Literature DB >> 1849918

Image-directed Doppler ultrasound: a screening technique for patients at high risk to develop deep vein thrombosis.

J J Cronan1, J A Froehlich, G S Dorfman.   

Abstract

Hip fracture patients typify a population at high risk to develop deep vein thrombosis (DVT). Recently ultrasound has been used successfully to diagnose DVT when clinical suspicion exists. In this prospective study, 88 hip fracture patients asymptomatic for DVT were screened serially with compression ultrasound to assess the development of thrombus within the femoral or popliteal systems. Contrast venography was employed as a control. Twelve of the 76 patients (16%) completing the study were noted by ultrasound to have a clot. Venography confirmed a clot in each case and detected no additional femoral or popliteal clot. The possibility of utilizing ultrasound to screen additional high risk groups for DVT should be investigated based on the encouraging results of this series.

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Year:  1991        PMID: 1849918     DOI: 10.1002/jcu.1870190302

Source DB:  PubMed          Journal:  J Clin Ultrasound        ISSN: 0091-2751            Impact factor:   0.910


  3 in total

1.  The accuracy of color Doppler flow imaging for the detection of symptomatic deep venous thrombosis in Chinese patients.

Authors:  G J Zhang; I Adachi; Z Duan; Q Zhang; R Guo; L Tang; C Gong; S He
Journal:  Surg Today       Date:  1996       Impact factor: 2.549

Review 2.  A systematic review of the accuracy of ultrasound in the diagnosis of deep venous thrombosis in asymptomatic patients.

Authors:  Behrouz Kassaï; Jean-Pierre Boissel; Michel Cucherat; Sandrine Sonie; Nirav R Shah; Alain Leizorovicz
Journal:  Thromb Haemost       Date:  2004-04       Impact factor: 5.249

3.  The rate of missed diagnosis of lower-limb DVT by ultrasound amounts to 50% or so in patients without symptoms of DVT: A meta-analysis.

Authors:  Yuhong Zhang; Haifa Xia; Yaxin Wang; Lin Chen; Shengnan Li; Idrees Ali Hussein; Yan Wu; You Shang; Shanglong Yao; Ruofei Du
Journal:  Medicine (Baltimore)       Date:  2019-09       Impact factor: 1.817

  3 in total

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