Literature DB >> 29354241

The Potential of Diffusion-Weighted Magnetic Resonance Imaging for Predicting the Outcomes of Chronic Subdural Hematomas.

Seung-Hwan Lee1, Jong-Il Choi2, Dong-Jun Lim1, Sung-Kon Ha1, Sang-Dae Kim1, Se-Hoon Kim1.   

Abstract

OBJECTIVE: Diffusion-weighted magnetic resonance imaging (DW-MRI) has proven useful in the study of the natural history of ischemic stroke. However, the potential of DW-MRI for the evaluation of chronic subdural hematoma (CSDH) has not been established. In this study, we investigated DW-MRI findings of CSDH and evaluated the impact of the image findings on postoperative outcomes of CSDH.
METHODS: We studied 131 CSDH patients who had undergone single burr hole drainage surgery. The images of the subdural hematomas on preoperative DW-MRI and computed tomography (CT) were divided into three groups based on their signal intensity and density: 1) homogeneous (iso or low) density on CT and homogeneous low signal intensity on DW-MRI; 2) homogeneous (iso or low) density on CT and mixed signal intensity on DW-MRI; and 3) heterogeneous density on CT and mixed signal intensity on DW-MRI. On the basis of postoperative CT, we also divided the patients into 3 groups of surgical outcomes according to residual hematoma and mass effect.
RESULTS: Analysis showed statistically significant differences in surgical (A to B: p<0.001, A to C: p<0.001, B to C: p=0.129) and functional (A to B: p=0.039, A to C: p<0.001, B to C: p=0.108) outcomes and treatment failure rates (A to B: p=0.037, A to C: p=0.03, B to C: p=1) between the study groups. In particular, group B and group C showed worse outcomes and higher treatment failure rates than group A.
CONCLUSION: CSDH with homogeneous density on CT was characterized by signal intensity on DW-MRI. In CSDH patients, performing DW-MRI as well as CT helps to predict postoperative treatment failure or complications.

Entities:  

Keywords:  Diffusion magnetic resonance imaging; Hematoma, Subdural, Chronic

Year:  2017        PMID: 29354241      PMCID: PMC5769846          DOI: 10.3340/jkns.2016.0606.005

Source DB:  PubMed          Journal:  J Korean Neurosurg Soc        ISSN: 1225-8245


INTRODUCTION

Chronic subdural hematoma (CSDH) is a common intracranial hemorrhagic disease and is relatively more prevalent in geriatric patients4,16). Clinical presentations in CSDH patients generally include headache, dysarthria, and hemiparesis, which are similar to symptoms of cerebral infarction3,4). Although there is occasionally no obvious history, 60–80% of cases of CSDH are due to head trauma4,17). Therefore, in patients without a history of trauma, clinical symptoms alone may be difficult to differentiate between CSDH and cerebral ischemic stroke. Diffusion-weighted magnetic resonance imaging (DW-MRI) has proven useful in the study of the natural history of ischemic stroke and is currently a promising technique for the early detection of cerebral infarction in routine clinical practice3,12). Consequently, many CSDH patients undergo DW-MRI as the first diagnostic imaging study because of the need to differentiate between CSDH and cerebral infarction, and several cases have been confirmed to be CSDH using DW-MRI. Some institutions treat CSDH based on computed tomography (CT) findings, and there are several reports of treatment outcomes associated with features of hematoma on CT4,24). However, there are few studies of treatment outcomes related to signal intensity of hematoma on DW-MRI. CT scan remains the most important imaging method in the initial evaluation of CSDHs15). It is a faster, cheaper and more available technique than DW-MRI. However, DW-MRI provides more precise localization and determination of the extent of hematoma and its mass effect on adjacent structures7). DW-MRI is more advantageous in the case of isodense and heterodence CSDHs on CT scans7,22). CT and DW-MRI of CSDHs detect various patterns, which can be attributed to many factors including the age of the hematoma, the presence of rebleeding and the hematocrit status of the patient. The purpose of this study is to predict the course and prognosis of treatment in patients with CSDH through DW-MRI. We reviewed preoperative DW-MRI, CT, and postoperative CT images in 131 patients with CSDH who underwent burr hole drainage surgery at a single medical center. We divided these patients into three groups based on the signal intensity on DW-MRI and features of hematoma on CT and investigated treatment outcomes in each group to determine the clinical significance of DW-MRI in CSDH patients.

MATERIALS AND METHODS

We studied 131 consecutive patients with CSDH at our institution from January 2012 to June 2015, and who had received single burr-hole drainage surgery. CSDH was defined as the radiographic finding of a subdural fluid collection surrounded by a typical neomembrane that contained dark red or brown liquid blood4,6,9,11,12). Diagnosis was confirmed by preoperative CT and DW-MRI in all patients. We performed DW-MRI after a CT scan for those patients with proven history of head trauma within 3 months and who showed neurologic deficits such as headache, dysarthria and hemiparesis. For those without any trauma history, we performed DW-MRI first, then followed by CT scan on the day of, or 1 day prior to surgery. Preoperative DW-MRI was performed on admission using a 3.0-T superconducting system (3T Achieva X-series; Philips Healthcare, Best, The Netherlands). Single-shot echo-planar DW-MRI was obtained in three orthogonal motion probing gradients (repetition time/echo time=9800/76 ms, field of view 220×220 mm, slice thickness 3 mm with a 1 mm gap, matrix 174×174 mm, MPG of 1 mT/m, and maximum b-factor of 1000 s/cm2). Postoperative CT was obtained at 1, 4, and 8 weeks, and 6 months after surgery. All patients underwent a single burr hole procedure under general anesthesia. A burr hole trephination was placed over the maximum thickness of the hematoma, usually at the parietal eminence of the parietal bone. Dura and outer pseudomembranes were opened in a cruciate fashion. The hematoma was removed by rinsing with warm saline and gentle aspiration, and the cavity was irrigated and filled with sterile saline. A closed drainage system with a silicone catheter was left in the subdural space for 2 or 3 days18,20). The radiologic characteristics of the subdural hematomas on preoperative CT and DW-MRI were divided into three groups by two neurosurgeons in our institution, based on their density and signal intensity: 1) homogeneous (iso or low) density on CT and homogeneous low signal intensity on DW-MRI; 2) homogeneous (iso or low) density on CT and mixed signal intensity on DW-MRI; and 3) heterogeneous density on CT and mixed signal intensity on DW-MRI (Fig. 1). Two neurosurgeons assessed imaging findings of CT and DW-MRI independently without being influenced by each other. If the image classification of the two neurosurgeons did not match, we reviewed and discussed the image together to derive the agreed classification.
Fig. 1

Appearance of subdural hematomas on diffusion-weighted magnetic resonance imaging (DW-MRI) and preoperative computed tomography (CT). A: Homogeneous density on CT and homogeneous signal intensity on DW-MRI. B: Homogeneous density on CT and mixed signal intensity on DW-MRI. C: Heterogeneous density on CT and mixed signal intensity on DW-MRI.

The results of surgical outcomes and functional prognosis were evaluated and compared using methods from previous studies1,6,14,19). The pre- and postoperative (follow-up period of 6 months) hematoma thickness was measured using CT to calculate the brain expansion rate as: (preoperative hematoma thickness–postoperative hematoma thickness)/preoperative hematoma thickness×100 (%). Surgical outcome was defined by the degree of brain expansion as good (>80%), partial (50–80%), or none (<50%)14,19). Good functional prognosis was defined using a modified Rankin Scale (mRS) of 0–2, while poor functional prognosis was graded as 3–6, after 3 months14,19). Treatment failure was defined as the occurrence of symptoms and signs attributable to an ipsilateral hematoma seen on CT within the follow-up period of 6 months6,14,19). Statistical analyses were performed using the Statistical Package for the Social Sciences version 18.0 for Windows (SPSS Inc., Chicago, IL, USA). Chi-squared test and Fisher’s exact test were used to assess the postoperative outcomes and treatment failure, and to compare the groups in this study. Differences were considered significant at p values of less than or equal to 0.05.

RESULTS

Baseline characteristics of CSDH patients

A total of 131 patients were enrolled in this study, with 58, 30, and 43 patients in groups A, B, and C, respectively. The mean age of all patients was 68±17 years and the mean age in groups A, B, and C was 70±14 years, 64±20 years, and 68±16 years. Of 131 cases, 85 were male (64.9%) and 46 were female (35.1%), with a patient sex distribution as follows: group A, 37 males and 15 females; group B, 22 males and 13 females; and group C, 26 males and 18 females. Fifty-one of the patients (38.9%) had a history of hypertension, 35 (26.7%) had diabetes mellitus, and 35 (26.7%) were on antiplatelet or anticoagulant drugs; 41.4%, 26.7%, and 44.2% of patients in groups A, B, and C had been treated for hypertension, and 22.4%, 33.3%, and 27.9% for diabetes mellitus, respectively. Antiplatelet or anticoagulant drugs were taken by 22.4%, 30.0%, and 30.2% of patients in groups A, B, and C, respectively. There was a definite history of head trauma in 71 cases (54.2%); 51.7%, 66.7%, and 48.8% of patients in groups A, B, and C had a history of trauma. No statistical difference between groups was noted regarding baseline characteristics such as age, sex, and history of hypertension, diabetes mellitus, trauma, or use of antiplatelet or anticoagulant drugs (Table 1).
Table 1

Baseline characteristics of groups in this study

FactorOverall patientsGroup AGroup BGroup Cp-value
No. of patients131583043

Mean age (years)687064680.488

Sex0.431
 Male85372226
 Female46151318

Hypertension51248190.863

Diabetes mellitus351310120.497

History of trauma713020210.861

Antiplatelet or anticoagulant drug35139130.365

Treatment failure

The rate of treatment failure was 8.4% (7 of 131) after the first burr hole operation for CSDH (Table 2). Treatment failures in groups A, B, and C were reported as 0 (0.0%), 3 (10.0%), and 4 (9.3%), respectively. Statistical evaluation of treatment failure rates showed a significant difference between groups A and B and groups A and C (p=0.037 and p=0.03, respectively), but there was no difference between groups B and C (p=1) (Tables 3 and 4).
Table 2

Clinical characteristics of CSDH patients with treatment failure

No.Age (years)SexCSDH siteDensity on CTSignal intensity on DW-MRIGroup in this studySite of ADC high signal bandRisk factorSymptomSurgical outcome after 1st operation (%)Day of re-operationFunctional prognosis after 3 months (mRS)
166FLeftHeterogeneousMixedCFrontalTrauma HxClopidogrelHeadache20244
261MLeftHeterogeneousMixedCFrontalHypertensionTrauma HxConfusion1974
379FLeftHomogeneous (iso-density)MixedBFronto-parietalDM Trauma Hx AspirinHeadache Right hemiparesis25184
462MLeftHomogeneous (iso-density)MixedBFronto-temporalNoneHeadache33213
556FLeftHomogeneous (low-density)MixedBFrontalHypertensionRight hemiparesis40243
679MLeftHeterogeneousMixedCFronto-parietalHypertension DM Trauma Hx ClopidogrelHeadache15196
781FRightHeterogeneousMixedCFronto-temporalDM Trauma HxHeadache25145

CSDH: chronic subdural hematoma, CT: computed tomography, DW-MRI: diffusion-weighted magnetic resonance imaging, ADC: apparent diffusion coefficient, mRS: modified Rankin Scale, F: female, Hx: history, M: male, DM: diabetes mellitus

Table 3

Group based on diffusion-weighted MRI and CT

GroupDensity on CTSignal intensity on DW-MRINo. of patientsSurgical outcome (% of brain expansion rate)Functional prognosis (mRS)Treatment failure



Good (>80%)Partial (50–80%)None (<50%)Good (0–2)Poor (3–6)YesNone
AHomogeneousHomogeneous5844113517058

BHomogeneousMixed3011910219327

CHeterogeneousMixed43326142221439

Total13158462794377124

MRI: magnetic resonance imaging, CT: computed tomography, DW-MRI: diffusion-weighted MRI, mRS: modified Rankin Scale

Table 4

Statistical comparisons between groups

Groupp-value
Surgical outcomeFunctional prognosisTreatment failure
A to B<0.0010.037
A to C<0.001<0.0010.03
B to C0.1290.1081.000

Analysis of surgical outcome for brain expansion

Analysis of surgical outcomes was performed in 131 patients; 58 patients (44.2%) had a good outcome, 46 (35.1%) had a partial outcome, and 27 (20.6%) had none. In group A, 44 patients (75.9%) had a good outcome, 11 (19.0%) had a partial outcome, and 3 (5.2%) had none. In group B, 11 (36.7%) had a good outcome, 9 (30.0%) had a partial outcome, and 10 (33.3%) had none. In group C, 3 (7.0%) had a good outcome, 26 (60.4%) had a partial outcome, and 14 (32.6%) had none. Statistical comparison of surgical outcomes showed a significant difference between groups A and B and groups A and C (p<0.001 for both comparisons). However, there was no statistically significant difference between groups B and C (p=0.129). Thus, groups B and C had poorer surgical outcomes than group A (Tables 3 and 4). Fig. 2 shows the postoperative CT results for each group.
Fig. 2

Postoperative computed tomography of each group in this study. A : Favorable surgical outcomes. B and C : Poor surgical outcomes.

Functional outcome

Overall, 37 patients (28.2%) had poor functional outcomes. In group A, 51 patients (88.0%) had a good functional outcome and 7 (12.1%) had a poor outcome. In group B, 21 patients (70.0%) had a good outcome and 9 (30.0%) had a poor outcome. In group C, 22 patients (51.2%) had a good outcome and 21 (48.8%) had a poor outcome. Statistical comparison of functional outcomes showed a significant difference between groups A and B and groups A and C (p=0.039 and p<0.001, respectively), but there was no significant difference between groups B and C (p=0.108). Therefore, groups B and C had poorer functional outcomes than group A, similar to the results for surgical outcome and treatment failure rates (Tables 3 and 4).

DISCUSSION

CT for CSDH

CT is useful for predicting CSDH outcome in several ways. CT is considered the most important diagnostic tool for CSDH, although conventional MRI has superior image quality4,6,16). In previous studies, it was reported that hematomas with homogeneous density are less likely to recur and hematomas with heterogeneous density have a greater likelihood of treatment failure1,4,9,13,19,24). Moreover, it has been reported that layering and mixed-density hematoma types have a marked tendency to rebleed, and that mixed- and high-density hematomas showed recent bleeding9,13,19,24). The incidence of CSDH recurrence in the high- and mixed-density groups was significantly higher than that in the low- and iso-density groups4,9,13,19,24). However, it was not possible to precisely predict treatment failure or postoperative outcomes based on preoperative CT findings alone, because the classification of CT findings can be subjective. In our study, the treatment failure rate in the heterogeneous density group (9.3%) based on preoperative CT scans was higher than that in the homogenous density group (3.4%). However, other than for functional outcome, there was no statistically significant difference between the two groups. The prediction of outcomes and treatment failure rates based on preoperative CT did not reflect the true treatment failure rates and postoperative surgical and functional outcomes in CSDH (Table 5).
Table 5

Outcome based on CT or DW-MRI only

No. of patientsSurgical outcome (% of brain expansion rate)Functional prognosis (mRS)Treatment failure



Good (>80%)Partial (50–80%)None (<50%)p-valueGood (0–2)Poor (3–6)p-valueYesNonep-value
Density on CT
 Homogeneous885520130.5067216<0.0013850.095
 Heterogeneous43326142221439
 Total13158462794377124

Signal intensity on DW-MRI
 Homogeneous5844113<0.0015170.0020580.017
 Mixed731435244330766
 Total13158462794377124

CT: computed tomography, DW-MRI: diffusion-weighted magnetic resonance imaging, mRS: modified Rankin Scale

DW-MRI for CSDH

DW-MRI is based on the movement of water molecules, and some changes in DW-MRI are indicative of changes in the water molecules3,10). Structured hematomas usually involve thick, fibrous, collagenous membranes and blood clots. Calcium, hemosiderin, and cholesterol accumulate in the membranes and trabeculae. In contrast, the liquid component appears as low signal intensity on DW-MRI, similar to that of normal cerebrospinal fluid5,10,12). Further subdivided by apparent diffusion coefficient (ADC) value, DW-MRI shows the liquid component of a subdural hematoma as low intensity, with a higher ADC value than the solid component, and the brain tissue as high intensity5,10,11). The ADC values of low-intensity areas on DW-MRI reflect a combination of cerebrospinal fluid and extracellular methemoglobin from the blood clot5,11). The high-intensity areas in a subacute hematoma on DW-MRI are believed to mainly consist of extracellular methemoglobin11). The low-intensity areas also match the high-intensity areas on conventional MRI (T1- and T2-weighted imaging)6,10,23). The low-intensity areas, based on ADC values, are considered to represent fluid containing extracellular methemoglobin, and are influenced by molecular water diffusion. A subdural hyperintense band on DW-MRI is considered to reflect comparatively recent hemorrhage from the outer membrane, and the ADC value of the hyperintense band is close to that reported for intracellular and/or extracellular methemoglobin5,10,11). The subdural hyperintense band on DW-MRI is conspicuous, in contrast to adjacent normal tissues, because the liquid components in CSDH appear with low intensity, and the dura mater appears with iso- and/or low intensity5,10,11). Consequently, a mixed signal intensity area and hyperintense band on DW-MRI indicate that CSDH has a solid component or relatively fresh bleeding. In our study, the postoperative outcomes and treatment failure rates of cases with mixed signal intensity were significantly different from those of the homogeneous type (Table 5). Several studies have shown that the type of signal intensity in DW-MRI is correlated with the risk of rebleeding3,5,10,11,12,23). Moreover, in some cases, CSDH with homogeneous density on CT shows mixed signal intensity on DW-MRI. Treatment failure rates in these cases are similar to those in cases of heterogeneous density on CT and mixed signal intensity on DW-MRI (Table 3). This may indicate that burr hole surgery for CSDH requires preoperative DW-MRI to predict the risk of treatment failure and postoperative outcomes. The benefits of conventional MRI versus CT in the evaluation of CSDH have already been outlined, especially in cases with homogeneous density on CT23). However, the longer time to acquire results and the higher cost are some of the advantages of conventional MRI6,12,23). DW-MRI and measurement of ADC values in CSDH were useful for rapid identification of solid and liquid hematomas in the subdural space10–12).

Other risk factors

Previous studies did not show a difference in treatment failure rates between male patients and female patients with CSDH4,8,16,24), but older patients had a higher risk of treatment failure4,9,14,16,24). There are few studies in the literature regarding the risk of high treatment failure rates in CSDH patients with hypertension4,14,17,24). Diabetic patients have capillary vasculopathy, and there is a significant capillary network on the outer membrane in CSDH4,9,17,24). Consequently, the vasculopathy may lead to hematoma recurrence. Other studies have reported that trauma is the most important factor in CSDH, with a greater likelihood of recurrence in patients with a history of trauma4,9,14,24). Moreover, the use of antiplatelet and anticoagulant drugs is strongly related to the occurrence and recurrence of CSDH2,4,17,21). There are several limitations of the current study. First, the number of patients was small. Second, this was a retrospective study and is therefore subject to potential sources of selection bias, in addition, there was no control group.

CONCLUSION

In this study, we divided patients into three groups, based on DW-MRI and CT findings, with the following results. CSDH with homogeneous density on CT showed mixed signal intensity on DW-MRI in some cases. In mixed signal intensity types of DW-MRI, treatment failure and poor outcome rates in CSDH were increased. Thus, in CSDH patients, performing DW-MRI helped to detect cerebral infarction at an early stage and predict postoperative treatment failure or outcome. Compared with conventional MRI, DW-MRI also had advantages with regard to the cost and time required to obtain results.

PATIENT CONSENT

The patient provided written informed consent for the publication and the use of their images.
  24 in total

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Authors:  Thomas Santarius; Peter J Kirkpatrick; Angelos G Kolias; Peter J Hutchinson
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2.  Outcomes and recurrence rates in chronic subdural haematoma.

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3.  Clinical analysis of risk factors related to recurrent chronic subdural hematoma.

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4.  Temporal changes in perihematomal apparent diffusion coefficient values during the transition from acute to subacute phases in patients with spontaneous intracerebral hemorrhage.

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Review 5.  Chronic subdural hematomas: a review.

Authors:  T M Markwalder
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6.  Outcome following surgical evacuation of traumatic intracranial haematomas in the elderly.

Authors:  A Jamjoom; R Nelson; G Stranjalis; S Wood; H Chissell; N Kane; B Cummins
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7.  Subdural hyperintense band on diffusion-weighted imaging of chronic subdural hematoma indicates bleeding from the outer membrane.

Authors:  Seikou Kuwahara; Masaaki Fukuoka; Yoko Koan; Hirohisa Miyake; Yuko Ono; Akihito Moriki; Koreaki Mori; Toshihiko Mokudai; Yasufumi Uchida
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8.  Diffusion-weighted imaging of patients with subacute cerebral ischemia: comparison with conventional and contrast-enhanced MR imaging.

Authors:  M Augustin; R Bammer; J Simbrunner; R Stollberger; H P Hartung; F Fazekas
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9.  Use of drains versus no drains after burr-hole evacuation of chronic subdural haematoma: a randomised controlled trial.

Authors:  Thomas Santarius; Peter J Kirkpatrick; Dharmendra Ganesan; Hui Ling Chia; Ibrahim Jalloh; Peter Smielewski; Hugh K Richards; Hani Marcus; Richard A Parker; Stephen J Price; Ramez W Kirollos; John D Pickard; Peter J Hutchinson
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10.  Magnetic resonance imaging findings predict the recurrence of chronic subdural hematoma.

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Review 2.  Radiological prognostic factors of chronic subdural hematoma recurrence: a systematic review and meta-analysis.

Authors:  Ishita P Miah; Yeliz Tank; Frits R Rosendaal; Wilco C Peul; Ruben Dammers; Hester F Lingsma; Heleen M den Hertog; Korné Jellema; Niels A van der Gaag
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