Pub Date : 2024-02-15DOI: 10.1016/j.irbm.2024.100829
Riaz Ullah Khan , Rajesh Kumar , Amin Ul Haq , Inayat Khan , Mohammad Shabaz , Faheem Khan
Background
Infectious diseases like COVID-19 pose major global health threats. Robust surveillance systems are needed to swiftly detect and contain outbreaks. This study investigates the integration of Blockchain technology and machine learning to establish a secure and ethically sound approach to tracking infectious diseases.
Methods
We established a Blockchain-based framework for the collection and analysis of epidemiological data while upholding privacy standards. We employed encryption and privacy-enhancing technologies to gather information on case numbers, locations, and disease progression. Artificial neural networks were employed to scrutinize the data and pinpoint transmission patterns. A prototype was specifically designed to work with COVID-19 data from specific countries.
Results
The Blockchain system enabled reliable and tamper-proof data gathering with enhanced transparency. The evaluation showed it allowed cost-effective tracking of infectious diseases while upholding confidentiality safeguards. The neural networks effectively modeled disease spread based on the Blockchain data.
Conclusions
This research demonstrates the viability of Blockchain and machine learning for infectious disease surveillance. The system strikes a balance between public health concerns and personal privacy considerations. It also addresses the challenges of misinformation and accountability gaps during disease outbreaks. Ongoing development can lay the foundation for an ethical framework for digital disease tracking, ensuring both pandemic preparedness and response capabilities are upheld.
{"title":"Blockchain-Based Trusted Tracking Smart Sensing Network to Prevent the Spread of Infectious Diseases","authors":"Riaz Ullah Khan , Rajesh Kumar , Amin Ul Haq , Inayat Khan , Mohammad Shabaz , Faheem Khan","doi":"10.1016/j.irbm.2024.100829","DOIUrl":"10.1016/j.irbm.2024.100829","url":null,"abstract":"<div><h3>Background</h3><p>Infectious diseases like COVID-19 pose major global health threats. Robust surveillance systems are needed to swiftly detect and contain outbreaks. This study investigates the integration of Blockchain technology and machine learning to establish a secure and ethically sound approach to tracking infectious diseases.</p></div><div><h3>Methods</h3><p>We established a Blockchain-based framework for the collection and analysis of epidemiological data while upholding privacy standards. We employed encryption and privacy-enhancing technologies to gather information on case numbers, locations, and disease progression. Artificial neural networks were employed to scrutinize the data and pinpoint transmission patterns. A prototype was specifically designed to work with COVID-19 data from specific countries.</p></div><div><h3>Results</h3><p>The Blockchain system enabled reliable and tamper-proof data gathering with enhanced transparency. The evaluation showed it allowed cost-effective tracking of infectious diseases while upholding confidentiality safeguards. The neural networks effectively modeled disease spread based on the Blockchain data.</p></div><div><h3>Conclusions</h3><p>This research demonstrates the viability of Blockchain and machine learning for infectious disease surveillance. The system strikes a balance between public health concerns and personal privacy considerations. It also addresses the challenges of misinformation and accountability gaps during disease outbreaks. Ongoing development can lay the foundation for an ethical framework for digital disease tracking, ensuring both pandemic preparedness and response capabilities are upheld.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"45 2","pages":"Article 100829"},"PeriodicalIF":4.8,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139813901","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}
Pub Date : 2024-02-12DOI: 10.1016/j.irbm.2024.100828
Sylvain Poinard , Alice Ganeau , Maxime Lafond , Oliver Dorado , Stefan Catheline , Cyril Lafon , Florent Aptel , Gilles Thuret , Philippe Gain
Ultrasound is a powerful tool in ophthalmology with a wide range of physical effects that can interact with biological tissue. This ranges from low-intensity linear transducers for diagnosis to high-intensity pulsed or continuous focused ultrasound for therapy. Designing devices for ophthalmological applications requires creating fine focal spots, minimizing heating, and accounting for eye movements. Ultrasound is essential for ophthalmologists to provide accurate diagnosis and quantitative information on tissue composition and blood flow. Ultrasound has revolutionized cataract surgery, making it less invasive and in an outpatient basis, while enhancing the safety and predictability of glaucoma treatment using high-intensity focused ultrasound. The article aims to review the complex and multifaceted bioeffects of ultrasound used in ophthalmology, and its current and future applications of ultrasound in ophthalmology, notably regarding cavitation-mediated drug delivery.
{"title":"Ultrasound Applications in Ophthalmology: A Review","authors":"Sylvain Poinard , Alice Ganeau , Maxime Lafond , Oliver Dorado , Stefan Catheline , Cyril Lafon , Florent Aptel , Gilles Thuret , Philippe Gain","doi":"10.1016/j.irbm.2024.100828","DOIUrl":"10.1016/j.irbm.2024.100828","url":null,"abstract":"<div><p>Ultrasound is a powerful tool in ophthalmology with a wide range of physical effects that can interact with biological tissue. This ranges from low-intensity linear transducers for diagnosis to high-intensity pulsed or continuous focused ultrasound for therapy. Designing devices for ophthalmological applications requires creating fine focal spots, minimizing heating, and accounting for eye movements. Ultrasound is essential for ophthalmologists to provide accurate diagnosis and quantitative information on tissue composition and blood flow. Ultrasound has revolutionized cataract surgery, making it less invasive and in an outpatient basis, while enhancing the safety and predictability of glaucoma treatment using high-intensity focused ultrasound. The article aims to review the complex and multifaceted bioeffects of ultrasound used in ophthalmology, and its current and future applications of ultrasound in ophthalmology, notably regarding cavitation-mediated drug delivery.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"45 2","pages":"Article 100828"},"PeriodicalIF":4.8,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139828638","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}
Pub Date : 2024-02-01DOI: 10.1016/j.irbm.2024.100823
Adrien Mialland , Ihab Atallah , Agnès Bonvilain
Objectives
Electromyography is one of the few measurement methods that can be implanted, and it has been used in swallowing detection to measure superficial muscles, but has failed to provide satisfactory performances for a real-time detection. Yet, we seek to allow for the feasibility of an implantable active artificial larynx that would protect the airway during swallowing. Therefore, it requires a real-time detection of swallowing through measurements that must provide dedicated and early activity on swallowing, to close the airways soon as possible. In that regard, promising results were published about the stylohyoid and posterior digastric muscles, but no study provided simultaneous and independent measurements. So, this paper aims to evaluate both muscles with intra muscular EMG, in a large set of tasks, to evaluate their recruitment pattern for the feasibility of an implantable active artificial larynx.
Materials and methods
we used intramuscular EMG to measure the stylohyoid and the posterior digastric muscles independently. We also used surface electrodes to measure the submental muscles and provide a basis for comparison. Besides, the swallowing sound measurement method was used to locate the moment the bolus starts to enter the upper esophageal sphincter (UES). That moment defines a temporal limit after which the airway are in danger of aspiration and the temporal evolution of the muscles' is evaluated in comparison to that limit. The onsets and offsets of each muscles were located with a generalized likelihood ratio method, and the UES bolus passage was localized manually after the transformation of the signals with a Teager-Kaiser energy operator. 17 participants were measured, and were asked to perform 4 swallowing tasks and 13 non-swallowing tasks.
Results
we found a strong implication of the stylohyoid for swallowing and mastication. The posterior digastric showed a clear tendency towards swallow-related tasks, and especially swallowing, mastication, open mouth, jaw, and clench teeth. Both muscles provided significant activity before the temporal limit, with a characteristic pattern.
Conclusion
the stylohyoid and the posterior digastric muscles shows a net increase in potential for a detection, compared to the submental muscles, for the feasibility of an implantable active artificial larynx.
{"title":"Stylohyoid and Posterior Digastric Recruitment Pattern Evaluation in Swallowing and Non-swallowing Tasks","authors":"Adrien Mialland , Ihab Atallah , Agnès Bonvilain","doi":"10.1016/j.irbm.2024.100823","DOIUrl":"10.1016/j.irbm.2024.100823","url":null,"abstract":"<div><h3>Objectives</h3><p>Electromyography is one of the few measurement methods that can be implanted, and it has been used in swallowing detection to measure superficial muscles, but has failed to provide satisfactory performances for a real-time detection. Yet, we seek to allow for the feasibility of an implantable active artificial larynx that would protect the airway during swallowing. Therefore, it requires a real-time detection of swallowing through measurements that must provide dedicated and early activity on swallowing, to close the airways soon as possible. In that regard, promising results were published about the stylohyoid and posterior digastric muscles, but no study provided simultaneous and independent measurements. So, this paper aims to evaluate both muscles with intra muscular EMG, in a large set of tasks, to evaluate their recruitment pattern for the feasibility of an implantable active artificial larynx.</p></div><div><h3>Materials and methods</h3><p>we used intramuscular EMG to measure the stylohyoid and the posterior digastric muscles independently. We also used surface electrodes to measure the submental muscles and provide a basis for comparison. Besides, the swallowing sound measurement method was used to locate the moment the bolus starts to enter the upper esophageal sphincter (UES). That moment defines a temporal limit after which the airway are in danger of aspiration and the temporal evolution of the muscles' is evaluated in comparison to that limit. The onsets and offsets of each muscles were located with a generalized likelihood ratio method, and the UES bolus passage was localized manually after the transformation of the signals with a Teager-Kaiser energy operator. 17 participants were measured, and were asked to perform 4 swallowing tasks and 13 non-swallowing tasks.</p></div><div><h3>Results</h3><p>we found a strong implication of the stylohyoid for swallowing and mastication. The posterior digastric showed a clear tendency towards swallow-related tasks, and especially swallowing, mastication, open mouth, jaw, and clench teeth. Both muscles provided significant activity before the temporal limit, with a characteristic pattern.</p></div><div><h3>Conclusion</h3><p>the stylohyoid and the posterior digastric muscles shows a net increase in potential for a detection, compared to the submental muscles, for the feasibility of an implantable active artificial larynx.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"45 2","pages":"Article 100823"},"PeriodicalIF":4.8,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139827724","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}
Pub Date : 2024-02-01DOI: 10.1016/j.irbm.2024.100820
Anna Bicchi, Alessandro Colombo
Objectives
Inertial Measurement Units (IMUs) are a valid alternative to optical tracking systems for human motion capture, but they are subject to several disturbances that limit their accuracy. We aim to improve the accuracy of elbow joint angle estimation from IMU measurements by introducing a novel postprocessing algorithm that uses anatomical constraints and does not require any prior calibration or knowledge of anthropometric parameters.
Materials and Methods
We propose a new error model that addresses sensor misalignment and fusion errors. We use an error state extended Kalman filter (ESEKF) with state constraints to integrate the anatomical constraints. We validate the proposed algorithm by testing it in different scenarios and comparing it with a state-of-the-art optical tracking system.
Results
The research results highlight the superior performance of the proposed method compared with existing techniques. The study demonstrates a significant reduction in errors, particularly in complex arm movements and under strong external disturbances. The results obtained in the three different tested scenarios underscore the robustness and effectiveness of the developed algorithm, reaching half the error committed by the existing calibration-free correction algorithms proposed in the literature.
Conclusions
The developed technique provides highly accurate estimates of joint angles in several challenging real-world scenarios.
{"title":"Improved Estimation of Elbow Flexion Angle from IMU Measurements Using Anatomical Constraints","authors":"Anna Bicchi, Alessandro Colombo","doi":"10.1016/j.irbm.2024.100820","DOIUrl":"10.1016/j.irbm.2024.100820","url":null,"abstract":"<div><h3>Objectives</h3><p>Inertial Measurement Units (IMUs) are a valid alternative to optical tracking systems for human motion capture, but they are subject to several disturbances that limit their accuracy. We aim to improve the accuracy of elbow joint angle estimation from IMU measurements by introducing a novel postprocessing algorithm that uses anatomical constraints and does not require any prior calibration or knowledge of anthropometric parameters.</p></div><div><h3>Materials and Methods</h3><p>We propose a new error model that addresses sensor misalignment and fusion errors. We use an error state extended Kalman filter (ESEKF) with state constraints to integrate the anatomical constraints. We validate the proposed algorithm by testing it in different scenarios and comparing it with a state-of-the-art optical tracking system.</p></div><div><h3>Results</h3><p>The research results highlight the superior performance of the proposed method compared with existing techniques. The study demonstrates a significant reduction in errors, particularly in complex arm movements and under strong external disturbances. The results obtained in the three different tested scenarios underscore the robustness and effectiveness of the developed algorithm, reaching half the error committed by the existing calibration-free correction algorithms proposed in the literature.</p></div><div><h3>Conclusions</h3><p>The developed technique provides highly accurate estimates of joint angles in several challenging real-world scenarios.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"45 1","pages":"Article 100820"},"PeriodicalIF":4.8,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1959031824000010/pdfft?md5=4603b04f7a7d6f3268a7480f4b5a8476&pid=1-s2.0-S1959031824000010-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139482135","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}
Many molecular imaging diagnoses involve comparing two regions of interest (ROIs) in the image or different images. Since the images are obtained by measuring a random phenomenon, such comparisons should be based on a statistical test to ensure reliability. Recent studies have shown that use of the bootstrap approach provides access to the statistical variability of reconstructed values in molecular images. However, although there is general agreement that this increase in information should make diagnosis based on molecular images more reliable, no approach has been proposed in the relevant literature to use bootstrap replicates to enhance the reliability of comparisons of two ROIs. In this paper, we propose to fill this gap by introducing the first statistical test that allows us to compare two sets of pixels/voxels for which bootstrap replicates are available.
Material and methods
After presenting the theoretical basis of this non-parametric statistical test, this article describes how to calculate it in practice. Finally, it proposes two experiments based on quantitative comparisons and expert judgment to assess its relevance.
Results
The results obtained are consistent with expert diagnosis on synthetic data. This validates the relevance of the D-test.
Conclusion
This paper presents the first statistical test to compare two ROIs in reconstructed images for which the statistical variability information is accessible.
目标许多分子成像诊断都需要比较图像或不同图像中的两个感兴趣区(ROI)。由于图像是通过测量随机现象获得的,因此这种比较应基于统计检验以确保可靠性。最近的研究表明,使用引导法可以获得分子图像中重建值的统计变异性。然而,尽管人们普遍认为这种信息的增加应使基于分子图像的诊断更加可靠,但相关文献中还没有提出使用引导复制法来提高两个 ROI 比较的可靠性。在本文中,我们建议通过引入第一个统计检验来填补这一空白,该检验允许我们对两组像素/体素进行比较,而这两组像素/体素都有引导复制。最后,文章提出了两个基于定量比较和专家判断的实验来评估其相关性。结果所获得的结果与合成数据的专家诊断结果一致。结论本文提出了第一个统计检验方法,用于比较重建图像中的两个 ROI(可获得统计变异性信息)。
{"title":"Comparing Two Bootstrapped Regions in Images: The D-Test","authors":"Florentin Kucharczak , Inés Couso , Olivier Strauss , Denis Mariano-Goulart","doi":"10.1016/j.irbm.2024.100821","DOIUrl":"10.1016/j.irbm.2024.100821","url":null,"abstract":"<div><h3>Objectives</h3><p>Many molecular imaging diagnoses involve comparing two regions of interest (ROIs) in the image or different images. Since the images are obtained by measuring a random phenomenon, such comparisons should be based on a statistical test to ensure reliability. Recent studies have shown that use of the bootstrap approach provides access to the statistical variability of reconstructed values in molecular images. However, although there is general agreement that this increase in information should make diagnosis based on molecular images more reliable, no approach has been proposed in the relevant literature to use bootstrap replicates to enhance the reliability of comparisons of two ROIs. In this paper, we propose to fill this gap by introducing the first statistical test that allows us to compare two sets of pixels/voxels for which bootstrap replicates are available.</p></div><div><h3>Material and methods</h3><p>After presenting the theoretical basis of this non-parametric statistical test, this article describes how to calculate it in practice. Finally, it proposes two experiments based on quantitative comparisons and expert judgment to assess its relevance.</p></div><div><h3>Results</h3><p>The results obtained are consistent with expert diagnosis on synthetic data. This validates the relevance of the D-test.</p></div><div><h3>Conclusion</h3><p>This paper presents the first statistical test to compare two ROIs in reconstructed images for which the statistical variability information is accessible.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"45 1","pages":"Article 100821"},"PeriodicalIF":4.8,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1959031824000022/pdfft?md5=8064e78cbcbc3824ad2b83a752908c7b&pid=1-s2.0-S1959031824000022-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139499353","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}
Pub Date : 2024-02-01DOI: 10.1016/j.irbm.2024.100822
Ho-Gun Ha , Jinhan Lee , Gu-Hee Jung , Jaesung Hong , HyunKi Lee
Objective
Constructing a 3D model from its 2D images, known as 2D-3D reconstruction, is a challenging task. Conventionally, a parametric 3D model such as a statistical shape model (SSM) is deformed by matching the shapes in its 2D images through a series of processes, including calibration, 2D-3D registration, and optimization for nonrigid deformation. To overcome this complicated procedure, a streamlined 2D-3D reconstruction using a single X-ray image is developed in this study.
Methods
We propose 2D-3D reconstruction of a femur by adopting a deep neural network, where the deformation parameters in the SSM determining the 3D shape of the femur are predicted from a single X-ray image using a deep transfer-learning network. For learning the network from distinct features representing the 3D shape information in the X-ray image, a specific proximal part of the femur from a unique X-ray pose that allows accurate prediction of the 3D femur shape is designated and used to train the network. Then, the corresponding proximal/distal 3D femur model is reconstructed from only the single X-ray image acquired at the designated position.
Results
Experiments were conducted using actual X-ray images of a femur phantom and X-ray images of a patient's femur derived from computed tomography to verify the proposed method. The average errors of the reconstructed 3D shape of the proximal and distal femurs from the proposed method were 1.20 mm and 1.08 mm in terms of root mean squared point-to-surface distance, respectively.
Conclusion
The proposed method presents an innovative approach to simplifying the 2D-3D reconstruction using deep neural networks that exhibits performance compatible with the existing methodologies.
目标从二维图像构建三维模型(称为二维三维重建)是一项具有挑战性的任务。传统上,统计形状模型(SSM)等参数化三维模型是通过校准、二维三维配准和非刚性变形优化等一系列过程匹配其二维图像中的形状进行变形的。为了克服这一复杂的过程,本研究开发了一种使用单张 X 射线图像的简化 2D-3D 重建方法。我们建议采用深度神经网络对股骨进行 2D-3D 重建,其中,决定股骨 3D 形状的 SSM 中的变形参数将使用深度迁移学习网络从单张 X 射线图像中进行预测。为了从 X 射线图像中代表三维形状信息的不同特征中学习网络,需要指定能够准确预测股骨三维形状的独特 X 射线姿势中的特定股骨近端部分,并将其用于训练网络。然后,仅从指定位置获取的单张 X 光图像中重建相应的股骨近端/远端三维模型。结果实验使用股骨模型的实际 X 光图像和从计算机断层扫描中获取的患者股骨的 X 光图像来验证所提出的方法。根据所提方法重建的股骨近端和远端三维形状的平均误差(点到面距离的均方根值)分别为 1.20 毫米和 1.08 毫米。
{"title":"2D-3D Reconstruction of a Femur by Single X-Ray Image Based on Deep Transfer Learning Network","authors":"Ho-Gun Ha , Jinhan Lee , Gu-Hee Jung , Jaesung Hong , HyunKi Lee","doi":"10.1016/j.irbm.2024.100822","DOIUrl":"10.1016/j.irbm.2024.100822","url":null,"abstract":"<div><h3>Objective</h3><p>Constructing a 3D model from its 2D images, known as 2D-3D reconstruction, is a challenging task. Conventionally, a parametric 3D model such as a statistical shape model (SSM) is deformed by matching the shapes in its 2D images through a series of processes, including calibration, 2D-3D registration, and optimization for nonrigid deformation. To overcome this complicated procedure, a streamlined 2D-3D reconstruction using a single X-ray image is developed in this study.</p></div><div><h3>Methods</h3><p>We propose 2D-3D reconstruction of a femur by adopting a deep neural network, where the deformation parameters in the SSM determining the 3D shape of the femur are predicted from a single X-ray image using a deep transfer-learning network. For learning the network from distinct features representing the 3D shape information in the X-ray image, a specific proximal part of the femur from a unique X-ray pose that allows accurate prediction of the 3D femur shape is designated and used to train the network. Then, the corresponding proximal/distal 3D femur model is reconstructed from only the single X-ray image acquired at the designated position.</p></div><div><h3>Results</h3><p><span>Experiments were conducted using actual X-ray images of a femur phantom and X-ray images of a patient's femur derived from computed tomography to verify the proposed method. The average errors of the reconstructed 3D shape of the proximal and </span>distal femurs from the proposed method were 1.20 mm and 1.08 mm in terms of root mean squared point-to-surface distance, respectively.</p></div><div><h3>Conclusion</h3><p>The proposed method presents an innovative approach to simplifying the 2D-3D reconstruction using deep neural networks that exhibits performance compatible with the existing methodologies.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"45 1","pages":"Article 100822"},"PeriodicalIF":4.8,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139498895","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}
Pub Date : 2024-02-01DOI: 10.1016/j.irbm.2023.100819
Benoit De La Fourniere , Manon Basso , Morgane Dairien , Cyril Huissoud , Cyril Lafon , Gil Dubernard , Marion Cortet , David Melodelima , Charles-André Philip
Obstetric gynaecology, as a field in which diagnostic ultrasound has quickly found its place, especially in screening for birth defects and monitoring pregnancies, is also a speciality in which therapeutic ultrasound is used extensively.
In pelvic gynaecology, HIFU therapy is used more specifically in two types of uterine conditions: fibroids and adenomyosis. In both cases, studies have shown significant efficacy in reducing pain and bleeding associated with the conditions, secondarily (more moderately but still significantly) reducing the volume of the lesions. Impact on fertility has yet to be demonstrated.
In rectosigmoid endometriosis, clinical data indicates good treatment feasibility and significant efficacy on digestive and gynaecologic pain symptoms, as well as on quality of life, with no associated severe complications. Should the efficacy of HIFU in treating endometriosis be confirmed over time, it could revolutionise the management of digestive endometriosis by offering a valid minimally invasive alternative to rectosigmoid surgery.
In senology, where visible scars have a particularly significant psychological impact, several teams have been researching the use of HIFU for the destruction of some types of breast lesions (fibroadenomas and breast tumours).
In obstetrics, HIFU could become a treatment of choice for vascular anomalies such as twin-to-twin transfusion syndrome in twin pregnancies. Promising studies are also available regarding the use of HIFU in the treatment of post-partum placenta accreta.
{"title":"Current and Future Role of HIFU in Obstetric Gynaecology","authors":"Benoit De La Fourniere , Manon Basso , Morgane Dairien , Cyril Huissoud , Cyril Lafon , Gil Dubernard , Marion Cortet , David Melodelima , Charles-André Philip","doi":"10.1016/j.irbm.2023.100819","DOIUrl":"10.1016/j.irbm.2023.100819","url":null,"abstract":"<div><p><span>Obstetric </span>gynaecology<span>, as a field in which diagnostic ultrasound has quickly found its place, especially in screening for birth defects and monitoring pregnancies, is also a speciality in which therapeutic ultrasound is used extensively.</span></p><p><span>In pelvic gynaecology, HIFU therapy is used more specifically in two types of uterine conditions: fibroids and </span>adenomyosis. In both cases, studies have shown significant efficacy in reducing pain and bleeding associated with the conditions, secondarily (more moderately but still significantly) reducing the volume of the lesions. Impact on fertility has yet to be demonstrated.</p><p><span>In rectosigmoid endometriosis<span>, clinical data indicates good treatment feasibility and significant efficacy on digestive and gynaecologic </span></span>pain symptoms<span>, as well as on quality of life, with no associated severe complications. Should the efficacy of HIFU in treating endometriosis be confirmed over time, it could revolutionise the management of digestive endometriosis by offering a valid minimally invasive alternative to rectosigmoid surgery.</span></p><p>In senology<span>, where visible scars have a particularly significant psychological impact, several teams have been researching the use of HIFU for the destruction of some types of breast lesions (fibroadenomas and breast tumours).</span></p><p><span>In obstetrics, HIFU could become a treatment of choice for vascular anomalies such as twin-to-twin transfusion syndrome in twin pregnancies. Promising studies are also available regarding the use of HIFU in the treatment of post-partum </span>placenta accreta.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"45 1","pages":"Article 100819"},"PeriodicalIF":4.8,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139410106","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}
Pub Date : 2023-12-27DOI: 10.1016/j.irbm.2023.100818
David Lemonnier , Ikram Mezghani , Georgios Theocharidis , Brandon J. Sumpio , Samuel K. Sia , Aristidis Veves , Parag V. Chitnis
Background
Monitoring of wound healing progression is critical due to the risk of infection, non-healing wounds, or evolution towards a chronic state. Tissue vasculature is one of the most representative features reflecting healing status. This study explores the feasibility of vascular ultrasound imaging of open wounds and the extraction of vascular-related features in a longitudinal study.
Material and methods
C57BL/6 mice received a 1 cm-diameter full-thickness wound on their dorsum and were imaged using ultrasound from the surgical day (Day 0) to 25 days post-wounding. The high frame rate, plane waves acquisitions with a 15 MHz transducer were postprocessed with Singular Value Decomposition (SVD) filtering to provide vascular information.
Results
Vascularity Index (VI) calculations showed an increased vascular signal in the wound from Day 2 post-wounding and were significantly higher from day 6 to day 10 post-wounding compared to Day 0 (p<0.05). VI values were back to the basal level after 3 weeks. In comparison, no significant difference was highlighted for the vascular signal in the peri-wound area.
Conclusions
These results show that vascular ultrasound imaging can be applied to track vascular changes of open wounds during the healing process. This approach may also be extended to other types of wounds for detecting early signs likely to cause complications.
{"title":"Contrast-Free High Frame Rate Ultrasound Imaging for Assessment of Vascular Remodeling During Wound Healing","authors":"David Lemonnier , Ikram Mezghani , Georgios Theocharidis , Brandon J. Sumpio , Samuel K. Sia , Aristidis Veves , Parag V. Chitnis","doi":"10.1016/j.irbm.2023.100818","DOIUrl":"10.1016/j.irbm.2023.100818","url":null,"abstract":"<div><h3>Background</h3><p>Monitoring of wound healing progression is critical due to the risk of infection, non-healing wounds, or evolution towards a chronic state. Tissue vasculature is one of the most representative features reflecting healing status. This study explores the feasibility of vascular ultrasound imaging of open wounds and the extraction of vascular-related features in a longitudinal study.</p></div><div><h3>Material and methods</h3><p>C57BL/6 mice received a 1 cm-diameter full-thickness wound on their dorsum and were imaged using ultrasound from the surgical day (Day 0) to 25 days post-wounding. The high frame rate, plane waves acquisitions with a 15 MHz transducer were postprocessed with Singular Value Decomposition (SVD) filtering to provide vascular information.</p></div><div><h3>Results</h3><p>Vascularity Index (VI) calculations showed an increased vascular signal in the wound from Day 2 post-wounding and were significantly higher from day 6 to day 10 post-wounding compared to Day 0 (p<0.05). VI values were back to the basal level after 3 weeks. In comparison, no significant difference was highlighted for the vascular signal in the peri-wound area.</p></div><div><h3>Conclusions</h3><p>These results show that vascular ultrasound imaging can be applied to track vascular changes of open wounds during the healing process. This approach may also be extended to other types of wounds for detecting early signs likely to cause complications.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"45 1","pages":"Article 100818"},"PeriodicalIF":4.8,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1959031823000672/pdfft?md5=a990e9fa0f9e6fcd12e5b1ae999b89ef&pid=1-s2.0-S1959031823000672-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139051904","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}
Pub Date : 2023-11-28DOI: 10.1016/j.irbm.2023.100817
Dong Chan Park , Dae Woo Park , Dae Woo Park
Background: Wall shear stress (WSS) plays an indispensable role in shaping the trajectory of vascular diseases such as atherosclerosis and aneurysms. Specific patterns of low and oscillating WSS are implicated in the promotion of plaque accumulation, whereas elevated WSS levels are associated with inflammatory responses, the synthesis of metalloproteases, and eventual rupture of plaque. Therefore, an accurate, noninvasive quantification of local hemodynamics and WSS is integral to the precise diagnosis of vascular disorders. Ultrasound imaging has emerged as a favored modality for measuring the WSS owing to its noninvasive nature, ease of access, and user-friendly interface. However, existing reviews primarily focus on the assessment of blood flow characteristics, including velocity profiles and volume flow rates. To the best of our knowledge, thus far, no review has been dedicated to ultrasound imaging techniques for the measurement of in vivo WSS.
Purpose: This study aimed to perform a thorough overview of current and emerging ultrasound imaging methodologies tailored for in vivo WSS quantification.
Basic procedure: The fundamental principles of WSS measurements were explored, and various techniques—-Doppler ultrasound imaging, ultrasound imaging velocimetry, and speckle decorrelation—-that are employed for WSS assessment were studied.
Main findings: These techniques show promise for clinical applications by facilitating noninvasive and accurate WSS measurements of vital parameters concerning vascular physiology. Further investigations are warranted to overcome specific challenges, such as the accurate detection of vascular wall boundaries.
Conclusions: The findings of this review are anticipated to contribute to advancements in ultrasound imaging techniques for in vivo WSS measurements.
{"title":"Ultrasound Imaging for Wall Shear Stress Measurements","authors":"Dong Chan Park , Dae Woo Park , Dae Woo Park","doi":"10.1016/j.irbm.2023.100817","DOIUrl":"https://doi.org/10.1016/j.irbm.2023.100817","url":null,"abstract":"<div><p><strong>Background</strong><span><span>: Wall shear stress<span><span> (WSS) plays an indispensable role in shaping the trajectory of vascular diseases such as atherosclerosis and aneurysms. Specific patterns of low and oscillating WSS are implicated in the promotion of plaque accumulation, whereas elevated WSS levels are associated with inflammatory responses, the synthesis of </span>metalloproteases<span>, and eventual rupture of plaque. Therefore, an accurate, noninvasive quantification of local hemodynamics and WSS is integral to the precise diagnosis of vascular disorders. </span></span></span>Ultrasound imaging<span> has emerged as a favored modality for measuring the WSS owing to its noninvasive nature, ease of access, and user-friendly interface. However, existing reviews primarily focus on the assessment of blood flow characteristics, including velocity profiles and volume flow rates. To the best of our knowledge, thus far, no review has been dedicated to ultrasound imaging techniques for the measurement of </span></span><em>in vivo</em> WSS.</p><p><strong>Purpose</strong>: This study aimed to perform a thorough overview of current and emerging ultrasound imaging methodologies tailored for <em>in vivo</em> WSS quantification.</p><p><strong>Basic procedure</strong><span>: The fundamental principles of WSS measurements were explored, and various techniques—-Doppler ultrasound imaging, ultrasound imaging velocimetry, and speckle decorrelation—-that are employed for WSS assessment were studied.</span></p><p><strong>Main findings</strong><span>: These techniques show promise for clinical applications by facilitating noninvasive and accurate WSS measurements of vital parameters concerning vascular physiology. Further investigations are warranted to overcome specific challenges, such as the accurate detection of vascular wall boundaries.</span></p><p><strong>Conclusions</strong>: The findings of this review are anticipated to contribute to advancements in ultrasound imaging techniques for <em>in vivo</em> WSS measurements.</p></div>","PeriodicalId":14605,"journal":{"name":"Irbm","volume":"45 1","pages":"Article 100817"},"PeriodicalIF":4.8,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138454006","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}