to the lack of a comprehensive understanding of BAV aortopathy progression. This article provides a brief comprehensive review of the current knowledge on BAV aortopathy regarding clinical definitions, epidemiology, natural course, and pathophysiology, as well as hemodynamic and clinically significant aspects on the basis of the limited data available.
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Affiliation(s)
- Jing Wang
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Wenhui Deng
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Qing Lv
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yuman Li
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Tianshu Liu
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Mingxing Xie
- Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Research Center for Medical Imaging in Hubei Province, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
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10
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Leach JR, Zhu C, Mitsouras D, Saloner D, Hope MD. Abdominal aortic aneurysm measurement at CT/MRI: potential clinical ramifications of non-standardized measurement technique and importance of multiplanar reformation. Quant Imaging Med Surg 2021; 11:823-830. [PMID: 33532280 DOI: 10.21037/qims-20-888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Accurate and reproducible measurement of abdominal aortic aneurysm (AAA) size is an essential component of patient management, and most reliably performed at CT using a multiplanar reformat (MPR) strategy. This approach is not universal, however. This study aims to characterize the measurement error present in routine clinical assessment of AAAs and the potential clinical ramifications. Patients were included if they had AAA assessed by CT and/or MRI at two time points at least 6 months apart. Clinical maximal AAA diameter, assessed by non-standardized methods, was abstracted from the radiology report at each time point and compared to the reference aneurysm diameter measured using a MPR strategy. Discrepancies between clinical and reference diameters, and associated aneurysm enlargement rates were analyzed. Two hundred thirty patients were included, with average follow-up 3.3±2.5 years. When compared to MPR-derived diameters, clinical aneurysm measurement inaccuracy was, on average, 3.3 mm. Broad limits of agreement were found for both clinical diameters [-6.7 to +6.5 mm] and aneurysm enlargement rates [-4.6 to +4.2 mm/year] when compared to MPR-based measures. Of 78 AAAs measuring 5-6 cm by the MPR method, 21 (26.9%) were misclassified by the clinical measurement with respect to a common repair threshold (5.5 cm), of which 5 were misclassified as below, and 16 were misclassified as above the threshold. The clinical use of non-standardized AAA measurement strategies can lead to incorrect classification of AAAs as larger or smaller than the commonly accepted repair threshold of 5.5 cm and can induce large errors in quantification of aneurysm enlargement rate.
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Affiliation(s)
- Joseph R Leach
- University of California, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Chengcheng Zhu
- University of California, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Dimitrios Mitsouras
- University of California, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - David Saloner
- University of California, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Michael D Hope
- University of California, San Francisco Veterans Affairs Medical Center, San Francisco, CA, USA
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Pennig L, Wagner A, Weiss K, Lennartz S, Huntgeburth M, Hickethier T, Maintz D, Naehle CP, Bunck AC, Doerner J. Comparison of a novel Compressed SENSE accelerated 3D modified relaxation-enhanced angiography without contrast and triggering with CE-MRA in imaging of the thoracic aorta. Int J Cardiovasc Imaging 2021; 37:315-329. [PMID: 32852711 PMCID: PMC7878228 DOI: 10.1007/s10554-020-01979-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 08/19/2020] [Indexed: 12/13/2022]
Abstract
To compare a novel Compressed SENSE accelerated ECG- and respiratory-triggered flow-independent 3D isotropic Relaxation-Enhanced Angiography without Contrast and Triggering (modified REACT) with standard non-ECG-triggered 3D contrast-enhanced magnetic resonance angiography (CE-MRA) for imaging of the thoracic aorta in patients with connective tissue diseases (CTD) or other aortic diseases using manual and semiautomatic measurement approaches. This retrospective, single-center analysis of 30 patients (June-December 2018) was conducted by two radiologists, who independently measured aortic diameters on modified REACT and CE-MRA using manual (Multiplanar-Reconstruction) and semiautomatic (Advanced Vessel Analysis) measurement tools on seven levels (inner edge): Aortic annulus and sinus, sinotubular junction, mid- and high-ascending aorta, aortic isthmus, and descending aorta. Bland-Altman analysis was conducted to evaluate differences between the mean values of aortic width and ICCs were calculated to assess interobserver agreement. For each level, image quality was evaluated on a four-point scale in consensus with Wilcoxon matched-pair test used to evaluate for differences between both MRA techniques. Additionally, evaluation time for each measurement technique was noted, which was compared applying one-way ANOVA. When comparing both imaging and measurement methods, CE-MRA (mean difference 0.24 ± 0.27 mm) and the AVA-tool (- 0.21 ± 0.15 mm) yielded higher differences compared to modified REACT (- 0.11 ± 0.11 mm) and the MPR-tool (0.07 ± 0.21 mm) for all measurement levels combined without yielding clinical significance. There was an excellent interobserver agreement between modified REACT and CE-MRA using both tools of measurement (ICC > 0.9). Modified REACT (average acquisition time 06:34 ± 01:36 min) provided better image quality from aortic annulus to mid-ascending aorta (p < 0.05), whereas at distal measurement levels, no significant differences were noted. Regarding time requirement, no statistical significance was found between both measurement techniques (p = 0.08). As a novel non-CE-MRA technique, modified REACT allows for fast imaging of the thoracic aorta with higher image quality in the proximal aorta than CE-MRA enabling a reliable measurement of vessel dimensions without the need for contrast agent. Thus, it represents a clinically suitable alternative for patients requiring repetitive imaging. Manual and semiautomatic measurement approaches provided comparable results without significant difference in time need.
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Affiliation(s)
- Lenhard Pennig
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
| | - Anton Wagner
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | | | - Simon Lennartz
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA, 02114, USA
- Else Kröner Forschungskolleg Clonal Evolution in Cancer, University Hospital Cologne, Weyertal 115b, 50937, Cologne, Germany
| | - Michael Huntgeburth
- Adult Congenital Heart Disease (ACHD) Center, Clinic III for Internal Medicine, Department of Cardiology, Heart Center, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Tilman Hickethier
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - David Maintz
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Claas Philip Naehle
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Alexander Christian Bunck
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
| | - Jonas Doerner
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Straße 62, 50937, Cologne, Germany
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Computer-aided quantification of non-contrast 3D black blood MRI as an efficient alternative to reference standard manual CT angiography measurements of abdominal aortic aneurysms. Eur J Radiol 2020; 134:109396. [PMID: 33217686 DOI: 10.1016/j.ejrad.2020.109396] [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: 07/29/2020] [Revised: 10/12/2020] [Accepted: 11/02/2020] [Indexed: 11/20/2022]
Abstract
BACKGROUND Non-contrast 3D black blood MRI is a promising tool for abdominal aortic aneurysm (AAA) surveillance, permitting accurate aneurysm diameter measurements needed for patient management. PURPOSE To evaluate whether automated AAA volume and diameter measurements obtained from computer-aided segmentation of non-contrast 3D black blood MRI are accurate, and whether they can supplant reference standard manual measurements from contrast-enhanced CT angiography (CTA). MATERIALS AND METHODS Thirty AAA patients (mean age, 71.9 ± 7.9 years) were recruited between 2014 and 2017. Participants underwent both non-contrast black blood MRI and CTA within 3 months of each other. Semi-automatic (computer-aided) MRI and CTA segmentations utilizing deformable registration methods were compared against manual segmentations of the same modality using the Dice similarity coefficient (DSC). AAA lumen and total aneurysm volumes and AAA maximum diameter, quantified automatically from these segmentations, were compared against manual measurements using Pearson correlation and Bland-Altman analyses. Finally, automated measurements from non-contrast 3D black blood MRI were evaluated against manual CTA measurements using the Wilcoxon test, Pearson correlation and Bland-Altman analyses. RESULTS Semi-automatic segmentations had excellent agreement with manual segmentations (lumen DSC: 0.91 ± 0.03 and 0.94 ± 0.03; total aneurysm DSC: 0.92 ± 0.02 and 0.94 ± 0.03, for black blood MRI and CTA, respectively). Automated volume and maximum diameter measurements also had excellent correlation to their manual counterparts for both black blood MRI (volume: r = 0.99, P < 0.001; diameter: r = 0.97, P < 0.001) and CTA (volume: r = 0.99, P < 0.001; diameter: r = 0.97, P < 0.001). Compared to manual CTA measurements, bias and limits of agreement (LOA) for automated MRI measurements (lumen volume: 1.49, [-4.19 7.17] cm3; outer wall volume: -2.46, [-14.05 9.13] cm3; maximal diameter: 0.08, [-6.51 6.67] mm) were largely equivalent to those of manual MRI measurements, particularly for maximum AAA diameter (lumen volume: 0.73, [-6.47 7.93] cm3; outer wall volume: 0.98, [-10.54 12.5] cm3; maximal diameter: 0.08, [-3.67 3.83] mm). CONCLUSION Semi-automatic segmentation of non-contrast 3D black blood MRI efficiently provides reproducible morphologic AAA assessment yielding accurate AAA diameters and volumes with no clinically relevant differences compared to either automatic or manual measurements based on CTA.
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Wang Y, Zhu C, Leach J, Gasper W, Saloner D, Hope M. Growth of common iliac artery aneurysms coexisting with abdominal aortic aneurysms: associated factors and potential role of intraluminal thrombus. Quant Imaging Med Surg 2020; 10:703-712. [PMID: 32269930 PMCID: PMC7136736 DOI: 10.21037/qims.2020.02.12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 02/07/2020] [Indexed: 08/30/2023]
Abstract
BACKGROUND The factors influencing common iliac artery aneurysm (CIA) growth are not fully known. Intraluminal thrombus (ILT) has been studied as a marker of growth in abdominal aortic aneurysms (AAA), but its role in CIAs is unknown. This study aims to examine the factors associated with growth of CIAs coexistent with AAA using serial cross-sectional imaging (CT and MRI) with multiplanar reconstruction (MPR). METHODS Patients with synchronous AAA and CIA observed at contrast-enhanced CT or MRI were included. The maximal diameters of both CIA and AAA were measured using MPR. Correlation of the baseline aneurysm diameter and growth rate between CIA and AAA was evaluated. Multivariate regression analysis was used to investigate the factors associated with CIA growth. RESULTS Seventy-five AAA patients (age 74±9 years; all male) with 100 CIAs were followed for an average of 2.2±1.2 years. CIA and AAA growth were positively correlated (r=0.39, P<0.001). Multivariate analysis showed that CIA baseline diameter, AAA baseline diameter, and smoking were positively related to CIA growth. In 2-3 cm CIAs (n=59), ILT tends to be an independent predictor of AAA growth (P=0.076), and CIAs with ILT grow at more than twice the rate of CIAs without ILT (1.7 vs. 0.8 mm/year, P=0.036), despite similar baseline diameters. CONCLUSIONS CIA baseline diameter, coexisting AAA baseline diameter, and smoking are associated with CIA growth. In CIAs measuring 2-3 cm, the presence of ILT is associated with faster growth, and should be taken into account when determining surveillance intervals and timing of intervention for patients being considered for AAA repair.
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Affiliation(s)
- Yuting Wang
- Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Chengcheng Zhu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Joseph Leach
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Warren Gasper
- Department of Surgery, University of California, San Francisco, CA, USA
| | - David Saloner
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Michael Hope
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
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Zhu C, Leach JR, Wang Y, Gasper W, Saloner D, Hope MD. Intraluminal Thrombus Predicts Rapid Growth of Abdominal Aortic Aneurysms. Radiology 2020; 294:707-713. [PMID: 31990263 DOI: 10.1148/radiol.2020191723] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Intraluminal thrombus (ILT) within abdominal aortic aneurysms (AAAs) may be a potential marker for subsequent aneurysm growth. Purpose To investigate the role of ILT in AAA progression as assessed with CT and MRI. Materials and Methods This was a retrospective study, with patient data included from January 2004 to December 2018 at a Veteran Affairs medical center. Male patients with AAA who underwent contrast material-enhanced CT at baseline and CT or black-blood MRI at follow-up (minimal follow-up duration of 6 months) were included. The maximal AAA diameter was measured with multiplanar reconstruction, and the annual growth rate of aneurysms was calculated. Uni- and multivariable linear regression analyses were used to determine the relationship between demographic and imaging factors and aneurysm growth. Results A total of 225 patients (mean age, 72 years ± 9 [standard deviation]) were followed for a mean of 3.3 years ± 2.5. A total of 207 patients were followed up with CT, and 18 were followed up with MRI. At baseline, the median size of the AAA was 3.8 cm (interquartile range [IQR], 3.3-4.3 cm); 127 of 225 patients (54.7%) had ILT. When compared with AAAs without ILT, AAAs with ILT had larger baseline diameters (median, 4.1 cm [IQR, 3.6-4.8 cm] vs 3.4 cm [IQR, 3.2-3.9 cm]; P < .001) and faster growth rates (median, 2.0 mm/y [IQR, 1.3-3.2 mm/y] vs 1.0 mm/y [IQR, 0.4-1.8 mm/y]; P < .001). Small AAAs (size range, 3-4 cm) with ILT grew 1.9-fold faster than did those without ILT (median, 1.5 mm/y [IQR, 0.9-2.7 mm/y] vs 0.8 mm/y [IQR, 0.3-1.5 mm/y]; P < .001). Medium AAAs (size range, 4-5 cm) with ILT had 1.2-fold faster growth than did those without ILT (median growth, 2.1 mm/y [IQR, 1.4, 3.7 mm/y] vs 1.8 mm/y [IQR, 0.9, 2.0 mm/y]; P = .06). In multivariable analysis, baseline diameter and ILT were independently positively related to aneurysm growth rate (standardized regression coefficient, 0.43 [P < .001] and 0.15 [P = .02], respectively). Conclusion Both maximal cross-sectional aneurysm diameter and the presence of intraluminal thrombus are independent predictors of abdominal aortic aneurysm growth. © RSNA, 2020 Online supplemental material is available for this article.
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Affiliation(s)
- Chengcheng Zhu
- From the Departments of Radiology and Biomedical Imaging (C.Z., J.R.L., D.S., M.D.H.) and Surgery (W.G.), University of California, San Francisco, 4150 Clement St, San Francisco, CA 94121; and Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China (Y.W.)
| | - Joseph R Leach
- From the Departments of Radiology and Biomedical Imaging (C.Z., J.R.L., D.S., M.D.H.) and Surgery (W.G.), University of California, San Francisco, 4150 Clement St, San Francisco, CA 94121; and Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China (Y.W.)
| | - Yuting Wang
- From the Departments of Radiology and Biomedical Imaging (C.Z., J.R.L., D.S., M.D.H.) and Surgery (W.G.), University of California, San Francisco, 4150 Clement St, San Francisco, CA 94121; and Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China (Y.W.)
| | - Warren Gasper
- From the Departments of Radiology and Biomedical Imaging (C.Z., J.R.L., D.S., M.D.H.) and Surgery (W.G.), University of California, San Francisco, 4150 Clement St, San Francisco, CA 94121; and Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China (Y.W.)
| | - David Saloner
- From the Departments of Radiology and Biomedical Imaging (C.Z., J.R.L., D.S., M.D.H.) and Surgery (W.G.), University of California, San Francisco, 4150 Clement St, San Francisco, CA 94121; and Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China (Y.W.)
| | - Michael D Hope
- From the Departments of Radiology and Biomedical Imaging (C.Z., J.R.L., D.S., M.D.H.) and Surgery (W.G.), University of California, San Francisco, 4150 Clement St, San Francisco, CA 94121; and Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China (Y.W.)
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Leach JR, Kao E, Zhu C, Saloner D, Hope MD. On the Relative Impact of Intraluminal Thrombus Heterogeneity on Abdominal Aortic Aneurysm Mechanics. J Biomech Eng 2019; 141:111010. [PMID: 31253989 PMCID: PMC6808003 DOI: 10.1115/1.4044143] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 06/14/2019] [Indexed: 01/31/2023]
Abstract
Intraluminal thrombus (ILT) is present in the majority of abdominal aortic aneurysms (AAA) of a size warranting consideration for surgical or endovascular intervention. The rupture risk of AAAs is thought to be related to the balance of vessel wall strength and the mechanical stress caused by systemic blood pressure. Previous finite element analyses of AAAs have shown that ILT can reduce and homogenize aneurysm wall stress. These works have largely considered ILT to be homogeneous in mechanical character or have idealized a stiffness distribution through the thrombus thickness. In this work, we use magnetic resonance imaging (MRI) to delineate the heterogeneous composition of ILT in 7 AAAs and perform patient-specific finite element analysis under multiple conditions of ILT layer stiffness disparity. We find that explicit incorporation of ILT heterogeneity in the finite element analysis is unlikely to substantially alter major stress analysis predictions regarding aneurysm rupture risk in comparison to models assuming a homogenous thrombus, provided that the maximal ILT stiffness is the same between models. Our results also show that under a homogeneous ILT assumption, the choice of ILT stiffness from values common in the literature can result in significantly larger variations in stress predictions compared to the effects of thrombus heterogeneity.
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Affiliation(s)
- Joseph R Leach
- Department of Radiology andBiomedical Imaging,University of California, San Francisco,513 Parnassus Avenue Suite S-261,Box 0628,San Francisco, CA 94143e-mail:
| | - Evan Kao
- Department of Radiology andBiomedical Imaging,University of California, San Francisco,San Francisco, CA 94143e-mail:
| | - Chengcheng Zhu
- Department of Radiology andBiomedical Imaging,University of California, San Francisco,San Francisco, CA 94143e-mail:
| | - David Saloner
- Department of Radiology andBiomedical Imaging,University of California, San Francisco,San Francisco, CA 94143e-mail:
| | - Michael D Hope
- Department of Radiology andBiomedical Imaging,University of California, San Francisco,San Francisco, CA 94143e-mail:
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Zhu C, Cao L, Wen Z, Ahn S, Raithel E, Forman C, Hope M, Saloner D. Surveillance of abdominal aortic aneurysm using accelerated 3D non-contrast black-blood cardiovascular magnetic resonance with compressed sensing (CS-DANTE-SPACE). J Cardiovasc Magn Reson 2019; 21:66. [PMID: 31660983 PMCID: PMC6816154 DOI: 10.1186/s12968-019-0571-2] [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: 03/26/2019] [Accepted: 08/27/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND 3D non-contrast high-resolution black-blood cardiovascular magnetic resonance (CMR) (DANTE-SPACE) has been used for surveillance of abdominal aortic aneurysm (AAA) and validated against computed tomography (CT) angiography. However, it requires a long scan time of more than 7 min. We sought to develop an accelerated sequence applying compressed sensing (CS-DANTE-SPACE) and validate it in AAA patients undergoing surveillance. METHODS Thirty-eight AAA patients (all males, 73 ± 6 years) under clinical surveillance were recruited for this study. All patients were scanned with DANTE-SPACE (scan time 7:10 min) and CS-DANTE-SPACE (scan time 4:12 min, a reduction of 41.4%). Nine 9 patients were scanned more than 2 times. In total, 50 pairs of images were available for comparison. Two radiologists independently evaluated the image quality on a 1-4 scale, and measured the maximal diameter of AAA, the intra-luminal thrombus (ILT) and lumen area, ILT-to-muscle signal intensity ratio, and the ILT-to-lumen contrast ratio. The sharpness of the aneurysm inner/outer boundaries was quantified. RESULTS CS-DANTE-SPACE achieved comparable image quality compared with DANTE-SPACE (3.15 ± 0.67 vs. 3.03 ± 0.64, p = 0.06). There was excellent agreement between results from the two sequences for diameter/area and ILT ratio measurements (ICCs> 0.85), and for quantifying growth rate (3.3 ± 3.1 vs. 3.3 ± 3.4 mm/year, ICC = 0.95.) CS-DANTE-SPACE showed a higher ILT-to-lumen contrast ratio (p = 0.01) and higher sharpness than DANTE-SPACE (p = 0.002). Both sequences had excellent inter-reader reproducibility for quantitative measurements (ICC > 0.88). CONCLUSION CS-DANTE-SPACE can reduce scan time while maintaining image quality for AAA imaging. It is a promising tool for the surveillance of patients with AAA disease in the clinical setting.
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Affiliation(s)
- Chengcheng Zhu
- Department of Radiology and Biomedical Imaging, UCSF, 4150 Clement Street, San Francisco, CA 94121 USA
| | - Lizhen Cao
- Department of Radiology and Biomedical Imaging, UCSF, 4150 Clement Street, San Francisco, CA 94121 USA
- Department of Radiology, Xuanwu Hospital, Beijing, China
| | - Zhaoying Wen
- Department of Radiology and Biomedical Imaging, UCSF, 4150 Clement Street, San Francisco, CA 94121 USA
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, 100029 China
| | | | | | | | - Michael Hope
- Department of Radiology and Biomedical Imaging, UCSF, 4150 Clement Street, San Francisco, CA 94121 USA
| | - David Saloner
- Department of Radiology and Biomedical Imaging, UCSF, 4150 Clement Street, San Francisco, CA 94121 USA
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New predictors of aneurysm sac behavior after endovascular aortic aneurysm repair. Eur Radiol 2019; 29:6591-6599. [PMID: 31250171 DOI: 10.1007/s00330-019-06306-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 05/07/2019] [Accepted: 06/05/2019] [Indexed: 12/18/2022]
Abstract
OBJECTIVES This study aimed to identify new predictors of sac behavior after endovascular aortic aneurysm repair (EVAR) and to investigate whether sac behavior is associated with long-term clinical outcomes. METHODS A total of 168 patients undergoing successful EVAR for abdominal aortic aneurysms with CTA follow-up of at least 1 year were included. Predictors of aneurysm sac behavior and its impact on long-term clinical outcomes were retrospectively analyzed. RESULTS According to sac behavior, eligible patients were stratified into the sac regression group (n = 79, 47.0%) and the sac non-regression group (n = 89, 53.0%). Patients in the regression group were younger (p = 0.036) and more likely to take sarpogrelate hydrochloride postoperatively (p = 0.011) than those in the non-regression group. The incidence of postimplantation syndrome (PIS) was significantly higher in the regression group (p = 0.005). On multivariate analysis, sac regression was more likely to occur in those with PIS (hazard ratio [HR], 1.68; 95% confidence interval [CI], 1.07-2.64; p = 0.023) and less likely to occur in those with transient type II endoleaks (HR, 0.43; 95% CI, 0.20-0.95; p = 0.037) and higher thrombus density within the sac on follow-up CTA (HR, 0.97; 95% CI, 0.95-0.99; p = 0.013). Non-regression of the sac was associated with significantly higher rates of re-intervention during the follow-up period (p = 0.001). CONCLUSIONS In addition to type II endoleaks, PIS and thrombus density are new predictors of aneurysm sac behavior, and sac regression is significantly associated with lower rates of re-intervention. KEY POINTS • After endovascular aortic aneurysm repair (EVAR), patients with sac regression were younger and more likely to take sarpogrelate hydrochloride postoperatively than those with sac non-regression. • The incidence of postimplantation syndrome (PIS) was significantly higher in patients with sac regression. • In our analysis, PIS and thrombus density within the sac were newly identified predictors of aneurysm sac behavior after EVAR.
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LEACH JOSEPHR, ZHU CHENGCHENG, SALONER DAVID, HOPE MICHAELD. COMPARISON OF TWO METHODS FOR ESTIMATING THE UNLOADED STATE FOR ABDOMINAL AORTIC ANEURYSM STRESS CALCULATIONS. J MECH MED BIOL 2019. [DOI: 10.1142/s0219519419500155] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Biomechanical analyses can be used to better understand the rupture risk of abdominal aortic aneurysms (AAAs) on a patient-specific basis using vascular geometries obtained from medical imaging. Methodologies of varying complexity are used to estimate the unloaded state of the imaged vessel to provide a reference configuration for finite element simulations. In this work, we compare the implementation and results of two of these methods, one based on geometric scaling and the other using an iterative determination of unloaded vessel geometry. We find that the two methods result in significantly different stress predictions, and that the iterative method offers superior geometric accuracy. Our findings lend context to the variation in finite element results presented in the AAA stress analysis literature.
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Affiliation(s)
- JOSEPH R. LEACH
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue, M-391 San Francisco, CA 94143-0628, USA
| | - CHENGCHENG ZHU
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue, M-391 San Francisco, CA 94143-0628, USA
| | - DAVID SALONER
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue, M-391 San Francisco, CA 94143-0628, USA
- Department of Radiology, Veterans Affairs Medical Center, 4150 Clement Street, San Francisco, CA 94121, USA
| | - MICHAEL D. HOPE
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Avenue, M-391 San Francisco, CA 94143-0628, USA
- Department of Radiology, Veterans Affairs Medical Center, 4150 Clement Street, San Francisco, CA 94121, USA
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Zhu C, Leach JR, Tian B, Cao L, Wen Z, Wang Y, Liu X, Liu Q, Lu J, Saloner D, Hope MD. Evaluation of the distribution and progression of intraluminal thrombus in abdominal aortic aneurysms using high-resolution MRI. J Magn Reson Imaging 2019; 50:994-1001. [PMID: 30694008 DOI: 10.1002/jmri.26676] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 01/16/2019] [Accepted: 01/17/2019] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Intraluminal thrombus (ILT) signal intensity on MRI has been studied as a potential marker of abdominal aortic aneurysm (AAA) progression. PURPOSE 1) To characterize the relationship between ILT signal intensity and AAA diameter; 2) to evaluate ILT change over time; and 3) to assess the relationship between ILT features and AAA growth. STUDY TYPE Prospective. SUBJECTS Eighty AAA patients were imaged, and a subset (n = 41) were followed with repeated MRI for 16 ± 9 months. FIELD STRENGTH/SEQUENCE 3D black-blood fast-spin-echo sequence at 3 T. ASSESSMENT ILT was designated as "bright" if the signal was greater than 1.2 times that of adjacent psoas muscle. AAAs were divided into three groups based on ILT: Type 1: bright ILT; Type 2: isointense ILT; Type 3: no ILT. During follow-up, an active ILT change was defined as new ILT formation or an increase in ILT signal intensity to bright; stable ILT was defined as no change in ILT type or ILT became isointense from bright previously. STATISTICAL TESTS Shapiro-Wilk test; Mann-Whitney U-test; Fisher's exact test; Kruskal-Wallis test; Spearman's r; intraclass correlation coefficient (ICC), Cohen's kappa. RESULTS AAAs with Type 1 ILT were larger than those with Types 2 and 3 ILT (5.1 ± 1.1 cm, 4.4 ± 0.9 cm, 4.2 ± 0.8 cm, P = 0.008). The growth rate of AAAs with Type 1 ILT was significantly greater than that of AAAs with Types 2 and 3 ILT (2.6 ± 2.5, 0.6 ± 1.3, 1.5 ± 0.6 mm/year, P = 0.01). During follow-up, AAAs with active ILT changes had a 3-fold increased growth rate compared with AAAs with stable ILT (3.6 ± 3.0 mm/year vs. 1.2 ± 1.5 mm/year, P = 0.008). DATA CONCLUSION AAAs with bright ILT are larger in diameter and grow faster. Active ILT change is associated with faster AAA growth. Black-blood MRI can characterize ILT features and monitor their change over time, which may provide new insights into AAA risk assessment. LEVEL OF EVIDENCE 2 Technical Efficacy Stage: 5 J. Magn. Reson. Imaging 2019;50:994-1001.
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Affiliation(s)
- Chengcheng Zhu
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA
| | - Joseph R Leach
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA
| | - Bing Tian
- Department of Radiology, Changhai Hospital, Shanghai, China
| | - Lizhen Cao
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA
| | - Zhaoying Wen
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA.,Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Disease, Beijing, China
| | - Yan Wang
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA
| | - Xinke Liu
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA.,Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qi Liu
- Department of Radiology, Changhai Hospital, Shanghai, China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital, Shanghai, China
| | - David Saloner
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA
| | - Michael D Hope
- Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA
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Zhu C, Saloner D, Hope MD. Letter by Zhu et al Regarding Article, "Aortic Wall Inflammation Predicts Abdominal Aortic Aneurysm Expansion, Rupture, and Need for Surgical Repair". Circulation 2018; 137:1293-1294. [PMID: 29555713 DOI: 10.1161/circulationaha.117.030788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Chengcheng Zhu
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - David Saloner
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Michael D Hope
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
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Domagała Z, Stępak H, Drapikowski P, Kociemba A, Pyda M, Karmelita-Katulska K, Dzieciuchowicz Ł, Oszkinis G. Geometric verification of the validity of Finite Element Method analysis of Abdominal Aortic Aneurysms based on Magnetic Resonance Imaging. Biocybern Biomed Eng 2018. [DOI: 10.1016/j.bbe.2018.04.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Behr-Andersen C, Gammelgaard L, Fründ ET, Dahl M, Lindholt JS. Magnetic resonance imaging of the intraluminal thrombus in abdominal aortic aneurysms: a quantitative and qualitative evaluation and correlation with growth rate. THE JOURNAL OF CARDIOVASCULAR SURGERY 2017; 60:221-229. [PMID: 28847145 DOI: 10.23736/s0021-9509.17.09921-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND The role of the intraluminal thrombus (ILT) in abdominal aortic aneurysm (AAA) growth remains incompletely understood. MRI is superior to other methods in depicting the morphology of the ILT. This study brings preliminary, but novel information on the presence and morphological characteristics of the ILT and AAA growth rates in a screening cohort. METHODS Cohort study with 46 patients from the Viborg Vascular Trial. All underwent one non-contrast-enhanced magnetic resonance imaging (MRI) at the end of follow-up. ILT presence was noted and, if present, it was allocated to one of four morphological categories based on visual appearance and signal intensity on T2 weighted images. RESULTS The mean growth rate was 1.95 mm/year ±0.87 (SD). The observation time was 5.59±0.63 (SD) years. ILT was present in AAA size groups as follows: 30-34.9 mm 20.00%, 35-39.9 mm 88.89%, 40-44.9 mm 81.25%, 45-49.9 mm 100% and 50-54.9 mm 100%. Out of 46, 8 had no ILT at the time of MRI. The presence of any sort of ILT yielded a significantly increased unadjusted and an adjusted growth rate of 1.09 mm/year (95% CI: 0.48; 1.70) and 1.24 mm/year (95% CI: 0.64; 1.83), respectively. All four thrombus types were retrospectively associated with an increased recorded growth rate compared with "no thrombus". Presence of a thin circumferential thrombus was retrospectively associated with the highest increase in growth rate, viz. 2.09 mm/year (95% CI: 1.23; 2.95). CONCLUSIONS We observed faster growth rate in those AAA that had developed an ILT. Even faster growth was observed amongst those AAA containing a thin ILT located along the inner circumference.
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Affiliation(s)
- Carsten Behr-Andersen
- Cardiovascular Research Center, Department of Vascular Surgery, Viborg Regional Hospital, Viborg, Denmark -
| | - Lise Gammelgaard
- Department of Radiology, Viborg Regional Hospital, Viborg, Denmark
| | - Ernst T Fründ
- Elitary Research Center of Individualized Treatment of Arterial Diseases (CIMA), Cardiovascular Center of Excellence (CAVAC), Department of Heart, Lung and Vascular Surgery, University Hospital of Odense, Denmark
| | - Marie Dahl
- Cardiovascular Research Center, Department of Vascular Surgery, Viborg Regional Hospital, Viborg, Denmark
| | - Jes S Lindholt
- Cardiovascular Research Center, Department of Vascular Surgery, Viborg Regional Hospital, Viborg, Denmark.,Elitary Research Center of Individualized Treatment of Arterial Diseases (CIMA), Cardiovascular Center of Excellence (CAVAC), Department of Heart, Lung and Vascular Surgery, University Hospital of Odense, Denmark
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