Definition: Granularity refers to the level of detail with which clinical, surgical, imaging, or research data are described, captured, or analyzed.

In neurosurgery, high granularity implies fine-resolution information, enabling precise decision-making, accurate targeting, and differentiation of subtle clinical or anatomical features.

Examples:

• *Clinical data*: A granular database includes histological subtype, WHO grade, molecular profile, and intraoperative events.
• *Imaging*: High-granularity MRI distinguishes between tumor margins, peritumoral edema, and radiation necrosis.
• *Surgical navigation*: Submillimetric granularity in neuronavigation enhances resection precision.
• *Outcome reporting*: Lack of granularity may obscure the difference between transient deficits and permanent morbidity.

Related terms: Resolution, Precision,