The lack of relationship between intracranial pressure and cerebral ventricle indices based on brain computed tomography in patients undergoing ventriculoperitoneal shunt

Kim, Eugene; Lim, Young-Jin; Park, Han-Seul; Kim, Sung-Kwon; Jeon, Young-Tae; Hwang, Jeong Yeon; Lee, Yun-Seok; Park, Hee Pyoung

doi:10.1007/s00701-014-2295-2

Cited by 7 publications

(7 citation statements)

References 25 publications

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“…Cerebrospinal fluid opening pressure did not correlate with ventriculomegaly, CSF volume or CSF flow. In accordance with our results, the relationship between ICP, also considered as CSF opening pressure, and cerebral ventricle indices was shown as unreliable in pediatric and adult patients with communicating hydrocephalus and INPH [ 12 – 14 ]. Also, the assessment of changes in ventricular size gave no reliable prediction of changes in ICP [ 13 ].…”

Section: Discussionsupporting

confidence: 89%

“…Excess build-up of CSF leads to an increase in ICP, which can be equated to CSF opening pressure. The relationship between size of cerebral ventricles and ICP has previously been investigated in adults and children with hydrocephalus, and conventional knowledge says that, with exception of some acute cases, brain imaging is rarely helpful in guessing value of ICP quantitatively [ 11 – 14 ]. We recently published an algorithm to aid in the diagnosis and management of hydrocephalus in MPS patients, considering neurologic deterioration, Evans’ index, width of the third ventricle, callosal angle, CSF opening pressure and the presence of craniocervical stenosis [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

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Correlation of CSF flow using phase-contrast MRI with ventriculomegaly and CSF opening pressure in mucopolysaccharidoses

Corte

Souza

Anés

et al. 2017

Fluids Barriers CNS

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BackgroundVery little is known about the incidence and prevalence of hydrocephalus in patients with mucopolysaccharidoses (MPS). The biggest challenge is to distinguish communicating hydrocephalus from ventricular dilatation secondary to brain atrophy, because both conditions share common clinical and neuroradiological features. The main purpose of this study is to assess the relationship between ventriculomegaly, brain and cerebrospinal fluid (CSF) volumes, aqueductal and cervical CSF flows, and CSF opening pressure in MPS patients, and to provide potential biomarkers for abnormal CSF circulation.MethodsForty-three MPS patients (12 MPS I, 15 MPS II, 5 MPS III, 9 MPS IV A and 2 MPS VI) performed clinical and developmental tests, and T1, T2, FLAIR and phase-contrast magnetic resonance imaging (MRI) followed by a lumbar puncture with the CSF opening pressure assessment. For the analysis of MRI variables, we measured the brain and CSF volumes, white matter (WM) lesion load, Evans’ index, third ventricle width, callosal angle, dilated perivascular spaces (PVS), craniocervical junction stenosis, aqueductal and cervical CSF stroke volumes, and CSF glycosaminoglycans concentration.ResultsAll the scores used to assess the supratentorial ventricles enlargement and the ventricular CSF volume presented a moderate correlation with the aqueductal CSF stroke volume (ACSV). The CSF opening pressure did not correlate either with the three measures of ventriculomegaly, or the ventricular CSF volume, or with the ACSV. Dilated PVS showed a significant association with the ventriculomegaly, ventricular CSF volume and elevated ACSV.ConclusionsIn MPS patients ventriculomegaly is associated with a severe phenotype, increased cognitive decline, WM lesion severity and enlarged PVS. The authors have shown that there are associations between CSF flow measurements and measurements related to CSF volumetrics. There was also an association of volumetric measurements with the degree of dilated PVS.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Correlation of CSF flow using phase-contrast MRI with ventriculomegaly and CSF opening pressure in mucopolysaccharidoses

Corte

Souza

Anés

et al. 2017

Fluids Barriers CNS

View full text Add to dashboard Cite

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“…The correlation coefficient formula was used to determine the sample size for hypothesis testing [ 16 ]. In a previous study [ 8 ], a correlation coefficient of 0.543, alpha value of 0.05, and beta value of 0.1 were employed for estimation. As a result, a sample size of at least 32 patients was required for validation.…”

Section: Methodsmentioning

confidence: 99%

“…Ventricular indexes composed of the Evans index, third ventricular index, cella media index, and ventricular score have been studied for ICP-level association [ 8 , 9 ]. Kim et al [ 8 ] studied patients with communicating, non-communicating, or normal pressure HCP and found that the third ventricular index had a negative correlation with ICP (r=−0.395, P<0.01) in non-communicating HCP, while Eide et al identified a non-significant relationship between ventricular indexes and ICP [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Comparison of intracranial pressure prediction in hydrocephalus patients among linear, non-linear, and machine learning regression models in Thailand

Trakulpanitkit,

Tunthanathip

2023

ACC

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Background: Hydrocephalus (HCP) is one of the most significant concerns in neurosurgical patients because it can cause increased intracranial pressure (ICP), resulting in mortality and morbidity. To date, machine learning (ML) has been helpful in predicting continuous outcomes. The primary objective of the present study was to identify the factors correlated with ICP, while the secondary objective was to compare the predictive performances among linear, non-linear, and ML regression models for ICP prediction. Methods: A total of 412 patients with various types of HCP who had undergone ventriculostomy was retrospectively included in the present study, and intraoperative ICP was recorded following ventricular catheter insertion. Several clinical factors and imaging parameters were analyzed for the relationship with ICP by linear correlation. The predictive performance of ICP was compared among linear, non-linear, and ML regression models. Results: Optic nerve sheath diameter (ONSD) had a moderately positive correlation with ICP (r=0.530, P<0.001), while several ventricular indexes were not statistically significant in correlation with ICP. For prediction of ICP, random forest (RF) and extreme gradient boosting (XGBoost) algorithms had low mean absolute error and root mean square error values and high R2 values compared to linear and non-linear regression when the predictive model included ONSD and ventricular indexes. Conclusions: The XGBoost and RF algorithms are advantageous for predicting preoperative ICP and establishing prognoses for HCP patients. Furthermore, ML-based prediction could be used as a non-invasive method.

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“…During exposure to muscle activity, an individual may be susceptible to differences in brain activation, with return of blood to the brain, and constant changes in blood pressure. [3][4][5] A study conducted with US military marines following a high-volume military training course, found that many military personnel had acute pain in the upper extremities, increased mean arterial pressure, and elevated serum muscle enzymes. Each student had followed a vigorous military training exercise program.…”

Section: Introductionmentioning

confidence: 99%

Preliminaryes studies of variability of intracranial pressure in military personnel undergoing combat tactics training in Brazilian air force

Bezerra¹

2018

AAOAJ

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The noninvasive intracranial pressure system can detect micrometric alterations in cranial volume. Alterations in the circulatory and respiratory systems, increased brain tissue, or problems in the production/reabsorption relationship of cerebrospinal fluid change the ICP auto regulation. The increase in pressure and blood flow during combat tactics can substantially increase intracranial pressure (ICP). The objective of this study was to evaluate and compare the ICP waveform characteristics in Military Personnel undergoing combat tactics training, in three different body positions: supine, seated and standing. Lysis of amplitude, heart rate, time between P1 and P2 peak, and P1:P2 ratio showed no statistical difference. This was also the case following morphological analysis of the ICP waveforms for the three different body positions. These initial findings form part of an ongoing, larger study. It can be observed that, although not statistically different, there is a tendency of a small variation in the variables analyzed, when ICP waveforms in the three body positions of the volunteers were compared.

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The lack of relationship between intracranial pressure and cerebral ventricle indices based on brain computed tomography in patients undergoing ventriculoperitoneal shunt

Cited by 7 publications

References 25 publications

Correlation of CSF flow using phase-contrast MRI with ventriculomegaly and CSF opening pressure in mucopolysaccharidoses

Correlation of CSF flow using phase-contrast MRI with ventriculomegaly and CSF opening pressure in mucopolysaccharidoses

Comparison of intracranial pressure prediction in hydrocephalus patients among linear, non-linear, and machine learning regression models in Thailand

Preliminaryes studies of variability of intracranial pressure in military personnel undergoing combat tactics training in Brazilian air force

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