Academic Journal
Computational Frontiers in Arteriovenous Fistula Maturation: A Review of Fluid Dynamics and Machine Learning Models.
| Τίτλος: | Computational Frontiers in Arteriovenous Fistula Maturation: A Review of Fluid Dynamics and Machine Learning Models. |
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| Συγγραφείς: | Nowacki A; Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas., Ramirez-Mireles L; Department of Physics, Rice University, Houston, Texas., Barcena AJR; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas., Marks AE; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.; The University of Texas MD Anderson Cancer Center, Graduate School of Biomedical Sciences, UTHealth Houston, Houston, Texas., Huang SY; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas., Castillo E; Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas., Melancon MP; Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.; The University of Texas MD Anderson Cancer Center, Graduate School of Biomedical Sciences, UTHealth Houston, Houston, Texas. |
| Πηγή: | Journal of the American Society of Nephrology : JASN [J Am Soc Nephrol] 2026 Jul 01; Vol. 37 (7), pp. 1580-1598. Date of Electronic Publication: 2026 Apr 17. |
| Τύπος έκδοσης: | Journal Article; Review |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Wolters Kluwer Health, on behalf of the American Society of Nephrology Country of Publication: United States NLM ID: 9013836 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1533-3450 (Electronic) Linking ISSN: 10466673 NLM ISO Abbreviation: J Am Soc Nephrol Subsets: MEDLINE |
| Imprint Name(s): | Publication: 2023- : Hagerstown, MD : Wolters Kluwer Health, on behalf of the American Society of Nephrology Original Publication: Baltimore, MD : Williams & Wilkins, c1990- |
| Ιατρικοί όροι (MeSH): | Machine Learning* , Arteriovenous Shunt, Surgical* , Hydrodynamics* , Renal Dialysis* , Computer Simulation*, Humans ; Hemodynamics ; Predictive Learning Models |
| Περίληψη: | Arteriovenous (AV) fistulas, the preferred vascular access for hemodialysis, fail to mature in up to 60% of patients with kidney failure. This high failure rate is often attributed to adverse hemodynamic conditions, yet the exact mechanisms remain poorly understood. This review explores the application of computational fluid dynamics and machine learning to elucidate these mechanisms and predict clinical outcomes. Computational fluid dynamic models have been instrumental in characterizing the complex interplay between AV fistula geometry, such as anastomotic angle and curvature, and hemodynamic parameters, such as wall shear stress and oscillatory shear index. These studies consistently link disturbed flow patterns, including low wall shear stress and high oscillatory shear index, to regions prone to neointimal hyperplasia and stenosis. Concurrently, machine learning models have demonstrated significant promise in predicting AV fistula maturation, stenosis, and failure by leveraging diverse data sources, including clinical characteristics, ultrasound imaging, and acoustic bruit analysis. While powerful, the clinical utility of these computational models is often limited by small, single-center datasets, a lack of external validation, and simplifying assumptions that may not capture true physiological complexity. Future progress depends on integrating these complementary approaches, using larger and more diverse datasets, and validating models prospectively to create generalizable tools that can guide surgical planning and improve AV fistula maturation rates. (Copyright © 2026 by the American Society of Nephrology.) |
| References: | Med Eng Phys. 2007 Nov;29(9):999-1007. (PMID: 17137826) Med Eng Phys. 2010 Mar;32(2):111-8. (PMID: 19962337) Sci Rep. 2021 Mar 11;11(1):5699. (PMID: 33707591) Sensors (Basel). 2019 Aug 04;19(15):. (PMID: 31382707) Biomech Model Mechanobiol. 2024 Apr;23(2):453-468. (PMID: 38063956) ACS Appl Mater Interfaces. 2024 Jul 3;16(26):33159-33168. (PMID: 38912610) Cardiovasc Eng Technol. 2020 Aug;11(4):416-430. (PMID: 32613600) Int J Numer Method Biomed Eng. 2019 Dec;35(12):e3259. (PMID: 31483945) Nephrology (Carlton). 2019 Feb;24(2):245-251. (PMID: 29314372) Biomolecules. 2022 Sep 24;12(10):. (PMID: 36291576) Int J Artif Organs. 2018 Nov;41(11):714-722. (PMID: 29998758) Comput Methods Programs Biomed. 2024 Jun;249:108146. (PMID: 38593514) Biosensors (Basel). 2021 Aug 26;11(9):. (PMID: 34562887) NPJ Digit Med. 2022 Oct 25;5(1):160. (PMID: 36280681) Korean J Radiol. 2022 Oct;23(10):949-958. (PMID: 36174999) J Vasc Surg. 2013 Jul;58(1):187-93.e1. (PMID: 23433819) Kidney Int Suppl (2011). 2017 Oct;7(2):122-129. (PMID: 30675426) J Vasc Surg. 2025 Mar;81(3):751-758.e8. (PMID: 39631475) Artif Organs. 2016 Feb;40(2):185-9. (PMID: 26011083) Int J Artif Organs. 2023 Oct-Nov;46(10-11):547-554. (PMID: 37753863) Sci Rep. 2020 Oct 2;10(1):16387. (PMID: 33009417) Adv Healthc Mater. 2023 Oct;12(26):e2300960. (PMID: 37395729) J Vasc Access. 2012 Jan-Mar;13(1):36-44. (PMID: 21725950) J Biomech. 2013 Jan 4;46(1):165-9. (PMID: 23122945) Clin Kidney J. 2022 Dec 06;16(3):560-570. (PMID: 36865006) Nephrology (Carlton). 2015 May;20(5):335-42. (PMID: 25581663) Med Eng Phys. 2022 Jul;105:103814. (PMID: 35781379) J Vasc Access. 2016 Nov 2;17(6):512-520. (PMID: 27791257) J Vasc Access. 2025 Nov;26(6):1878-1887. (PMID: 39725894) Int J Environ Res Public Health. 2021 Nov 24;18(23):. (PMID: 34886080) Sci Rep. 2023 Dec 20;13(1):22786. (PMID: 38123618) Comput Methods Appl Mech Eng. 2017 Jul 1;321:46-69. (PMID: 28649146) Technol Health Care. 2015;24 Suppl 1:S245-52. (PMID: 26684568) PLoS One. 2022 Oct 3;17(10):e0272342. (PMID: 36191008) J Vasc Access. 2024 Jul;25(4):1170-1179. (PMID: 36765450) Ann Biomed Eng. 2015 Jun;43(6):1275-86. (PMID: 25753016) Kidney Int. 2009 Mar;75(5):550-7. (PMID: 19052534) Sensors (Basel). 2020 Aug 27;20(17):. (PMID: 32867220) J Vasc Access. 2024 Jan;25(1):60-70. (PMID: 35451351) Clin J Am Soc Nephrol. 2016 Aug 8;11(8):1504-1512. (PMID: 27401527) J Vasc Access. 2025 Jan;26(1):202-210. (PMID: 38143431) Vasc Endovascular Surg. 2020 Jan;54(1):5-11. (PMID: 31506033) Am J Kidney Dis. 2020 Apr;75(4 Suppl 2):S1-S164. (PMID: 32778223) Physiol Rep. 2025 May;13(9):e70331. (PMID: 40300852) Int J Mol Sci. 2023 Jul 21;24(14):. (PMID: 37511512) J Vasc Access. 2014 Sep-Oct;15(5):409-14. (PMID: 24811588) Eur J Med Res. 2025 Mar 29;30(1):217. (PMID: 40156016) J Vasc Access. 2014;15 Suppl 7:S64-9. (PMID: 24817458) J Biomech. 2010 Jul 20;43(10):2002-9. (PMID: 20382386) Theor Biol Med Model. 2017 Mar 20;14(1):5. (PMID: 28320412) Int J Numer Method Biomed Eng. 2024 Oct;40(10):e3856. (PMID: 39075745) Ann Biomed Eng. 2016 Aug;44(8):2388-2401. (PMID: 26698581) Artif Organs. 2017 Nov;41(11):1035-1042. (PMID: 28591486) J Vasc Access. 2021 May;22(3):417-423. (PMID: 32729767) Int J Med Sci. 2024 Aug 19;21(12):2252-2260. (PMID: 39310268) Biomech Model Mechanobiol. 2022 Aug;21(4):1217-1232. (PMID: 35614372) Nephrol Dial Transplant. 2012 Jan;27(1):358-68. (PMID: 21771751) Rev Cardiovasc Med. 2024 Jan 22;25(1):35. (PMID: 39077669) Kidney Int. 2016 Feb;89(2):303-316. (PMID: 26806833) Ann Biomed Eng. 2025 Jan;53(1):230-240. (PMID: 39485642) Hemodial Int. 2013 Oct;17(4):602-11. (PMID: 23448433) Am J Kidney Dis. 2018 Jul;72(1):10-18. (PMID: 29602630) Nephrol Dial Transplant. 2013 Apr;28(4):997-1005. (PMID: 22785110) Front Cardiovasc Med. 2022 Nov 03;9:1001267. (PMID: 36407418) Biomater Adv. 2025 Jan;166:214052. (PMID: 39341164) Int Urol Nephrol. 2022 Jan;54(1):185-192. (PMID: 34095992) J Vasc Access. 2013 Jul-Sep;14(3):281-90. (PMID: 23172170) PLoS One. 2023 Jul 25;18(7):e0286952. (PMID: 37490491) Front Bioeng Biotechnol. 2021 Dec 02;9:779043. (PMID: 34926425) J Biomech. 2015 Jul 16;48(10):2195-200. (PMID: 25920898) Comput Methods Biomech Biomed Engin. 2017 Jul;20(9):949-957. (PMID: 28513192) |
| Grant Information: | R01 HL159960 United States HL NHLBI NIH HHS; T32 EB007507 United States EB NIBIB NIH HHS; TL1 DK147564 United States DK NIDDK NIH HHS; 1TL1DK147564-01 NIH NIDDK - Houston Area Incubator for Kidney, Urologic and Hematologic Research Training; 5R01HL159960-04 National Institutes of Health - National Heart Lung and Blood Institute; 15BGIA25690005 United States AHA American Heart Association-American Stroke Association |
| Contributed Indexing: | Keywords: arteriovenous fistula; artificial intelligence; dialysis; imaging |
| Entry Date(s): | Date Created: 20260417 Date Completed: 20260624 Latest Revision: 20260923 |
| Update Code: | 20260923 |
| PubMed Central ID: | PMC13337174 |
| DOI: | 10.1681/ASN.0000001123 |
| PMID: | 41996194 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1533-3450 |
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| DOI: | 10.1681/ASN.0000001123 |