Literature DB >> 19149364

Brain CT scan indexes in the normal pressure hydrocephalus: predictive value in the outcome of patients and correlation to the clinical symptoms.

Emmanuel M Chatzidakis1, George Barlas, Nicolas Condilis, Dimos Bouramas, Demetrios Anagnostopoulos, Zacharias Volikas, Konstantinos Simopoulos.   

Abstract

The aim of this study is to find out the correlation of the ventricular size of the brain, as it is estimated using brain computed tomography (CT) scan indexes in patients with normal pressure hydrocephalus (NPH), to: a) the clinical symptoms, and b) the results of cerebrospinal fluid (CSF) shunting procedures. We looked for any predictive value in the estimation of brain CT scan indexes, in patients as above, in whom a shunt is going to be placed. It is well known that it is very difficult to decide who is going to improve after shunting. We studied 40 cases of patients with the diagnosis "NPH" in whom the ventricular shunts were placed. Every symptom (motor disturbance, deficit of memory, incontinence) was separately evaluated preoperatively. The outcome of shunting was also evaluated and the patients were graded. The following CT scan indexes were estimated from the preoperative CT scans of the brain in every case: the ventricle-brain ratio (VBR), the bi-caudate and bi-frontal ratios, the third ventricle-Sylvian fissure (3V-SF) ratio, and the four largest cortical gyri. The method we have used for statistics is "one way analysis of variance", correlating the CT scan indexes to the symptoms of the patients preoperatively, and the outcome of them postoperatively. The main conclusion is that the size of the lateral ventricles of the brain preoperatively is not correlated to the outcome after CSF shunting surgery, but it is correlated to the symptoms of NPH preoperatively.

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Year:  2008        PMID: 19149364

Source DB:  PubMed          Journal:  Ann Ital Chir        ISSN: 0003-469X            Impact factor:   0.766


  4 in total

1.  Study factors influencing ventricular enlargement in schizophrenia: a 20 year follow-up meta-analysis.

Authors:  Angelo Sayo; Robin G Jennings; John Darrell Van Horn
Journal:  Neuroimage       Date:  2011-07-20       Impact factor: 6.556

2.  Estimation of the lateral ventricles volumes from a 2D image and its relationship with cerebrospinal fluid flow.

Authors:  Bader Chaarani; Chaarani Bader; Cyrille Capel; Capel Cyrille; Jadwiga Zmudka; Zmudka Jadwiga; Joel Daouk; Daouk Joel; Anthony Fichten; Catherine Gondry-Jouet; Gondry-Jouet Catherine; Roger Bouzerar; Bouzerar Roger; Olivier Balédent; Balédent Olivier
Journal:  Biomed Res Int       Date:  2013-09-16       Impact factor: 3.411

3.  Evaluation of an artificial intelligent hydrocephalus diagnosis model based on transfer learning.

Authors:  Weike Duan; Jinsen Zhang; Liang Zhang; Zongsong Lin; Yuhang Chen; Xiaowei Hao; Yixin Wang; Hongri Zhang
Journal:  Medicine (Baltimore)       Date:  2020-07-17       Impact factor: 1.817

Review 4.  Hydrocephaly Analysis Supported by Computerized Tomography and Nuclear Magnetic Resonance.

Authors:  Tong Zhang; Yawei Zhou; Guohua Su; Dianfeng Shi; Subash C B Gopinath; Thangavel Lakshmipriya; Shujing Li
Journal:  J Anal Methods Chem       Date:  2019-09-30       Impact factor: 2.193

  4 in total

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