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Background: Pulmonary embolism (PE) can be a life-threatening condition. Endovascular treatment is emerging as a promising treatment to restore hemodynamic stability and reverse right ventricular (RV) dysfunction in PE; however, more studies are needed to elucidate the effects on the right ventricle after endovascular treatment. This analysis reports the effects of computer assisted vacuum thrombectomy on RV function.
Methods: Eligible patients for the single-arm, prospective, international, multicenter STRIKE-PE (A Prospective, Multicenter Study of the Indigo Aspiration System Seeking to Evaluate the Long-Term Safety and Outcomes of Treating Pulmonary Embolism) cohort study are adults with acute PE with symptoms for ≤14 days and an RV/left ventricular ratio of ≥0.9 who are treated with computer assisted vacuum thrombectomy. Reported here are periprocedural and RV outcomes of the initial 300 patients of STRIKE-PE, to provide insights into effects on RV function after computer assisted vacuum thrombectomy.
Results: Patients were classified with high-risk (5.7%), intermediate-high-risk (84.7%), or intermediate-low-risk (9.7%) PE. Median thrombectomy time was 30 minutes. Mean on-table systolic pulmonary artery pressure decreased from 51.7 mm Hg to 41.3 mm Hg, a 19.1% reduction (<0.001). The change in mean RV/left ventricular ratio from baseline to 48 hours postprocedure (primary effectiveness end point) was a decrease from 1.40 to 0.99, a 26.8% reduction (<0.001). Clinical parameters and echocardiographic measures of right heart strain improved from baseline to 48 hours postprocedure (<0.001). The rate of composite major adverse events within 48 hours postprocedure (primary safety end point) was 2.0%. Median Borg dyspnea scale at rest decreased from 4.0 at baseline to 0.5 at discharge (<0.001).
Conclusions: This interim analysis demonstrates that computer assisted vacuum thrombectomy safely and expeditiously improves hemodynamic status, RV function, and perceived dyspnea.
Registration: Url: https://clinicaltrials.gov; Unique Identifier: NCT04798261.
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http://dx.doi.org/10.1161/JAHA.124.039975 | DOI Listing |
PLoS One
September 2025
Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Volumetric modulated arc therapy (VMAT) for lung cancer involves complex multileaf collimator (MLC) motion, which increases sensitivity to interplay effects with tumour motion. Current dynamic conformal arc methods address this issue but may limit the achievable dose distribution optimisation compared with standard VMAT. This study examined the clinical utility of a VMAT technique with monitor unit limits (VMATliMU) to mimic conformal arc delivery and reduce interplay effects while maintaining plan quality.
View Article and Find Full Text PDFIEEE Trans Med Imaging
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Mammography is a primary method for early screening, and developing deep learning-based computer-aided systems is of great significance. However, current deep learning models typically treat each image as an independent entity for diagnosis, rather than integrating images from multiple views to diagnose the patient. These methods do not fully consider and address the complex interactions between different views, resulting in poor diagnostic performance and interpretability.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
September 2025
Institute of Computer Science, Friedrich-Schiller-Universität, Fürstengraben 1, 07743, Jena, Thuringia, Germany.
Purpose: Cerebral aneurysms are blood-filled bulges that form at weak points in blood vessel walls, and their rupture can lead to life-threatening consequences. Given the high risk associated with these aneurysms, thorough examination and analysis are essential for determining appropriate treatment. While existing tools such as ANEULYSIS and its web-based counterpart WEBANEULYSIS provide interactive means for analyzing simulated aneurysm data, they lack support for collaborative analysis, which is crucial for enhancing interpretation and improving treatment decisions in medical team meetings.
View Article and Find Full Text PDFNanomicro Lett
September 2025
Nanomaterials & System Lab, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju, 63243, Republic of Korea.
Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human-machine interfaces for real-time health monitoring, clinical diagnosis, and robotic applications. Nevertheless, it remains a critical challenge to simultaneously achieve desirable mechanical and electrical performance along with biocompatibility, adhesion, self-healing, and environmental robustness with excellent sensing metrics. Herein, we report a multifunctional, anti-freezing, self-adhesive, and self-healable organogel pressure sensor composed of cobalt nanoparticle encapsulated nitrogen-doped carbon nanotubes (CoN CNT) embedded in a polyvinyl alcohol-gelatin (PVA/GLE) matrix.
View Article and Find Full Text PDFJ Cancer Res Clin Oncol
September 2025
Cancer Treatment and Nuclear Cardiology Department, Al Azhar University, Cairo, Egypt.
Background: High-dose-rate (HDR) brachytherapy is essential in the treatment of locally advanced cervical cancer. While Iridium-192 (Ir-192) is commonly used, its short half-life imposes logistical and financial constraints, particularly in low- and middle-income countries (LMICs). Cobalt-60 (Co-60), with a longer half-life and lower operational costs, is a viable alternative.
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