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(Stroke. 2005;36:998.)
© 2005 American Heart Association, Inc.
Original Contributions |
From the Neurosurgery (H.K.S.) and Radiology (F.G.) Departments, Ízmir Atatürk Training and Research Hospital, Izmir/Turkey.
Correspondence to Hasan Kamil Sucu, Pk:53 Hatay 35361, Izmir/Turkey. E-mail hsucu{at}yahoo.com
| Abstract |
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Methods Computed tomography scans of 28 patients with unilateral hemispheric chronic subdural hematoma were reviewed. Hematoma volumes were measured using 5 different XYZ/2 formulas and compared with volumes measured by computer-assisted analysis. Nonparametric correlation coefficient (Spearmans
) was used in statistical comparison.
Results All 5 formulas showed excellent correlation with the gold standard, proving the validity of XYZ/2 method in the estimation of chronic subdural hematoma volume (level of significance <0.001). Our results suggest that maximum hematoma length and width, which are not necessarily on the same slice, should be used rather than length and width of hematoma on the central slice when using XYZ/2 method in patients with chronic subdural hematoma.
Conclusion This study proves the validity of XYZ/2 technique for the estimation of chronic subdural hematoma volume as well.
Key Words: blood volume computed tomography image processing, computer-assisted hematoma
| Introduction |
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A simple estimation method of intracerebral24 and epidural5 hematoma volume, known as XYZ/2 or ABC/2, method had been described previously. Recently, Gebel et al have shown that this method, with minor adaptation, would be suitable for the estimation of subdural hematoma volume as well.6 Later, Kasner supported this method and provided a convincing mathematical explanation for it.7 The series of Gebel et al consisted of patients with acute subdural hematomas. However, CSDHs differ in shape and extension from acute ones, which makes the validity of the same method in the estimation of hematoma volume questionable. CSDHs are not always symmetric crescents. Because of their chronic nature and traction of developing membranes, they may assume asymmetric shapes such as a comma, pear, or lens on axial computed tomography (CT) slices. CSDH, unlike acute subdural hematoma, usually extends as far as the cranial vault. Above the superior temporal line, axial CT slices are no longer perpendicular to cranium or subdural hematoma; they run rather obliquely because of the curvature of the cranial vault. Therefore, the width of the subdural hematoma measured on a slice close to vertex is thicker than it actually is. Because the width of hematoma is a variable used in XYZ/2 formula, question arises as to whether the width as measured on the axial slice or the real (corrected) width as calculated by taking the curvature of the vault into consideration should be used in the formula.
Although XYZ/2 technique had been proven to be reliable in the estimation of acute subdural hematoma volume, its value to estimate the volume of CSDH has not been studied previously. In this study, we aimed to determine the validity of this technique to measure CSDH volume by comparing it to computer-assisted volumetric analysis, which was considered as gold standard.
| Subjects and Methods |
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Computer-assisted volumetric analysis was considered as gold standard. Hematoma margins were hand-traced by the radiologist on each axial slice. Using "Dicom Works" computer program, the area of the traced hematoma was found in squared centimeters. Product of the area by the corresponding slice thickness gave the volume of the hematoma on that particular slice in cubed centimeters. The sum of the volumes on each slice gave the total volume of the hematoma.
We created 5 different XYZ/2 formulas to find out which formula would give the closest estimation of hematoma volume compared with the gold standard. These were: (1) XY1Z1/2; (2) XY2Z2/2; (3) XY2Z3/2; (4) XY3Z4/2; and (5) XY1Z4/2. X indicates depth of hematoma; Y1, maximum length of hematoma on any slice; Y2, length of hematoma on the slice that is at the center; Y3, length of hematoma on the slice that has maximum corrected width; Z1, maximum width of hematoma on any slice; Z2, width of hematoma on the slice that is at the center; Z3, corrected width of hematoma on the slice that is at the center; and Z4, corrected width of hematoma on the slice which has maximum corrected width.
Depth of hematoma was determined by multiplying the number of slices on which hematoma was visible by the slice thickness. The slice at equal distance to the first and last slices represented the center of hematoma; in case of even number of slices, the slice in the middle with a thicker hematoma was considered the central slice. When subdural hematoma was crescentic, the linear distance between each corner of subdural crescent was used to determine the length, as suggested by Gebel et al.6
The real (corrected) width of hematoma was calculated using the equation: equation
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Z indicates width of hematoma on the axial representative slice. Figure 1 shows schematic and geometrical drawings explaining how the corrected width of hematoma was calculated. Schematic drawing represents coronal view of the calvarium where shaded area is subdural hematoma (Figure 1a). The geometrical basis for the equation to calculate corrected width is shown in Figure 1b. The geometrical drawing is considered analogous to one half of the schematic drawing, where Zc is corrected (real) width of hematoma measured perpendicular to calvarium; a, half of the biparietal diameter (distance between inner tables) on the representative slice; a2, half of the biparietal diameter above the representative slice; and h, distance between 2 consecutive slices.
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Figure 1b was drawn assuming that calvarial and cortical surfaces delineating hematoma between 2 consecutive slices were parallel straight lines in Figure 1a. In Figure 1b,
ABE and
ADC are similar triangles: [EB][
][AC]; [DC][
][AE].
Therefore, |AC|/|DC|=|AE|/|EB|, where |AC| stands for Z; |DC| stands for Zc; |EB| stands for h; |AE| is hypotenuse of
ABE; |AE|=
|AB|2+|EB|2; and |AE|=
|aa2|2+|h|2.
When values are substituted, Z/Zc=
|aa2|2+|h|2/h; and Zc=Zxh/
|aa2|2+|h|2.
Product of the 3 variables was measured in centimeters, and division of the final product by 2 yielded hematoma volume in cubed centimeters. The volumes calculated using each of these 5 formulas were statistically compared with volumes measured by computer assistance. Nonparametric correlation coefficient (Spearmans
) was used in comparison.
| Results |
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Table shows median, minimum, maximum, and 25th and 75th percentile values of hematoma volumes measured by the gold standard and 5 different XYZ/2 formulas. Correlation (Spearmans rho) coefficients for hematoma volumes obtained by each of 5 XYZ/2 formulas versus computer-assisted volumetric analysis are: XY1Z1/2=0.932; XY2Z2/2=0.888; XY2Z3/2=0.874; XY3Z4/2=0.887; and XY1Z4/2=0.912. Each of these coefficients were significant at a level <0.001.
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Graphic representation showing the comparison of the best correlating formula (XY1Z1/2) to the gold standard is depicted in Figure 2.
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| Discussion |
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There are 2 main limitations in the measurement of CSDH volume by CT. First of all, CSDH may be isodense or slightly hypodense relative to brain, making their delineation from the parencyma difficult. In that case, one cannot reliably trace the margins of the hematoma nor measure its volume by computer assistance or XYZ/2 technique. We excluded 6 patients from the study for that reason. Second, determining the uppermost extension of CSDH may prove difficult because the axial slices at vertex run almost tangential to the hematoma. Despite these limitations, CT estimation of CSDH volume may be sufficient in most of the cases. When hematoma margins cannot be traced or when a precise volume measurement is required, MRI should be the method of choice because of its superior contrast resolution and multiplanar capabilities.
Conclusion
This study proves the validity of XYZ/2 technique for the estimation of CSDH volume as well for the estimation of intracerebral or acute subdural hematoma volume.
Received November 11, 2004; revision received December 17, 2004; accepted February 10, 2005.
| References |
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4. Kothari RU, Brott T, Broderick JP, Barsan WG, Sauerbeck LR, Zuccarello M, Khoury J. The ABCs of measuring intracerebral hemorrhage volumes. Stroke. 1996; 27: 13041305.
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6. Gebel JM, Sila CA, Sloan MA, Granger CB, Weisenberger JP, Green CL, Topol EJ, Mahaffey KW. Comparison of the ABC/2 estimation technique to computer-assisted volumetric analysis of intraparenchymal and subdural hematomas complicating the GUSTO-1 trial. Stroke. 1998; 29: 17991801.
7. Kasner SE. Geometry and subdural hematoma volume. Stroke. 1999; 30: 188.
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