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Volume and densities of chronic subdural haematoma obtained from CT imaging as predictors of postoperative recurrence: a prospective study of 107 operated patients

2012/12/10 by Milo Stanišić, John Hald, Inge Rasmussen +7
Medicine · #Epilepsy research and treatment #Neurosurgical Procedures and Complications #Traumatic Brain Injury and Neurovascular Disturbances

paper · pdf · doi:10.1007/s00701-012-1565-0

openalex publication_date 2012/12/10 · crossref created 2012/12/10 · crossref issued 2012/12/11 · crossref published 2012/12/11 · crossref published-online 2012/12/11 · crossref published-print 2013/02/01 · crossref deposited 2025/04/23 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29 · crossref indexed 2026/07/29

Abstract

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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