Clinical studies have demonstrated the efficacy of stent supported coiling for intra-cranial aneurysm treatment. Despite encouraging outcomes, some matters are yet to be addressed. In particular closed stent designs are influenced by the delivery technique and may suffer from under-expansion, with the typical effect of "hugging" the inner curvature of the vessel which seems related to adverse events. In this study we propose a novel finite element (FE) environment to study potential failure able to reproduce the microcatheter "pull-back" delivery technique. We first verified our procedure with published in vitro data and then replicated the intervention on one patient treated with a 4.5 × 22 mm Enterprise microstent (Codman Neurovascular; Raynham MA, USA). Results showed good agreement with the in vitro test, catching both size and location of the malapposed area. A simulation of a 28 mm stent in the same geometry highlighted the impact of the delivery technique, which leads to larger area of malapposition. The patient specific simulation matched the global stent configuration and zones prone to malapposition shown on the clinical images with difference in tortuosity between actual and virtual treatment around 2.3%. We conclude that the presented FE strategy provides an accurate description of the stent mechanics and, after further in vivo validation and optimization, will be a tool to aid clinicians to anticipate the acute procedural outcome avoiding poor initial results.
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http://dx.doi.org/10.1007/s10439-015-1505-2 | DOI Listing |
Chempluschem
January 2025
Department of Chemical Engineering, Indian Institute of Science Education and Research Bhopal, Bhopal, 462066, Madhya Pradesh, India.
The agricultural sector of any country plays a pivotal role in its economy. Irrigation and the provision of appropriate nutrient levels in soil are essential for optimizing plant growth and enhancing crop productivity. To support the increasing need for food due to the growing population worldwide, synthetic fertilizers have been widely used in the agricultural sector.
View Article and Find Full Text PDFJ Int Med Res
January 2025
Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Objective: To evaluate whether there is an association between maternal mental health, purchase of psychotropic drugs, socioeconomic status and major congenital anomalies in offspring.
Methods: A register-based cohort study of 6189 Finnish primiparous women who had a singleton delivery between 2009 and 2015. Data on pregnancy and delivery outcomes, psychiatric diagnosis, prescription drug purchases and offspring congenital anomalies were obtained from Finnish national registers.
Curr Cancer Drug Targets
January 2025
Department of Clinical Laboratory, Gongli Hospital of Shanghai Pudong New Area, Shanghai, 200135, China.
Background: Lenvatinib is an oral tyrosine kinase inhibitor that selectively inhib-its receptors involved in tumor angiogenesis and tumor growth. It is an emerging first-line treatment agent for hepatocellular carcinoma (HCC). However, there is no intravenous ad-ministration of Lenvatinib.
View Article and Find Full Text PDFCurr Med Chem
January 2025
Department of Pharmaceutical Biotechnology, Anadolu University, Eskişehir, Turkey.
Introduction: The effectiveness of pharmaceutical treatment methods is vital in cancer treatment. In this context, various targeted drug delivery systems are being developed to minimize or eliminate existing deficiencies and harms. This study aimed to model the interaction of MEN-based drug-targeting systems with cancer cells and determine the properties of interacting MENs.
View Article and Find Full Text PDFCurr Med Chem
January 2025
Shree S. K. Patel College of Pharmaceutical Education and Research, Ganpat University, Kherva, 384012, India.
Aims: This study aimed to develop Imatinib Mesylate (IMT)-loaded Poly Lactic-co-Glycolic Acid (PLGA)-D-α-tocopheryl polyethylene glycol succinate (TPGS)- Polyethylene glycol (PEG) hybrid nanoparticles (CSLHNPs) with optimized physicochemical properties for targeted delivery to glioblastoma multiforme.
Background: Glioblastoma multiforme (GBM) is the most destructive type of brain tumor with several complications. Currently, most treatments for drug delivery for this disease face challenges due to the poor blood-brain barrier (BBB) and lack of site-specific delivery.
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