About the ICH volume calculator
The ABC/2 method, described by Kothari and colleagues in 1996, is the standard bedside formula for estimating the volume of an intracerebral hemorrhage (ICH) from a non-contrast CT scan. It approximates the hematoma as an ellipsoid and multiplies three measured diameters, then divides by two. Despite its simplicity, ABC/2 correlates closely with volumes measured by computer-assisted planimetry and remains the most widely used method in stroke research and clinical practice.
How the measurements are taken
- A is the largest hemorrhage diameter measured on the single CT slice that shows the biggest hemorrhage cross-sectional area.
- B is the diameter perpendicular to A, measured on that same slice.
- C approximates the vertical extent of the hematoma. The common bedside approximation multiplies the number of CT slices that show hemorrhage by the slice thickness (in cm) reported by the scanner.
The formula
Volume (mL) = A x B x C / 2. Because 1 cubic centimeter equals 1 milliliter, the result reads directly in mL. This calculator only performs that arithmetic — the diameters, slice count, and slice thickness must come from a CT image that has already been reviewed by a radiologist or clinician.
Putting the result in context
ICH volume is one of the strongest predictors of outcome after hemorrhagic stroke and is a component of validated severity indices such as the ICH Score, where a volume of 30 mL or more contributes a point. Volumes are commonly grouped as small (under about 30 mL), moderate (30 to 60 mL), and large (above 60 mL), but these bands describe statistical associations across patient groups, not a forecast for any one person.
When to consult a professional
This calculator performs the standard ABC/2 arithmetic for education and documentation. It is not a diagnosis and does not direct treatment. Any decision about monitoring, surgery, or care should rest with the treating clinical team, who interpret the volume alongside hemorrhage location, the patient's neurological exam, and imaging trends over time.