Volume and densities of chronic subdural haematoma obtained from CT imaging as predictors of postoperative recurrence: a prospective study of 107 operated patients
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  • 作者:Milo Stani?i? (1)
    John Hald (2)
    Inge Andre Rasmussen (3)
    Are Hugo Pripp (4)
    Jugoslav Ivanovi? (1)
    Frode Kolstad (1)
    Jarle Sundseth (1)
    Mark Züchner (1)
    Karl-Fredrik Lindegaard (1) (5)
  • 关键词:Chronic subdural haematoma ; Computerised tomography ; Densities ; Multiple regression ; Recurrence ; Volume
  • 刊名:Acta Neurochirurgica
  • 出版年:2013
  • 出版时间:February 2013
  • 年:2013
  • 卷:155
  • 期:2
  • 页码:323-333
  • 全文大小:402KB
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  • 作者单位:Milo Stani?i? (1)
    John Hald (2)
    Inge Andre Rasmussen (3)
    Are Hugo Pripp (4)
    Jugoslav Ivanovi? (1)
    Frode Kolstad (1)
    Jarle Sundseth (1)
    Mark Züchner (1)
    Karl-Fredrik Lindegaard (1) (5)

    1. Department of Neurosurgery, Oslo University Hospital, Nydalen, Po. Box 4950, 0424, Oslo, Norway
    2. Department of Radiology, Oslo University Hospital, Oslo, Norway
    3. Intervention Centre, Oslo University Hospital, Oslo, Norway
    4. Unit of Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
    5. Faculty of Medicine, University of Oslo, Oslo, Norway
文摘
Background Chronic subdural haematoma (CSDH) is a common entity in neurosurgery with a considerable postoperative recurrence rate. Computerised tomography (CT) scanning remains the most important diagnostic test for this disorder. The aim of this study was to characterise the relationship between the recurrence of CSDH after treatment with burr-hole irrigation and closed-system drainage technique and CT scan features of these lesions to assess whether CT findings can be used to predict recurrence. Methods We investigated preoperative and postoperative CT scan features and recurrence rate of 107 consecutive adult surgical cases of CSDH and assessed any relationship with univariate and multivariate regression analyses. Results Seventeen patients (15.9?%) experienced recurrence of CSDH. The preoperative haematoma volume, the isodense, hyperdense, laminar and separated CT densities and the residual total haematoma cavity volume on the 1st postoperative day after removal of the drainage were identified as radiological predictors of recurrence. If the preoperative haematoma volume was under 115?ml and the residual total haematoma cavity volume postoperatively was under 80?ml, the probability of no recurrence was very high (94.4?% and 97.4?% respectively). Conclusions These findings from CT imaging may help to identify patients at risk for postoperative recurrence.
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