Methodist DeBakey cardiovascular journal最新文献_第8页

Halo Sign on Temporal Artery Ultrasound Aids in Prompt Diagnosis of Giant Cell Arteritis. 颞动脉超声晕征有助于巨细胞动脉炎的及时诊断。

Methodist DeBakey cardiovascular journal Pub Date : 2025-10-17 eCollection Date: 2025-01-01 DOI: 10.14797/mdcvj.1635

Levente Laszlofy, Adam Bardoczi, Diana Husvethova, Maria de la Garza Bravo, Zsolt Garami

{"title":"Halo Sign on Temporal Artery Ultrasound Aids in Prompt Diagnosis of Giant Cell Arteritis.","authors":"Levente Laszlofy, Adam Bardoczi, Diana Husvethova, Maria de la Garza Bravo, Zsolt Garami","doi":"10.14797/mdcvj.1635","DOIUrl":"10.14797/mdcvj.1635","url":null,"abstract":"Giant cell arteritis (GCA) is the most common form of systemic vasculitis in individuals over 50 years old. The most feared complication of GCA is permanent blindness, which can be prevented by prompt diagnosis and immediate treatment. For many years, temporal artery biopsy (TAB) was considered the gold standard for diagnosing GCA. However, TAB can produce considerable false negatives if unaffected arterial segments are sampled. Several studies have shown that temporal artery ultrasound (TAUS)-a noninvasive, inexpensive, and quick diagnostic procedure-offers great sensitivity and enables efficient and prompt diagnosis. Additionally, it helps in identifying the diseased arterial segments sampled with TAB. For these reasons, TAUS is an appropriate complement or possible alternative to biopsy. However, the sequence in which these modalities are performed is crucial: performing the TAB first causes occlusion of the temporal artery, making it impossible to properly conduct the TAUS afterwards. Here, we present a case of a 70-year-old woman who showed symptoms indicative of GCA. In this case, the TAB was delayed twice, thereby allowing TAUS to be performed first and promptly. The presence of a halo sign on the TAUS confirmed GCA, which was later validated via TAB. This case highlights the advantages and benefits of conducting the less-invasive TAUS before the TAB.","PeriodicalId":39207,"journal":{"name":"Methodist DeBakey cardiovascular journal","volume":"21 1","pages":"100-105"},"PeriodicalIF":0.0,"publicationDate":"2025-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12533418/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145329981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Infective Endocarditis Involving the Chiari Network. 累及Chiari网络的感染性心内膜炎。

Methodist DeBakey cardiovascular journal Pub Date : 2025-10-16 eCollection Date: 2025-01-01 DOI: 10.14797/mdcvj.1678

Dharmikkumar Jadvani, Aakash Rana, Jack Xu

引用次数: 0

Cinematic Rendering Using Photon Counting CT Angiography of a Repaired Complex Aortic Dissection with Type IIIa Endoleak. 光子计数CT血管造影对修复的复杂主动脉夹层合并IIIa型内漏的电影渲染。

Methodist DeBakey cardiovascular journal Pub Date : 2025-10-07 eCollection Date: 2025-01-01 DOI: 10.14797/mdcvj.1700

Seyed Ali Forouzannia, Muhammad Umair

引用次数: 0

From Data to Decision: A Comprehensive Review of Real-Time Analytics and Smart Technologies in the Surgical Suite. 从数据到决策：外科套件中实时分析和智能技术的全面回顾。

Methodist DeBakey cardiovascular journal Pub Date : 2025-10-07 eCollection Date: 2025-01-01 DOI: 10.14797/mdcvj.1658

Jacob B Watson, Carlos Quintero-Peña, Anna C Moise, Alan B Lumsden, Stuart J Corr

{"title":"From Data to Decision: A Comprehensive Review of Real-Time Analytics and Smart Technologies in the Surgical Suite.","authors":"Jacob B Watson, Carlos Quintero-Peña, Anna C Moise, Alan B Lumsden, Stuart J Corr","doi":"10.14797/mdcvj.1658","DOIUrl":"10.14797/mdcvj.1658","url":null,"abstract":"Advancements in intraoperative data acquisition and analytics are transforming surgical care by integrating diverse information streams into cohesive, real-time decision-support systems. This review explores the use of physiological monitoring, medical imaging, instrument motion data, surgical video, and environmental metrics within next-generation operating rooms. Traditional vital sign monitoring is now augmented by wearable and minimally invasive technologies capable of continuously capturing respiratory rate, heart rate, skin temperature, and hemodynamic parameters such as stroke volume, cardiac output, systemic vascular resistance, and mean arterial pressure. Real-time imaging modalities including intraoperative cone-beam computed tomography, 3-dimensional fluoroscopy with image fusion, ultrasound, and Doppler systems provide dynamic anatomical context to guide precision interventions. Concurrently, computer vision and artificial intelligence tools are being applied to surgical video and kinematic data to identify procedural phases, assess performance, and recognize critical events. Predictive analytics models, trained on large procedural datasets, can anticipate adverse outcomes like excessive blood loss or prolonged operative time, enhancing intraoperative awareness. Smart operating room platforms integrate these multimodal data sources into centralized interfaces, enabling synchronized documentation, workflow coordination, and team communication. Moreover, emerging concepts such as patient-specific surgical simulation and digital twin models offer personalized guidance and outcome forecasting. Despite these advances, challenges remain in managing data overload, achieving system interoperability, ensuring regulatory compliance, and safeguarding privacy.","PeriodicalId":39207,"journal":{"name":"Methodist DeBakey cardiovascular journal","volume":"21 5","pages":"5-15"},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12513365/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145281378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Innovations in MRI and AI Integration for Vascular Plaque Evaluation and Overview of Deep Learning Techniques in Peripheral Vascular Disease. 血管斑块评估中MRI和AI集成的创新以及周围血管疾病中深度学习技术的概述。

Methodist DeBakey cardiovascular journal Pub Date : 2025-10-07 eCollection Date: 2025-01-01 DOI: 10.14797/mdcvj.1642

Eniko Pomozi, Carlos Quintero-Peña, Judit Csore, Alexander Crichton, Guangyu Wang, Christof Karmonik, Trisha Roy

{"title":"Innovations in MRI and AI Integration for Vascular Plaque Evaluation and Overview of Deep Learning Techniques in Peripheral Vascular Disease.","authors":"Eniko Pomozi, Carlos Quintero-Peña, Judit Csore, Alexander Crichton, Guangyu Wang, Christof Karmonik, Trisha Roy","doi":"10.14797/mdcvj.1642","DOIUrl":"10.14797/mdcvj.1642","url":null,"abstract":"Recent years have brought increasing development of artificial intelligence (AI)-based approaches aimed at optimizing clinical decision-making in vascular medicine. Models increasingly facilitate diagnostic interpretation, treatment planning, and prognosis prediction, particularly in complex cases of peripheral artery disease (PAD). In parallel, a major effort to integrate deep learning methods and imaging modalities has led to new opportunities for using anatomical data to enhance diagnostic capabilities. Among these modalities, magnetic resonance imaging (MRI) is gaining popularity as a noninvasive, nonionizing imaging tool with excellent soft tissue contrast and plaque characterization capabilities. Unlike conventional imaging, MRI can provide information on vascular composition-eg, soft tissue, fibrosis, and calcification-without exposing PAD patients to ionizing radiation and thus is an especially desirable modality for serial monitoring and long-term follow-up of PAD. In this review, we present an overview of the current state of AI integration with MRI in vascular imaging, with a particular focus on PAD. We also introduce several contributions from our research group, with our uniquely designed MRI protocol that incorporates ultrashort echo time and multicontrast sequences to improve vascular tissue characterization in PAD. These high-resolution datasets have served as the foundation for the development of deep learning-based classification systems, including both supervised and unsupervised models. Specifically, we describe how variational autoencoders and hybrid scoring systems have been used to phenotype PAD lesions and predict procedural factors such as guidewire crossability. Our work represents a step toward more objective, reproducible, and clinically interpretable tools that bridge high-fidelity imaging with scalable, AI-driven analysis.","PeriodicalId":39207,"journal":{"name":"Methodist DeBakey cardiovascular journal","volume":"21 5","pages":"71-80"},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12513357/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145281419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vascular Robotics in the Era of Intelligent Surgery. 智能手术时代的血管机器人。

Methodist DeBakey cardiovascular journal Pub Date : 2025-10-07 eCollection Date: 2025-01-01 DOI: 10.14797/mdcvj.1699

Stuart J Corr, Alan B Lumsden

引用次数: 0

Robotic-Assisted Vascular Surgery: A Clinical Perspective. 机器人辅助血管手术：临床视角。

Methodist DeBakey cardiovascular journal Pub Date : 2025-10-07 eCollection Date: 2025-01-01 DOI: 10.14797/mdcvj.1657

Jacob Watson, Alan Lumsden, Charudatta Bavare

引用次数: 0

Pathways. 通路。

Methodist DeBakey cardiovascular journal Pub Date : 2025-10-07 eCollection Date: 2025-01-01 DOI: 10.14797/mdcvj.1627

Philip Alexander, Aryan Rezvani

{"title":"Pathways.","authors":"Philip Alexander, Aryan Rezvani","doi":"10.14797/mdcvj.1627","DOIUrl":"https://doi.org/10.14797/mdcvj.1627","url":null,"abstract":"Philip Alexander, MD, is a native Texan, retired physician, and accomplished musician and artist. After 41 years as an internal medicine physician, Dr. Phil retired from his practice in College Station in 2016. A lifelong musician and former music professor, he often performs as an oboe soloist for the Brazos Valley Symphony Orchestra. He began exploring visual art in 1980, evolving from pencil sketches-including an official White House portrait of President Ronald Reagan-to the computer-generated drawings featured in this journal. His images, which first appeared in this journal in the spring of 2012, are his own original creations. This issue of the journal also includes an artistic submission by Aryan Rezvani, MD, a graduate of the Texas A&M School of Medicine, who completed his clerkship rotations at Houston Methodist Hospital. He is now a second-year internal medicine resident at the Baylor College of Medicine. He writes, \"I drew this portrait of my younger brother, who was just recently accepted to medical school, starting the path to physicianhood.\" If you would like to see your art published in the Methodist DeBakey Cardiovascular Journal, submit your creation online at journal.houstonmethodist.org as a \"Humanities\" entry.","PeriodicalId":39207,"journal":{"name":"Methodist DeBakey cardiovascular journal","volume":"21 5","pages":"104-106"},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12513354/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145281329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robotic Systems in Cardiovascular Interventions: Evolving Platforms and the Path Forward. 心血管干预中的机器人系统：不断发展的平台和前进的道路。

Methodist DeBakey cardiovascular journal Pub Date : 2025-10-07 eCollection Date: 2025-01-01 DOI: 10.14797/mdcvj.1652

Srikanth Reddy Mandhumula, M Ali Tavallaei

{"title":"Robotic Systems in Cardiovascular Interventions: Evolving Platforms and the Path Forward.","authors":"Srikanth Reddy Mandhumula, M Ali Tavallaei","doi":"10.14797/mdcvj.1652","DOIUrl":"10.14797/mdcvj.1652","url":null,"abstract":"Interventional radiology is increasingly turning to robotic solutions to overcome limitations of manual catheterization, such as operator fatigue, procedural complications, and radiation exposure. Despite rapid advancements in robotic technologies, existing platforms face barriers to widespread adoption due to complex hardware, nonintuitive controls, and limited modularity, thereby affecting sterility, the absence of true force feedback, heavy reliance on fluoroscopy, high costs, and a lack of truly disruptive innovation. In effect, many systems function more as extensions of the surgeon's hand rather than as disruptive leaps. This review surveys 19 commercial and emerging robotic systems categorized based on the methods and technologies used, with a discussion of benefits and limitations for various specific indications. Integration of imaging, haptics, and economic considerations are also discussed. This comprehensive synthesis aims to offer insights into current capabilities, limitations, and potential future directions for researchers and engineers to advance this domain.","PeriodicalId":39207,"journal":{"name":"Methodist DeBakey cardiovascular journal","volume":"21 5","pages":"16-34"},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12513367/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145281342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Technical Skills Assessment in Robotic Surgery: A Review of Recent Methods. 机器人手术技术技能评估：最新方法综述。

Methodist DeBakey cardiovascular journal Pub Date : 2025-10-07 eCollection Date: 2025-01-01 DOI: 10.14797/mdcvj.1667

Jacob L Laughlin, Lianne R Johnson, Bhargav Ghanekar, Marcia K O'Malley

{"title":"Technical Skills Assessment in Robotic Surgery: A Review of Recent Methods.","authors":"Jacob L Laughlin, Lianne R Johnson, Bhargav Ghanekar, Marcia K O'Malley","doi":"10.14797/mdcvj.1667","DOIUrl":"10.14797/mdcvj.1667","url":null,"abstract":"Robot-assisted minimally invasive surgery (RAMIS) offers numerous benefits over traditional open surgery, resulting in greater prevalence of use and range of approved procedures. The proliferation of RAMIS has highlighted a need for effective, robust, and objective methods for assessing robotic surgical skills. Traditionally, assessment has relied on expert observation using structured grading rubrics. Although validated and widely used, this method is also resource intensive and subject to reviewer bias. In response, recent work has explored the potential for more robust assessment methods, including the development of skill-based metrics, crowd-sourced assessment techniques, and automated evaluation systems. This review summarizes recent developments in robotic surgical technical skill assessment, focusing on studies using the da Vinci platform. Assessment methods are grouped into four categories: structured rubrics, skill-based metrics, crowd-sourcing techniques, and automated assessment models. Trends of note include adaptation of established rubrics for specific areas of specialty, the implementation of deep learning models for automated assessment, and a move to integrate crowd-sourcing platforms for efficient and inexpensive evaluation. While traditional grading rubric structures remain the standard, multilevel assessment strategies and objective feedback systems are gaining traction. Future work should seek to integrate task- and movement-based assessment into procedure-level evaluations to create more robust and generalizable models for assessment. These advances show a shift towards data-driven and objective assessment methods, which could improve surgical training and patient outcomes.","PeriodicalId":39207,"journal":{"name":"Methodist DeBakey cardiovascular journal","volume":"21 5","pages":"49-59"},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12513346/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145281392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0