Irbm最新文献

{"title":"Enhancing Precision and Personalization in Surgical Management of Osteogenesis Imperfecta Through Advanced Technologies: A Case Study","authors":"Yary Volpe ,&nbsp;Simone Lazzeri","doi":"10.1016/j.irbm.2025.100900","DOIUrl":"10.1016/j.irbm.2025.100900","url":null,"abstract":"<div><h3>Background and Objective</h3><div>The paper aims to demonstrate the integration of advanced technologies, including computed tomography (CT), computer-aided design (CAD), and additive manufacturing, for precise surgical planning and personalized solutions in the management of Osteogenesis Imperfecta (OI). The main research question is to determine how these technologies can be utilized to achieve successful surgical outcomes in severe cases of OI, such as the one presented in this study.</div></div><div><h3>Methods</h3><div>The study involved an 11-year-old child with OI who suffered from a closed right diaphyseal femur fracture and severe lower extremity abnormalities. Virtual and physical planning procedures were carried out using CAD software based on patient-specific CT models. The length of the proximal and distal segments, cutting planes, and osteotomies were precisely defined to achieve the desired surgical corrections. Additionally, 3D models of the bones and bony segments were manufactured using additive manufacturing to physically recreate the surgical procedure.</div></div><div><h3>Results</h3><div>The surgical treatment involved the correction of the right femur fracture and the left tibia and fibula in the first procedure, followed by the correction of the remaining segments in a second procedure. The Fassier-Duval telescopic intramedullary nail was used to stabilize the fracture and the osteotomy sites. The entire treatment course, from the first surgery to achieving partial weight-bearing, spanned approximately 15 weeks, including the two surgical procedures and staged rehabilitation. Post-surgery, the patient showed significant functional improvement, including the ability to stand and walk with assistance.</div></div><div><h3>Conclusion</h3><div>The integration of advanced technologies in surgical planning for OI patients has shown promising results, leading to improved patient outcomes and reduced complications. This approach has the potential to enhance the accuracy of preoperative planning and provide personalized and precise solutions, ultimately elevating the overall quality of healthcare for OI patients.</div></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"46 4","pages":"Article 100900"},"PeriodicalIF":5.6,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144190184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Virtual Surgical Planning/3D Printing for the Management of Severely Comminuted Mandibular Fractures","authors":"Ning Zhao ,&nbsp;Fu-Chen Wang ,&nbsp;Hao-Ran Zhao ,&nbsp;Ling-Fa Xue ,&nbsp;Wen-Lin Xiao","doi":"10.1016/j.irbm.2025.100894","DOIUrl":"10.1016/j.irbm.2025.100894","url":null,"abstract":"<div><h3>Objectives</h3><div>Severely comminuted mandibular fractures present significant challenges due to the loss of spatial orientation of bone fragments, making precise reduction difficult. Traditional methods rely heavily on the surgeon's experience, often leading to suboptimal outcomes. Virtual surgical planning (VSP) and 3D printing have emerged as innovative tools to enhance surgical precision and efficiency in complex maxillofacial cases. This study aimed to evaluate the efficacy of VSP and 3D printing in achieving accurate reduction and fixation of severely comminuted mandibular fractures, using customized surgical guides and pre-bent titanium plates.</div></div><div><h3>Material and Methods</h3><div>Five patients with severely comminuted mandibular fractures were included. Preoperative computed tomography (CT) data were imported into MIMICS software for VSP, where fracture fragments were virtually aligned. Short-segment drilling guides (SSDGs) and a horseshoe-shaped reduction guide (HSRG) were designed using 3-Matic software and 3D printed. Intraoperatively, SSDGs were used to drill screw holes, and HSRG, along with pre-bent titanium plates, facilitated precise reduction and fixation of bone fragments. Postoperative outcomes were assessed using 3D CT scans, and mandibular parameters were compared between preoperative VSP and postoperative data.</div></div><div><h3>Results</h3><div>All five patients achieved successful reduction with satisfactory mandibular contour and occlusal relationships at three months postoperatively. There were no significant differences in mandibular parameters (CoD, GoL-GoR, ΔGo-Me, ∠GoL-Me-GoR, and Δ∠Co-Go-Me) between preoperative VSP and postoperative measurements (p &gt; 0.05). The average number of fracture fragments per patient was 8.8, with an average operation time of 169 minutes.</div></div><div><h3>Conclusions</h3><div>VSP combined with 3D printing offers a reliable and precise method for managing severely comminuted mandibular fractures. This approach reduces surgical complexity, enhances accuracy, and provides excellent functional and aesthetic outcomes, making it a valuable tool for complex mandibular fracture management.</div></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"46 4","pages":"Article 100894"},"PeriodicalIF":5.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finite Element Analysis of Knee Implant Materials Under Cyclic Loading Condition: An Analysis of Failures","authors":"Deepak Kumar,&nbsp;Rina Maiti","doi":"10.1016/j.irbm.2025.100893","DOIUrl":"10.1016/j.irbm.2025.100893","url":null,"abstract":"<div><h3>Objectives</h3><div>This study aims to evaluate the mechanical performance of knee implant materials under cyclic loading conditions using Finite Element Methods (FEM). The analysis focuses on three commonly used femoral and tibial component materials: Co-Cr-Mo alloy, Stainless Steel (ISO 5832-1), and Titanium alloy (ISO 5832-2). A plastic cushion of ultra-high molecular weight polyethylene (UHMWPE) is used consistently across all material combinations. The goal is to determine the optimal material for minimizing stress and deformation under n number (millions) of cyclic loading conditions.</div></div><div><h3>Methods</h3><div>Finite element analysis (FEA) was conducted using ABAQUS to simulate the mechanical performance of the knee implant materials under cyclic loading conditions. The applied loading conditions varied from 700 N to 3500 N, corresponding to the vertical ground reaction and gait cycle forces. The three metallic materials were analysed with UHMWPE to assess contact pressure distribution and wear of PE component after n numbers of cycles.</div></div><div><h3>Results</h3><div>The analysis showed that Co-Cr-Mo alloy exhibited the least stress 13 MPa and deformation 0.17 mm among the three materials. Paired with PE, it has the least contact pressure, 0.8 MPa, and the wear rate of PE is 0.116 mm/million cycles. Titanium alloy and Stainless Steel (ISO 5832-1) showed higher stress and deformation, indicating lower durability under cyclic loading.</div></div><div><h3>Conclusion</h3><div>These findings highlight Co-Cr-Mo alloy as the optimal material for knee implants, enhancing mechanical stability and longevity. This selection minimizes failure rates and revision surgeries.</div><div>Future work includes experimental validation and advanced modelling to refine computational findings and develop patient-specific implants.</div></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"46 3","pages":"Article 100893"},"PeriodicalIF":5.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-Task Hierarchical Model of Medical Images Based on Alternate Interaction","authors":"Yucheng Song ,&nbsp;Chenxi Li ,&nbsp;Kangxu Fan ,&nbsp;Lifeng Li ,&nbsp;Jia Guo ,&nbsp;Muhammad Ayoub ,&nbsp;Zhifang Liao ,&nbsp;Yitao Zuo","doi":"10.1016/j.irbm.2025.100892","DOIUrl":"10.1016/j.irbm.2025.100892","url":null,"abstract":"<div><div>In the field of medical image segmentation and classification, deep learning models can automatically extract features and perform high-performance inference, thus aiding physicians in efficient and accurate automated decision support. However, these models are typically trained for a single task, leading to limitations such as neglect of task relevance and poor scalability. To address these issues, we propose a novel Alternating Multi-Task Hierarchical Network (AMTH-Net) for medical image segmentation and classification. This model is divided into three hierarchical modules: Pathology Region Clarity (PRC) as an auxiliary module to enhance the capabilities of segmentation and classification, Multi-Resolution Attention (MRA) segmentation module that uses deep supervision to focus on image information at various resolution levels to improve segmentation accuracy, and Cascaded Multi-Scale Information (CMSI) classification module which employs a cascaded multi-scale mechanism to gradually integrate discrete information from different network layers, thereby enhancing classification performance. Additionally, we introduce a novel Alternating Interaction Loss (AI-Loss) based on Multi-Gradient Information Feedback (MGIF) algorithm to further enhance the model's segmentation and diagnostic performance. Our experiments on the COVID CXR and F BUSI Breast Ultrasound datasets show that AMTH-Net achieves superior performance in both segmentation and classification tasks. Specifically, on the COVID chest X-ray (COVID CXR) dataset, the Dice coefficient of AMTH-Net reaches 98.33%, the Intersection over Union (IOU) is 96.31%, and the accuracy rate is 91.49%, outperforming existing methods in terms of performance. On the F BUSI dataset, its Dice coefficient is 96.76%, the Intersection over Union (IOU) is 95.92%, and the accuracy rate is 95.87%, surpassing other methods once again. These results confirm the effectiveness and superiority of the model we proposed.</div></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"46 3","pages":"Article 100892"},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MISA-Net: A Multi-Scale Feature Interaction Network for Brain Tumor Segmentation","authors":"Xiaobao Liu ,&nbsp;Junfeng Xia ,&nbsp;Wenjuan Gu ,&nbsp;Tingqiang Yao ,&nbsp;Jihong Shen ,&nbsp;Dan Tang","doi":"10.1016/j.irbm.2025.100891","DOIUrl":"10.1016/j.irbm.2025.100891","url":null,"abstract":"<div><h3>Background and Objective</h3><div>Accurate segmentation of brain tumor images is crucial in medical auxiliary diagnosis. However, the complex morphology and ambiguous boundary contours of brain tumors pose significant challenges to precise segmentation.</div></div><div><h3>Methods</h3><div>To address these issues, we developed MISA-Net, which is based on enhanced multi-scale feature interactions and selective feature fusion attention. Initially, a Multi-Scale Feature Interaction (MSFI) module was implemented to enhance the interaction between features at different scales, resolving issues of misclassification in regions with complex tumor morphologies. Subsequently, a Selective Feature Fusion Attention (SFFA) mechanism was introduced to reduce the interference of redundant information in skip connections on crucial features.</div></div><div><h3>Results</h3><div>Experiments on the BraTS 2019 dataset show that MISA-Net achieved Dice coefficients of 80.02%, 88.86%, and 86.02% in the enhancing, core, and whole tumor areas, respectively. Additionally, the Dice coefficient for the whole tumor area impressively reached 90.33% on the Kaggle LGG dataset; the Dice coefficient for the whole tumor area impressively reached 84.97% on the Figshare dataset.</div></div><div><h3>Conclusions</h3><div>Compared to existing mainstream models, MISA-Net demonstrates superior performance in brain tumor segmentation tasks, highlighting its potential and advantages in clinical diagnosis and treatment.</div></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"46 3","pages":"Article 100891"},"PeriodicalIF":5.6,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Case-Based Simulation to Support Complex Active Catheterization: Preliminary Results","authors":"Arif Badrou ,&nbsp;Aurélien de Turenne ,&nbsp;Nathan Lescanne ,&nbsp;Jérôme Szewczyk ,&nbsp;Raphaël Blanc ,&nbsp;Nahiène Hamila ,&nbsp;Nicolas Tardif ,&nbsp;Aline Bel-Brunon ,&nbsp;Pascal Haigron","doi":"10.1016/j.irbm.2025.100890","DOIUrl":"10.1016/j.irbm.2025.100890","url":null,"abstract":"<div><h3>Objective</h3><div>Active catheters are intended to support endovascular navigation in complex anatomies. Nevertheless, their configuration and utilization are challenging. Finite element (FE) modeling representing the navigation of active guidewires alongside catheters can be considered at an early stage to identify the best parameters and support physicians in their planning and procedure. However, FE simulations require significant computation time. We introduce the concept of case-based simulation (CBS) to quickly find adequate configuration parameters for complex catheterization scenarios.</div></div><div><h3>Method</h3><div>Combining case-based reasoning and FE simulation, CBS approach is considered to reuse design and navigation parameters from previous simulations. A case base is made of successful catheterization simulations performed on reference aorta geometries. For a new patient, a distance metric based on a statistical shape model is used to determine appropriate catheterization parameters from previously simulated cases. The proof-of-concept of this method is performed in the case of the navigation from the aortic arch to the left carotid artery. Among 11 patient-specific aortic arches, three were selected for the reference FE simulations of the left carotid artery hooking to constitute the case base and three others were selected for evaluation.</div></div><div><h3>Results</h3><div>The retrieved parameters allowed a successful simulated navigation in 100% of the test cases. This demonstrates that the proposed approach can effectively and instantaneously determine appropriate design and navigation parameters for complex catheterization scenarios.</div></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"46 3","pages":"Article 100890"},"PeriodicalIF":5.6,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patchwise Trabecular Bone Reconstruction of a 2D Proximal Femur Using Deep Learning and Seamless Quilting Algorithm","authors":"Bong Ju Chun ,&nbsp;Sang Min Sin ,&nbsp;Hyukjin Koh ,&nbsp;Jung Jin Kim ,&nbsp;In Gwun Jang","doi":"10.1016/j.irbm.2025.100889","DOIUrl":"10.1016/j.irbm.2025.100889","url":null,"abstract":"<div><h3>Background and Objective</h3><div>Current <em>in vivo</em> imaging modalities such as CT and MRI provide low-resolution (LR) skeletal images of a limited resolution (400 to 600 μm), which is insufficient to precisely evaluate bone strength. Similarly, recent deep learning technologies show a limitation in terms of upscale ratio and image size. They also require a large number of high-resolution (HR) reference images for training, which are unavailable to acquire in clinical practice. Although topology optimization shows the potential to reconstruct HR skeletal images from CT scan data, it requires extreme computing cost for a limited region of interest (ROI). The goal of this study is to acquire a 2D HR full proximal femur image by reconstructing HR patch images via a deep neural network and merging them seamlessly.</div></div><div><h3>Methods</h3><div>Topology optimization was conducted to generate synthetic proximal femur images. After these HR images were downscaled 10 times, finite element analysis was conducted to evaluate the structural behavior of the downscaled LR images. By dividing the proximal femur images into a set of patches which share their cut boundary, we could generate a total of 52,000 pairs of the HR and LR image patches and the LR structural behavior (nodal displacement in this study). Then, these patch-wise data were used to train three different deep neural networks: ResNet, U-Net, and SRGAN. Finally, after the HR patch images were upscaled 10 times by the trained networks, they were seamlessly merged by minimizing a structural discontinuity on the patch boundary.</div></div><div><h3>Results</h3><div>The reconstructed HR proximal femur images were evaluated at three different ROIs in terms of image quality, apparent stiffness, and trabecular morphometric indices. They showed characteristic trabecular patterns with no visible structural discontinuity between the patches in all ROIs. Among three networks, ResNet showed the best performance in all quantitative measures.</div></div><div><h3>Conclusion</h3><div>This study proposes a novel framework that incorporates deep learning-based patchwise reconstruction and seamless quilting algorithm. Because the proposed method requires a very small number of reference HR images (only 11 synthetic full proximal femur images in total), it could be expanded to reconstruct trabecular bone from 3D clinical CT scan data for more reliable bone strength assessment in clinical practice.</div></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"46 3","pages":"Article 100889"},"PeriodicalIF":5.6,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Approach to Compute Fetal Cardiac Biomarkers from the Abdominal Electrocardiogram","authors":"Paula Romina Soria ,&nbsp;Pablo Daniel Cruces ,&nbsp;César Federico Caiafa ,&nbsp;Pedro David Arini","doi":"10.1016/j.irbm.2025.100886","DOIUrl":"10.1016/j.irbm.2025.100886","url":null,"abstract":"<div><div><strong>Objective:</strong> The fetal electrocardiogram (FECG) can be recorded from the <span><math><msup><mrow><mn>20</mn></mrow><mrow><mi>t</mi><mi>h</mi></mrow></msup></math></span> week of gestation. The aim of this work is to determine fetal cardiac biomarkers from non-invasive cardiac signals that may be useful in the assessment of fetal health. <strong>Methods:</strong> We have developed an algorithm to obtain FECG fiducial points. It started by discriminating fetal heartbeats based on the relative location between fetal and maternal QRS complexes. An average beat is derived from the abdominal electrocardiogram (AECG) using 20 beats with a correlation greater than 0.95 and stable RR-interval, based on data from 12 fetuses (<span><math><msup><mrow><mn>38</mn></mrow><mrow><mi>t</mi><mi>h</mi></mrow></msup></math></span> - <span><math><msup><mrow><mn>42</mn></mrow><mrow><mi>n</mi><mi>d</mi></mrow></msup></math></span> weeks). We have implemented a combination between quaternion algebra and principal component analysis (Q-PCA method) to determine the onset and end of FECG waves by analyzing the angular velocity of the heart electrical vector. To validate our findings, we compared them with measurements obtained from the direct fetal electrocardiogram (DFECG), as a benchmark. <strong>Results:</strong> The values calculated by the Q-PCA method, as well as their correlation and the p-value in relation to the DFECG, were as follows: <em>PR</em> interval: <span><math><mn>125.1</mn><mo>±</mo><mn>19.8</mn></math></span> ms (<span><math><mi>ρ</mi><mo>=</mo><mn>0.97</mn></math></span>, p<span><math><mo>&lt;</mo><mn>2.39</mn><mi>e</mi><mo>−</mo><mn>7</mn></math></span>), <em>QRS</em> complex: <span><math><mn>73.0</mn><mo>±</mo><mn>4.4</mn></math></span> ms (<span><math><mi>ρ</mi><mo>=</mo><mn>0.67</mn></math></span>, p<span><math><mo>&lt;</mo><mn>1.74</mn><mi>e</mi><mo>−</mo><mn>2</mn></math></span>), <em>QT</em> interval: <span><math><mn>261.1</mn><mo>±</mo><mn>28.5</mn></math></span> ms (<span><math><mi>ρ</mi><mo>=</mo><mn>0.84</mn></math></span>, p<span><math><mo>&lt;</mo><mn>7.05</mn><mi>e</mi><mo>−</mo><mn>4</mn></math></span>) and <em>QTc</em> interval: <span><math><mn>388.3</mn><mo>±</mo><mn>35.9</mn></math></span> ms (<span><math><mi>ρ</mi><mo>=</mo><mn>0.79</mn></math></span>, p<span><math><mo>&lt;</mo><mn>2.27</mn><mi>e</mi><mo>−</mo><mn>3</mn></math></span>). <strong>Conclusion:</strong> Given its importance and the measurement performance achieved, the methodology presented represents a significant potential tool for improving the diagnosis of fetal health.</div></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"46 3","pages":"Article 100886"},"PeriodicalIF":5.6,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Objective Assessment of Pull Test Scores in Parkinson's Disease Under Dynamic Conditions","authors":"Marta Cardoso ,&nbsp;Cristiana Pinheiro ,&nbsp;Helena R. Gonçalves ,&nbsp;Ana Margarida Rodrigues ,&nbsp;Cristina P. Santos","doi":"10.1016/j.irbm.2025.100884","DOIUrl":"10.1016/j.irbm.2025.100884","url":null,"abstract":"<div><h3>Background</h3><div>Postural instability is considered one of the most incapacitating motor symptoms and a primary cause of falls in Parkinson's disease (PD), compromising patients' autonomy and well-being. The traditional clinical examination used to evaluate this symptom designed by pull test is difficult to standardize and is not sensitive to subtle but significant postural changes. Inertial measurement units have emerged as a portable and cost-effective solution to measure on-body patients' postural sway allowing them to obtain more sensitive metrics able to capture postural instability. However, further studies are required to monitor patients' postural conditions under dynamic conditions.</div></div><div><h3>Methods</h3><div>The proposed research focused on investigating the hypothesis of whether it is possible to differentiate between all the scores of the pull test through postural and gait metrics extracted from raw acceleration and angular velocity signals from the centre of mass of patients with PD acquired while performing basic daily tasks. A new cross-sectional study was conducted with 23 patients to determine which gait and postural-associated metrics are considered significant to distinguish between the different levels of pull test, and which metrics are more correlated with the pull test score.</div></div><div><h3>Results</h3><div>Achieved results showed that most of the estimated metrics can differentiate the pull test scores (<span><math><mi>ρ</mi><mtext>-value</mtext><mo>≤</mo><mn>0.048</mn></math></span>, R<span><math><mmultiscripts><mrow><mo>≥</mo></mrow><mprescripts></mprescripts><none></none><mrow><mn>2</mn></mrow></mmultiscripts><mn>0.513</mn></math></span>). The duration of the activity, root-mean-square and range of motion of vertical and mediolateral angular velocity, as also most of the gait-associated metrics, presented the most significant differences in all trials which involved motion tasks, such as sitting, lying, walking and turning.</div></div><div><h3>Conclusions:</h3><div>Overall, promising results were achieved as the statistical analysis revealed that gait and postural metrics estimated under dynamic conditions were considered relevant to distinguish between the scores of the pull test.</div></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"46 2","pages":"Article 100884"},"PeriodicalIF":5.6,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unlocking Cognitive Potential: Exploring a Virtual Environment for Cognitive Training in Healthy Aging and Mild Cognitive Impairment","authors":"Pierre-Alexandre Andrieu-Devilly ,&nbsp;Marc Gandit ,&nbsp;Didier Schwab ,&nbsp;Lisa Quillion-Dupré ,&nbsp;Emmanuel Monfort","doi":"10.1016/j.irbm.2025.100885","DOIUrl":"10.1016/j.irbm.2025.100885","url":null,"abstract":"<div><h3>Objective</h3><div>This study aims to investigate how cognitive impairment and social presence influence goal attainment in an ecological virtual environment. It also examines the role of interactive features in improving computer-assisted cognitive training for older adults, both with and without mild cognitive impairment (MCI).</div></div><div><h3>Materials and Methods</h3><div>A virtual supermarket was used to simulate a realistic exploration task, incorporating social interactions and adaptive assistance strategies. Error analysis was conducted to identify performance patterns linked to cognitive profiles.</div></div><div><h3>Results</h3><div>Participants with MCI exhibited a significantly higher frequency of wandering and uncorrected orientation errors, compared to cognitively healthy older adults. While verbal support was beneficial in facilitating virtual task progress, it did not fully mitigate performance deficits in those with MCI. Additionally, all older participants, regardless of cognitive status, reported significantly lower perceptions of social presence compared to younger participants.</div></div><div><h3>Conclusion</h3><div>Virtual environments constitute a promising tool for the assessment and enhancement of functional abilities in older adults with neurocognitive impairments. The integration of tailored cognitive training protocols and adaptive support strategies holds potential to optimize cognitive stimulation and task performance.</div></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"46 2","pages":"Article 100885"},"PeriodicalIF":5.6,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143654836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}