Annals of Biomedical Engineering最新文献

{"title":"GAPPTANet: Geometry-Adaptive Physics-Prior Thermal Ablation Network for Rapid 3D Temperature Prediction During Microwave Ablation in Nonperfused Liver Tissue.","authors":"Feifei Ding, Weiwei Wu, Qi Wang, Honghai Zhang, Saima Siddiqui, Zhuhuang Zhou, Shuicai Wu","doi":"10.1007/s10439-026-04451-9","DOIUrl":"https://doi.org/10.1007/s10439-026-04451-9","url":null,"abstract":"<p><strong>Purpose: </strong>Accurate three-dimensional temperature prediction is important for planning microwave ablation because incomplete heating may leave residual tumor, whereas excessive heating may damage adjacent structures. This study develops a fast and physically interpretable surrogate for predicting the 180-s endpoint temperature field in nonperfused liver tissue during single-antenna microwave ablation under a fixed protocol.</p><p><strong>Methods: </strong>GAPPTANet introduces an analytical specific absorption rate (SAR) field as an explicit heat-source prior, applies a Geometry-Aware Adapter to correct applicator-induced near-field approximation errors, and uses a Gated Dual-Branch Decoder to reconstruct global heat diffusion and local high-temperature boundaries. The model was trained and evaluated using 27,050 high-fidelity finite-difference frequency-domain electromagnetic-thermal simulations. Performance was assessed using full-field errors, 50 and 60  <math><mmultiscripts><mrow></mrow> <mrow></mrow> <mo>∘</mo></mmultiscripts> </math> C isotherm morphology, computational efficiency, ablation studies, and point-wise measurements from a limited ex vivo porcine liver experiment.</p><p><strong>Results: </strong>GAPPTANet achieved a full-field root-mean-square error of 0.6001  <math><mmultiscripts><mrow></mrow> <mrow></mrow> <mo>∘</mo></mmultiscripts> </math> C, a mean relative error of 0.5904%, and a batch-amortized GPU forward pass time of 1.58 ms per sample. It outperformed convolutional baselines and three neural-operator architectures under the same test setting. The ex vivo experiment yielded a pooled mean absolute error of <math><mrow><mn>2.83</mn> <mo>±</mo> <mn>1.82</mn> <mmultiscripts><mspace></mspace> <mrow></mrow> <mo>∘</mo></mmultiscripts> <mtext>C</mtext></mrow> </math> .</p><p><strong>Conclusion: </strong>Explicit heat-source priors combined with geometry-aware correction enable accurate, interpretable, and millisecond-scale 3D temperature prediction, supporting further development of AI-assisted microwave ablation planning.</p>","PeriodicalId":7986,"journal":{"name":"Annals of Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149369846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human‑Scale Lymphatic Modeling to Guide Lymphatic Interventions: Application to a Soft Robotic Assist Device.","authors":"Andreas Escher, Luca Rosalia, Elena Bosoni, Ellen T Roche, Marcus Granegger","doi":"10.1007/s10439-026-04413-1","DOIUrl":"https://doi.org/10.1007/s10439-026-04413-1","url":null,"abstract":"<p><strong>Purpose: </strong>The lymphatic system is essential for maintaining tissue-fluid homeostasis. In conditions of elevated venous pressures (e.g., congestive heart failure or congenital single-ventricle heart disease after Fontan palliation), increased capillary filtration and impaired lymphatic drainage disrupt this balance, predisposing patients to lymphatic overload and edema. The lack of human-scale computational models capturing lymphatic pumping and coupled tissue-fluid exchange limits the development of effective interventions.</p><p><strong>Methods: </strong>We developed a human-scale lumped-parameter model that combines multi-lymphangion thoracic duct pumping with a Starling-based tissue-fluid balance model, enabling integrated simulation of central lymphatic function and tissue-fluid homeostasis. The framework was used to evaluate surgical and device-based lymphatic interventions. Model predictions were combined with virtual fitting using MR-derived anatomy from three Fontan patients to demonstrate translational applicability and design an extravascular soft robotic lymphatic assist sleeve, whose performance was characterized in hydraulic benchtop experiments.</p><p><strong>Results: </strong>The model reproduced physiologic thoracic duct flow (~3.1L/day) and predicted interstitial fluid accumulation under venous hypertension (up to ~ 18 mL/min net accumulation). Surgical (lymphatic decompression) and device-based (extravascular sleeve) interventions increased thoracic duct flow and reduced simulated tissue-fluid accumulation (47% and 76.5% reduction, respectively), with the sleeve providing frequency-dependent augmentation. Virtual fitting confirmed anatomical feasibility of device implantation in all three Fontan patients. Benchtop testing demonstrated pressure step-ups from 5.5 to ~ 17 mmHg and flow augmentation from 2.5 to ~ 18 mL/min at actuation frequencies of 20-60 bpm.</p><p><strong>Conclusion: </strong>Our human-scale computational framework offers mechanistic insights into lymphatic dysfunction under elevated venous pressure and provides a platform for the design and evaluation of lymphatic interventions.</p>","PeriodicalId":7986,"journal":{"name":"Annals of Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149369847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"World Foundation Models and Agentic AI in Medicine: Physiological Simulation, Digital Twins, and Clinical Decision-Making.","authors":"Ethan Waisberg, Joseph W Guarnieri","doi":"10.1007/s10439-026-04445-7","DOIUrl":"https://doi.org/10.1007/s10439-026-04445-7","url":null,"abstract":"<p><p>Many foundation models that have entered medicine are language models, although foundation models for imaging and other modalities have also emerged. A second class is now emerging from robotics and autonomous driving, trained not to produce text but to predict how an environment evolves under action, and marketed under the designation world foundation model. We argue that medicine should approach this class with a specific form of caution. Medicine already possesses world models in the mechanistic simulators and digital twins built from physiology and physics, and the constraint on those has never been the volume of available data. The constraint is identifiability. A simulator learned from observational clinical records inherits the treatment policies that generated them, and rolling such a model forward under an alternative treatment recovers the practice pattern rather than the underlying physiology. We distinguish the settings where learned world models are likely to succeed from those where they will reproduce confounding at scale, and set out what validation would require.</p>","PeriodicalId":7986,"journal":{"name":"Annals of Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149357067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measurements of Intracranial Brain Deformation in Post-mortem Human Subject Specimens Subjected to Variable Impact Conditions.","authors":"Jean-Jacques Demiannay, MacKenzie Brannen, Sheng Xu, Amir Hossein Azadi, Parisa Dehghan, Shannon Goodwin, Wafa Yahiaoui-Djerboua, Reggie Taylor, Katherine Poon, Susan Brien, Michael Vassilyadi, Michael D Cusimano, Clara Karton, Blaine Hoshizaki, Oren E Petel","doi":"10.1007/s10439-026-04419-9","DOIUrl":"https://doi.org/10.1007/s10439-026-04419-9","url":null,"abstract":"<p><strong>Purpose: </strong>Traumatic brain injury (TBI) often results from falls, sports impacts, violence, and traffic or industrial-related events. It is principally attributed to inertial loading that produces intracranial deformations, rotations, tissue strains, and subsequent neuropathology. Computational approaches such as finite element models (FEMs) are used to predict brain biomechanics and injury patterns, but their validity depends on experimental, biofidelic datasets of in situ human brain-skull kinematics and regional deformation, which to date, are limited. This study's objective was to measure the dynamic response of the brain when subjected to variable head impact severities, direction, and impactor compliance.</p><p><strong>Methods: </strong>This study used high-speed X-ray cinematography to quantify the dynamic response of discrete anatomical regions in post-mortem human subject (PMHS) heads across systematically varied impact conditions. We derived brain-skull relative displacement and strain time histories suitable for FEM validation and inter-model comparison.</p><p><strong>Results: </strong>Frontal impacts produced consistently larger peak displacements and strains than occipital impacts regardless of impact compliance or gross kinematics. Regional analysis revealed spatially non-uniform deformation, with the greatest displacements and strains observed in superior regions, possibly related to differences in local skull and meningeal geometry in the region relative to the skull base. These results demonstrate the sensitivity of intracranial mechanics to impact direction, site, and local boundary geometry.</p><p><strong>Conclusion: </strong>The datasets generated here provide experimentally grounded targets for validating and improving FEMs. The results also inform our understanding of the evolution of neuropathology in TBI and the development of protective strategies that account for directional and regional vulnerability in patients who sustain TBI.</p>","PeriodicalId":7986,"journal":{"name":"Annals of Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149357066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning in Smart Hydrogel 4D Printing: Advances, Challenges, and Translational Perspectives.","authors":"Shahad Almansour, Lulwah M Alkwai, Kusum Yadav, Debashis Dutta","doi":"10.1007/s10439-026-04400-6","DOIUrl":"https://doi.org/10.1007/s10439-026-04400-6","url":null,"abstract":"<p><p>The convergence of artificial intelligence (AI) and smart hydrogel-based additive manufacturing offers new capabilities for fabricating adaptive structures, though the field remains in early stages of translation. Smart hydrogels, with their stimuli-responsive properties and biocompatibility, present opportunities in tissue engineering, drug delivery, and soft robotics. However, the complexity of their material behavior and the challenges of high-resolution four-dimensional (4D) printing demand advanced computational approaches to optimize design, processing, and performance. This review systematically examines the role of AI, encompassing machine learning (ML), deep learning (DL), and generative models, in addressing these challenges. We critically assess AI-driven strategies for hydrogel formulation, real-time process control, structural optimization, and biological outcome prediction, distinguishing between retrospectively fitted models and prospectively validated implementations. A key contribution of this review is the clear differentiation between AI-assisted 3D printing and genuine 4D printing, where constructs exhibit time-dependent shape change, actuation, or degradation in response to stimuli. We introduce AI applications in specific hydrogel printing domains, provide a comparative framework for distinguishing 3D from 4D systems, and critically evaluate quantitative claims with attention to dataset size, validation approaches, and reproducibility. Case studies highlight where AI enhances printability, resolution, and functional outcomes, while we also identify persistent limitations including data scarcity, model interpretability, and regulatory hurdles. A comparative analysis of AI-assisted versus traditional design-of-experiment strategies reveals that while AI offers advantages in high-dimensional spaces, traditional methods remain more accessible, interpretable, and reproducible for simpler systems. By synthesizing recent advancements with transparent methodology and practical guidance, this study provides a roadmap for future research at the intersection of AI and smart hydrogel additive manufacturing, advocating for interdisciplinary collaboration and standardized reporting to enable next-generation innovations.</p>","PeriodicalId":7986,"journal":{"name":"Annals of Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149357065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a Simplified Multi-Physics Computational Model of the Coronary Microcirculation.","authors":"Yuji Tomizawa, Patricia E McCallinhart, Yukie Ueyama, Aaron J Trask, Samir N Ghadiali","doi":"10.1007/s10439-026-04421-1","DOIUrl":"https://doi.org/10.1007/s10439-026-04421-1","url":null,"abstract":"<p><p>Coronary blood flow (CBF) is influenced by multiple biophysical factors, including vascular function (vasoconstriction/vasodilation), structural remodeling (vascular wall thickening), tissue mechanical properties (stiffness), cardiac electrophysiology, and dynamic extravascular forces. However, it is difficult to experimentally determine how these biophysical factors interact to regulate CBF. For example, during type 2 diabetes (T2D) reduced vascular wall stiffness due to reduced coronary vascular smooth muscle cell (VSMC) stiffness, increased wall thickness due to inward hypertrophic remodeling and increased myocardial stiffness may alter CBF. However, the relative importance of these biophysical factors and their direct effect on CBF is not known. Here, we developed a simplified multi-physics computational model of myocardial tissue deformation and intramyocardial blood flow and used this model to investigate how several biophysical factors influence CBF. This model accounts for excitation-contraction coupling, myocardial fiber structure, dynamic myocardial contraction, passive myocardial mechanical properties, and the mechanics of VSMCs in the coronary microvascular walls. Baseline models yielded CBF velocity waveforms that exhibited peak diastolic velocities and waveform morphologies that were comparable to Doppler echocardiography measurements in normal adult humans. Parameter variation studies were conducted to investigate how several biophysical factors alter the morphological properties of the CBF velocity waveform, and results indicate that VSMC and passive myocardial tissue stiffness were the major drivers of CBF. In addition, the flow regulatory properties of VSMCs were found to depend on the degree of myocardial stiffness. This computational framework represents a new way to investigate how coronary-cardiac interactions regulate CBF.</p>","PeriodicalId":7986,"journal":{"name":"Annals of Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149340392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mental-Fatigue-Related Changes in EEG Microstate Dynamics and Microstate-Conditioned Phase-Amplitude Coupling.","authors":"Mingxiu Han, Yuwen Wang, Hao Liu, Haijun Niu, Zhongtao Hu, Tao Liu","doi":"10.1007/s10439-026-04436-8","DOIUrl":"https://doi.org/10.1007/s10439-026-04436-8","url":null,"abstract":"<p><strong>Purpose: </strong>Mental fatigue in pilots is a critical risk factor for flight safety. This study aimed to characterize electroencephalographic (EEG) microstate temporal dynamics and microstate-conditioned phase-amplitude coupling across different levels of mental fatigue during a simulated-flight task, and to examine the within-participant associations between these measures.</p><p><strong>Methods: </strong>EEG signals were acquired during simulated-flight tasks to analyze neural activity patterns across different mental fatigue levels. The study focused on the temporal parameters of EEG microstates, and the theta-low-beta, theta-high-beta, alpha-low-beta, and alpha-high-beta phase-amplitude couplings (PACs) in the frontal and parietal lobe regions. Linear mixed-effects models were employed to analyze how microstate parameters and PAC metrics varied with mental fatigue levels. Repeated-measures correlations examined within-participant associations between microstate C temporal parameters and PAC under low and high mental fatigue.</p><p><strong>Results: </strong>Compared with the low mental fatigue condition, high mental fatigue was associated with shorter duration, lower occurrence, and lower time coverage of microstate C. Within microstate C, high mental fatigue was associated with higher theta-low-beta PAC in the left parietal and right frontal regions; theta-high-beta PAC in the left frontal, left parietal, and right frontal regions; alpha-low-beta PAC in the bilateral frontal regions; and alpha-high-beta PAC in the right frontal region. Repeated-measures correlations further revealed multiple significant negative within-participant associations between microstate C temporal parameters and microstate C-conditioned PAC under both fatigue conditions. More associations survived FDR correction under high mental fatigue, and most corresponding coefficients were numerically more negative; however, between-condition differences in the correlation coefficients were not formally tested.</p><p><strong>Conclusion: </strong>These findings characterize mental-fatigue-related changes in microstate temporal dynamics and microstate-conditioned PAC, together with exploratory within-participant associations between these measures, and provide new insights into the neural activity patterns associated with mental fatigue.</p>","PeriodicalId":7986,"journal":{"name":"Annals of Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149340393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biomechanical Test Designs for Fixation of Traumatic Pubic Symphysis Diastasis: A Systematic Review of Key Methodological Choices in a Field Without Consensus.","authors":"Suzanne van Wees, Frank F A IJpma, Mirka L Buist, Nick Assink, Paul C Jutte, Anne M L Meesters","doi":"10.1007/s10439-026-04440-y","DOIUrl":"https://doi.org/10.1007/s10439-026-04440-y","url":null,"abstract":"<p><strong>Purpose: </strong>Traumatic pubic symphysis diastasis (PSD) is associated with high fixation failure rates, yet biomechanical studies use highly variable test designs, limiting comparison and clinical translation. This systematic review summarizes biomechanical test designs for PSD fixation to guide standardization and improve interpretation of fixation performance.</p><p><strong>Methods: </strong>A systematic search of PubMed and Embase up to December 2025 identified experimental and finite element modeling (FEM) studies on PSD fixation. Methodological characteristics, including injury classification, fixation, ligament and muscle representation, loading conditions, mechanical or computational setup, specimen material and outcome measures, were extracted. Data were synthesized descriptively, and a custom quality appraisal framework assessed reporting completeness and methodological rigor.</p><p><strong>Results: </strong>Sixty-four studies were included (57 experimental, 6 FEM, one both), with substantial methodological variation. Most modeled APC II/III injuries, using plate, external, or semi-rigid fixation methods. Around half included posterior fixation. In experimental studies, synthetic pelves were common (41%), though ligaments were represented only in cadaveric and FEM studies. Loading typically simulated single- or double-leg stance using quasi-static sacral loading (~400 N). Displacement at the pubic symphysis was the most common outcome, measured in 2D or 3D, while FEM studies often assessed implant stress.</p><p><strong>Conclusion: </strong>We propose a baseline experimental model and practical guidance for biomechanical evaluation of PSD fixation. Key challenges remain, including ligament representation and physiological loading, for which FEM may provide valuable opportunities. Although the available evidence is limited by methodological heterogeneity and incomplete reporting, this review provides a framework to improve interpretation, comparability, and future standardization of biomechanical studies.</p><p><strong>Clinical trial registration: </strong>PROSPERO ID: CRD420251135311.</p>","PeriodicalId":7986,"journal":{"name":"Annals of Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149332160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Vitro Blood Clot Mechanical Properties are Associated with Fibrinogen and White Blood Cell Subtypes in Addition to Hematocrit and Sex.","authors":"Grace N Bechtel, Nandini Senthilkumar, Juliette Noyer, Tatum Eades, Jan Fuhg, Jonathan I Tamir, Hamidreza Saber, Sapun H Parekh, Manuel K Rausch","doi":"10.1007/s10439-026-04423-z","DOIUrl":"https://doi.org/10.1007/s10439-026-04423-z","url":null,"abstract":"<p><strong>Purpose: </strong>Understanding the role of blood composition in clot mechanics may provide critical cues toward their diagnosis and treatment. To this end, we previously showed that sex and standard blood composition measures explain some variability in clot mechanics, but much remains unaccounted for. Ours and others' studies largely ignored the roles of fibrinogen and white blood cell (WBC) subtypes, which is surprising given their physiological importance. To develop a more complete understanding of what influences clots' mechanical properties, we now study the role of fibrinogen levels and WBC subtypes in addition to sex and standard blood composition measures.</p><p><strong>Methods: </strong>We drew blood from healthy young adults and prepared in vitro clot samples. Using pure shear and mode-I fracture tests, we measured clots' stiffness, fracture toughness, strength, and work to rupture. We then used linear regression to assess associations between blood composition and clot mechanical properties, reporting <math><msup><mi>R</mi> <mn>2</mn></msup> </math> to describe the strength of these associations.</p><p><strong>Results: </strong>Fibrinogen shows the strongest associations with clot mechanical properties, positively correlating with all four metrics and achieving the highest average <math><msup><mi>R</mi> <mn>2</mn></msup> </math> . For example, fibrinogen is associated with 70% of the variance in stiffness and 78% in fracture toughness. Among WBC subtypes, neutrophils positively correlate with strength and work to rupture, whereas eosinophils negatively correlate with strength.</p><p><strong>Conclusion: </strong>Our work identifies strong associations between fibrinogen levels and WBC subtypes and in vitro clot mechanical properties, relationships that were largely unexplored in whole blood. Future studies should connect these findings to in vivo clot behavior and clinical outcomes.</p>","PeriodicalId":7986,"journal":{"name":"Annals of Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149332161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Semi-automated Generation and Hemodynamic Assessment of Surgical Baffle Geometry for Biventricular Repair.","authors":"Elena Sabdy Martinez, Alexander D Kaiser, Alexander K Reed, Sascha W Stocker, Amit Sharir, Perry S Choi, Shiraz A Maskatia, Michael R Ma, Alison L Marsden","doi":"10.1007/s10439-026-04415-z","DOIUrl":"https://doi.org/10.1007/s10439-026-04415-z","url":null,"abstract":"<p><p>Patient-specific computational modeling has emerged as a powerful tool for surgical planning in complex congenital heart disease. One promising application is complex biventricular repair, which often requires construction of a custom intraventricular baffle to establish a physiologic left ventricle-to-aorta outflow pathway. In current practice, baffle geometry is designed and shaped intraoperatively. While existing preoperative modeling tools increasingly support visualization and virtual baffle design, the design process remains predominantly manual, and watertight models for quantitative hemodynamic assessment remain limited. We present a semi-automated computational framework for the design and assessment of patient-specific intraventricular baffles. The method constructs an explicit ventricular septal defect (VSD)-to-aorta flow pathway that preserves native right ventricular myocardial and VSD geometry while reshaping the baffle region to satisfy patient-specific, section-wise area constraints. We retrospectively applied this framework to four patients with double outlet right ventricle (DORV) who had previously undergone biventricular repair. Each generated pathway was evaluated with pulsatile computational fluid dynamics (CFD), producing peak-flow pressure differences of 1.58-5.94 mmHg under the prescribed flow conditions. All modeled pressure differences remained below the 10-mmHg planning benchmark across mesh resolutions and under elevated flow. The current implementation preserves the native VSD and does not model VSD enlargement or conal resection; however, it provides a computational framework through which these interventions could be evaluated in silico. By translating a surgeon-defined baffle boundary into a physiologically constrained, simulation-ready model, this approach enables quantitative preoperative design and CFD-based evaluation of candidate baffle geometries, advancing patient-specific computational planning for biventricular flow restoration in heterogeneous anatomies.</p>","PeriodicalId":7986,"journal":{"name":"Annals of Biomedical Engineering","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149317353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}