Evidence map›Paper›PMID 42577246›Full record

ArticleJTCVS techniques2026

Patient-specific hemodynamic assessment using experimental and computational approaches in anomalous aortic origin of the coronary artery: Case study.

Thangam Natarajan, Yasaman Farsiani, Jayanthi Parthasarathy, Silvana Molossi, Carlos M Mery, Michael Jiang, Joanna Ghobrial, Athar M Qureshi, Tara Karamlou, Lakshmiprasad Dasi and 1 more

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Article in JTCVS techniques, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

11 authors.

Thangam NatarajanWallace H Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Ga.
Yasaman FarsianiDepartment of Radiology, Nationwide Children's Hospital, Columbus, Ohio.
Jayanthi ParthasarathyDepartment of Radiology, Nationwide Children's Hospital, Columbus, Ohio.
Silvana MolossiDivision of Cardiology, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Tex.
Carlos M MeryDivision of Pediatric Cardiac Surgery, Pediatric Heart Institute, Vanderbilt University Medical Center, Nashville, Tenn.
Michael JiangDivision of Pediatric and Congenital Cardiac Surgery, Department of Thoracic and Cardiovascular Surgery, Cleveland Clinic, Cleveland, Ohio.
Joanna GhobrialDepartment of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio.
Athar M QureshiDivision of Cardiology, Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Tex.
Tara KaramlouDepartment of Pediatric Cardiac Surgery, Akron Children's and Cincinnati Children's Hospital, Akron, Ohio.
Lakshmiprasad DasiWallace H Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Ga.
Rajesh KrishnamurthyDepartment of Radiology, Nationwide Children's Hospital, Columbus, Ohio.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop and demonstrate the feasibility of a patient-specific framework combining experimental and computational modeling for noninvasive hemodynamic evaluation of anomalous aortic origin of coronary artery (AAOCA) anatomy derived from coronary computed tomography angiography. Methods: A patient with a left AAOCA who experienced aborted sudden cardiac death underwent an unroofing procedure and later required coronary reimplantation after recurrent aborted sudden cardiac death was studied. Patient-specific models were generated at 3 stages: preoperative, postunroofing, and postreimplantation. Experimental assessment used 3-dimensional-printed aortocoronary models integrated with a pulsatile flow loop, whereas computational simulations were performed using computational fluid dynamics. Fractional flow reserve (FFR) and flow velocities were evaluated at rest and under simulated stress and compared with clinical stress FFR obtained during cardiac catheterization. Results: Clinical cardiac catheterization-derived FFR under dobutamine stress was 0.77 postunroofing and 0.99 after reimplantation. Experimental testing demonstrated similar stress FFR of 0.7 in native left AAOCA (with short intramural course), 0.8 after unroofing (compression from the intercoronary pillar), and 0.9 postreimplantation. Computational FFR agreed with both experimental and clinical measurements: lowest values were 0.74 preoperatively, 0.8 post unroofing, and 0.87 post reimplantation. Flow patterns and pressure gradients corresponded with surgical and anatomical observations, showing improved coronary perfusion after reimplantation. Conclusions: This hybrid experimental-computational workflow enables patient-specific assessment of AAOCA hemodynamics across sequential surgical stages. The approach provides accurate evaluation of coronary anatomy, cross-validation of model results, and preliminary mechanistic insight into ischemia, supporting the feasibility of this hybrid approach for patient-specific hemodynamic evaluation and motivating future investigation in larger cohorts.

Indexed as

3D-printingAAOCACFDexperimentshemodynamics

Identifiers

PMID42577246
PMCPMC13453851

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.