Predictors of pre-resection hydrocephalus in posterior cranial fossa tumors: development of a predictive scoring model

Brain tumors located in the posterior cranial fossa frequently lead to hydrocephalus. However, few investigations have delineated factors predicting preoperative hydrocephalus. This study aimed to identify risk factors for hydrocephalus prior to tumor resection in the posterior cranial fossa and to develop a predictive scoring model. We reviewed 421 patients with posterior cranial fossa tumors, stratifying them into groups with (n = 160, 38%) and without (n = 261, 62%) hydrocephalus on initial neuroimaging. Demographic, radiographic, and craniometric variables were collected. Univariate and multivariable logistic regression analyses were performed, and odds ratios with 95% confidence intervals were determined. Factors that remained significant in the multivariable model were incorporated into a novel scoring system. Multiple factors were associated with preoperative hydrocephalus in univariate analysis. In the final multivariable model, increased intracranial pressure, ataxia, cognitive impairment, large tumor volume, and peritumoral vasogenic edema showed strong correlations with hydrocephalus. Pre-resection hydrocephalus in patients with posterior cranial fossa tumors was strongly associated with clinical symptoms (increased intracranial pressure, ataxia, and cognitive impairment) and radiographic findings (large tumor volume and peritumoral vasogenic edema). These results may guide early surveillance and facilitate surgical prioritization to avert severe complications in this patient population.

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Publication Details

Journal
Neurosurgical Review
Published
2025-08-19
DOI
https://doi.org/10.1007/s10143-025-03752-2
Citations
1
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.63

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article

Predictors of pre-resection hydrocephalus in posterior cranial fossa tumors: development of a predictive scoring model

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Neurosurgical Review
Glioma Diagnosis and Treatment
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article

Predictors of pre-resection hydrocephalus in posterior cranial fossa tumors: development of a predictive scoring model

Bunpot Sitthinamsuwan, Chanon Ngamsombat, Sarun Nunta-aree, Chottiwat Tansirisithikul, Piriya Kanjanakangwankul
article en
1 citations

Abstract

Brain tumors located in the posterior cranial fossa frequently lead to hydrocephalus. However, few investigations have delineated factors predicting preoperative hydrocephalus. This study aimed to identify risk factors for hydrocephalus prior to tumor resection in the posterior cranial fossa and to develop a predictive scoring model. We reviewed 421 patients with posterior cranial fossa tumors, stratifying them into groups with (n = 160, 38%) and without (n = 261, 62%) hydrocephalus on initial neuroimaging. Demographic, radiographic, and craniometric variables were collected. Univariate and multivariable logistic regression analyses were performed, and odds ratios with 95% confidence intervals were determined. Factors that remained significant in the multivariable model were incorporated into a novel scoring system. Multiple factors were associated with preoperative hydrocephalus in univariate analysis. In the final multivariable model, increased intracranial pressure, ataxia, cognitive impairment, large tumor volume, and peritumoral vasogenic edema showed strong correlations with hydrocephalus. Pre-resection hydrocephalus in patients with posterior cranial fossa tumors was strongly associated with clinical symptoms (increased intracranial pressure, ataxia, and cognitive impairment) and radiographic findings (large tumor volume and peritumoral vasogenic edema). These results may guide early surveillance and facilitate surgical prioritization to avert severe complications in this patient population.

Neurosurgical ReviewVol. 48(1)
Siriraj Hospital (TH), Mahidol University (TH), Ratchaburi Hospital (TH)
Office of Research and Development, Mahidol University, Faculty of Medicine Siriraj Hospital, Mahidol University
Openalex Percentile: Top 14%
Glioma Diagnosis and Treatment
1.63
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