The degree of stenosis is the most common criterion used to assess the severity of lower limb peripheral arterial disease. Two-dimensional ultrasound (US) imaging is the first-line diagnostic method for investigating lesions, but it cannot render a 3-D map of the entire lower limb vascular tree required for therapy planning. We propose a prototype 3-D US imaging robotic system that can potentially reconstruct arteries from the iliac in the lower abdomen down to the popliteal behind the knee. A realistic multi-modal vascular phantom was first conceptualized to evaluate the system's performance. Geometric accuracies were assessed in surface reconstruction and cross-sectional area in comparison to computed tomography angiography (CTA). A mean surface map error of 0.55 mm was recorded for 3-D US vessel representations, and cross-sectional lumen areas were congruent with CTA geometry. In the phantom study, stenotic lesions were properly localized and severe stenoses up to 98.3% were evaluated with -3.6 to 11.8% errors. The feasibility of the in vivo system in reconstructing the normal femoral artery segment of a volunteer and detecting stenoses on a femoral segment of a patient was also investigated and compared with that of CTA. Together, these results encourage future developments to increase the robot's potential to adequately represent lower limb vessels and clinically evaluate stenotic lesions for therapy planning and recurrent non-invasive and non-ionizing follow-up examinations.
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http://dx.doi.org/10.1016/j.ultrasmedbio.2013.08.010 | DOI Listing |
Aging Clin Exp Res
January 2025
Department of Physical Medicine and Rehabilitation, Kansai Medical University, Osaka, Japan.
Background: Falls on stairs are a major cause of severe injuries among older adults, with stair descent posing significantly greater risks than ascent. Variations in stair descent phenotypes may reflect differences in physical function and biomechanical stability, and their identification may prevent falls.
Aims: This study aims to classify stair descent phenotypes in older adults and investigate the biomechanical and physical functional differences between these phenotypes using hierarchical cluster analysis.
J Mol Histol
January 2025
Department of Anatomy and Cell Biology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Tumor necrosis factor-α (TNF-α) induces a multitude of actions and consequences in bone and cartilage resorption and immune response augmentation. In this research, we aimed to investigate the effects of TNF-α on osteogenesis parameters in newborn mice. Experimental research was conducted on 42 pregnant mice, dividing into seven groups as follows: control (no injection), vehicle 1 (PBS injection on 7-9th pregnancy days (PD)), vehicle 2 (PBS injection during pregnancy), experimental 1 (injection of 10 ng/kg of TNF-α on 7-9th PD), experimental 2 (injection of 100 ng/kg of TNF-α on 7-9th PD), experimental 3 (injection of 10 ng/kg of TNF-α during pregnancy) and experimental 4 (injection of 100 ng/kg of TNF-α during pregnancy).
View Article and Find Full Text PDFPhysiol Rep
February 2025
Department of Biomedical Engineering, Toyo University, Saitama, Japan.
The present study aims to examine the effect of 4 h of continuous sitting on cerebral endothelial function, which is a crucial component of cerebral blood flow regulation. We hypothesized that 4 h of sitting may impair cerebral endothelial function similarly to how it affects lower limb vasculature. Thirteen young, healthy participants were instructed to remain seated for 4 h without moving their lower limbs.
View Article and Find Full Text PDFPhysiol Rep
February 2025
Motion and Exercise Science, University of Stuttgart, Stuttgart, Germany.
The maintenance of an appropriate ratio of body fat to muscle mass is essential for the preservation of health and performance, as excessive body fat is associated with an increased risk of various diseases. Accurate body composition assessment requires precise segmentation of structures. In this study we developed a novel automatic machine learning approach for volumetric segmentation and quantitative assessment of MRI volumes and investigated the efficacy of using a machine learning algorithm to assess muscle, subcutaneous adipose tissue (SAT), and bone volume of the thigh before and after a strength training.
View Article and Find Full Text PDFMol Genet Genomic Med
February 2025
Department of Orthopeadic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China.
Background: Krabbe disease (KD; globoid cell leucodystrophy) is a rare autosomal recessive lipid storage disorder that affects the white matter of the peripheral and central nervous. Late-onset KD is less frequently diagnosed and often presents with milder symptoms, making accurate diagnosis challenging, especially when distinguishing it from peripheral neuropathy. In this report, we present two cases of late-onset KD in a Chinese family.
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