Journal of clinical engineering最新文献_第8页

Evaluation of Lumbar Spine Morphology in Magnetic Resonance Images Using Cobb's Method Cobb方法评价磁共振图像中腰椎形态

Journal of clinical engineering Pub Date : 2023-04-01 DOI: 10.1097/JCE.0000000000000583

H. Elnour

{"title":"Evaluation of Lumbar Spine Morphology in Magnetic Resonance Images Using Cobb's Method","authors":"H. Elnour","doi":"10.1097/JCE.0000000000000583","DOIUrl":"https://doi.org/10.1097/JCE.0000000000000583","url":null,"abstract":"Lumbar lordosis represents one of the most prevalent postural disorders; it is classified as significant lumbar curving in the vertebral column's sagittal plane. The study's aims were to investigate lumbar spine morphology in Sudanese patients using Cobb's approach, as well as magnetic resonance imaging sagittal T2-weighted images. It was carried out between August 2015 and August 2016 in Khartoum Sudan's Advanced Diagnostic Center and Baraha Medical City hospital, with 140 patients (55 male and 85 female patients). The controlled cases involved in this study consisted of 40 patients (10 male and 30 female patients), ranging in age from 13 to 90 years. The results revealed substantial variation between the population having normal health and disc herniated patients in the Cobb angle (P = .000) and intervertebral disc space of L3 (P = .011), but no substantial improvement (P > .05) between individuals with abnormal values and control individuals in the lumbosacral angle, L1-L5 body vertebrae, and L1, L2, L4, and L5 intervertebral disc levels. In addition, there was a notable change among the LS and Cobb angles in the patients with abnormal values (P = .045), but not in the control individuals (P = .691). We discovered a straight linear correlation among the Cobb angle and vertebral body L5-L2 in patients with bulged disc at various levels, as well as the Cobb angle and the L5-L2 intervertebral disc spaces also exhibit an indirect linear connection. It is concluded that magnetic resonance imaging is good for diagnosing disease associated with soft tissues, particularly the spinal discs that are frequently affected and cause low back problems.","PeriodicalId":77198,"journal":{"name":"Journal of clinical engineering","volume":"48 1","pages":"61 - 75"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41451695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ACCE News 访问消息

Journal of clinical engineering Pub Date : 2023-04-01 DOI: 10.1097/jce.0000000000000586

引用次数: 0

Automatic Detection of Benign Brain Tumors Using Statistical Analysis 基于统计分析的良性脑肿瘤自动检测

Journal of clinical engineering Pub Date : 2023-04-01 DOI: 10.1097/JCE.0000000000000575

N. M. Ali, Omnia M. ElZubair, A. Hamza, H. Elnour, Mohamed O. Khider

{"title":"Automatic Detection of Benign Brain Tumors Using Statistical Analysis","authors":"N. M. Ali, Omnia M. ElZubair, A. Hamza, H. Elnour, Mohamed O. Khider","doi":"10.1097/JCE.0000000000000575","DOIUrl":"https://doi.org/10.1097/JCE.0000000000000575","url":null,"abstract":"Tumor is an uncontrolled growth of harmful cells within the skull that raises intracranial pressure. In the field of medical research, medical picture classification is critical. Imaging plays a crucial role in the diagnosis of brain tumors. Magnetic resonance imaging is a noninvasive, 3-dimensional imaging technique that produces high-quality images. The interpretation of an image might not be completely precise and require the assistance of a second opinion, variability in diagnosis made by different doctors and even by the same doctor under different circumstances due to job load, observation accuracy for the physician, picture clarity, noise, or the physician's vision or mood. Based on the previously mentioned reasons, we have developed a computer-aided diagnosis system to aid in the identification or detection of benign tumor in brain magnetic resonance imaging scans. In the first stage of this study, image enhancement and correct segmentation processes have been conducted into the images in order to facilitate the system to give an accurate classification of brain tumor type. In the second stage, we investigated several statistical features using a technique called gray-level co-occurrence matrix. The implementation of this technique was done with software called MATLAB (Matrix Laboratory) to determine the best features for diagnosing benign tumors of the brain. Gray-level co-occurrence matrix is second-order statistical analysis that describes spatial relationships and the information about the pixel position that has a similar gray-level value; we have found that some features have a big cutoff range between normal and abnormal tissues. Classification was done using back-propagation artificial neural network. The detection findings and quantitative data analysis show that our suggested system is effective, with a detection accuracy of 99.8%.","PeriodicalId":77198,"journal":{"name":"Journal of clinical engineering","volume":"48 1","pages":"55 - 60"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46654273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and Approval of a Master's Program in Clinical Engineering at Miami University 迈阿密大学临床工程硕士项目的开发和批准

Journal of clinical engineering Pub Date : 2023-04-01 DOI: 10.1097/jce.0000000000000582

L. Kerr, S. Lalvani

引用次数: 0

FDA Classifies Prognostic Test for Assessing Liver-Related Disease 美国食品药品监督管理局对评估肝脏相关疾病的预后测试进行分类

Journal of clinical engineering Pub Date : 2023-04-01 DOI: 10.1097/jce.0000000000000574

J. Geller

引用次数: 0

Medical Device Recalls for Electronic Components 电子元件医疗器械召回

Journal of clinical engineering Pub Date : 2023-04-01 DOI: 10.1097/JCE.0000000000000584

F. Block, Ross J. Mackey

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Two New Partnerships for International Healthcare Technology Management 国际医疗保健技术管理的两个新伙伴关系

Journal of clinical engineering Pub Date : 2023-04-01 DOI: 10.1097/jce.0000000000000576

引用次数: 0

Does Anyone Really Follow Manufacturer Recommendations for Maintenance? 有人真的遵循制造商的维护建议吗？

Journal of clinical engineering Pub Date : 2023-01-01 DOI: 10.1097/jce.0000000000000562

O. Keil

引用次数: 0

Food and Drug Administration Published Final Guidance on Clinical Decision Support Software 美国食品药品监督管理局发布临床决策支持软件最终指南

Journal of clinical engineering Pub Date : 2023-01-01 DOI: 10.1097/jce.0000000000000567

J. Geller

引用次数: 1

Food and Drug Administration: Transvaginal Mesh Study Reveals Continuing Risk 美国食品和药物管理局:经阴道网状物研究揭示持续风险

Journal of clinical engineering Pub Date : 2023-01-01 DOI: 10.1097/jce.0000000000000568

引用次数: 0