Gray Matter Alteration in Post-Radiotherapy Nasopharyngeal Carcinoma Patients

38 post-radiotherapy nasopharyngeal carcinoma patients and 23 healthy controls underwent T1-weighted MRI scans. The dataset, authored by Chunhan Qin and last updated in April 2026, applies causal structural covariance network analysis to explore temporal and causal relationships in brain structural changes following radiotherapy.

Use Cases

• Modeling causal relationships in brain structural alterations based on morphometric data from T1-weighted MR images.
• Identifying source-like and sink-like brain regions in gray matter volume changes post-radiotherapy.
• Analyzing the temporal progression of radiation-induced brain damage using data ordered by time elapsed post-treatment.

Strengths

• Includes a control group of 23 healthy subjects for comparison.
• Patient cohort includes detailed metadata: median age 50.0 years and median time post-RT 17.2 months.
• Data is openly shared under a CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is relatively small at 2.9 MB, which may limit the complexity of analyses.

Provenance

Source

figshare

Collection Method

T1-weighted magnetic resonance images were collected from patients and healthy controls, with causal network analysis applied to the derived morphometric data.

Time Range

Patient data includes a range of time post-radiotherapy from 0.5 to 108 months.

Freshness

Last updated 2026-04-13 05:47:44; freshness should be verified.

Geography

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