Irbm最新文献

{"title":"Complete 3D Kinematics Parameters of the Temporo-Mandibular Joints Using in Vivo Data Fusion","authors":"Gaël Bescond , Michèle Gales , Régine Glineur , Viktor Sholukha , Stéphane Louryan , Serge Van Sint Jan","doi":"10.1016/j.irbm.2023.100804","DOIUrl":"https://doi.org/10.1016/j.irbm.2023.100804","url":null,"abstract":"<div><h3>Objectives</h3><p><span><span>The temporo-mandibular joint (TMJ) has implications in vital functions and its disorder prevalence is between 5% and 12%. The </span>mandible motions rely on two joints where mandibular condyles are generally asymmetric and highly individual. They rotate during jaw opening and closing and translate vertically and anteroposteriorly. Quantitative motion analysis tools are of interest to better understand normal and abnormal </span>TMJ behavior. Previous studies have reported the asymmetrical behavior of the mandible compared to the skull as well as the synchronism of rotation and translation during its motions. But none of them has developed an experimental protocol using in vivo motion data fused with a tridimensional (3D) model. Therefore, we aim to provide the detailed kinematic parameters of the mandible compared to the skull, of the 2 condyles compared to their sockets and the instantaneous helicoidal axis (IHA) calculation through a clearly described new technology: in vivo data motion fused with virtual palpation on 3D models. We also compare the accuracy and the consistency of our results with the existing literature.</p></div><div><h3>Material and methods</h3><p>Five healthy subjects fitted with a tailor-made dental and head clusters performed mouth opening/closing, diduction and chewing motions. 15 anatomical landmarks (ALs) were palpated on their skull and their mandible. The trajectory of the markers and ALs was recorded by opto-electronic cameras. 3D models created from magnetic resonance imaging (MRI) from the 5 subjects were processed through a segmentation procedure and imported into a musculo-skeletal data processing software. Virtual palpation was used to locate specific ALs and to build coordinate systems following the ISB recommendations. The ALs coordinates, the motion files and the morphological model were fused. Motion cycles were normalized from 1 to 100% of rotations and translations duration in coordinate systems, instantaneous helical axis (IHA) parameters were computed for the 3 motions.</p></div><div><h3>Results</h3><p>Median RMSE between manually and virtually palpated ALs was 8,0 mm.</p><p>During opening motion, rotation around the Z-axis (median 24,9°), translations along the X-axis and the Y-axis (median 9,7 mm and 6,3 mm respectively) were happening all at once. The IHA was obliquely orientated.</p><p>During diduction motion, rotations around the Y-axis and the X-axis (median 10,7° and 3.3° respectively), translation on the Z-axis is (median −9.4 mm) occurred simultaneously. The IHA orientation was oblique and changed accordingly to the diduction side.</p><p>During chewing motion, median rotation around the Z-axis was −2.2° and median translation on the Y-axis −1.0 mm. The IHA pathway high asymmetry coincided with typical movements of working and balancing condyles.</p></div><div><h3>Conclusion</h3><p>Complete 3D kinematics parameters of the TMJs, corresponding to the ISB reco","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"44 6","pages":"Article 100804"},"PeriodicalIF":4.8,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49728920","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":"Classification of Moderate and Advanced Alzheimer's Patients Using Radial Basis Function Based Neural Networks Initialized with Fuzzy Logic","authors":"Carlos Roncero Parra ,&nbsp;Alfonso Parreño Torres ,&nbsp;Jorge Mateo Sotos ,&nbsp;Alejandro L. Borja","doi":"10.1016/j.irbm.2023.100795","DOIUrl":"https://doi.org/10.1016/j.irbm.2023.100795","url":null,"abstract":"<div><h3>Background</h3><p>Alzheimer's disease can be diagnosed through various clinical methods. Among them, electroencephalography has proven to be a powerful, non-invasive, affordable, and painless tool for its diagnosis.</p></div><div><h3>Objectives</h3><p><span>In this study, eight machine learning (ML) approaches, including SVM<span>, BLDA<span>, DT, GNB, KNN, RF, and deep learning (DL) methods such as </span></span></span>RNN<span> and RBF, were employed to classify Alzheimer's disease into two stages: moderate Alzheimer's disease (ADM) and advanced Alzheimer's disease (ADA).</span></p></div><div><h3>Material and methods</h3><p>To this aim, electroencephalography data collected from five different hospitals over a decade has been used. A novel method based on neural networks has been proposed to increase accuracy and obtain fast classification times.</p></div><div><h3>Results</h3><p>Results show that deep neuronal networks based on radial basis functions initialized with fuzzy means achieved the best balanced accuracy with 96.66% accuracy in ADA classification and 93.31% accuracy in ADM classification.</p></div><div><h3>Conclusion</h3><p>Apart from improving accuracy, it is noteworthy that this algorithm had never been used before to classify patients with Alzheimer's disease.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"44 5","pages":"Article 100795"},"PeriodicalIF":4.8,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49704792","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":"New Design to Provide Absolute Protection Within a Certain Period for Biodegradable Magnesium Alloys","authors":"Jian-Hua Zhu ,&nbsp;Xinzhe Gao ,&nbsp;Biying Shi ,&nbsp;Jiawei Zou ,&nbsp;Yu Ru Li ,&nbsp;Ke Zeng ,&nbsp;Qi Jia ,&nbsp;Heng Bo Jiang","doi":"10.1016/j.irbm.2023.100784","DOIUrl":"https://doi.org/10.1016/j.irbm.2023.100784","url":null,"abstract":"<div><h3>Objectives</h3><p><span>Magnesium and magnesium alloy materials have excellent potential as biodegradable bone plate </span>implants<span>. However, the practical application of magnesium alloys is limited by their high chemical activity and poor corrosion resistance<span><span>. Here, we chose a microarc fluorination (MAF) treatment to </span>improve corrosion resistance while enhancing aspects of magnesium alloy properties. The aim of this study was to identify the effect of fixed-point corrosion on the corrosion resistance as well as the mechanical properties of magnesium alloys and to design a new corrosion-oriented model that can provide absolute protection over a period of time.</span></span></p></div><div><h3>Material and Methods</h3><p><span>MAF treatment is used for surface modification of magnesium alloys to improve the corrosion resistance of magnesium alloys. To investigate the effect of the coating and indentation on the corrosion resistance of Mg alloy, electrochemical corrosion experiments were carried out. It is worth mentioning that in this experiment we measured and analyzed the mechanical properties of the samples, especially the </span>tensile strength.</p></div><div><h3>Results</h3><p>In the innovative indentation sample test, the coated specimens showed lower tensile strength due to the occurrence of fixed-point corrosion. To avoid the loss of mechanical properties due to fixed-point corrosion, we proposed a new idea (Corrosion-oriented Design). Ultimately, the immersion experiments as well as the mechanical properties analysis concluded that the Corrosion-oriented Design samples could maintain the mechanical properties without detectable loss for a long time.</p></div><div><h3>Conclusion</h3><p>The Corrosion-oriented Design model can avoid the nuisance of fixed-point corrosion and control the centralized orientation of corrosion. This provides a new direction for the clinical application of magnesium alloys, which may offer a completely stable bone-healing condition in trauma treatment and avoid the drawbacks caused by the previous uncontrolled corrosion.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"44 5","pages":"Article 100784"},"PeriodicalIF":4.8,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49704843","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":"Opioid Overdose Detection in a Murine Model Using a Custom-Designed Photoplethysmography Device","authors":"Orlando S. Hoilett ,&nbsp;Jason D. Ummel ,&nbsp;Luke E. Schepers ,&nbsp;Arvin H. Soepriatna ,&nbsp;Jessica L. Ma ,&nbsp;Akio K. Fujita ,&nbsp;Alyson S. Pickering ,&nbsp;Benjamin D. Walters ,&nbsp;Craig J. Goergen ,&nbsp;Jacqueline C. Linnes","doi":"10.1016/j.irbm.2023.100792","DOIUrl":"https://doi.org/10.1016/j.irbm.2023.100792","url":null,"abstract":"<div><h3>Background and Objective</h3><p><span>Over 68,000 opioid-overdose related deaths occurred within the United States in 2020 alone, indicating a need to develop technologies to help curb this growing epidemic. The ability to detect respiratory rate (RR) depression in real-time has the potential to decrease adverse outcomes<span> by alerting emergency medical services or willing bystanders to an overdose event. The aim of this investigation was to design, build, and test a novel </span></span>photoplethysmography<span> (PPG)-based measurement device capable of monitoring RR and identifying respiratory depression.</span></p></div><div><h3>Materials and Methods</h3><p><span>We developed a novel murine model for opioid-induced respiratory depression (OIRD) to demonstrate the PPG device's capabilities. We induced respiratory depression in mice using both isoflurane and opioid-overdose and initiated recovery events with injections of </span>naloxone while monitoring respiration via PPG and a laboratory reference system.</p></div><div><h3>Results and Discussion</h3><p>The device accurately identified all anesthesia-induced respiratory depression (n = 5) and OIRD events (n = 3). Our PPG-based monitor showed significant correlation with a reference respiratory measurement system (<span><math><mi>p</mi><mo>&lt;</mo><mn>0.01</mn></math></span><span><span>). The bias measured across the isoflurane trials was 0.6 breaths per minute (BrPM), while the bias measured across the oxycodone trials was −1.0 BrPM, with </span>mean absolute errors of 1.5 and 3.6 BrPM, respectively, indicating that our device was able to accurately measure RR in a murine model.</span></p></div><div><h3>Conclusions</h3><p>These preliminary experiments suggest that our device could detect OIRD and could potentially be adaptable to humans with modifications to firmware and more extensive validation in human subjects. Our present study is a proof-of-concept for detecting OIRD and alerting bystanders and health professionals in real-time.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"44 5","pages":"Article 100792"},"PeriodicalIF":4.8,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49704809","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":"Focused Ultrasound for Brain Diseases: A Review of Current Applications and Future Perspectives","authors":"Matteo Gionso ,&nbsp;Luca Raspagliesi ,&nbsp;Lorenzo Yuan ,&nbsp;Massimiliano Del Bene ,&nbsp;Nicoletta Corradino ,&nbsp;Riccardo Ciocca ,&nbsp;Edoardo Porto ,&nbsp;Antonio D'Ammando ,&nbsp;Giovanni Durando ,&nbsp;Francesco Di Meco ,&nbsp;Francesco Prada","doi":"10.1016/j.irbm.2023.100790","DOIUrl":"https://doi.org/10.1016/j.irbm.2023.100790","url":null,"abstract":"<div><p><span>Neurosurgical procedures heavily rely on technological innovation to improve patients care. Focused Ultrasound (FUS) represents a novel and ever-growing technology with roots dating back to the 19</span>^th<span> century. Now surrounded by state-of-the-art equipment, such as MRI guidance, thermometry, neuronavigation<span><span> guidance, artificial acoustic windows and implantable devices, FUS employs mechanical waves to deliver a wide spectrum of physical effects, in a non-invasive and precise fashion. Even if most of its applications are nowadays mostly experimental or at the very initial steps into clinical practice, FUS has seen its tools being used in a growing number of </span>diseases<span> and applications, ranging from oncology to cerebrovascular, functional disorders and even neuro- and immune-modulation. This general review aims to provide a comprehensive vision of FUS application for neurological conditions.</span></span></span></p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"44 5","pages":"Article 100790"},"PeriodicalIF":4.8,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49709458","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 EHR Data Quality Evaluation Approach Based on Medical Knowledge and Text Matching","authors":"Nanya Chen,&nbsp;Jiangtao Ren","doi":"10.1016/j.irbm.2023.100782","DOIUrl":"https://doi.org/10.1016/j.irbm.2023.100782","url":null,"abstract":"<div><p><em>Introduction</em><span><span>: Recently, medical artificial intelligence based on Electronic Health Records (EHR) is a significant research field, and EHR data has been widely used in </span>clinical decision support systems and medical diagnosis systems. However, because EHR are used to record the patient's disease information and are not primarily designed for research and discovery, the utility of EHR for research will be hindered by data quality problems. Therefore, it is a meaningful and challenging task to evaluate the data quality of EHR before they are used in medical artificial intelligence. Most of the current EHR data quality evaluation methods are based on some conventional evaluation indicators, and rarely consider the introduction of clinical evidence.</span></p><p><em>Materials and methods</em>: we propose an EHR data quality evaluation approach based on clinical evidence and a deep text matching model. First, based on the medical knowledge of the particular disease, we establish the list of standard clinical evidence descriptions including typical symptoms and special signs, etc. Then we find the relevant clinical evidence from the EHR based on the text matching model, and finally evaluate the quality of the EHR based on the quantity and quality of the relevant clinical evidence found.</p><p><em>Results</em><span>: The experimental results of more than 1,000 EHR for two types of diseases show that our approach can effectively distinguish high-quality EHR from low-quality EHR, and the high-quality EHR found generally contains sufficient and consistent information related to disease diagnosis.</span></p><p><em>Conclusions</em>: Experiments results on a real-world dataset demonstrate the effectiveness of our EHR data quality evaluation approach based on medical knowledge and text matching.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"44 5","pages":"Article 100782"},"PeriodicalIF":4.8,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49704913","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":"Biomechanical Comparison of the Influence of Osteoporosis on the Lumbar Spine After Lumbar Interbody Fusion Surgery or Non-fusion Dynamic Stabilization Surgery Under Whole Body Vibration","authors":"Wei Fan ,&nbsp;Chi Zhang ,&nbsp;Dong-Xiang Zhang ,&nbsp;Qing-Dong Wang ,&nbsp;Li-Xin Guo","doi":"10.1016/j.irbm.2023.100797","DOIUrl":"https://doi.org/10.1016/j.irbm.2023.100797","url":null,"abstract":"<div><h3>Objective</h3><p><span>The objective of this study was to determine and compare the influence of osteoporosis on </span>biomechanics<span><span> of the spine after lumbar interbody fusion (LIF) surgery or non-fusion dynamic stabilization (NFDS) surgery under whole </span>body vibration (WBV) which is typically present in moving vehicles.</span></p></div><div><h3>Methods</h3><p>Based on a previously validated finite element (FE) model of normal human lumbosacral spine<span>, four surgical models including LIF, LIF with osteoporosis (LIF-OST), NFDS, and NFDS with osteoporosis (NFDS-OST) were constructed. Biomechanical responses of the surgical models to an axial cyclic load<span> were calculated using transient dynamic analysis<span>. Response parameters include vibration amplitudes of the endplate stress and screw stress at surgical L4–L5 level, vibration amplitudes of the disc bulge and intradiscal pressure at adjacent L3–L4 level.</span></span></span></p></div><div><h3>Results</h3><p>Osteoporosis increased vibration amplitudes of all these investigated response parameters. Further, we found that vibration amplitudes of the endplate stress and screw stress for the LIF-OST model were significantly higher than those for the NFDS-OST model, but there was very small difference in vibration amplitudes of the disc bulge and intradiscal pressure between the LIF-OST and NFDS-OST models.</p></div><div><h3>Conclusions</h3><p>For both the LIF and NFDS surgeries, osteoporosis might increase the risk for implant failure and accelerate adjacent segment degeneration (ASD) under WBV. When osteoporosis occurs, LIF might be associated with a higher likelihood of implant failure at the surgical level compared with NFDS, and the surgical approach (LIF or NFDS) might have little influence on biomechanics of the adjacent level.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"44 5","pages":"Article 100797"},"PeriodicalIF":4.8,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49704769","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":"IDEALI: Intuitively Localising Connected Devices in Order to Support Autonomy","authors":"Réjane Dalcé ,&nbsp;Antonio Serpa ,&nbsp;Thierry Val ,&nbsp;Adrien van den Bossche ,&nbsp;Frédéric Vella ,&nbsp;Nadine Vigouroux","doi":"10.1016/j.irbm.2023.100779","DOIUrl":"https://doi.org/10.1016/j.irbm.2023.100779","url":null,"abstract":"<div><p>Localisation-capable technologies are becoming more readily available as off-the-shelf components. In this paper, we highlight the need for such a service in the field of health and autonomy, especially for disabled people. We then explore this idea through a study that leverages this localisation functionality.</p><p>We introduce a model for Semantic Position Description (SPD) (“The pill organiser in on the kitchen table”) as well as various algorithms that transform raw distance estimations to SPD related to proximity, alignment and room identification.</p><p>Two measurement campaigns have been conducted. The first one focused on algorithm performance and exploited the LocURa4IoT testbed. The second confronted the system's output (SPDs) to real user perception in a smart-home environment. This experiment involved ten human participants in the Maison Intelligente de Blagnac. The results indicate that both processes (human and machine perception) converge 90% of the time. This convergence confirms the relevance of our locaisation-based approach and encourages future explorations of its application to various domains.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"44 5","pages":"Article 100779"},"PeriodicalIF":4.8,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49704729","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":"Efficient Heart Disease Prediction Using Hybrid Deep Learning Classification Models","authors":"Vaishali Baviskar ,&nbsp;Madhushi Verma ,&nbsp;Pradeep Chatterjee ,&nbsp;Gaurav Singal","doi":"10.1016/j.irbm.2023.100786","DOIUrl":"https://doi.org/10.1016/j.irbm.2023.100786","url":null,"abstract":"<div><p><strong>INTRODUCTION:</strong><span> Heart disease (HD) has been identified as one of the deadly diseases, which affects the human beings of all ages worldwide. In such a scenario, Data Mining (DM) techniques have been found to be efficient in the analysis and the prediction of the phases of HD complications while handling larger patient datasets'. This dataset would consist of irrelevant and redundant features as well. These features would further impact the accuracy and the speed of data processing during the classification process.</span></p><p><strong>OBJECTIVES:</strong><span><span> Hence, the feature selection techniques are required for removing the redundant features from the dataset. Therefore, in this study, feature selection techniques like genetic algorithm, </span>particle swarm optimization and African buffalo algorithm have been implemented.</span></p><p><strong>METHODS:</strong><span> To further enhance this process, a newly developed GSA (Genetic Sine Algorithm) is proposed as it is capable of selecting optimal features and avoid getting trapped in local optima. The selected features are subjected to the classification technique by RNN (Recurrent Neural Network) integrated with LSTM (Long Short Term Memory) algorithm. To filter out all the invalid informations and emphasize only on critical information, DPA-RNN+LSTM (Deep Progressive Attention-RNN+LSTM) has been developed so as to improve the classification rate.</span></p><p><strong>RESULTS:</strong> The proposed results have been supported by the performance and comparative analysis performed on two benchmark datasets namely heart disease diagnosis UCI dataset and heart failure clinical dataset. Further, statistical analysis in terms of Mann-Whitney U-test, Pearson Correlation co-efficient, Friedman rank and Iman-Davenport significant values has been evaluated.</p><p><strong>CONCLUSION:</strong> The obtained results show that the proposed system is comparatively more efficient for heart disease diagnosis than other conventional techniques.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"44 5","pages":"Article 100786"},"PeriodicalIF":4.8,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49704731","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":"Intracranial Compliance, Resistance to CSF-Outflow, and Pressure-Volume Index in Hydrocephalus Patients: A Systematic Review and Meta-Analysis","authors":"Seifollah Gholampour ,&nbsp;Amber Nguyen ,&nbsp;Saad Chaudry","doi":"10.1016/j.irbm.2023.100785","DOIUrl":"https://doi.org/10.1016/j.irbm.2023.100785","url":null,"abstract":"<div><h3>Objectives</h3><p><span>How changes in intracranial compliance (ICC), resistance to cerebrospinal fluid (CSF)-outflow (R</span>_out<span><span>), and pressure-volume index (PVI) can play a prominent role in clarifying the complexities in the biomechanism and treatment outcomes of </span>hydrocephalus. This study aims to provide a comprehensive review to find the correlation between ICC, R</span>_out<span>, and PVI with intracranial pressure<span> (ICP) characteristics, as well as morphometric parameters, in hydrocephalus patients.</span></span></p></div><div><h3>Material and methods</h3><p>Electronic searches were conducted using the PubMed/MEDLINE, Scopus, Google Scholar, Ovid, Cochrane, and EMBASE databases from their dates of inception to December 2022 using filters for English-language articles. The article selection and data collection were conducted in accordance with PRISMA<span> guidelines and recommendations. We assigned a quality score for each study to evaluate the information and selection bias. The certainty of the pooled data for all articles was assessed based on GRADE criteria. The Funnel plot asymmetry study was used to evaluate publication bias.</span></p></div><div><h3>Results</h3><p>The overall pre-treatment ICC, R_out, and PVI were 0.45 ml/mmHg (95% CI, 0.33-0.57; I²=99.7%; P&lt;0.001), 14.93 mmHg/(ml/min) (95% CI, 13.65-16.21; I²= 99.7%; P&lt;0.001) and 19.26 ml (95% CI, 15.63-22.89; I²=98.7%; P&lt;0.001), respectively. The pooled R_out<span><span> was observed to be higher in adult hydrocephalus compared to pediatric hydrocephalus, whereas the opposite trend was found for PVI. Patients with </span>normal pressure hydrocephalus (NPH) exhibited a higher pooled R</span>_out<span> compared to communicating hydrocephalus. Patients with unimproved outcomes demonstrated a decrease in the effect size of the pooled R</span>_out. The results also showed significant correlations were observed between all ICP characteristics and both the ICC and R_out. The correlation between ICC and the ventricular score was significant. R_out had a significant correlation with the third ventricle index. PVI had significant correlations with Evan's ratio, inverse cella media, and ventricular score.</p></div><div><h3>Conclusion</h3><p>The results indicate the possible reason for publication bias in some subgroups may be related to methodological heterogeneity in the measurement of pressure-volume parameters. This finding motivates researchers to investigate the effects of different invasive and non-invasive methods on the measurement results of ICC, R_out, and PVI.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"44 5","pages":"Article 100785"},"PeriodicalIF":4.8,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49704794","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}