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Background: Cardiovascular diseases are the first cause of death globally: an estimated 17.5 million people died in 2012. By combining the benefits of magnetic navigation and ultrasound (US) imaging, the authors proposed a robotic platform (i.e. the MicroVAST platform) for intravascular medical procedures.
Methods: A 3D imaging US-based tracking algorithm is implemented for the navigation of a magnetic-dragged soft-tethered device. Tests were performed to evaluate the algorithm in terms of tracking error and precision of locomotion.
Results: The 3D imaging US-based algorithm tracked the endovascular device with an error of 6.4 ± 2.8 pixels and a mean displacement between the endovascular device and the preoperative path of 13.6 ± 4.5 mm (computational time of 12.2 ± 1.5 ms and 30.7 ± 6.1 matched features).
Conclusions: The MicroVAST platform includes innovative solutions for navigation allowing for an assisted magnetic locomotion of medical devices in the cardiovascular district by combining a 3D imaging US-based tracking algorithm with pre-operative data.
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http://dx.doi.org/10.1080/24699322.2016.1185467 | DOI Listing |
Patient Prefer Adherence
August 2025
Allergy and Asthma Network, Fairfax, VA, USA.
Purpose: For the development of novel and efficacious drugs and improvement of patients' quality of life, the involvement of patient stakeholders in drug development is essential. This study was conducted among patients with asthma to understand their unmet needs with current treatments, and expectations from new treatments.
Methods: Sanofi collaborated with the Allergy & Asthma Network (AAN), a US-based patient advocacy group and their patient community.
Clin Trials
July 2025
Inserm Ethics Committee, Paris, France.
Thousands of healthy volunteers enroll in Phase I clinical trials annually, often motivated by financial gain. Some engage in "over-volunteering"-participating in multiple studies simultaneously or ignoring washout periods. While serious adverse effects are rare, the experimental nature of Phase I trials, which for "first-in-human" studies are designed to trigger adverse events under controlled conditions, makes risks uncertain and unpredictable-a concern that might be compounded by concealed trial participation, which may further increase the likelihood of adverse events.
View Article and Find Full Text PDFIEEE Trans Biomed Eng
June 2025
Objective: Accurate and real-time needle tip tracking is critical in image-guided prostate biopsy procedures. Ultrasound (US)-based tracking methods, though, are afflicted by suboptimal image quality, low needle visibility, and dynamic, variable appearance of the needle tip. Therefore, this task requires a lightweight and robust approach, capable of handling complex US environments in real-time.
View Article and Find Full Text PDFMed Image Anal
October 2025
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States. Electronic address:
Purpose: Recent advancements in machine learning (ML) allow for rapid analysis of complex image data, which supports the use of ultrasound (US)-based solutions in interventional procedures. These solutions often require large, labeled datasets that can be time-consuming to curate and subject to inter- and intra-labeler variability. This work presents a practical method for automated labeling of US images by transferring labels from 3D diagnostic images (e.
View Article and Find Full Text PDFJAMA Psychiatry
July 2025
Hampshire and Isle of Wight Healthcare National Health Service Foundation Trust, Southampton, United Kingdom.
Importance: Representation of race and ethnicity in randomized clinical trials (RCTs) is critical for understanding treatment efficacy across populations with different racial and ethnic backgrounds.
Objective: To examine race and ethnicity representation and reporting across RCTs of pharmacotherapies for mental disorders.
Data Sources: PubMed (Medline), Embase (Ovid), APA PsycInfo, and Web of Science were searched until March 1, 2024, to retrieve network meta-analyses including RCTs of pharmacotherapies for International Statistical Classification of Diseases and Related Health Problems, Tenth Revision mental disorders.