Turkish Neurosurgery
THE PREDICTOR ROLE OF THE AQUEDUCT CEREBROSPINAL FLUID FLOW ON ENDOSCOPIC THIRD VENTRICULOSTOMY: EXPLICATION ON ASSUMPTION PHYSICAL MODEL
ihsan Anik1, Yonca Anik2, Burak Cabuk1, Aykutlu Dana3, Aykut Gokbel1, Dilek Ozdamar4, Musa Cırak5, Savas Ceylan1
1Kocaeli University, Neurosurgery, Kocaeli,
2Kocaeli University, Radiology, Kocaeli,
3Bilkent University, Materials Science and Nanotechnology, Ankara,
4Kocaeli University, Anesthesiology and Reanimation , Kocaeli,
5Bakırkoy Sadi Konuk E.A.H, Neurosurgery, Istanbul,
DOI: 10.5137/1019-5149.JTN.22169-17.2

Aim:This study aimed to evaluate the cerebrospinal fluid (CSF) flow dynamics in the aqueductus sylvii of patients with obstructive hydrocephalus who underwent endoscopic third ventriculostomy (ETV) and to predict ventriculostomy patency via aqueduct flow measurements. Material and Methods:Twenty-four patients with obstructive hydrocephalus caused by primary aqueduct stenosis who underwent ETV were included in the study. All the patients underwent conventional and cine magnetic resonance imaging before and after treatment. The flow of CSF in the aqueduct of Sylvius and prepontine cistern was assessed, and the diameter of the third ventricle was also measured. Increase in the aqueduct flow velocity after a successful ETV was supported by the assumption physical model that highlights a possible mechanism that explains the clinical findings. Results:The flow pattern and velocity in the prepontine cistern and aqueduct were normal in 17 out of 24 patients who responded to ETV clinically. However, seven patients who did not respond to ETV had an abnormal flow pattern in both the prepontine cistern and aqueduct.Conclusion:The flow pattern in the aqueduct was normalised and velocity was increased compared with those of preoperative values after a successful ETV. The flow of CSF in the prepontine cistern is routinely used for ventriculostomy patency assessment. In addition, aqueduct measurements may be useful in predicting ventriculostomy patency. The physical model provides valuable insights on a possible mechanism that affected the experimental data.

Corresponding author : ihsan Anik