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Ng O, Thomas S, Gunasekera S, Varcoe R, Barber T. Identifying problematic arteriovenous fistula with CFD-derived resistance: An exploratory study. J Biomech 2024; 171:112203. [PMID: 38908106 DOI: 10.1016/j.jbiomech.2024.112203] [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: 08/06/2023] [Revised: 05/23/2024] [Accepted: 06/19/2024] [Indexed: 06/24/2024]
Abstract
Arteriovenous fistula (AVF) is the optimal form of vascular access for most haemodialysis dependant patients; however, it is prone to the formation of stenoses that compromise utility and longevity. Whilst there are many factors influencing the development of these stenoses, pathological flow-related phenomena may also incite the formation of intimal hyperplasia, and hence a stenosis. Repeated CFD-derived resistance was calculated for six patient who had a radiocephalic AVF, treated with an interwoven nitinol stent around the juxta-anastomotic region to address access dysfunction. A three-dimensional freehand ultrasound system was used to obtain patient-specific flow profiles and geometries, before performing CFD simulations to replicate the flow phenomena in the AVF, which enabled the calculation of CFD-derived resistance. We presented six patient cases who were examined before and after treatment and our results showed a 77% decrease in resistance, recorded after a surgical intervention to address access dysfunction. Problematic AVFs were found to have high resistance, particularly in the venous segment. AVFs with no reported clinical problems, and clinical patency, had low resistance in the venous segment. There did not appear to be any relationship with clinical problems/patency and resistance values in the arterial segment. Identifying changes in resistance along the circuit allowed stenoses to be identified, independent to that determined using standard sonographic criteria. Our exploratory study reveals thatCFD-derived resistance is a promising metric that allows for non-invasive identification of diseased AVFs. The pipeline analysis enabled regular surveillance of AVF to be studied to aid with surgical planning and outcome, further exhibiting its clinical utility.
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Affiliation(s)
- Olivia Ng
- School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney NSW 2052, Australia.
| | - Shannon Thomas
- School of Medicine, University of New South Wales, Sydney NSW 2052, Australia; Prince of Wales Hospital, Sydney NSW 2031, Australia
| | - Sanjiv Gunasekera
- School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney NSW 2052, Australia
| | - Ramon Varcoe
- School of Medicine, University of New South Wales, Sydney NSW 2052, Australia; Prince of Wales Hospital, Sydney NSW 2031, Australia
| | - Tracie Barber
- School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney NSW 2052, Australia
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Gunasekera S, de Silva C, Ng O, Thomas S, Varcoe R, Barber T. Stenosis to stented: decrease in flow disturbances following stent implantation of a diseased arteriovenous fistula. Biomech Model Mechanobiol 2024; 23:453-468. [PMID: 38063956 DOI: 10.1007/s10237-023-01784-5] [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: 03/11/2023] [Accepted: 10/14/2023] [Indexed: 03/26/2024]
Abstract
The arteriovenous fistula (AVF) is commonly faced with stenosis at the juxta-anastomotic (JXA) region of the vein. Implantation of a flexible nitinol stent across the stenosed JXA has led to the retention of functioning AVFs leading to the resulting AVF geometry being distinctly altered, thereby affecting the haemodynamic environment within it. In this study, large eddy simulations of the flow field within a patient-specific AVF geometry before and after stent implantation were conducted to detail the change in flow features. Although the diseased AVF had much lower flow rates, adverse flow features, such as recirculation zones and swirling flow at the anastomosis, and jet flow at the stenosis site were present. Larger velocity fluctuations (leading to higher turbulent kinetic energy) stemming from these flow features were apparent in the diseased AVF compared to the stented AVF. The unsteadiness at the stenosis created large regions of wall shear stress (WSS) fluctuations downstream of the stenosis site that were not as apparent in the stented AVF geometry. The larger pressure drop across the diseased vein, compared to the stented vein, was primarily caused by the constriction at the stenosis, potentially causing the lower flow rate. Furthermore, the WSS fluctuations in the diseased AVF could lead to further disease progression downstream of the stenosis. The change in bulk flow unsteadiness, pressure drop, and WSS behaviour confirms that the haemodynamic environment of the diseased AVF has substantially improved following the flexible stent implantation.
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Affiliation(s)
- Sanjiv Gunasekera
- School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia.
| | - Charitha de Silva
- School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Olivia Ng
- School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
| | - Shannon Thomas
- Department of Vascular Surgery, Prince of Wales Hospital, Randwick, NSW, 2031, Australia
| | - Ramon Varcoe
- Department of Vascular Surgery, Prince of Wales Hospital, Randwick, NSW, 2031, Australia
| | - Tracie Barber
- School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, NSW, 2052, Australia
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Dahmani J, Petit Y, Laporte C. Quantitative validation of two model-based methods for the correction of probe pressure deformation in ultrasound. Int J Comput Assist Radiol Surg 2024; 19:309-320. [PMID: 37596378 DOI: 10.1007/s11548-023-03006-w] [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: 01/11/2023] [Accepted: 07/17/2023] [Indexed: 08/20/2023]
Abstract
PURPOSE The acquisition of good quality ultrasound (US) images requires good acoustic coupling between the ultrasound probe and the patient's skin. In practice, this good coupling is achieved by the operator applying a force to the skin through the probe. This force induces a deformation of the tissues underlying the probe. The distorted images deteriorate the quality of the reconstructed 3D US image. METHODS In this work, we propose two methods to correct these deformations. These methods are based on the construction of a biomechanical model to predict the mechanical behavior of the imaged soft tissues. The originality of the methods is that they do not use external information (force or position value from sensors, or elasticity value from the literature). The model is parameterized thanks to the information contained in the image. This is allowed thanks to the optimization of two key parameters for the model which are the indentation d and the elasticity ratio α. RESULTS The validation is performed on real images acquired on a gelatin-based phantom using an ultrasound probe inducing an increasing vertical indentation using a step motor. The results showed a good correction of the two methods for indentations less than 4 mm. For larger indentations, one of the two methods (guided by the similarity score) provides a better quality of correction, presenting a Euclidean distance between the contours of the reference image and the corrected image of 0.71 mm. CONCLUSION The proposed methods ensured the correction of the deformed images induced by a linear probe pressure without using any information coming from sensors (force or position), or generic information about the mechanical parameters. The corrected images can be used to obtain a corrected 3D US image.
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Affiliation(s)
- Jawad Dahmani
- École de Technologie Supérieure, 1100 Notre-Dame Street West, Montreal, QC, Canada.
| | - Yvan Petit
- École de Technologie Supérieure, 1100 Notre-Dame Street West, Montreal, QC, Canada
| | - Catherine Laporte
- École de Technologie Supérieure, 1100 Notre-Dame Street West, Montreal, QC, Canada
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Lee J, Chadalavada SC, Ghodadra A, Ali A, Arribas EM, Chepelev L, Ionita CN, Ravi P, Ryan JR, Santiago L, Wake N, Sheikh AM, Rybicki FJ, Ballard DH. Clinical situations for which 3D Printing is considered an appropriate representation or extension of data contained in a medical imaging examination: vascular conditions. 3D Print Med 2023; 9:34. [PMID: 38032479 PMCID: PMC10688120 DOI: 10.1186/s41205-023-00196-6] [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: 10/08/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Medical three-dimensional (3D) printing has demonstrated utility and value in anatomic models for vascular conditions. A writing group composed of the Radiological Society of North America (RSNA) Special Interest Group on 3D Printing (3DPSIG) provides appropriateness recommendations for vascular 3D printing indications. METHODS A structured literature search was conducted to identify all relevant articles using 3D printing technology associated with vascular indications. Each study was vetted by the authors and strength of evidence was assessed according to published appropriateness ratings. RESULTS Evidence-based recommendations for when 3D printing is appropriate are provided for the following areas: aneurysm, dissection, extremity vascular disease, other arterial diseases, acute venous thromboembolic disease, venous disorders, lymphedema, congenital vascular malformations, vascular trauma, vascular tumors, visceral vasculature for surgical planning, dialysis access, vascular research/development and modeling, and other vasculopathy. Recommendations are provided in accordance with strength of evidence of publications corresponding to each vascular condition combined with expert opinion from members of the 3DPSIG. CONCLUSION This consensus appropriateness ratings document, created by the members of the 3DPSIG, provides an updated reference for clinical standards of 3D printing for the care of patients with vascular conditions.
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Affiliation(s)
- Joonhyuk Lee
- Department of Radiology, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | | | - Anish Ghodadra
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Arafat Ali
- Department of Radiology, Henry Ford Health, Detroit, MI, USA
| | - Elsa M Arribas
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Leonid Chepelev
- Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Ciprian N Ionita
- Department of Biomedical Engineering, University at Buffalo, Buffalo, NY, USA
| | - Prashanth Ravi
- Department of Radiology, University of Cincinnati Medical Center, Cincinnati, OH, USA
| | - Justin R Ryan
- Webster Foundation 3D Innovations Lab, Rady Children's Hospital, San Diego, CA, USA
- Department of Neurological Surgery, University of California San Diego Health, San Diego, CA, USA
| | - Lumarie Santiago
- Department of Breast Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nicole Wake
- Department of Research and Scientific Affairs, GE HealthCare, New York, NY, USA
- Center for Advanced Imaging Innovation and Research, Department of Radiology, NYU Langone Health, New York, NY, USA
| | - Adnan M Sheikh
- Department of Radiology, University of British Columbia, Vancouver, Canada
| | - Frank J Rybicki
- Department of Radiology, University of Arizona - Phoenix, Phoenix, AZ, USA
| | - David H Ballard
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, MO, USA.
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Kinoshita T, Takahashi T, Murayama R, Nakagami G, Sanada H, Noguchi H. Creation of the Forearm 3D-Model with Veins from Transversal Ultrasonography Image Sequence. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38083707 DOI: 10.1109/embc40787.2023.10340868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
This study developed an automatic detection algorithm of vessel and skin regions in a transversal ultrasonography image on the arm. We also developed an algorithm to generate a 3D model from detected areas to assist vein puncture. In the algorithm, the vessel's candidate regions in the ultrasonography image were detected using U-Net or Mask R-CNN, which are a kind of deep learning method for segmentation. Then vessel regions were selected among the candidates based on continuous properties in an image sequence. The skin regions were also detected. The 3D polygon data was created from paired pixels in sequential images. The experiments demonstrated that Mask R-CNN could correctly estimate the branch of vessel which were difficult to identify accurate region separately using U-Net, and achieved an overall IoU of 80%. The confirmation experiment of 3D model demonstrated that generated model have enough feasibility for assessment of appropriate veins and locations for puncture.Clinical relevance-The developed 3D model generation from ultrasonography images will be useful for support to identify the appropriate veins for puncture.
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A longitudinal study of the arterio-venous fistula maturation of a single patient over 15 weeks. Biomech Model Mechanobiol 2022; 21:1217-1232. [PMID: 35614372 PMCID: PMC9283179 DOI: 10.1007/s10237-022-01586-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 04/12/2022] [Indexed: 11/06/2022]
Abstract
Arterio-venous fistula creation is the preferred vascular access for haemodialysis, but has a large failure rate in the maturation period. Previous research, considering the remodelling mechanisms for failure-to-mature patients, has been limited by obtaining the patient-specific boundary conditions at only a few points in the patient history. Here, a non-invasive imaging system was used to reconstruct the three-dimensional vasculature, and computational fluid dynamics was used to analyse the haemodynamics for one patient over 15 weeks. The analysis suggested evidence of a control mechanism, which adjusts the lumen diameter to keep the wall shear stress near constant in the proximal regions of the vein and artery. Additionally, the vein and artery were shown to remodel at different growth rates, and the blood flow rate also saw the largest increase within the first week. Wall shear stress at time of creation may be a useful indicator for successful AVF maturation.
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Thomas SD, Peden S, Crowe P, Varcoe RL. Interwoven Nitinol Stents to Treat Radiocephalic Anastomotic Arteriovenous Fistula Stenosis. J Endovasc Ther 2019; 26:394-401. [DOI: 10.1177/1526602819842851] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Purpose: To determine the clinical outcomes in hemodialysis patients after implantation of a Supera stent to treat juxta-anastomotic stenosis in radiocephalic arteriovenous fistulas (AVF). Materials and Methods: A single-center retrospective study was conducted of 42 consecutive patients (mean age 66.7 years, range 40–84; 26 men) who had a failing AVF due to juxta-anastomotic stenosis treated with the interwoven Supera stent between February 2014 and February 2018. A third of the patients had previous juxta-anastomotic intervention (either balloon angioplasty or open surgical revision). Results: The stent was inserted successfully in all patients. Overall mean follow-up was 12.2±8.2 months (range 3.8–38.3). Juxta-anastomotic segment primary patency estimates at 6 and 12 months were 92.5% and 59.8%, respectively, with assisted primary patency rates of 97.5% and 92.9%. Reintervention (elective drug-coated balloon angioplasty) occurred at a rate of 0.31 procedures/year. Two AVFs thrombosed during the 1-year follow-up and were revascularized using balloon angioplasty. Ultrasound measurements of brachial artery flow rates increased significantly from 543.5±96.72 mL/min (range 430–644) before intervention to 919.2±355.9 mL/min (range 200–1600) after intervention (p=0.047). Arterial pressures on hemodialysis improved from −142.3±24.9 mm Hg (range −100 to −180) to −123.4±21.9 mm Hg (range −100 to −184; p=0.051). No AVFs were lost or abandoned during the follow-up period. Conclusion: The interwoven Supera stent is a promising treatment for failing AVFs with juxta-anastomotic stenosis. Encouraging 1-year primary and assisted primary patency was demonstrated, with a low reintervention rate. This treatment facilitates long-term maintenance of AVF vascular accesses.
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Affiliation(s)
- Shannon D. Thomas
- Department of Vascular Surgery, Prince of Wales Hospital, Sydney, Australia
- Faculty of Medicine, University of New South Wales, Sydney, Australia
- The Vascular Institute, Prince of Wales Hospital, Sydney, Australia
| | - Samantha Peden
- Department of Vascular Surgery, Prince of Wales Hospital, Sydney, Australia
| | - Phillip Crowe
- Department of Surgery, Prince of Wales Hospital, Sydney, Australia
| | - Ramon L. Varcoe
- Department of Vascular Surgery, Prince of Wales Hospital, Sydney, Australia
- Faculty of Medicine, University of New South Wales, Sydney, Australia
- The Vascular Institute, Prince of Wales Hospital, Sydney, Australia
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