Literature DB >> 27837185

Quantitative estimation of a ratio of intracranial cerebrospinal fluid volume to brain volume based on segmentation of CT images in patients with extra-axial hematoma.

Ha Son Nguyen1, Mohit Patel1, Luyuan Li1, Shekar Kurpad1, Wade Mueller1.   

Abstract

Background Diminishing volume of intracranial cerebrospinal fluid (CSF) in patients with space-occupying masses have been attributed to unfavorable outcome associated with reduction of cerebral perfusion pressure and subsequent brain ischemia. Objective The objective of this article is to employ a ratio of CSF volume to brain volume for longitudinal assessment of space-volume relationships in patients with extra-axial hematoma and to determine variability of the ratio among patients with different types and stages of hematoma. Patients and methods In our retrospective study, we reviewed 113 patients with surgical extra-axial hematomas. We included 28 patients (age 61.7 +/- 17.7 years; 19 males, nine females) with an acute epidural hematoma (EDH) ( n = 5) and subacute/chronic subdural hematoma (SDH) ( n = 23). We excluded 85 patients, in order, due to acute SDH ( n = 76), concurrent intraparenchymal pathology ( n = 6), and bilateral pathology ( n = 3). Noncontrast CT images of the head were obtained using a CT scanner (2004 GE LightSpeed VCT CT system, tube voltage 140 kVp, tube current 310 mA, 5 mm section thickness) preoperatively, postoperatively (3.8 ± 5.8 hours from surgery), and at follow-up clinic visit (48.2 ± 27.7 days after surgery). Each CT scan was loaded into an OsiriX (Pixmeo, Switzerland) workstation to segment pixels based on radiodensity properties measured in Hounsfield units (HU). Based on HU values from -30 to 100, brain, CSF spaces, vascular structures, hematoma, and/or postsurgical fluid were segregated from bony structures, and subsequently hematoma and/or postsurgical fluid were manually selected and removed from the images. The remaining images represented overall brain volume-containing only CSF spaces, vascular structures, and brain parenchyma. Thereafter, the ratio between the total number of voxels representing CSF volume (based on values between 0 and 15 HU) to the total number of voxels representing overall brain volume was calculated. Results CSF/brain volume ratio varied significantly during the course of the disease, being the lowest preoperatively, 0.051 ± 0.032; higher after surgical evacuation of hematoma, 0.067 ± 0.040; and highest at follow-up visit, 0.083 ± 0.040 ( p < 0.01). Using a repeated regression analysis, we found a significant association ( p < 0.01) of the ratio with age (odds ratio, 1.019; 95% CI, 1.009-1.029) and type of hematoma (odds ratio, 0.405; 95% CI, 0.303-0.540). Conclusion CSF/brain volume ratio calculated from CT images has potential to reflect dynamics of intracranial volume changes in patients with space-occupying mass.

Entities:  

Keywords:  CSF volume; epidural hematoma; image segmentation; subdural hematoma

Mesh:

Year:  2016        PMID: 27837185      PMCID: PMC5564336          DOI: 10.1177/1971400916678227

Source DB:  PubMed          Journal:  Neuroradiol J        ISSN: 1971-4009


  24 in total

1.  The Monro-Kellie hypothesis: applications in CSF volume depletion.

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5.  CSF Volumetric Analysis for Quantification of Cerebral Edema After Hemispheric Infarction.

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6.  Automatic segmentation of ventricular cerebrospinal fluid from ischemic stroke CT images.

Authors:  L E Poh; V Gupta; A Johnson; R Kazmierski; W L Nowinski
Journal:  Neuroinformatics       Date:  2012-04

Review 7.  Surgical management of acute epidural hematomas.

Authors:  M Ross Bullock; Randall Chesnut; Jamshid Ghajar; David Gordon; Roger Hartl; David W Newell; Franco Servadei; Beverly C Walters; Jack E Wilberger
Journal:  Neurosurgery       Date:  2006-03       Impact factor: 4.654

8.  Quantitative analysis of computed tomography images and early detection of cerebral edema for pediatric traumatic brain injury patients: retrospective study.

Authors:  Hakseung Kim; Gwang-dong Kim; Byung C Yoon; Keewon Kim; Byung-Jo Kim; Young Hun Choi; Marek Czosnyka; Byung-Mo Oh; Dong-Joo Kim
Journal:  BMC Med       Date:  2014-10-22       Impact factor: 8.775

9.  Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching.

Authors:  Wenan Chen; Rebecca Smith; Soo-Yeon Ji; Kevin R Ward; Kayvan Najarian
Journal:  BMC Med Inform Decis Mak       Date:  2009-11-03       Impact factor: 2.796

10.  Density measurements with computed tomography in patients with extra-axial hematoma can quantitatively estimate a degree of brain compression.

Authors:  Ha Son Nguyen; Luyuan Li; Mohit Patel; Wade Mueller
Journal:  Neuroradiol J       Date:  2016-07-06
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  4 in total

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4.  Thresholds for identifying pathological intracranial pressure in paediatric traumatic brain injury.

Authors:  Saeed Kayhanian; Adam M H Young; Ross L Ewen; Rory J Piper; Mathew R Guilfoyle; Joseph Donnelly; Helen M Fernandes; Matthew Garnett; Peter Smielewski; Marek Czosnyka; Shruti Agrawal; Peter J Hutchinson
Journal:  Sci Rep       Date:  2019-03-05       Impact factor: 4.379

  4 in total

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