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๐Ÿง  Subarachnoid Hemorrhage Volume: Key Points

Estimating the volume of a subarachnoid hemorrhage (SAH) is trickier than for intraparenchymal or intraventricular bleeds due to its irregular, diffuse distribution in the subarachnoid space. Hereโ€™s a comprehensive look at how it's approached:

๐Ÿ”ฌ 1. Why It's Hard to Measure

  • SAH spreads along cisterns, sulci, and fissures, making it non-confluent and irregular.
  • Thereโ€™s no standard โ€œABC/2โ€ method for SAH like there is for ICH.

๐Ÿงฎ 2. Methods of Estimation

A. Visual Grading Systems (most commonly used)

โžค Fisher Scale (Classic) Used to predict vasospasm, not volume per se:

  • Grade 1: No SAH
  • Grade 2: Diffuse thin SAH (<1 mm)
  • Grade 3: Localized clot and/or vertical layer >1 mm
  • Grade 4: Any SAH with intraventricular hemorrhage

โžค Modified Fisher Scale More detailed, still semiquantitative, and slightly better correlated with vasospasm risk.

B. Hijdra Score

A more granular scale scoring 10 basal cisterns and sulci from 0 (no blood) to 3 (completely filled with blood), total score 0โ€“30.

C. Volumetric Estimation Using Imaging Software

Manual or semi-automated segmentation of hyperdensities on CT using tools like:

  • 3D Slicer
  • OsiriX
  • ITK-SNAP

Pros: โ†’ Results in volume in mL

Cons: โ†’ Time-consuming โ†’ Not routinely done in clinical practice โ†’ Mainly used in research

๐Ÿ“Š 3. Clinical Reference Values

SAH Classification Estimated Volume Prognostic Value
Small/localized < 5 mL Lower risk
Moderate 5โ€“15 mL Intermediate risk
Large >15โ€“20 mL Higher risk of vasospasm, poor outcome

๐Ÿ› ๏ธ 4. Radiological AI Tools

Some modern centers use AI-based algorithms to:

  • Automatically segment blood in SAH
  • Estimate volumes
  • Correlate with outcome scores