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Technical note: Enhanced radiosurgical planning for cavernous sinus tumors using T1 SPACE sequences with Motion-Sensitized Driven Equilibrium (MSDE).
J Clin Neurosci
January 2025
Department of Neurological Surgery and Rosa Ella Burkhardt Brain Tumor & Neuro-Oncology Center, Cleveland Clinic, Cleveland, OH, USA; Cleveland Clinic Lerner College of Medicine of Case Western Reserve University. Electronic address:
Background And Objective: Radiosurgery can serve as a primary, adjuvant, or salvage treatment modality for cavernous sinus tumors (CST), providing high tumor control. However, particularly with cavernous sinus expansion, there may be insufficient distance from the optic apparatus to perform radiosurgery safely. The internal carotid artery adjacent to the distal dural ring (ICAddr), when enhancing similarly to the CST, can be difficult to delineate, and can lead to over-contouring of target volume near the optic nerve and therefore increasing the risk of radiation-induced optic toxicity.
View Article and Find Full Text PDFUltrasonographic Measurement of Common Carotid Artery Wall Pulse Dynamics and Longitudinal Motion - Method Validation and a Novel Parameter Ratio.
Ultrasound Med Biol
March 2025
Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden.
Objectives: The enormous burden that cardiovascular diseases put on individuals and societies warrants reliable biomarkers of disease risk to optimize disease prevention. We studied longitudinal movement (LMov) in arterial walls using ultrasound of the common carotid artery (CCA). We believe that LMov could be a sensitive biomarker of cardiovascular health and in this study, we evaluate the intra-observer repeatability and inter-observer precision of our method.
View Article and Find Full Text PDFVisual detection of pulselessness by carotid artery sonography - A prospective observational study among medical students.
Resuscitation
January 2025
Department of Anesthesiology and Intensive Care Medicine, University Hospital of Giessen and Marburg, Campus Marburg, Marburg, Germany. Electronic address:
Aim: This cross-sectional study aimed to determine whether medical students with little to no ultrasound experience could correctly distinguish between 'pulsation present' and 'no pulsation present' after a short introductory video on the subject using ultrasound videos of the common carotid artery (CCA).
Methods: Ultrasound videos (B-mode, M-mode, and Color Doppler) of pulsatile (systolic blood pressure 70-80 mmHg) and non-pulsatile (cardiopulmonary bypass surgery, clamped aorta) CCA were created. These were demonstrated to the medical students for a period of ten seconds - corresponding to the duration of the manual pulse palpation during cardiopulmonary resuscitation (CPR).
The global effect of aortic coarctation on carotid and renal pulsatile hemodynamics.
PLoS One
December 2024
Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, California, United States of America.
Coarctation of the aorta (CoA) is a congenital disease characterized by the narrowing of the aorta, typically the descending portion after the left subclavian artery. If left untreated, by the time individuals reach 50 years of age, the mortality rate can reach 90%. Previous studies have highlighted the adverse effects of CoA on local hemodynamics.
View Article and Find Full Text PDFFast inter-frame motion correction in contrast-free ultrasound quantitative microvasculature imaging using deep learning.
Sci Rep
October 2024
Department of Radiology, Mayo Clinic College of Medicine and Science, Rochester, MN, 55905, USA.
Article Synopsis
- Contrast-free ultrasound imaging can effectively assess both benign and malignant lesions, but motion from nearby structures, like the carotid artery, significantly impacts image quality in the thyroid region.* -
- This study presents a low-complex deep learning network that reduces inter-frame motion artifacts in ultrasound imaging, which enhances the visual quality of tumor microvessels.* -
- Validation results reveal substantial improvements in image correlation metrics, with the proposed method showing a 20% increase in performance for in-vivo data and achieving real-time motion correction with a dramatic reduction in processing time.*
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