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Electrocardiography signal processing method for effective assessment of a patient's heart rate using a convolutional neural network 利用卷积神经网络有效评估患者心率的心电图信号处理方法
Pub Date : 2024-07-03 DOI: 10.17816/dd627084
Daniel V. Gordienko, Artem O. Kravchenko
BACKGROUND: The initial step in annotating an electrocardiogram is the evaluation of the patient's heart rhythm. In the presented study, a method has been developed to process the electrocardiographic signal and estimate the heart rhythm. The method is based on the application of a trained convolutional neural network, which will provide the physician with preliminary information about possible atrial fibrillation or the presence of other rhythm disturbances as soon as possible after receiving the electrocardiogram. Furthermore, such methodologies can be incorporated into telemedicine systems, thereby facilitating remote monitoring of cardiac status. AIM: The aim of the study was to develop an electrocardiography signal processing method for the classification of a patient’s heart rhythm into three classes: sinus rhythm, atrial fibrillation, and other arrhythmias. MATERIALS AND METHODS: The publicly available electrocardiograms of patients were selected for model training and testing. The software was written in the Python programming language using the TensorFlow framework. The training, validation, and test samples were formed with a ratio of 10:1:1:1, with a uniform distribution by classes. Three variants of data sets for each record were prepared: combining plots of all 12 leads of the electrocardiogram on one image, obtaining spectrograms of II and V1 leads using Gaussian wavelet, and representing the record as a vector cardiogram. The architecture of the convolutional neural network was based on the ResNet18 architecture, which was further modified, and a series of modifications were made for each of the input data representations. RESULTS: A serialized model was obtained with the following accuracy metrics: accuracy=43% for matching 12 electrocardiographic leads in the image; accuracy=43% for vector representation of the electrocardiogram; and accuracy=69% for wavelet transform of the electrocardiogram. In the case of a two-class problem involving sinus rhythm and atrial fibrillation, the accuracy metric for the wavelet transform reaches 93% with metrics recall, precision, and F1-score values of 93%, 94%, and 93%, respectively. CONSLUSIONS: The results demonstrate the potential of using convolutional neural networks to assess the heart rhythm of patients. Further development of the project involves the selection of the most effective machine learning algorithm, testing of this algorithm for the two-class problem, and expansion of the solution for other classes of rhythm disorders. Additionally, it is possible to improve classification results for the three-class problem by using a superior model and introducing additional clustering.
背景:标注心电图的第一步是评估病人的心律。在本研究中,开发了一种处理心电信号和估计心律的方法。该方法基于应用训练有素的卷积神经网络,可在收到心电图后尽快为医生提供有关可能的心房颤动或存在其他心律紊乱的初步信息。此外,这种方法还可纳入远程医疗系统,从而促进对心脏状态的远程监控。目的:本研究旨在开发一种心电图信号处理方法,用于将患者的心律分为三类:窦性心律、心房颤动和其他心律失常。材料与方法:选取公开的患者心电图进行模型训练和测试。软件使用 Python 编程语言和 TensorFlow 框架编写。训练样本、验证样本和测试样本的比例为 10:1:1:1,按类别均匀分布。为每条记录准备了三种不同的数据集:将心电图的所有 12 个导联合并到一张图像上,使用高斯小波获取 II 和 V1 导联的频谱图,以及将记录表示为矢量心电图。卷积神经网络的架构以 ResNet18 架构为基础,并对其进行了进一步修改,还对每个输入数据表示进行了一系列修改。结果:得到的序列化模型的准确度指标如下:图像中 12 个心导联的匹配准确度=43%;心电图向量表示的准确度=43%;心电图小波变换的准确度=69%。在涉及窦性心律和心房颤动的两类问题中,小波变换的准确率达到 93%,召回率、精确率和 F1 分数分别为 93%、94% 和 93%。结论:研究结果证明了使用卷积神经网络评估患者心律的潜力。该项目的进一步发展包括选择最有效的机器学习算法,测试该算法对两类问题的处理效果,以及将解决方案扩展到其他类别的心律失常。此外,还可以通过使用高级模型和引入额外的聚类来改进三类问题的分类结果。
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引用次数: 0
Ultrasound assessment of structural changes in peripheral nerves of extremities after amputation in case of gunshot injury 对枪伤截肢后四肢末梢神经结构变化的超声评估
Pub Date : 2024-07-03 DOI: 10.17816/dd626173
Elmira A. Gumerova, Svetlana N. Dubrovskikh, Alena V. Tatarina, Yulia A. Stepanova, Anna D. Koryagina
BACKGROUND: Considering the large number of limb amputations in war-related gunshot wounds, early diagnosis of terminal neuromas is important to provide appropriate limb replacement. AIM: The aim of this study was to determine the feasibility of ultrasound in evaluating peripheral nerve endings and detecting terminal neuromas in patients after limb amputation due to gunshot trauma. MATERIALS AND METHODS: A total of 71 patients (men aged 20–57 years old) underwent ultrasound examination of 179 peripheral nerves. The examination was conducted according to standard technique using the ACUSON S2000 scanner (Siemens Healthineers, Germany) with a linear transducer with a frequency of 7–17 MHz, after setting the program of musculoskeletal examination. The cause of amputation was gunshot trauma. The duration of gunshot trauma ranged from 11 to 362 days, while the period between surgical intervention and the examination ranged from 11 to 340 days. The indication for the examination was pain in the limb stumps. RESULTS: A comprehensive examination of 179 peripheral nerves revealed 149 injured endings that were subjected to further evaluation. The distribution of lesion frequency revealed that the shoulder level was the most affected area in the upper extremities, while the thigh was the most affected area in the lower extremities. Notably, lesions on the left side were more prevalent in both cases. All observed changes in the endings were classified into three distinct groups: Group 1 (60%) comprised structural changes without signs of terminal neuroma. Group 2 (25%) consisted of structural changes with terminal neuroma. Group 3 (15%) included structural changes with potential (forming) terminal neuroma. In the absence of a terminal neuroma, ultrasound findings may include thickening of the nerve ending with preserved fascicular structure, decreased echogenicity, and increased vascularization of the nerve ending in color Doppler mapping. The ultrasound findings suggestive of a potential terminal neuroma include the following: the same and the presence of a globular hypoechogenic mass emanating from the nerve ending, the absence of differentiation into fasciculi in the mass, the latter not occupying the entire cross-sectional area of the nerve ending, and the mass being avascular on color Doppler mapping. The ultrasound findings of a formed terminal neuroma include the following: a club-shaped or globular hypoechogenic mass exceeding the cross-sectional area of the nerve proximally by 2 or more times, emanating from the nerve ending; absence of differentiation into fasciculi in the formation; the formation occupying the entire cross-sectional area of the nerve ending and being avascular in color Doppler mapping. The timing of terminal neuroma formation was observed to occur on average 109.9 days (14–362) after gunshot trauma and 98.2 days (14–340) after surgical intervention. The formation of terminal neuromas was observed on average 153.3 days (31–3
背景:考虑到与战争有关的枪伤导致大量肢体截肢,末端神经瘤的早期诊断对于提供适当的肢体置换非常重要。目的:本研究旨在确定超声波在评估因枪伤截肢患者的周围神经末梢和检测末端神经瘤方面的可行性。材料与方法:共有 71 名患者(男性,20-57 岁)接受了 179 条周围神经的超声波检查。检查按照标准技术进行,使用 ACUSON S2000 扫描仪(德国西门子 Healthineers 公司)和频率为 7-17 MHz 的线性换能器,并设置了肌肉骨骼检查程序。截肢的原因是枪伤。枪伤持续时间从 11 天到 362 天不等,手术治疗与检查之间的间隔时间从 11 天到 340 天不等。检查指征为肢体残端疼痛。结果:对 179 条周围神经进行全面检查后发现,有 149 条神经末梢受伤,需要进一步评估。病变频率分布显示,肩部是上肢受影响最严重的部位,而大腿则是下肢受影响最严重的部位。值得注意的是,两个病例的病变都以左侧居多。所有观察到的末梢变化可分为三个不同的组别:第 1 组(60%)为结构性变化,没有末端神经瘤的迹象。第 2 组(25%)包括伴有末端神经瘤的结构变化。第 3 组(15%)包括潜在(正在形成)末端神经瘤的结构变化。在没有末端神经瘤的情况下,超声检查结果可能包括神经末梢增粗,但保留了筋膜结构,回声减弱,以及彩色多普勒图中神经末梢血管增多。提示潜在末端神经瘤的超声波检查结果包括:同样存在一个从神经末梢发出的球状低回声肿块,肿块中没有分化成筋膜,筋膜没有占据神经末梢的整个横截面积,彩色多普勒图显示肿块无血管。已形成的末端神经瘤的超声检查结果包括:从神经末梢发出的棒状或球状低水肿肿块,其近端超过神经横截面积的 2 倍或 2 倍以上;肿块内没有分化成筋束;肿块占据神经末梢的整个横截面积,且在彩色多普勒图上显示为无血管肿块。据观察,末端神经瘤的形成时间平均为枪伤后 109.9 天(14-362 天)和手术干预后 98.2 天(14-340 天)。末端神经瘤的形成平均发生在枪伤后 153.3 天(31-341 天)和手术干预后 139.5 天(14-327 天)。结论:超声波检查是检测末端神经瘤的有效方法,末端神经瘤是造成枪伤截肢疼痛综合征的潜在原因。建议超声诊断末端神经瘤的时间不得早于手术治疗后 31 天,并进行动态超声监测。
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引用次数: 0
Advantages and disadvantages of the iCare tonometer: prospects for medical use iCare 眼压计的优缺点:医疗应用前景
Pub Date : 2024-07-03 DOI: 10.17816/dd627017
Mariya A. Telelyasova, Anastasiia O. Ukina
BACKGROUND: Ophthalmic tonometers are instruments used for the measurement of intraocular pressure in the diagnosis and monitoring of conditions in which the level of intraocular pressure deviates from the individual norm. One such tonometer is the iCare, which operates on the rebound principle [1]. A small rod is directed towards the cornea, the nature of its movement is analyzed, and the device calculates the intraocular pressure [1, 2]. The use of rebound technology for the advancement of a portable eye tonometer will facilitate the development of a convenient, accurate, and reliable device for the measurement of intraocular pressure. AIM: The aim of this study is to identify the principal advantages and disadvantages of the iCare ophthalmic tonometer, with a view to facilitating the further development of a Russian analogue. MATERIALS AND METHODS: The authors conducted a comprehensive literature review, searching for relevant publications in PubMed, Web of Science, Scopus, and eLibrary databases from 2005 to 2023. The search terms used were “rebound tonometry”, “iCare tonometry”, and “intraocular pressure”. A total of 17 scientific articles were analyzed. RESULTS: The main advantages of the iCare tonometer are highlighted: No patient discomfort due to minimal corneal contact time, no anesthesia required [1, 2]; The accuracy of the indicators measured by the iCare tonometer is comparable to the gold standard of intraocular pressure measurement, the Goldmann tonometer [3, 4, 6]; Portability and compactness of the tonometer, ability to measure pressure in a sitting or lying position [1, 2]; Intraocular pressure measurement takes little time [1, 16, 17]; The use of a disposable handpiece minimizes the risk of infectious disease transmission [16]; Possibility to measure intraocular pressure in eyes with various pathologies, such as glaucoma, keratoconus [9, 10], post-refractive surgery [11] and keratoplasty [8, 12, 13], vitreous cavity tamponade with silicone [14]; The iCare tonometer does not require regular maintenance and calibration, is easy to use, and can be used by other professionals and patients at home [16, 17]. Disadvantages include: High cost compared to other tonometers, requiring regular purchase of disposable probes [15, 17]; The limited use of the iCare tonometer in patients with corneal abnormalities, namely patients with an abnormal corneal resistance factor or corneal hysteresis [5, 7]. CONCLUSIONS: The iCare tonometer offers a number of advantages, including patient safety and comfort during the examination, accuracy, portability, quick results, and the ability to be used on healthy eyes as well as on eyes with various diseases or after surgery. However, it also has some limitations when used in certain clinical cases, as well as a high cost. Despite these limitations, the iCare tonometer remains a valuable tool for measuring intraocular pressure. Therefore, we propose to use the rebound technology employe
背景:眼压计是测量眼压的仪器,用于诊断和监测眼压水平偏离个人标准的情况。iCare 就是这样一种眼压计,它的工作原理是回弹原理[1]。将一根小棒对准角膜,分析其运动性质,然后计算眼压[1, 2]。利用回弹技术改进便携式眼压计将有助于开发一种方便、准确、可靠的眼压测量设备。目的:本研究旨在确定 iCare 眼压计的主要优缺点,以促进俄罗斯类似产品的进一步开发。材料与方法:作者进行了全面的文献综述,在 PubMed、Web of Science、Scopus 和 eLibrary 数据库中搜索了 2005 年至 2023 年的相关出版物。搜索关键词为 "反弹眼压计"、"iCare 眼压计 "和 "眼压"。共分析了 17 篇科学文章。结果:iCare 眼压计的主要优点如下 由于角膜接触时间极短,患者不会感到不适,无需麻醉[1, 2];iCare 眼压计测量指标的准确性可与眼压测量的黄金标准--戈德曼眼压计相媲美[3, 4, 6];眼压计携带方便,体积小巧,可在坐姿或卧姿下测量眼压[1, 2];眼压测量时间短[1, 16, 17];使用一次性手机可将传染病传播的风险降至最低[16];可测量各种病变眼的眼压,如青光眼、角膜炎[9, 10]、屈光手术后[11]和角膜移植术后[8, 12, 13]、玻璃体腔硅胶填塞[14];iCare 眼压计无需定期维护和校准,使用方便,其他专业人员和患者可在家中使用[16, 17]。 缺点包括 与其他眼压计相比成本较高,需要定期购买一次性探头[15, 17];iCare 眼压计对角膜异常患者的使用受到限制,即角膜阻力因子异常或角膜滞后的患者[5, 7]。 结论:iCare 眼压计有许多优点,包括检查过程中患者安全舒适、准确、便携、结果快速,而且既可用于健康眼睛,也可用于患有各种疾病或手术后的眼睛。不过,在某些临床病例中使用时,它也有一些局限性,而且成本较高。尽管存在这些局限性,iCare 眼压计仍然是测量眼压的重要工具。因此,我们建议利用 iCare 眼压计所采用的反弹技术开发一种国产便携式眼压计。
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引用次数: 0
Potential of a neural network in the diagnosis of laryngeal tumors 神经网络在喉肿瘤诊断中的潜力
Pub Date : 2024-07-03 DOI: 10.17816/dd627076
Evgeniya A. Safyannikova, A. Kryukov, N. Kunel’skaya, P. Sudarev, S. Romanenko, D. I. Kurbanova, E. V. Lesogorova, E. N. Krasil’nikova, Anastasiya A. Ivanova, Anton P. Osadchiy, Natalya G. Shevyrina
BACKGROUND: Currently, artificial intelligence in the form of artificial neural networks is being actively implemented in a number of areas of our lives, including medicine. In particular, in otorhinolaryngology, artificial neural networks are used to analyze images obtained during endoscopic examinations of patients (e.g., videolaryngoscopy) [1–3]. The interpretation of laryngoscopic images often presents significant difficulties for practicing physicians, which reduces the frequency of detection of precancerous laryngeal diseases and contributes to the increase in the number of patients with stage III–IV laryngeal cancer [4, 5]. This underscores the significance of prompt performance and accurate interpretation of the findings of endoscopic examinations of patients with laryngeal disorders. Artificial neural networks can be employed to analyze the results of videolaryngoscopy, furnishing the physician with supplementary information that can enhance diagnostic accuracy and diminish the probability of error [6, 7]. AIM: The study aims to develop and train an artificial neural network for recognizing characteristic features of laryngeal neoplasms and variants of laryngeal normality. MATERIALS AND METHODS: The study was conducted under the grant of the Moscow Center for Innovative Technologies in Healthcare (grant No. 2112-1/22) entitled “Using Neural Networks (Artificial Intelligence Algorithms) for Control and Improving the Quality of Diagnosis and Treatment of Diseases of Laryngeal and Ear Structures through Digital Technologies”.The following methods were used during the course of the study: data collection for the creation of a photobank (dataset) of medical images obtained during videolaryngoscopy; data partitioning for the formation of datasets for individual nosologies and groups of diseases; the method of consilium; analysis of the accuracy of recognition and classification of digital endoscopic images; and training of classification neural networks. Consequently, a dataset comprising 1,471 laryngeal images in digital formats (JPEG, BMP) was assembled, labelled, and uploaded for the purpose of training the artificial neural network. Of the total number of images, 410 were classified as pertaining to laryngeal formation, while 1061 were classified as variants of normality. Subsequently, the neural network was trained and tested to identify the signs of normal and laryngeal masses. RESULTS: The results of the testing of the artificial neural network indicated the formation of an inaccuracy matrix, the calculation of the value of recognition accuracy, the calculation of the quality indicators of the model performance, and the construction of the ROC curve. The developed and trained artificial neural network demonstrated an accuracy of 86% in recognizing the signs of laryngeal masses and norms. CONCLUSIONS: This study demonstrates that a trained artificial neural network can successfully distinguish between signs of normal and laryngeal m
背景:目前,以人工神经网络为形式的人工智能正积极应用于我们生活的多个领域,包括医学。特别是在耳鼻喉科领域,人工神经网络被用于分析在对患者进行内窥镜检查(如视频喉镜检查)时获得的图像 [1-3]。喉镜图像的判读往往给执业医师带来很大困难,从而降低了喉癌前疾病的发现率,并导致 III-IV 期喉癌患者人数的增加 [4,5]。这凸显了对喉疾病患者及时进行内窥镜检查并准确解读检查结果的重要性。人工神经网络可用于分析视频喉镜检查的结果,为医生提供补充信息,从而提高诊断准确性并降低出错概率[6, 7]。目的:本研究旨在开发和训练一种人工神经网络,用于识别喉肿瘤和喉正常变异的特征。材料与方法:本研究在莫斯科医疗保健创新技术中心(Moscow Center for Innovative Technologies in Healthcare)的资助下进行(资助编号:2112-1/22),题为 "通过数字技术使用神经网络(人工智能算法)控制和提高喉与耳部结构疾病的诊断和治疗质量"。在研究过程中使用了以下方法:收集数据,建立视频喉镜检查过程中获得的医学影像图片库(数据集);数据分区,形成单个病名和疾病组的数据集;会诊方法;分析数字内窥镜图像识别和分类的准确性;以及训练分类神经网络。因此,为了训练人工神经网络,我们收集、标注并上传了由 1,471 张数字格式(JPEG、BMP)喉部图像组成的数据集。在所有图像中,410 张被归类为与喉形成有关,1061 张被归类为正常变体。随后,对神经网络进行了训练和测试,以识别正常肿块和喉肿块的迹象。结果:人工神经网络的测试结果表明,形成了误差矩阵,计算了识别准确率值,计算了模型性能的质量指标,并构建了 ROC 曲线。经过开发和训练的人工神经网络在识别喉部肿块和正常体征方面的准确率为 86%。结论:本研究表明,经过训练的人工神经网络可以成功区分内窥镜照片中的正常肿块和喉肿块。随着神经网络的进一步训练和高精确度的实现,该技术可在临床实践中用作喉镜图像解读和喉肿块早期诊断的助手。它还可用于控制和提高初级保健医生对喉、鼻、耳疾病的诊断和治疗质量。
{"title":"Potential of a neural network in the diagnosis of laryngeal tumors","authors":"Evgeniya A. Safyannikova, A. Kryukov, N. Kunel’skaya, P. Sudarev, S. Romanenko, D. I. Kurbanova, E. V. Lesogorova, E. N. Krasil’nikova, Anastasiya A. Ivanova, Anton P. Osadchiy, Natalya G. Shevyrina","doi":"10.17816/dd627076","DOIUrl":"https://doi.org/10.17816/dd627076","url":null,"abstract":"BACKGROUND: Currently, artificial intelligence in the form of artificial neural networks is being actively implemented in a number of areas of our lives, including medicine. In particular, in otorhinolaryngology, artificial neural networks are used to analyze images obtained during endoscopic examinations of patients (e.g., videolaryngoscopy) [1–3]. The interpretation of laryngoscopic images often presents significant difficulties for practicing physicians, which reduces the frequency of detection of precancerous laryngeal diseases and contributes to the increase in the number of patients with stage III–IV laryngeal cancer [4, 5]. This underscores the significance of prompt performance and accurate interpretation of the findings of endoscopic examinations of patients with laryngeal disorders. Artificial neural networks can be employed to analyze the results of videolaryngoscopy, furnishing the physician with supplementary information that can enhance diagnostic accuracy and diminish the probability of error [6, 7]. \u0000AIM: The study aims to develop and train an artificial neural network for recognizing characteristic features of laryngeal neoplasms and variants of laryngeal normality. \u0000MATERIALS AND METHODS: The study was conducted under the grant of the Moscow Center for Innovative Technologies in Healthcare (grant No. 2112-1/22) entitled “Using Neural Networks (Artificial Intelligence Algorithms) for Control and Improving the Quality of Diagnosis and Treatment of Diseases of Laryngeal and Ear Structures through Digital Technologies”.The following methods were used during the course of the study: data collection for the creation of a photobank (dataset) of medical images obtained during videolaryngoscopy; data partitioning for the formation of datasets for individual nosologies and groups of diseases; the method of consilium; analysis of the accuracy of recognition and classification of digital endoscopic images; and training of classification neural networks. \u0000Consequently, a dataset comprising 1,471 laryngeal images in digital formats (JPEG, BMP) was assembled, labelled, and uploaded for the purpose of training the artificial neural network. Of the total number of images, 410 were classified as pertaining to laryngeal formation, while 1061 were classified as variants of normality. Subsequently, the neural network was trained and tested to identify the signs of normal and laryngeal masses. \u0000RESULTS: The results of the testing of the artificial neural network indicated the formation of an inaccuracy matrix, the calculation of the value of recognition accuracy, the calculation of the quality indicators of the model performance, and the construction of the ROC curve. The developed and trained artificial neural network demonstrated an accuracy of 86% in recognizing the signs of laryngeal masses and norms. \u0000CONCLUSIONS: This study demonstrates that a trained artificial neural network can successfully distinguish between signs of normal and laryngeal m","PeriodicalId":34831,"journal":{"name":"Digital Diagnostics","volume":"75 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141682414","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
Complex morphological and computed tomographic characteristics of vascularization of monochorionic diamniotic placentas with discordant weight of newborns 新生儿体重不一致的单绒毛膜双羊膜胎盘血管化的复杂形态和计算机断层扫描特征
Pub Date : 2024-07-03 DOI: 10.17816/dd626043
E. Frolova, U. N. Tumanova, Viktorya A. Sakalo, Kristina A. Gladkova, V. Bychenko, A. I. Shchegolev
BACKGROUND: Twin pregnancies compared to singleton pregnancies are characterized by a higher incidence of complications, particularly fetal growth retardation [1]. The main causes of discordance and fetal growth retardation are considered to be differences in the size of placental sites, leading to uneven metabolism of substances and blood, as well as disorders of fetal blood supply caused by vascular anastomoses in the placenta [2, 3]. Computed tomography with the administration of contrast agents can be an effective method to assess the angioarchitectonics and vascularization of the placenta after delivery [4]. AIM: The aim of this study is to conduct a comprehensive computed tomography and morphological evaluation of the vascularization features of monochorionic diamniotic placentas with discordant neonatal weight. MATERIALS AND METHODS: This study was based on the analysis of 33 monochorionic diamniotic placentas obtained after delivery at 27–37 weeks of gestation using the original complex computed tomography and morphological method of investigation [5]. Upon obtaining the placenta, its mass and size of placental sites were determined, as well as the type of attachment, length, diameter, and degree of cord tortuosity. Prior to the computed tomography examination, the umbilical cord and its major branches were cleared of blood clots. The placenta was then immersed in a 10% hypertonic sodium chloride solution and placed on hygroscopic material. Subsequently, contrast dye mixtures of varying colors and concentrations were gradually injected into the unpaired umbilical vein, followed by the umbilical arteries in a sequential manner. The contrast dye mixtures consisted of a water-soluble radiopaque contrast agent, iodixanol, in an aqueous solution of gouache dye. The concentration of the contrast agent in the mixture for injection into the umbilical arteries was 70%, while in the vein it was 15%. The first and second placentae were injected with red and yellow gouache dyes, respectively, into the arteries of the umbilical cord, while blue and green gouache dyes were used for the veins. Following each injection of the contrast dye mixture into the umbilical cord vessel, a visual assessment of the vessel’s branching was conducted, followed by computed tomography on a Toshiba Aquilion ONE 640 (Pediatric 0.5 software package according to the Abdomen Baby study protocol). The final stage involved a traditional macroscopic and microscopic examination of the placenta [6]. RESULTS: The study revealed that the mean value of birth weight discordance in twins was 22.7 ± 2.1%, while placental site discordance was 26.6 ± 5.0%. Vascular anastomoses were identified in 74.2% of twin placentas. Of these, 19 cases exhibited one anastomosis, three cases demonstrated two anastomoses, and one case exhibited five anastomoses. Arterio-arterial anastomoses were observed with greater frequency, while veno-venous and arteriovenous anastomoses were observed with less f
背景:双胎妊娠与单胎妊娠相比,并发症的发生率较高,尤其是胎儿发育迟缓[1]。双胎畸形和胎儿发育迟缓的主要原因被认为是胎盘部位的大小差异导致物质和血液代谢不均,以及胎盘血管吻合引起的胎儿供血障碍[2, 3]。使用造影剂进行计算机断层扫描是评估产后胎盘血管结构和血管化的有效方法[4]。目的:本研究旨在对新生儿体重不一致的单绒毛膜双羊膜胎盘的血管化特征进行全面的计算机断层扫描和形态学评估。材料与方法:本研究基于对33个妊娠27-37周分娩后获得的单绒毛膜双羊膜胎盘的分析,使用原始的复合计算机断层扫描和形态学调查方法[5]。在获得胎盘后,对其质量、胎盘部位的大小、附着类型、长度、直径和脐带迂曲程度进行了测定。在进行计算机断层扫描之前,先清除脐带及其主要分支上的血块。然后将胎盘浸泡在 10%的高渗氯化钠溶液中,并放在吸湿材料上。随后,将不同颜色和浓度的造影剂混合物依次注入未配对的脐静脉和脐动脉。造影剂混合物由水溶性不透射线造影剂碘克沙醇和水粉染料水溶液组成。注入脐动脉的混合物中造影剂的浓度为 70%,而注入静脉的浓度为 15%。第一个和第二个胎盘的脐动脉分别注射了红色和黄色的水粉染料,静脉则使用了蓝色和绿色的水粉染料。每次向脐带血管注入造影剂混合物后,都要对血管的分支进行目测评估,然后在东芝 Aquilion ONE 640 上进行计算机断层扫描(根据腹部婴儿研究方案使用 Pediatric 0.5 软件包)。最后对胎盘进行传统的宏观和微观检查[6]。结果:研究显示,双胞胎出生体重不一致的平均值为(22.7 ± 2.1%),而胎盘部位不一致的平均值为(26.6 ± 5.0%)。在 74.2% 的双胞胎胎盘中发现了血管吻合。其中,19 例为一个吻合口,3 例为两个吻合口,1 例为五个吻合口。动脉-动脉吻合的频率较高,而静脉-静脉和动静脉吻合的频率较低。动脉-动脉吻合口的平均直径为 3.7 ± 0.15 毫米,动静脉吻合口的平均直径为 4.2 ± 0.23 毫米,静脉-静脉吻合口的平均直径为 4.6 ± 0.26 毫米。结论:使用所开发的复杂方法(包括计算机断层扫描以及随后构建胎盘血管三维模型和光谱颜色图),可以观察胎盘血管化的特征,并评估现有吻合口的类型和大小。在胎位不正的单绒毛膜双羊膜胎盘中,检测到脐带附着和血管吻合异常的频率很高。
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引用次数: 0
The system of accounting and control of dose loads on the lacrimal apparatus during radiotherapy of thyroid cancer 甲状腺癌放疗期间泪器剂量负荷的核算和控制系统
Pub Date : 2024-07-03 DOI: 10.17816/dd626191
Danila V. Yudakov, A. A. Trukhin, M. S. Sheremeta, Anatoliy S. Makeev, V. D. Yartsev
BACKGROUND: Lacrimal glands and lacrimal pathways are one of the main undesirable targets during radionuclide therapy using I-131, namely, in 24% of cases, secondary lacrimal pathways obliteration occurs [1]. In the legislation of the Russian Federation in the field of atomic energy use, there are a number of administrative documents obliging to keep records and control of individual radiation doses with the provision of data to the unified system for monitoring individual radiation doses of citizens. At the same time, statistical analysis does not include systematic accounting and control of individual doses of internal radiation to patients, in particular, to the lacrimal apparatus, when using nuclear medicine methods for therapeutic purposes. AIM: To develop a software and hardware preventive complex — a system for accounting and monitoring dose loads on lacrimal pathways during radioiodotherapy. MATERIALS AND METHODS: GE Discovery NM/CT 670 imaging systems, GE Discovery NM 630, the Xeleris 4 DR Workstation nuclear Medicine Workstation and the I-131-based radioisotope were used. To exclude the ingress of radioisotope into lacrimal pathways, the use of vasoconstrictive drugs and the use of tear point obturators were considered. The client part of the web service was implemented based on the React JavaScript library. The development of the Backend component was carried out in the Python programming language. RESULTS: To assess the risk of complications, a method was developed that takes into account the following parameters: age, gender, total administered activity to the patient, the presence of current lacrimation at the time of hospitalization, the presence of menopause (for women) and the accumulation index I-131 in lacrimal pathways. The primary data (anamnesis and prescribed treatment) are entered by the patient's attending physician in the questionnaire during the initial examination. At 72 hours after the introduction of radioisotope, using a molecular imaging system, a medical physicist determines the index of accumulation of radioisotope in lacrimal pathways. Based on the data obtained, the overall risk level of secondary obliteration of the lacrimal tract is determined and, depending on the result obtained, appropriate recommendations are made to the patient. Since the described process is quite time-consuming in a clinical setting, an intelligent medical decision support system has been developed that allows automating the process and minimizing the likelihood of errors. CONCLUSION: The development of a software and hardware preventive complex will make it possible to prescribe preventive methods with greater efficiency at all stages of the course of treatment in order to minimize the occurrence of adverse events (such as secondary obliteration of the tear ducts), which in turn will improve the quality of life of patients.
背景:在使用 I-131 进行放射性核素治疗时,泪腺和泪道是主要的不良目标之一,即 24% 的病例会出现继发性泪道阻塞 [1]。在俄罗斯联邦原子能利用领域的立法中,有许多行政文件要求对个人辐射剂量进行记录和控制,并向统一的公民个人辐射剂量监测系统提供数据。与此同时,统计分析并不包括对患者在使用核医学方法进行治疗时,特别是泪器所受内辐射剂量的系统记录和控制。目的:开发一个软件和硬件预防综合系统--用于核算和监测放射碘治疗过程中泪道的剂量负荷。材料和方法:使用 GE Discovery NM/CT 670 成像系统、GE Discovery NM 630、Xeleris 4 DR 工作站核医学工作站和基于 I-131 的放射性同位素。为避免放射性同位素进入泪道,考虑了使用血管收缩药物和泪点闭合器。网络服务的客户端部分是基于 React JavaScript 库实现的。后台组件使用 Python 编程语言开发。结果:为了评估并发症的风险,我们开发了一种方法,该方法考虑了以下参数:年龄、性别、患者的总给药量、住院时是否流泪、是否绝经(女性)以及泪道中的 I-131 累积指数。患者的主治医生会在初次检查时将主要数据(病史和处方治疗)填入问卷中。引入放射性同位素 72 小时后,由医学物理学家使用分子成像系统测定放射性同位素在泪道中的蓄积指数。根据所获得的数据,确定泪道二次阻塞的总体风险水平,并根据所获得的结果,向患者提出适当的建议。由于所述过程在临床环境中相当耗时,因此开发了一个智能医疗决策支持系统,使该过程自动化,最大限度地减少出错的可能性。结论:通过开发软件和硬件预防综合系统,可以在治疗过程的各个阶段以更高的效率开具预防方法处方,从而最大限度地减少不良事件(如继发性泪道阻塞)的发生,进而提高患者的生活质量。
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引用次数: 0
Use of collapsible surgical templates in full dentures with immediate loading 在全口义齿中使用可折叠的手术模板,并立即安装
Pub Date : 2024-07-03 DOI: 10.17816/dd626183
Valeria G. Logunkova, Mahmud M. Mazlum, Alexander V. Kuznetsov
BACKGROUND: Complete prosthetics employs the use of collapsible navigable surgical templates, which can effectively mitigate the complications associated with dental implantation at each stage of the process [1–3]. The correct positioning of the implant is of paramount importance, as it directly influences the success of subsequent prosthetics. This is because the planning of the surgical template is conducted simultaneously, taking into account the subsequent prosthetic construction [4–6]. AIM: The study aimed to compare the technique of using collapsible surgical templates versus simple ones in complete dentures. MATERIALS AND METHODS: The main group consisted of 15 patients, aged 52–70 years, with four women and 11 men. Half of the patients exhibited marked atrophy of the maxilla, while the other half exhibited atrophy of the mandible. All patients underwent the technique of using collapsible surgical templates in full dentures with immediate loading. The control group consisted of 15 patients aged 50–67 years, 6 men and 9 women. They underwent surgery with the use of a conventional surgical navigation template and in whom fixation of the prosthetic structure was performed by the classical method. RESULTS: In the primary group, the initial two components of the collapsible template are fixed to the teeth. The template structures are connected to each other with pins, which eliminates micro-vibrations of the initial component. The second template element is then removed. Following the removal of the teeth, the third component of the surgical template is fixed to the pins of the initial component. Following the placement of dental implants, the temporary prosthetic construction is also fixed using a special template. The control group underwent standard surgical technique with a simple surgical template. In the main group, the accuracy of implant positioning, reduction of the risk of complications, and reduction of the operation time were observed. One-stage fixation of the temporary prosthetic structure did not cause aesthetic and functional inconvenience to the patients. In the control group, errors in implant placement were observed in 34% of cases, and intraoperative complications related to neuralgia developed. CONCLUSIONS: The use of advanced technology enhances the effectiveness of dental implantation.
背景:全口义齿修复术采用可折叠的可导航手术模板,可有效减少种植牙过程中每个阶段的并发症[1-3]。种植体的正确定位至关重要,因为它直接影响到后续修复的成功与否。这是因为手术模板的规划是同时进行的,要考虑到后续的修复结构[4-6]。目的:本研究旨在比较在全口义齿中使用可折叠手术模板和简单模板的技术。材料和方法:主要研究对象包括 15 名患者,年龄在 52-70 岁之间,其中 4 名女性,11 名男性。其中一半患者上颌骨明显萎缩,另一半患者下颌骨萎缩。所有患者都接受了在全口义齿中使用可折叠手术模板并立即加载的技术。对照组有 15 名患者,年龄在 50-67 岁之间,其中 6 名男性,9 名女性。他们使用传统的手术导航模板进行手术,修复结构的固定采用传统方法。结果:在初级组中,可折叠模板的最初两个组件被固定在牙齿上。模板结构通过销钉相互连接,从而消除了初始组件的微振动。然后取下第二个模板元件。移除牙齿后,将手术模板的第三个组件固定到初始组件的销钉上。植入牙科植入物后,临时修复体也使用特殊模板进行固定。对照组采用标准手术技术,使用简单的手术模板。在主要组中,我们观察到了种植体定位的准确性、并发症风险的降低以及手术时间的缩短。临时假体结构的一段式固定没有给患者带来美观和功能上的不便。在对照组中,34%的病例出现了种植体植入错误,术中出现了与神经痛相关的并发症。结论:先进技术的使用提高了种植牙的效果。
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引用次数: 0
3D scanning possibilities in modern dentistry 3D 扫描在现代牙科中的应用
Pub Date : 2024-07-03 DOI: 10.17816/dd625965
Nikita E. Levashov, A. Oleynikov, Sergey A. Romanov
BACKGROUND: Modern dentistry is not without advanced technologies, and intraoral scanning is becoming an increasingly important element of diagnosis and treatment. This technology is constantly evolving, offering new possibilities. The fundamental principles underlying the functionality of the intraoral scanner are light-measuring technology and photogrammetry. Light-emitting diodes integrated into the scanner body emit light onto the surface of the teeth, and sensors subsequently record the reflected signals, thereby creating an accurate three-dimensional model. The data is then processed by software that generates detailed digital models of the patient's jaws that are compatible with 3D CT data [1]. AIM: The study aimed to assess the potential of three-dimensional scanning for the planning and implementation of a single-stage dental implant protocol. MATERIALS AND METHODS: Patient M., aged 41, presented to the dental clinic with complaints of a fractured tooth on the upper jaw (1.2). A decision was made to perform a single-stage implantation with the extraction of tooth 1.2 and the placement of a temporary crown based on the results of the examination. Intraoral scanning of the jaws was performed for the fabrication of the crown, as the cutting edge of the tooth was destroyed by two-thirds and the tooth fragment was lost. In order to create a model of the crown, the horizontal inversion technique was used. Tooth 2.2 was extracted from the scan of the upper jaw and inverted horizontally, resulting in a copy of tooth 1.2 in the expanded state. This was done to reproduce the exact shape of the future crown. The design of the crown was modeled in the program in conjunction with the loaded model of the temporary abutment (implant suprastructure for the fixation of the artificial crown). This approach enabled the accurate contour of the crown eruption and correct positioning relative to the gingival cuff and the abutment shaft to be obtained. RESULTS: The implementation of the technique permitted the creation of an accurate and anatomically correct model of the crown of the replaced tooth without its introduction into occlusion, thereby reducing the risk of functional overload of the implant during the period of osseointegration (engraftment) [2]. The applied method enables the exclusion of the stage of crown correction at the moment of its fixation and the combination of 3D scans with data from computed tomography for the detailed planning of the surgery. Furthermore, the use of 3D scans permitted the visualization of the projected position of the future temporary crown, thereby enabling the precise positioning of the implant in an anatomically correct location. CONCLUSIONS: This case study illustrates the efficacy of planning and implementing single-stage implantation with the aid of intraoral jaw scanning, as it reduces treatment duration, eliminates the necessity for implant loading, and ensures the attainment of a predictable treatment outco
背景:现代牙科离不开先进的技术,而口内扫描正日益成为诊断和治疗的重要组成部分。这项技术在不断发展,提供了新的可能性。口内扫描仪功能的基本原理是光测量技术和摄影测量学。集成在扫描仪机身内的发光二极管向牙齿表面发射光线,传感器随后记录反射信号,从而创建精确的三维模型。然后通过软件对数据进行处理,生成与三维 CT 数据兼容的患者颌骨的详细数字模型[1]。目的:该研究旨在评估三维扫描在规划和实施单阶段种植牙方案方面的潜力。材料与方法:患者 M.,41 岁,主诉上颚牙齿断裂(1.2),前来牙科诊所就诊。根据检查结果,决定进行单阶段种植,拔除 1.2 号牙齿并安装临时牙冠。为了制作牙冠,对颌骨进行了口内扫描,因为牙齿的切缘被破坏了三分之二,牙齿碎片已经丢失。为了制作牙冠模型,采用了水平反转技术。从上颚扫描图像中提取出 2.2 号牙齿,并将其水平倒置,从而得到 1.2 号牙齿膨胀状态的复制品。这样做是为了精确复制未来牙冠的形状。牙冠的设计在程序中与临时基台(用于固定人工牙冠的种植体上部结构)的加载模型一起建模。通过这种方法,可以获得精确的牙冠萌出轮廓以及与龈袖口和基台轴的正确定位。结果:该技术的应用允许在不进入咬合状态的情况下创建一个准确且解剖学上正确的替代牙牙冠模型,从而降低了骨结合(移植)期间种植体功能超负荷的风险[2]。采用这种方法可以排除牙冠固定时的牙冠修正阶段,并将三维扫描与计算机断层扫描数据相结合,以详细规划手术。此外,通过三维扫描还可以看到未来临时牙冠的预计位置,从而将种植体精确定位在解剖学上正确的位置。结论:本病例研究说明了借助口内颌骨扫描规划和实施单阶段种植的有效性,因为它缩短了治疗时间,消除了种植体装载的必要性,并确保获得可预测的治疗效果。俄罗斯牙科目前正在积极采用这些技术,新的治疗方案不断涌现。
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引用次数: 0
CHANGES ON DIFFUSION-WEIGHTED MRT (DWI) IN THE HIPPOCAMPUS IN TRANSIENT GLOBAL AMNESIA 短暂性全球失忆症患者海马体弥散加权磁共振成像(DWI)的变化
Pub Date : 2024-07-03 DOI: 10.17816/dd627030
Alexey V. Kokukhin, Mikhail N. Zhuravlev, Elena A. Ponomareva, Railya F. Bakieva, Ekaterina P. Stremaus, Evgenia L. Zhigalova, Sergey A. Murunov, Yana V. Yatsenko
Transient global amnesia (TGA) is considered as one of the variants of transient ischemic attack (TIA). Unlike the diagnosis of cerebral infarction, the definition of TIA presupposes not only the reversibility of neurological symptoms, but also the absence of morphological signs of cerebral infarction detected by imaging methods. While the clinical diagnosis of TGA is not difficult, there is no clear opinion regarding changes on MRI. The use of high-field MRI devices (3T, 7T) shows a fairly high frequency of detecting point DWI changes in the hippocampal projection (up to 50%), which can be used as one of the objective criteria for the diagnosis of TGA
短暂性全面遗忘(TGA)被认为是短暂性脑缺血发作(TIA)的变异之一。与脑梗塞的诊断不同,TIA 的定义不仅以神经症状的可逆性为前提,还以影像学方法检测不到脑梗塞的形态学征象为前提。虽然 TGA 的临床诊断并不困难,但对于核磁共振成像的变化却没有明确的意见。高场磁共振成像设备(3T、7T)的使用表明,在海马投影中检测到点状 DWI 变化的频率相当高(高达 50%),这可作为诊断 TGA 的客观标准之一
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引用次数: 0
Development of a system for automatic analysis of the morphokinetic state of the human embryo 开发人类胚胎形态动力学状态自动分析系统
Pub Date : 2024-07-03 DOI: 10.17816/dd627040
Mark G. Kosenko, G. B. Nemkovskiy, Olesya Yu. Tsvetkova, Ivan D. Akinfeev, V. A. Dolgova
BACKGROUND: The application of videofixation technologies in embryology is developing significantly. These technologies permit the objective analysis of the process of early embryogenesis of each cultured embryo without the necessity of removing the culture cup from the incubator. Timelapse technologies in routine practice allow for the guaranteed detection of embryo developmental pathologies that are inaccessible to traditional developmental monitoring methods [1, 2]. Nevertheless, the annotation and manual evaluation of all frames captured during the cultivation process can be a time-consuming process. Furthermore, video fixation itself does not eliminate the issue of objectivizing the quality of interpretation of the obtained images [3]. Intelligent technologies, in particular, solutions developed with the use of machine learning, are successfully employed in the resolution of such problems. AIM: The aim of this study is to develop a system for the automated analysis of the morphokinetic state of the human embryo with the aim of assessing its capacity for implantation. MATERIALS AND METHODS: The data were collected at the Family Medical Center (Ufa, Russia) and the Clinical Hospital IDK of the Mother and Child Group of Companies (Samara, Russia). Digital images of the period of preimplantation development of human embryos up to the blastocyst stage (days 0–6 from insemination) were obtained using an incubator for in vitro fertilization laboratories, the EmbryoVisor, with a timelapse (hyperlapse) video fixation system. Embryos were cultured individually in special micro-well WOW dishes (Vitrolife, Sweden). The data set was labelled using Label Studio Community Edition software. A recurrent convolutional neural network was selected to analyse the data and trained using multiple images. RESULTS: The development of the automatic analysis system is based on the classification of the morphokinetic state of the embryo according to the stages of embryogenesis: fertilization, fragmentation, morula formation, and blastocyst formation. Segmentation of multiple objects, such as pronuclei and polar bodies at the fertilization stage or blastomeres at the fragmentation stage, will be performed depending on a certain stage of development. We plan to build a binary classification of the presence of additional features (multinucleation, heterogeneity of the endoplasmic network), classification/regression of additional features (so, fragmentation can be estimated as discrete ranges or absolute values). The result is a system for labeling the morphodynamic profile of an embryo using deep learning. This method automates and accelerates the analysis process, which previously required significant time and human resources. CONCLUSIONS: It is anticipated that the developed system of automatic analysis of morphokinetic state of embryos will simplify the process of evaluating the quality of human embryos in in vitro fertilization laboratories, reducing the time and
背景:视频固定技术在胚胎学中的应用正在蓬勃发展。这些技术可对每个培养胚胎的早期胚胎发育过程进行客观分析,而无需将培养杯从培养箱中取出。在常规实践中,延时技术可确保检测到传统发育监测方法无法检测到的胚胎发育病理现象 [1,2]。然而,对培养过程中捕捉到的所有帧进行注释和人工评估是一个耗时的过程。此外,视频固定本身并不能消除客观解释所获图像质量的问题 [3]。智能技术,尤其是利用机器学习技术开发的解决方案,在解决此类问题方面取得了成功。目的:本研究旨在开发一套自动分析人类胚胎形态动力学状态的系统,以评估其植入能力。材料与方法:数据在家庭医疗中心(俄罗斯乌法)和母婴集团公司临床医院 IDK(俄罗斯萨马拉)收集。人类胚胎植入前发育至囊胚期(授精后第 0-6 天)的数字图像是使用体外受精实验室培养箱 EmbryoVisor 和延时(超延时)视频固定系统获得的。胚胎在特制的微孔培养皿(Vitrolife,瑞典)中单独培养。数据集使用 Label Studio Community Edition 软件进行标记。选择了一个递归卷积神经网络来分析数据,并使用多张图像进行训练。结果:自动分析系统的开发基于胚胎形态动力学状态的分类,按照胚胎发生的各个阶段:受精、破碎、蜕膜形成和囊胚形成。多个对象(如受精阶段的前核和极体或破碎阶段的胚泡)的分割将根据特定的发育阶段进行。我们计划对是否存在其他特征(多核、内质网的异质性)进行二元分类,对其他特征进行分类/回归(因此,可按离散范围或绝对值估算破碎程度)。最终形成了一个利用深度学习标记胚胎形态动力学特征的系统。这种方法自动化并加快了分析过程,而这在以前需要大量的时间和人力资源。结论:预计所开发的胚胎形态动力学状态自动分析系统将简化体外受精实验室评估人类胚胎质量的过程,减少这一过程所花费的时间和资源。此外,它还将提高评估胚胎植入能力的准确性和可靠性,并有可能成为开发胚胎学医疗决策支持系统的基础。
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引用次数: 0
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