Total hip arthroplasty (THA) surgeries among young patients are on the increase, so it is crucial to predict the lifespan of hip implants correctly and produce solutions to improve longevity. Current implants are designed and tested against walking conditions to predict the wear rates. However, it would be reasonable to include the additional effects of other daily life activities on wear rates to predict convergent results to clinical outputs. In this study, 14 participants are recruited to perform stair ascending (AS), descending (DS), and walking activities to obtain kinematic and kinetic data for each cycle using marker based Qualisys motion capture (MOCAP) system. AnyBody Modeling System using the Calibrated Anatomical System Technique (CAST) full body marker set are performed Multibody simulations. The 3D generic musculoskeletal model used in this study is a marker-based full-body motion capture model (AMMR,2.3.1 MoCapModel) consisting of the upper extremity and the Twente Lower Extremity Model (TLEM2). The dynamic wear prediction model detailing the intermittent and overall wear rates for CoCr-on-XLPE bearing couple is developed to investigate the wear mechanism under 3D loading for AS, DS, and walking activities over 5 million cycles (Mc) by using finite element modelling technique. The volumetric wear rates of XLPE liner under AS, DS, and walking activities over 5-Mc are predicted as 27.43, 23.22, and 18.84 mm3/Mc respectively. Additionally, the wear rate was predicted by combining stair activities and gait cycles based on the walk-to-stair ratio. By adding the effect of stair activities, the volumetric wear rate of XLPE is predicted as 22.02 mm3/Mc which is equivalent to 19.41% of walking. In conclusion, in this study, the effect of including other daily life activities is demonstrated and evidence is provided by matching them to the clinical data as opposed to simulator test results of implants under ISO 14242 boundary conditions.
Microrecurrent glioma is a common neurological tumor, and the key to its surgical treatment is to accurately evaluate the size, location and degree of recurrence of the lesion. The purpose of this study was to explore the surgical treatment of microrecurrent glioma based on MR Imaging, and to provide accurate and reliable basis for clinical decision-making. Before surgery, detailed MR Imaging tests were performed for each patient to accurately locate and evaluate the characteristics of the lesions. Multimodal imaging examination were arranged to accurate the pre-operation diagnosis. Neuro-navigation is necessary for the operation design and tumor confirmation. Function monitor and intraoperation MR were prepared when necessary.Mini was defined by the size, location and symptoms. In all 5 cases requiring reoperation, total resection was achieved. No systemic and local complications occurred. No permeant neurological dysfunction remained. The average stay time after the operation is days. All patients survived in the recent follow-up. Reoperation of mini recurrent glioma is a good treatment choice. We made little injury to patients, which wouldn't affect their conditions and next therapies. Through MR Imaging, the diagnosis and location of microrecurrent glioma, as well as the relationship with surrounding tissues and the degree of infiltration, provide important information for surgeons to evaluate the resectable lesion. By combining MR And functional imaging results, the blood supply and functional area of the lesion can be monitored in real time during surgery, thereby reducing surgical risk and maximizing the protection of surrounding healthy tissue.
This research work explores the integration of medical and information technology, particularly focusing on the use of data analytics and deep learning techniques in medical image processing. Specifically, it addresses the diagnosis and prediction of fetal conditions, including Down Syndrome (DS), through the analysis of ultrasound images. Despite existing methods in image segmentation, feature extraction, and classification, there is a pressing need to enhance diagnostic accuracy. Our research delves into a comprehensive literature review and presents advanced methodologies, incorporating sophisticated deep learning architectures and data augmentation techniques to improve fetal diagnosis. Moreover, the study emphasizes the clinical significance of accurate diagnostics, detailing the training and validation process of the AI model, ensuring ethical considerations, and highlighting the potential of the model in real-world clinical settings. By pushing the boundaries of current diagnostic capabilities and emphasizing rigorous clinical validation, this research work aims to contribute significantly to medical imaging and pave the way for more precise and reliable fetal health assessments.
The frequent occurrence of thromboembolic cerebral events continues to limit the widespread implementation of Ventricular Assist Devices (VAD) despite continued advancements in VAD design and anti-coagulation treatments. Recent studies point to the optimal positioning of the outflow graft (OG) as a potential mitigator of post implantation thromboembolism.
This study aims to examine the tailoring of the OG implantation orientation with the goal of minimizing the number of thrombi reaching the cerebral vessels by means of a formal shape optimization scheme incorporated into a multi-scale hemodynamics analysis.
A 3-D patient-specific computational fluid dynamics model is loosely coupled in a two-way manner to a 0-D lumped parameter model of the peripheral circulation. A Lagrangian particle-tracking scheme models and tracks thrombi as non-interacting solid spheres. The loose coupling between CFD and LPM is integrated into a geometric shape optimization scheme which aims to optimize an objective function that targets a drop in cerebral embolization, and an overall reduction in particle residence times.
The results elucidate the importance of OG anastomosis orientation and placement particularly in the case that studied particle release from the OG, as a fivefold decrease in cerebral embolization was observed between the optimal and non-optimal implantations. Another case considered particle release from the ventricle and aortic root walls, in which optimal implantation was achieved with a shallow insertion angle. Particle release from all three origins was investigated in the third case, demonstrating that the optimal configurations were generally characterized by VAD flow directed along the central lumen of the aortic arch. Because optimal configurations depended on the anatomic origin of the thrombus, it is important to determine, in clinical studies, the most likely sites of thrombus formation in VAD patients.
We are developing an automatic fingertip-blood-sampling system to reduce the burden on trained medical personnel. For this system to withdraw a consistent volume of sampled blood for blood tests, we developed a mechanism for our system to select and puncture the vicinity of a large blood vessel from the blood-vessel image of an individual's fingertip. We call this mechanism the fingertip-vessel-puncture mechanism. From the results of an experiment in which the fingertips of 20 individuals (men and women in their 20 s to 60 s) were manually punctured at near and far locations from the blood vessel selected with our mechanism, the following conclusions were obtained. The fingertip-vessel-puncture mechanism tends to increase the volume of sampled blood, thus is effective in sampling more than 650 µL of blood for automatic blood analyzers. It was also found that it is more effective in increasing the volume of sampled blood in the men and those who were younger.
The current research findings will have potential applications in the development of drug-targeted and self-sterilizing technologies. This research investigates the bio-convective flow of Maxwell ferrofluid over a flexible spinning plate in the presence of a stationary magnetic field in this paper. This theoretical model is based on the CattaneoChristov theories, the Buongiorno microorganism model, and the Shliomis model, and it is solved using the finite element technique. Using the Galerkin weighted residual approach in COMSOL Multiphysics, the non-dimensional equations of this Maxwell ferrofluid model are numerically solved. The concentration and motility of the organism decrease with an increase in the ferromagnetic interaction number, concentration relaxation time parameter, Lewis number, and stretching parameter. In addition to increasing local heat transfer, local mass transfer, and local density of microorganisms, the ferromagnetic interaction number lowers the stress on the surface of the disk.
Exoskeletons and orthotic devices are commonly used in physical rehabilitation. However, these devices, fitting intimately with the human body, often lead to skin-related issues amongst users. Misalignments between orthotic and anatomical joints cause relative sliding motion between the limb and orthosis and also cause pressure points on the limb, which may contribute to these skin problems. This research quantifies the effects of sagittal plane ankle-joint misalignments for an ankle-foot orthosis (AFO) user during walking. A 2D mathematical model that simulates the effects of sagittal plane ankle-joint misalignments in terms of relative motion between the limb and the orthosis was developed using MATLAB software. The orthotic ankle-joint was systematically misaligned against the anatomical ankle-joint to generate various misalignment conditions. Published gait data of 5 healthy subjects was used to generate walking kinematics which was then superimposed with an articulated AFO. The simulations showed that Anterior-Posterior misalignments resulted in greater pistoning motion than Proximal-Distal misalignments. Combined misalignments (Posterior-Distal, Anterior-Proximal, Posterior-Proximal, and Anterior-Distal) resulted in higher overall relative motions between the limb and AFO. The model also predicted pressure points on the shank and foot caused by misalignments. This study demonstrates that misaligned ankle-joints in AFOs lead to relative sliding motion and pressure points during walking.
This work reports a novel POC diagnostic technique to identify the cancerous liver cell lines by designing a Source-Extended (SE) Tunnel Field Effect Transistor (TFET) having a Single-Gate (SG) with Single-Metal (SM) and Dual-Metal (DM) structure. The proposed structures have been equipped with nanocavities by trenching the gate oxide layer where the needle biopsy obtained liver sample has been immobilized. The detection is based on the difference in drain current and the ratio of the proposed device's ON and OFF state currents, which has been evaluated by obtaining the sensitivities. The cancerous and non-cancerous liver cell lines possess different dielectric properties in high frequencies ranging from 100 MHz to 5 GHz, affecting the cavity region's effective capacitances. The change in the dielectric constant of the specimen at 900 MHz has been considered which results in the change in device drain current and device performance. Various parameters of the device, like the adhesive layer in the cavity region, the material of the gate, the length of the cavities, and the orientation of the cavities, have been modified to observe the performance. The total work has been done in the simulation environment, which includes the study considering the different proportions of cancerous and non-cancerous cells in a particular specimen. A comparative analysis has been made between the performance of the proposed SM and DM gate structure. The proposed detection method has been compared with the existing methods reported in the literature. The proposed method can be considered a novel technique and can be implemented as a point of care (POC) diagnostic to detect whether the specimen liver cell line is cancerous.
Traditional treatment methods have certain limitations. In recent years, the technique of internal fixation with double-plane double-supported screws based on X-ray images has been proposed to improve the therapeutic effect. The main objective of this research was to examine the effectiveness of the X-ray image-based bi-planar double-braced screw internal fixation technique . During surgery, the procedure was determined based on X-ray images, followed by an open reduction procedure at the fracture site, and finally internal fixation using bi-planar double-support screws. All patients were successfully treated with X-ray image-based bi-planar double support screw fixation. After surgery, X-ray images showed a good reduction of the fracture site without significant loosening or failure of the internal fixation. At the postoperative follow-up, the patient's pain symptoms were significantly relieved, and no significant complications occurred during recovery.
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