Pediatric High-Grade Glioma Clinical Dataset

This dataset, pediatric_glioma_tbl_df, is a tibble containing comprehensive clinical and tumor characteristics for 57 pediatric patients with high-grade glioma. The data includes 22 variables covering demographic, symptomatic, pathological, treatment, and outcome measures.

Usage

data(pediatric_glioma_tbl_df)

Format

A tibble with 57 observations and 22 variables:

Age

Numeric: Patient age in years

Gender

Character: Patient gender

Headache

Character: Headache presence/characteristics

Epilepsy

Character: Epilepsy status

Hemparesis

Character: Hemiparesis presence

increaseICT

Character: Increased intracranial pressure indicators

Pathology

Character: Tumor pathology classification

Pathology_Grade

Numeric: WHO tumor grade (III-IV)

Thalamic_extension

Character: Thalamic involvement

Bil_extension

Character: Bilateral extension

Post_extension

Character: Posterior fossa extension

BrainStem_extension

Character: Brainstem involvement

MultiFocality

Character: Multifocal tumor presence

Midlineshift

Character: Midline shift presence

Edema

Character: Peritumoral edema characteristics

Approx_Tumor_Vol

Numeric: Estimated tumor volume (cm³)

ExtentofSurgicalresection

Character: Surgical resection extent

Shunt

Character: Ventricular shunt presence

ResidualsizeonMRI

Character: Post-surgical residual tumor

Neurostate

Character: Neurological status

PSBeforeRT

Numeric: Performance status pre-radiotherapy

Died

Character: Mortality outcome

Source

Kaggle dataset: Pediatric High-Grade Glioma Dataset. URL: https://www.kaggle.com/datasets/amraam/pediatric-high-grade-glioma-dataset

Details

The dataset name has been kept as 'pediatric_glioma_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the NeuroDataSets package. The suffix 'tbl_df' indicates that the dataset is a tibble. The original content has not been modified.