| abc2_ich_volume | R Documentation |
Calculates the estimated volume of an intracerebral hemorrhage (ICH) using the ABC/2 formula. This simple geometric approximation correlates well with planimetric measurements and is widely used for prognosis and treatment stratification.
The formula assumes an ellipsoid shape: Volume = (A * B * C) / 2.
abc2_ich_volume(hemorrhage_length_cm, hemorrhage_width_cm, num_slices, slice_thickness_mm)
hemorrhage_length_cm |
Numeric. The greatest diameter of the hemorrhage on the CT slice with the largest area (A). |
hemorrhage_width_cm |
Numeric. The diameter perpendicular to A on the same CT slice (B). |
num_slices |
Numeric. The number of CT slices containing the hemorrhage. Guidelines for counting slices: - Slice with >= 75% of the largest area: Counts as 1 slice. - Slice with 25-75% of the largest area: Counts as 0.5 slices. - Slice with < 25% of the largest area: Counts as 0 slices. |
slice_thickness_mm |
Numeric. The thickness of each CT slice in millimeters (typically provided in the scan metadata). |
A list containing:
ICH_Volume_mL |
The calculated hemorrhage volume in cubic centimeters (mL). |
Interpretation |
Prognostic note based on the 30 mL cutoff used in the ICH Score. |
Kothari RU, Brott T, Broderick JP, et al. The ABCs of measuring intracerebral hemorrhage volumes. Stroke. 1996;27(8):1304-1305. doi:10.1161/01.str.27.8.1304
# Example 1: Large Hemorrhage
# 5cm x 4cm on largest slice, 12 slices total (all full size), 5mm thickness
# C = 12 * 0.5cm = 6cm. Volume = (5 * 4 * 6) / 2 = 60 mL
abc2_ich_volume(5, 4, 12, 5)
# Example 2: Small Hemorrhage
# 3cm x 2cm, 3 slices (5mm thick)
# C = 3 * 0.5cm = 1.5cm. Volume = (3 * 2 * 1.5) / 2 = 4.5 mL
abc2_ich_volume(3, 2, 3, 5)
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