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  • 1.
    Lindström, Stefan B
    et al.
    Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, Faculty of Science & Engineering.
    Uhlin, Fredrik
    Linköping University, Department of Medical and Health Sciences, Division of Drug Research. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Nephrology. Department of Biomedical Engineering, Technomedicum, Tallinn University of Technology, Tallinn, Estonia.
    Bjarnegård, Niclas
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping.
    Gylling, Micael
    Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Nephrology.
    Nilsson, Kamilla
    Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping.
    Svensson, Christina
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping.
    Yngman-Uhlin, Pia
    Linköping University, Department of Medical and Health Sciences, Division of Nursing Science. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Local Health Care Services in West Östergötland, Research & Development Unit in Local Health Care.
    Länne, Toste
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Thoracic and Vascular Surgery.
    Computer-Aided Evaluation of Blood Vessel Geometry From Acoustic Images2018In: Journal of ultrasound in medicine, ISSN 0278-4297, E-ISSN 1550-9613, Vol. 37, no 4, p. 1025-1031Article in journal (Refereed)
    Abstract [en]

    A method for computer-aided assessment of blood vessel geometries based on shape-fitting algorithms from metric vision was evaluated. Acoustic images of cross sections of the radial artery and cephalic vein were acquired, and medical practitioners used a computer application to measure the wall thickness and nominal diameter of these blood vessels with a caliper method and the shape-fitting method. The methods performed equally well for wall thickness measurements. The shape-fitting method was preferable for measuring the diameter, since it reduced systematic errors by up to 63% in the case of the cephalic vein because of its eccentricity.

  • 2.
    Zachrisson, Helene
    et al.
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping.
    Svensson, Christina
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping.
    Dremetsika, Asimina
    Linköping University, Department of Clinical and Experimental Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Rheumatology.
    Eriksson, Per
    Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Rheumatology.
    An extended high-frequency ultrasound protocol for detection of vessel wall inflammation.2018In: Clinical Physiology and Functional Imaging, ISSN 1475-0961, E-ISSN 1475-097X, Vol. 38, no 4, p. 586-594Article in journal (Refereed)
    Abstract [en]

    OBJECTIVE: The aim of this study was to evaluate an extended protocol of the large vessels using high-frequency duplex ultrasound (DUS) for detection of vessel wall inflammation.

    METHODS: Fifty-eight patients performed a DUS examination where arteritis could not be excluded. All DUS examinations were performed using ACUSON S2000 TM ultrasound system (Siemens Medical Solutions USA, Inc.). High-frequency linear transducers were used (18L6 MHz, 9L4MHz) or curve linear for the aortic arch (6C2 MHz). Carotid, vertebral, central neck arteries (subclavian, axillary, innominate) arteries, aortic arch and femoral arteries were studied. Circumferential, homogenous wall thickening, with or without a hyperechogenic stripe lining the innermost layer, were regarded as typical signs of arteritis. Intima-media thickness (IMT) was measured in the patients and a normal control group. The latest clinical updated diagnosis was assessed at least 6 months after DUS.

    RESULTS: The DUS findings showed normal vessels (n = 14), arteritis and atherosclerosis (n = 13), atherosclerosis (n = 15) and arteritis (n = 16). The latter group had a significant increased IMT in the common femoral artery and the common carotid artery (mean 1·0 ±  SD 0·3 mm versus 0·6 ± 0·2 mm in the normal group (n = 37), P<0·00001, 1·2 ± 0·5 mm versus 0·8 ± 0·2 mm in the normal group (n = 40), P<0·00001). In the groups with sonographic signs implying arteritis (n = 29), 20 patients had a clinical diagnosis of arteritis, whereas eight patients had another main diagnosis such as malignancy/other inflammatory or infectious disease complicated by inflammation of the vessel wall. One patient had multiple diagnoses and was not possible to classify.

    CONCLUSION: An extended ultrasound protocol for central neck and leg arteries could be of value for diagnosis of arteritis. In case of atypical vessel wall inflammation, other main diagnoses should be considered.

  • 3.
    Zachrisson, Helene
    et al.
    Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping. Linköping University, Faculty of Medicine and Health Sciences.
    Svensson, Christina
    Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping.
    Lassvik, C
    Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping.
    Eriksson, Per
    Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Rheumatology.
    An extended High frequency ultrasound protocol for detection of vessel wall inflammation.2018Conference paper (Refereed)
1 - 3 of 3
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