Granularity [Neurosurgery Wiki]

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===== Granularity =====

**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]],