Physical anatomical models constructed from medical images are valuable research tools for evaluating patient-specific clinical circumstances. For example, 3D models replicating a patient's internal anatomy in the cardiovascular system can be used to validate Computational Fluid Dynamics (CFD) models, which can then be used to identify potential hemodynamic consequences of surgical decisions by providing insight into how blood and vascular tissue mechanics may contribute to disease progression and post-operative complications. Patient-specific models have been described in the literature; however, rapid prototyping models that achieve anatomical accuracy, optical transparency, and thin-walled compliance in a cost and time-effective approach have proven challenging. This limits their utility for modeling flows in vessels, g, the aorta, where compliance is particularly important. The work described herein is focused on a unique design and fabrication process implemented to produce physical patient-specific models that replicate the original anatomy dimensions and compliance with optical properties consistent with clinical imaging techniques. The patient-specific models are produced for under $150 of easily accessible consumable raw materials within 30 h using a relatively basic approach.•This method can be tuned for anatomies with different shapes and compliance.•This method can produce models to investigate medical device performance .
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http://dx.doi.org/10.1016/j.mex.2024.103124 | DOI Listing |
Circ Res
January 2025
Division of Cardiology, Department of Medicine, Pittsburgh Heart, Lung, Blood and Vascular Medicine Institute, University of Pittsburgh, PA. (R.A.C., C.C.C., R.W., A.C., C.B., C.R., W.J.M., M.J. Bashline, A.P., A.M.P., P.B., M.J. Brown, C.S.H.).
Background: Calcific aortic valve disease is the pathological remodeling of valve leaflets. The initial steps in valve leaflet osteogenic reprogramming are not fully understood. As TERT (telomerase reverse transcriptase) overexpression primes mesenchymal stem cells to differentiate into osteoblasts, we investigated whether TERT contributes to the osteogenic reprogramming of valve interstitial cells.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Stomatology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and heterogeneous nature. This review explores the potential of Artificial Intelligence (AI) to transform sepsis management, from early detection to personalized treatment and real-time monitoring. AI, particularly through machine learning (ML) techniques such as random forest models and deep learning algorithms, has shown promise in analyzing electronic health record (EHR) data to identify patterns that enable early sepsis detection.
View Article and Find Full Text PDFFront Pharmacol
January 2025
Department of Neurosurgery, The First Hospital, Jilin University, Changchun, Jilin, China.
Glioblastoma (GBM) remains one of the most aggressive and treatment-resistant brain tumors, necessitating innovative therapeutic approaches. Polymer-based nanotechnology has emerged as a promising solution, offering precise drug delivery, enhanced blood-brain barrier (BBB) penetration, and adaptability to the tumor microenvironment (TME). This review explores the diverse applications of polymeric nanoparticles (NPs) in GBM treatment, including delivery of chemotherapeutics, targeted therapeutics, immunotherapeutics, and other agents for radiosensitization and photodynamic therapy.
View Article and Find Full Text PDFMethodsX
June 2025
Texas A&M University Department of Biomedical Engineering, College Station, TX 77840, US.
Physical anatomical models constructed from medical images are valuable research tools for evaluating patient-specific clinical circumstances. For example, 3D models replicating a patient's internal anatomy in the cardiovascular system can be used to validate Computational Fluid Dynamics (CFD) models, which can then be used to identify potential hemodynamic consequences of surgical decisions by providing insight into how blood and vascular tissue mechanics may contribute to disease progression and post-operative complications. Patient-specific models have been described in the literature; however, rapid prototyping models that achieve anatomical accuracy, optical transparency, and thin-walled compliance in a cost and time-effective approach have proven challenging.
View Article and Find Full Text PDFN Am Spine Soc J
March 2025
Department of Orthopaedics, Rutgers New Jersey Medical School, Newark, New Jersey, United States.
Background: Chordoma is a rare bone cancer arising from the embryonic notochord with special predilection to the axial skeleton. The locally destructive nature and metastatic potential of chordomas can lead to devastating outcomes in terms of survival. The purpose of this study was to examine potential risk factors predictive of metastatic disease at presentation and prognostic factors in patients with metastasis.
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