Acute Cytotoxic and Vasogenic Edema after Subarachnoid Hemorrhage: A Quantitative MRI Study
===========================================================================================

* J.M. Weimer
* S.E. Jones
* J.A. Frontera

## Abstract

**BACKGROUND AND PURPOSE:** The mechanism of early brain injury following subarachnoid hemorrhage is not well understood. We aimed to evaluate if cytotoxic and vasogenic edema are contributing factors.

**MATERIALS AND METHODS:** A retrospective analysis was conducted in patients with SAH undergoing diffusion-weighted MR imaging within 72 hours of onset. Apparent diffusion coefficient values derived from DWI were evaluated by using whole-brain histograms and 19 prespecified ROIs in patients with SAH and controls with normal findings on MRI. Cytotoxic edema observed outside the ROIs was assessed in patients with SAH. The average median ADC values were compared between patients with SAH and controls and patients with SAH with mild (Hunt and Hess 1–3) versus severe early brain injury (Hunt and Hess 4–5).

**RESULTS:** We enrolled 33 patients with SAH and 66 controls. The overall average median whole-brain ADC was greater for patients with SAH (808 × 10−6 mm2/s) compared with controls (788 × 10−6 mm2/s, *P* < .001) and was higher in patients with SAH across ROIs after adjusting for age: cerebral gray matter (826 versus 803 × 10−6 mm2/s, *P* = .059), cerebral white matter (793 versus 758 × 10−6 mm2/s, *P* = .023), white matter tracts (797 versus 739 × 10−6 mm2/s, *P* < .001), and deep gray matter (754 versus 713 × 10−6 mm2/s, *P* = .016). ADC values trended higher in patients with Hunt and Hess 4–5 versus those with Hunt and Hess 1–3. Early cytotoxic edema was observed in 13 (39%) patients with SAH and was more prevalent in those with severe early brain injury (87.5% of patients with Hunt and Hess 4–5 versus 24.0% of those with Hunt and Hess 1–3, *P* = .001).

**CONCLUSIONS:** Age-adjusted ADC values were globally increased in patients with SAH compared with controls, even in normal-appearing brain regions, suggesting diffuse vasogenic edema. Cytotoxic edema was also present in patients with SAH and correlated with more severe early brain injury.

## ABBREVIATIONS:

EBI
:   early brain injury
HH
:   Hunt and Hess

Early brain injury (EBI) incurred during aneurysm rupture in spontaneous subarachnoid hemorrhage is a major predictor of poor functional outcome,1,2 yet the mechanism for EBI is not well-understood. In both animal and human models, SAH leads to transiently elevated intracranial pressure with concomitant inadequate cerebral blood flow and, in severe cases, intracranial circulatory arrest.3,4 This transient global hypoperfusion is associated with endothelial activation, microthrombosis, ischemia, and vasogenic edema in animal models.5⇓–7 As a part of routine clinical MR imaging at many institutions, diffusion-weighted imaging presents a unique opportunity for the study of patients with SAH in the acute period. Apparent diffusion coefficient values may serve as a practical and useful biomarker for the severity of EBI following SAH. In humans, we and others have demonstrated that MR imaging–detected infarctions on DWI occur acutely after SAH and before the onset of delayed cerebral ischemia/vasospasm.8⇓⇓–11

These infarctions are more common in patients with more severe EBI (Hunt and Hess [HH] 4–5); occur in unusual, nonvascular patterns (eg, corpus callosum, bilateral medial frontal lobes); and are associated with an increased risk of delayed cerebral ischemia and worse 3-month functional outcomes.8⇓–10 The volume of infarction associated with worse functional outcomes is small, however.8 Thus, this finding led us to hypothesize that conventional, nonquantitative MR imaging techniques are not sensitive enough to detect the full extent of brain injury.

We hypothesized that patients with SAH (compared with controls) would demonstrate global reductions in apparent diffusion coefficient values, indicating diffuse cytotoxic edema presumably due to ischemia/hypoperfusion, when whole-brain ADC mapping and ROI quantitative analyses were applied. We further hypothesized that patients with SAH with evidence of severe EBI would have a greater burden of cytotoxic edema than those with mild EBI.

## Materials and Methods

### Subject Enrollment and Data Collection

A retrospective review of prospectively enrolled patients with spontaneous SAH was conducted between February 2013 and March 2015 as part of the Intracranial Hemorrhage ICU Project of Cleveland Clinic and Early Status of Coagulation, Platelet Activation and Outcome after Subarachnoid Hemorrhage (Principal Investigator, J.A.F.).1 As part of these studies, all eligible patients admitted to the neurologic intensive care unit within 72 hours of the onset of SAH symptoms were approached for enrollment. Inclusion criteria were being 18 years of age or older; SAH diagnosed by CT, MR imaging, or lumbar puncture; consent to participate in 3- and 12-month follow-up interviews; and DWI performed within 72 hours of ictus, before the clinical or radiographic onset of delayed cerebral ischemia/cerebral vasospasm (which typically occurs 3–14 days after aneurysm rupture). Exclusion criteria included SAH due to nonaneurysmal causes such as trauma, arteriovenous malformation, dural arteriovenous fistula, cavernous malformation, vasculitis, or arterial dissection. The severity of EBI due to SAH was assessed at admission by using the Hunt and Hess scale12 and was dichotomized as mild (HH 1–3) versus severe (HH 4–5).

The control group was identified from a population of consecutive patients undergoing brain DWI on the same 1.5T inpatient scanners and were matched to patients with SAH in a 2:1 ratio. Records were queried from the hospital electronic record on inpatients 40–60 years of age (because this is the typical age range of patients with spontaneous SAH) undergoing brain MR imaging between January 2010 and December 2013 (the most recent time frame in which control data were available). Radiologists' image reports were reviewed to identify patients with normal findings on MRI and no evidence of intracranial pathology. Images were then independently reviewed by 2 reviewers (J.A.F., J.M.W.) to confirm the absence of intracranial pathology. Basic and demographic data were collected for both patients with SAH and controls. Admission clinical and radiographic data were also recorded for patients with SAH. This study was approved by our institutional review board.

### MR Imaging Postprocessing and Analysis

All MRIs were performed on the same 1.5T whole-body scanners (Magnetom; Siemens, Erlangen, Germany), and diffusion-weighted images were obtained by using a standard single-shot, spin-echo, echo-planar sequence with b-values of 0 mm2/s and 1000 mm2/s. ADC images were automatically generated from diffusion-weighted sequences (*b*=0 and *b*=1000 series) following acquisition. To confirm their accuracy, ADC images were also reconstructed off-line by using Matlab R2013 software (MathWorks, Natick, Massachusetts). Because differences between the scanner-generated and off-line-reconstructed images were negligible, representing <1% of the maximal ADC signal, automatically generated ADC images were used for subsequent analyses.

Brain extractions were next performed on scans of all controls and patients with SAH with the FSL Brain Extraction Tool ([http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/BET](http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/BET)),13 available through FSL ([http://www.fmrib.ox.ac.uk/fsl](http://www.fmrib.ox.ac.uk/fsl); 2015) as part of the Mango image viewing software package ([http://ric.uthscsa.edu/mango](http://ric.uthscsa.edu/mango); 2015). Floor and ceiling threshold filters were applied to limit the images to voxel intensities between 250 and 1250 × 10−6 mm2/s to restrict contributions from any remaining nonparenchymal signal, such as from the extra-axial or subarachnoid space (thereby excluding blood products in the subarachnoid space and intraventricular blood). The median whole-brain ADC was calculated for each subject. Whole-brain histograms with bin widths of 10 × 10−6 mm2/s were generated. Histograms were normalized to account for variations in brain volume among patients, and histogram peaks were calculated. Smooth curves were fit to model the histograms by applying a moving average low-pass filter. Median ADC values were compared for both patients with SAH versus control subjects and those with mild EBI (Hunt and Hess 1–3) versus severe EBI (Hunt and Hess 4–5) as performed elsewhere.11

Traditional regional spatial profile analysis was also performed by using standardized volumetric software in a manner similar to that previously described.14 Images were loaded into the Medical Image Processing, Analysis, and Visualization software package (National Institutes of Health, Bethesda, Maryland; 2014), and symmetric ROIs were placed bilaterally over 19 predefined normal-appearing regions: gray matter of the frontal, parietal, occipital, and temporal lobes; white matter of the frontal, parietal, occipital, and temporal lobes; internal capsule, genu, and splenium of the corpus callosum; caudate head, lentiform nucleus, and thalamus; midbrain; hippocampus; pons; cerebellar nuclei; and white matter (On-line Figure).14 Median ADC values were reported for each subject ROI due to the possibility of individual voxel outliers within an individual ROI. Conclusions were unchanged if mean ADC values were used during ROI analysis and therefore were not reported. Average median ADC intensity was calculated for the following ROI combinations: cerebral gray matter (frontal, parietal, occipital, and temporal); cerebral white matter (frontal, parietal, occipital, and temporal); white matter tracts (genu, splenium, and internal capsule); deep gray matter (thalamus, caudate, and lentiform nucleus); and summed ROIs (all 19 regions). Hyperintense FLAIR signal related to remote lesions (eg, old stroke) or transependymal periventricular edema was excluded from ROI analysis. Ischemic lesions were not included in summed ROI comparisons and are reported separately as their own ROI group.

For patients with SAH, DWI and ADC images were also reviewed for evidence of cytotoxic edema outside prespecified ROIs, defined qualitatively as DWI hyperintense/ADC hypointense lesions. Cytotoxic edema lesions were manually traced to calculate total volume. Procedural-related lesions, such as those along known external ventricular drain tracts or craniotomy trajectories, and lesions due to the presence of blood products were manually excluded from analysis.

### Statistical Plan

Statistical analyses were performed by using the JMP 9.0 software package (SAS Institute, Cary, North Carolina; 2010). Univariate comparisons between patients with SAH and controls and between patients with SAH with severe (HH 4–5) versus mild (HH 1–3) EBI were performed by using the χ2 test for categoric variables and the Wilcoxon rank sum test for continuous variables. Multisample comparisons were performed with the Kruskal-Wallis test. For average median ADC comparisons between patients with SAH and controls with whole-brain and combined ROI measurements (cerebral white matter, cerebral gray matter, white matter tracts, deep gray matter, and summed ROIs), multivariable logistic regression models adjusted for patient age were also performed because there were significant age differences between patients with SAH and controls. Correlations between ADC values and age, the modified Fisher score, the presence of elevated intracranial pressure, and external ventricular drainage were evaluated by using 2-sided Spearman correlation coefficients.

## Results

During the study period, 33 patients with SAH underwent MR imaging within 72 hours of ictus and 66 controls 40–60 years of age with normal-appearing MR imaging were evaluated. The most common indications for MR imaging in the control group were headache, altered mental status, weakness, and vertigo/dizziness/syncope. Basic and demographic data for patients with SAH and controls and SAH admission data are summarized in Table 1. The median age of patients with SAH (59 years; interquartile range, 44.5–66 years) was significantly older than that in the control cohort (49 years; interquartile range, 43.4–53.2; *P* < .001). There were no other significant baseline differences, including sex, race, history of smoking, history of alcohol abuse, hypertension, diabetes, hyperlipidemia, or aspirin use. Eight patients with SAH (24.2%) had severe EBI (HH 4–5) on admission. Most patients with SAH had either modified Fisher grade 3 (*n* = 18, 54.5%) or modified Fisher grade 4 bleeds (*n* = 9, 27.3%).15

View this table:
[Table 1:](http://www.ajnr.org/content/38/5/928/T1)

Table 1: 
Summary of admission, demographic, clinical, and radiographic characteristics of patients with SAHa

The average median whole-brain ADC value was significantly higher for the SAH cohort (808 × 10−6 mm2/s) compared with the control cohort (788 × 10−6 mm2/s, *P* < .001). Similarly, whole-brain histograms were right-shifted toward higher ADC values in the SAH cohort compared with controls (Fig 1). The peak of the averaged SAH histogram was located at the bin centered at 780 × 10−6 mm2/s, while the peak of the averaged control histogram was located at the bin centered at 750 × 10−6 mm2/s.

![Fig 1.](http://www.ajnr.org/https://www.ajnr.org/content/ajnr/38/5/928/F1.medium.gif)

[Fig 1.](http://www.ajnr.org/content/38/5/928/F1)

Fig 1. 
Composite histogram curves from all patients plotting fractions of voxels by voxel intensity in apparent diffusion coefficient maps of controls (*line*) and subjects with SAH (*dots*).

Average median ADC values for ROIs in patients with SAH and controls are reported in Table 2. Across all ROIs, the average median ADC was higher in the SAH cohort compared with the control group (795 × 10−6 mm2/s for patients with SAH versus 759 × 10−6 mm2/s for controls, *P* < .001). The greatest differences were observed in the white matter tracts and the cerebral white matter of the brain, along with deep gray matter structures, while differences among gray matter ROIs were smaller.

View this table:
[Table 2:](http://www.ajnr.org/content/38/5/928/T2)

Table 2: 
Average median ADC values in ROIs in patients with SAH and controlsa

When we compared patients with SAH with mild EBI (HH 1–3) versus severe EBI (HH 4–5), the average median whole-brain ADC values were similar between groups (808 × 10−6 mm2/s for HH 1–3 versus 811 × 10−6 mm2/s for HH 4–5, *P* = .514). However, the histogram peak for those with mild EBI was centered at 780 × 10−6 mm2/s, while the histogram peak for those with severe EBI was centered at 800 × 10−6 mm2/s, resulting in the distributions shown in Fig 2. Across most individual ROIs, the average median ADC intensity was greater in patients with SAH with severe EBI compared with those with mild EBI (Table 3), though the results were not statistically significant. Similarly, there was no significant difference in average median ADC values for summed areas of cerebral gray matter (*P* = .159), cerebral white matter (*P* = .147), deep gray matter (*P* = .074), white matter tracts (*P* = .916), and total summed ROIs (*P* = .200) between patients with SAH with mild-versus-severe EBI.

![Fig 2.](http://www.ajnr.org/https://www.ajnr.org/content/ajnr/38/5/928/F2.medium.gif)

[Fig 2.](http://www.ajnr.org/content/38/5/928/F2)

Fig 2. 
Composite histogram curves from all patients with SAH plotting the fraction of voxels by voxel intensity in apparent diffusion coefficient maps of patients with SAH with Hunt and Hess 1–3 (*line*) and Hunt and Hess 4–5 (*dots*).

View this table:
[Table 3:](http://www.ajnr.org/content/38/5/928/T3)

Table 3: 
Average median ADC values in ROIs among patients with SAH with HH 1–3 versus 4–5a

ADC values increased significantly with age in the combined cohort of controls and patients with SAH (Pearson correlation coefficient for median summed ROI ADC and age = 0.514, *P* < .001), though this effect was primarily driven by patients with SAH (Pearson correlation coefficient = 0.602, *P* < .001), while there was no correlation between age and ADC values among controls alone (Pearson correlation coefficient = 0.012, *P* = .924). Among patients with SAH, ADC values increased as the modified Fisher score increased (median summed ROI modified Fisher score 1: 766 × 10−6 mm2/s; modified Fisher score 2: 754 × 10−6 mm2/s; modified Fisher score 3: 797 × 10−6 mm2/s; modified Fisher score 4: 813 × 10−6 mm2/s; Pearson correlation coefficient = 0.440, *P* = .010). There was no correlation between ADC values and sex, elevated intracranial pressure, or external ventricular drainage.

In multivariable analysis, after we adjusted for age, whole-brain ADC values were still significantly higher in patients with SAH compared with controls (*P* = .028). Similarly, after we adjusted for age, the average median ADC values remained higher in grouped ROIs for cerebral white matter (*P* = .023), white matter tracts (*P* < .001), deep gray matter (*P* = .016), and summed ROIs (*P* < .001, Table 2).

Evidence of cytotoxic edema was observed in 13 (39%) patients with SAH. Cytotoxic edema was more prevalent in patients with SAH with more severe EBI (87.5% of patients with HH 4–5 versus 24.0% of patients with HH 1–3, *P* = .001). The median volume of ischemia was also higher in patients with HH 4–5 than in those with HH 1–3 (0.8 mL; range, 0–88.8 versus 0 mL; range, 0–2.4; *P* = .001). The average median ADC value of ischemic lesions across all patients with SAH was 605 × 10−6 mm2/s. There was no significant difference in ischemic ADC values between patients with mild and severe EBI (602 × 10−6 mm2/s for HH 1–3 versus 619 × 10−6 mm2/s for HH 4–5, *P* = .721).

## Discussion

This study is one of the first to provide quantitative evidence of both early cytotoxic and vasogenic edema occurring within 72 hours of SAH compared with controls. On the basis of our previous work,8 we anticipated globally decreased ADC values in patients with SAH compared with controls because we hypothesized that the abrupt increase in intracranial pressure that follows aneurysm rupture would result in inadequate cerebral blood flow and subsequent ischemia, similar to cardiac arrest models.16 Indeed, animal studies demonstrate increased intracranial pressure followed by cerebral blood flow values below the infarction threshold immediately after SAH onset.17 Other mechanisms may concomitantly reduce cerebral blood flow, such as primary SAH-induced vasoconstriction, as shown in preclinical models using laser Doppler flow analysis.18 Hyperacute MR imaging in SAH endovascular perforation rat models has shown sharp ipsilateral declines in ADC within 2 minutes of SAH onset, followed by ADC value reductions in the contralateral cerebral cortex.19 While we did observe evidence of cytotoxic edema (reduced ADC values, which may represent ischemia) in 87.5% of patients with SAH with severe EBI, the volume of cytotoxic edema was too small to account for the clinical differences between those with severe-versus-mild EBI.

Instead, we noted diffusely increased ADC values in normal-appearing brain parenchyma in patients with SAH compared with controls and relatively higher ADC values in patients with SAH with more severe EBI. These data suggest the early presence of diffuse vasogenic edema, which is a direct consequence of abnormal blood-brain barrier permeability. Animal models of SAH demonstrate cerebral microvessel endothelial basal lamina disruption, acute loss of collagen IV,5 and increased microvessel permeability within minutes of SAH onset.20 Resultant blood-brain barrier breakdown and inflammation are evidenced by the escape of platelet aggregates and neutrophils into the brain parenchyma.6,21 Several other clinical studies have identified an increase in immunologic and inflammatory markers in patients with both unruptured intracranial aneurysms and subarachnoid hemorrhage.1,22,23 The association of higher ADC values with higher modified Fisher scores (and hence more intracranial hemorrhage) in our study suggests that the presence of blood products may play a role in the development of vasogenic edema.

Other MR imaging studies performed in patients with SAH corroborate our findings. In one study, the volume of DWI and FLAIR hyperintensities (assessed through manual ROI segmentation and documented within 48 hours of SAH ictus) was found to correlate with worse admission neurologic status and poor 3-month functional outcomes.24 However, much of the FLAIR signal changes in this study were related to chronic injury in addition to the evolution of DWI positive for ischemic lesions and transependymal edema, possibly due to hydrocephalus. Our data do not demonstrate a significant association of intracranial pressure or external ventricular drain use and ADC values, suggesting that hydrocephalus and transependymal edema are not the causes of higher ADC measures. Additionally, elevated ADC values occurred in ROIs that are not immediately juxtaposed to the ventricles, where transependymal edema occurs.

In another analysis, 100 patients with aneurysmal SAH underwent DWI evaluation an average of 9 days after bleed onset.25 In this study, normal-appearing brain parenchyma had significantly higher ADC in the cerebral white matter and deep gray matter compared with healthy age-matched volunteers, while cerebral gray matter did not significantly differ between groups. Although evidence of radiographic vasospasm was not described, symptomatic vasospasm was observed in 14% of patients in this cohort. The authors also found that age was significantly associated with higher ADC values, but admission neurologic status (Hunt and Hess grades 1–2 versus 3–4, no subjects with Hunt and Hess 5 scores), treatment (surgical clipping versus endovascular coiling), and the severity of bleeding (modified Fisher grades 1–2 versus 3–4) were not significantly associated with ADC values. Limitations of this study include MRIs being performed during the vasospasm period (typically days 3–14 following aneurysm rupture) and signal change possibly representing pathology related to vasospasm rather than EBI due to aneurysm rupture.

In contrast to the above study, in which increases in ADC values were observed predominantly in the white matter and deep gray matter, we observed increases diffusely, including in the cortical gray matter, brain stem, and cerebellum. The timing of MR imaging in our study may account, in part, for this difference. Elevated ADC values have also been observed in other types of neurologic injury. In a study of traumatic brain injury, higher whole-brain peak ADC in normal-appearing parenchyma was significantly associated with worse Glasgow Coma Scores.26 While we found a trend toward higher ADC values in patients with SAH with worse admission neurologic status, our study was underpowered to detect a significant difference.

Although elevated ADC is typically due to increased extracellular water content, breakdown of the blood-brain barrier, and vasogenic edema, 1 additional possibility includes the pseudonormalization of ADC values during the subacute stages of ischemia. While there is some evidence of ADC heterogeneity early after acute ischemia,27 the overall time course of ischemic ADC changes involves 2 well-defined phases: an early reduction phase lasting between 96 and 144 hours, followed by a late elevation phase in which ADC values return to normal and even exceed normative values.28 Our study investigated an earlier time period of SAH, notably the acute phase lasting the first 72 hours. While we observed evidence of early brain ischemia in patients with SAH, ischemic lesions were often punctate and randomly distributed. The low volumes of ischemia, the presence of elevated ADC in patients with SAH without evidence of acute ischemia, and a short timeframe from ictus to imaging are inconsistent with pseudonormalization and instead are strongly supportive of the occurrence of global vasogenic edema early after SAH.

Some limitations of our study should be mentioned. Because this was a retrospective study, there is a patient selection bias. MR imaging is not routinely performed at our institution following SAH, and patients who underwent MR imaging may differ from those who did not. Furthermore, because MR imaging was performed as part of routine clinical practice, we were unable to account for possible subtle differences in patient movement or the effects of magnetic susceptibility, which may influence ADC values. Another limitation was that though the control group had normal MR imaging findings, these patients were not healthy controls but rather patients with a clinical symptom that prompted an MR imaging evaluation. It was necessary to select a control group that underwent imaging on the same inpatient MR imaging scanner to limit technical confounders. Hence, it was more expedient to use a patient group with normal-appearing MR imaging findings (based on neuroradiologist conventional assessment) rather than healthy controls who would be imaged on a different outpatient MR imaging scanner. We performed a 2:1 control to patients with SAH analysis to maximize our statistical power to detect a difference between control and SAH ADC values. Due to the low number of patients with SAH, we were unable to detect a significant association of ADC values with evidence of EBI or worse admission neurologic status. Although we did observe trends for higher ADC values in patients with HH 4–5, a larger study would be necessary to confirm this effect. Finally, our patients with SAH were older than the controls. Previous studies have demonstrated increases in ADC values with age. However, even after controlling for age, differences in ADC values remained significant.

## Conclusions

We observed evidence of early cytotoxic and vasogenic edema occurring within 72 hours of SAH ictus. Patients with SAH had significantly higher whole-brain and ROI ADC values than controls. Those with more EBI had significantly more cytotoxic edema and trended toward higher ADC values (more vasogenic edema) than those with better admission neurologic status. Both cytotoxic and vasogenic edema may be related to the mechanism of EBI following SAH or may represent biomarkers for the severity of EBI. Further study is necessary to determine whether either MR imaging marker is a significant predictor of functional outcome.

## Footnotes

*   Disclosures: Jonathan M. Weimer—*RELATED*: *Grant*: American Heart Association, *Comments*: research supported in part by the American Heart Association Student Scholarship in Cerebrovascular Disease and Stroke.

*   This work was supported, in part, by the American Heart Association Student Scholarship in Cerebrovascular Disease and Stroke.

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*   Received October 5, 2016.
*   Accepted after revision December 15, 2016.


*   © 2017 by American Journal of Neuroradiology