Abstract
BACKGROUND AND PURPOSE:
Epileptogenesis in NCC is associated with perilesional inflammation and disruption in BBB. We quantified BBB in different stages of NCC by using DCE-MR imaging to look for the differences in perfusion indices and to correlate these indices with serum MMP-9 expression.
MATERIALS AND METHODS:
DCE-MR imaging along with conventional MR imaging was performed in 57 single cysticercous brain lesions to quantify the kep, Ktrans, and ve around the lesions, which were in different stages of evolution. There were 6 lesions in the vesicular stage and 17 lesions each in the colloidal, granular-nodular, and calcified stages. Serum MMP-9 was quantified from all patients, whereas perfusion indices were quantified from all stages except for the vesicular stage.
RESULTS:
We observed significant differences among the 3 stages of NCC in serum MMP-9 expression as well as DCE-derived kep values. In addition, kep showed a strongly significant positive correlation with MMP-9 expression when modeled with the individual stage of the disease as well as with all stages when pooled together. Other DCE-derived hemodynamic and pharmacokinetic parameters showed inconsistent differences with each stage of the disease. The correlation of DCE-derived parameters with serum MMP-9 expression and edema volume also showed inconsistency with the stage of the disease.
CONCLUSIONS:
We conclude that kep correlates best with serum MMP-9 expression among the pharmacokinetic indices and most closely represents the degree of BBB breakdown, which is highest in the colloidal stage and lowest in the calcified stage. kep may be used as a noninvasive image biomarker of BBB breakdown in different stages of NCC.
NCC is a common central nervous system parasitic infection caused by the larval form of Taenia solium. Cysts in humans preferably lodge in the brain and spinal cord, eyes, skeletal muscle, and subcutaneous tissues.
In the brain parenchyma, the cysticercus larva passes through 4 stages.1 In the vesicular stage, the larva appears as a cyst filled with clear fluid. This cyst has an eccentric scolex. The live cyst evokes no demonstrable inflammatory reaction. In the next stage (colloidal), inflammatory changes develop in the cyst wall and surrounding brain parenchyma because the osmotic barrier of the cyst wall breaks down. There is an intense inflammatory reaction in the surrounding brain parenchyma. The cyst wall gets progressively thickened, and hyaline degeneration and mineralization of the cyst take place. Progressive reduction in the size of the cyst, mineralization of cystic fluid, and disintegration of the scolex lead to development of a granular-nodular stage. Perilesional gliosis of brain tissue may also be seen. Ultimately, the whole cyst may be completely mineralized, resulting in a calcified stage.
Perilesional inflammation and alteration in the BBB permeability play an important role in the epileptogenesis associated with neurocysticercosis.2–6 Many neuroinflammatory cytokines and chemokines such as intercellular adhesion molecule, interleukin-1 beta, tumor necrosis factor-alpha, and matrix metalloproteinases have been shown to be involved in the process of inflammation around the cysticercal lesion.2,3,5,7,8 MMP-2 and MMP-9 are the 2 most widely studied MMPs, which have been shown to be critical in regulating blood-brain barrier permeability.6,8 MMP-2 and MMP-9 have been demonstrated to play an important role in the development of symptoms in patients with NCC.8,9
It is not possible to quantify blood-brain barrier disruption by using conventional MR imaging. T1- DCE-MR imaging allows for the quantification of the physiologic indices: kep, Ktrans, and ve, which are directly related to the integrity of the blood-brain barrier.6,10,11 DCE-MR imaging indices have been used to measure neoangiogenesis as well as the degree of BBB disruption in brain infection.10–12 The pharmacokinetic indices have also been shown to correlate with MMP-9 expression.6,10
We hypothesized that the degree of blood-brain barrier disruption varies from the vesicular stage to the calcified stage of the cysticercal cyst, and its quantification can help us to assess the degree of inflammation around the cyst. In our study, we evaluated DCE-MR imaging in patients with different stages of the cysts to look for differences in the perfusion indices, serum MMP-9 expression, and the degree of perifocal edema. We also looked for the relationship among perfusion indices, serum MMP-9 expression, and perifocal edema, with an aim to establish these perfusion indices as noninvasive image biomarkers of quantitative BBB disruption across the different stages of NCC.
Materials and Methods
We prospectively studied 57 patients with a single cysticercus lesion of the brain. Of these 57 patients, 51 had presented with new-onset seizures. Calcification was also reconfirmed on CT scan. We also included 6 asymptomatic patients showing the vesicular stage from the ongoing study for screening of NCC in a pig farming community. In addition, we included 10 healthy age- and sex-matched control participants to have their serum analyzed for MMP-9 estimation. The institutional ethics committee approved the study.
Imaging Characteristics of Different Stages of NCC
Cysticercous lesions were considered to be in the vesicular stage when the intensity pattern of the cyst fluid was similar to the CSF on all imaging sequences, along with the presence of a mural nodule and no surrounding edema on T2-weighted/fluid-attenuated inversion recovery images. Because the vesicular stage of these lesions does not show breakdown in the BBB and, hence, no contrast enhancement or quantifiable values of pharmacokinetic indices, we excluded 6 patients from the analysis for the purpose of BBB breakdown quantification. However, these patients as well as control participants were included for comparison of serum MMP-9 levels.
When the cystic appearance of the lesion was distinguishable by a capsule in association with perifocal edema, the cysticercus lesions were considered to be in the colloidal stage. On T2-weighted/FLAIR images, the fluid content showed a slightly higher signal than CSF. The capsule showed a slightly higher signal than the adjacent brain on T1-weighted images, a low-ring signal on T2-weighted images, and ring enhancement on postcontrast T1-weighted images. In the granular-nodular stage, the lesions were seen with a hypointense rim and a hyperintense or isointense core along with surrounding brain edema on T2-weighted images. Their rim and core were isointense or hypointense on corresponding T1-weighted images. The lesions were considered calcified when these appeared hypointense on T2-weighted images. The calcification was also confirmed on T2*-weighted angiography (SWAN) and CT images.
Data Acquisition
All study participants underwent both conventional and DCE-MR imaging on a 3T Signa HDxt MR imaging scanner (GE Healthcare, Milwaukee, Wisconsin). A 12-channel head coil was used. Conventional imaging included fast spin-echo T2-weighted images with a TE of 88 ms, a TR of 4400 ms, and number of excitations of 1; T2-weighted FLAIR with a TE of 140 ms, a TR of 9000 ms, NEX 1, and a TI of 2250 ms; T1-weighted FLAIR with a TE of 75 ms, a TR of 1600 ms, NEX of 1, and a TI of 820 ms; and postcontrast T1-FLAIR with identical parameters as that of precontrast T1-FLAIR imaging. All of these images were acquired with a field of view of 240 × 240 mm2 and 3-mm section thickness without any intersection gap. In addition, we acquired images using the SWAN sequence (T2 star-weighted angiography; GE Healthcare) with a TE of 25 ms, a TR of 47 ms, flip angle of 15°, section thickness of 2.4 mm, acquisition matrix of 320 × 224, and an FOV of 240 × 240 mm2 to ensure that the lesion was solitary and to demonstrate the scolex in the lesion that is pathognomonic of the disease.13
DCE-MR imaging was performed with a 3D spoiled gradient-recalled sequence (TR, 50 ms; TE, 21 ms; flip angle, 10°; NEX, 0.7; section thickness, 6 mm; FOV, 240 × 240 mm; matrix size, 128 × 128 mm; and number of phases, 32). At the start of the fourth acquisition, gadolinium-diethylene-triamine pentaacetic acid bis-methylamide (Omniscan, GE Healthcare) was administered intravenously through a power injector (Optistar LE; Mallinckrodt/Covidien, Hazelwood, Missouri) at 5 mL/s and a dose of 0.2 mmol/kg body weight, followed by 30 mL of saline flush. A series of 384 images during 32 time points for 12 sections were acquired (temporal resolution, 5.65 s). Before 3D spoiled gradient-recalled, T1-weighted FSE (TR, 375 ms; TE, 9.4 ms; NEX, 1; section thickness, 6 mm; FOV, 360 × 270 mm; and matrix size, 256 × 256 mm), fast double spin-echo proton-attenuation–weighted and T2-weighted (TR, 3500 ms; TE1, 25 ms; TE2, 85 ms; NEX, 1; section thickness, 6 mm; FOV, 360 × 270 mm; and matrix size, 256 × 256 mm) imaging were performed for the same section position to quantify voxelwise precontrast tissue longitudinal relaxation time (T10).11 Before MR imaging, a conventional CT scan in the axial plane from the vertex to the base of the skull was also performed to confirm the presence of calcification.
MR Imaging Data Processing and Quantitative Analysis
Voxelwise tissue longitudinal relaxation time, T10, was calculated from T1, T2, and proton attenuation-weighted images obtained by FSE sequences, as described previously.11 Quantitative analysis of the concentration-time curve was performed for calculating cerebral blood volume and cerebral blood flow. A 2-compartment pharmacokinetic model was used to calculate Ktrans, kep, and ve. We generated corrected CBV maps by removing the contrast agent leakage effect caused by disrupted BBBs.14 For the calculation of perfusion indices, a kep map showing abnormal regions around the lesion were segmented, and the resulting mask was overlaid on CBV and CBF maps to obtain CBV, CBF, Ktrans, and ve values. We quantified relative CBV (rCBV) and CBF (rCBF) by placing the same-size region of interest on the contralateral (healthy) side of the brain. We then quantified edema volume by calculating its visible area on all of the sections of FLAIR images. Two of the authors (R.A., P.S.), who were blinded to the patient clinical and imaging features, analyzed the data independently. There was no significant intersubject variation in the values quantified by both of these authors.
Collection of Serum Sample
We collected peripheral venous blood samples (3 mL) from all of the participants. Sera were separated, and aliquots were made and stored at −80°C until further use.
Serology Studies
Commercially available enzyme-linked immunosorbent assay (IVD Research, Carlsbad, California) and electroimmunotransfer blot were performed to detect anticysticercal antibodies in the serum. For electroimmunotransfer blot, T solium cyst fluid was used as the antigen.
Serum MMP-9
Commercially available enzyme-linked immunosorbent assay kits (R&D Systems, Minneapolis, Minnesota) were used to determine serum MMP-9 concentrations. All samples were measured in triplicate. According to the manufacturer's recommendations, the serum samples were diluted to a ratio of 1:100 with use of an assay buffer. The detection limit of the kit for MMP-9 is 0.31 ng/mL.
Statistical Analysis
To compare the mean values of perfusion parameters and MMP-9 for the 3 stages of NCC, we proposed 1-way analysis of variance, assuming that means of kep, Ktrans, rCBV, and MMP-9 would be equal for all stages of NCC. The size of variation in these means is represented by their SD. The common SDs within a group for kep, Ktrans, rCBV, and MMP-9 were assumed to be 0.7, 0.07, 1.0, and 250, respectively. The total sample size for our study for various perfusion parameters and MMP-9 on the basis of the above assumptions was computed and found to be between 33 (11 each) and 42 (14 each) patients. The requirement for kep and Ktrans was found to be the maximal number that satisfies the assumption of other parameters. Considering that approximately 10% dropped out of the study, we found that the minimal number of patients required was 48 (16 in each group).
To compare various perfusion indices and serum MMP-9 expression in different stages of NCC, we performed 1-way analysis of variance using Bonferroni post hoc multiple comparisons. To compare edema volume in patients with stage 2 and 3 NCC, we used the Student t test for independent samples. In addition, the Pearson correlation coefficient was also performed to look for the association among perfusion indices, MMP-9 expression, and edema volume for each stage of NCC separately.
Results
Clinical Evaluation
All patients with single cysticercal lesions had a new-onset seizure disorder. Patients with calcified lesions also presented with seizure disorders of varying duration (range, 2 weeks to 9 months).
Serology Results
A total of 39 of 57 patients tested seropositive for T solium on T solium cyst fluid-based electroimmunotransfer blot for 1 or more bands of <50kDa. However, enzyme-linked immunosorbent assay showed that 28 of 57 patients tested seropositive for anticysticercal antibody.
Lesion Distribution on Imaging and Association with Seizure Semiology
A total of 24 lesions were present in the frontal lobe, and 19 were found in the parietal lobe. In the remaining 8 patients, the parasite was located in the occipital region. Thirteen patients with frontal lobe lesions and 9 with parietal lobe lesions had contralateral focal motor seizures. Two patients with occipital lobe lesions had short-lasting visual flashes. Four patients with parietal lobe lesions had tingling sensations involving the contralateral limbs followed by secondary generalized tonic-clonic seizures. One patient with a frontal lobe lesion had a focal-onset seizure involving the contralateral lower limb followed by secondary generalization.
The patients with vesicular-stage lesions (n = 6) were asymptomatic and were recruited from the ongoing study for screening of NCC in a pig farming community. The lesion distribution in these patients was frontal (n = 3), occipital (n = 2), and temporal (n = 1).
Among 51 lesions, 17 were from the vesicular colloidal stage and 17 were from the granular-nodular and calcified stages each.
DCE-MR Imaging Metrics and Perifocal Edema Quantification
The mean values of all of the perfusion indices and edema volume are summarized in Table 1. The values of the perfusion indices decreased significantly from the colloidal to the calcified stage (Figs 1–3). Edema volume also decreased significantly from the colloidal to the granular-nodular stage. Bonferroni post hoc multiple comparisons showed (Table 2) significant differences in the colloidal and calcified stages in all perfusion indices. Significant differences were observed in the granular and calcified stages in all perfusion indices except for rCBV values. The rCBV and kep showed significant differences in the colloidal and granular-nodular stages.
Table 1:
NCC Stages | rCBF | rCBV | kep (min−1) | Ktrans (min−1) | ve | MMP-9 (ng/mL) | Edema (cc) |
---|---|---|---|---|---|---|---|
Colloidal | 3.53 ± 1.05 | 2.91 ± 1.67 | 1.44 ± 0.48 | 0.16 ± 0.11 | 0.11 ± 0.08 | 796.4 ± 273.7 | 18.1 ± 11.5 |
Granular-nodular | 3.02 ± 1.36 | 1.94 ± 0.94 | 0.96 ± 0.22 | 0.10 ± 0.07 | 0.10 ± 0.07 | 569.3 ± 295.6 | 4.3 ± 1.9 |
Calcified | 1.28 ± 0.23 | 1.21 ± 0.28 | 0.63 ± 0.36 | 0.02 ± 0.01 | 0.04 ± 0.04 | 214.3 ± 77.1 | − |
*P value | <.001 | <.001 | <.001 | <.001 | .005 | <.001 | <.001* |
Note:—Min indicates minutes.
Showing statistical significance on the Student t test. Other values are from 1-way analysis of variance.
Table 2:
Variable | Group A vs Group B |
Mean Difference | 95% CI |
P Value | ||
---|---|---|---|---|---|---|
A | B | Lower Bound | Upper Bound | |||
rCBF | Colloidal | Calcified | 2.25 | 1.40 | 3.10 | <.001 |
Gran Nod | Calcified | 1.74 | 0.89 | 2.59 | <.001 | |
rCBV | Colloidal | Gran Nod | 0.97 | 0.018 | 1.93 | .045 |
Colloidal | Calcified | 1.67 | 0.74 | 2.65 | <.001 | |
kep | Colloidal | Gran Nod | 0.49 | 0.17 | 0.80 | .001 |
Colloidal | Calcified | 0.82 | 0.51 | 1.13 | <.001 | |
Gran Nod | Calcified | 0.33 | 0.02 | 0.65 | .034 | |
Ktrans | Colloidal | Calcified | 0.14 | 0.07 | 0.20 | <.001 |
Gran Nod | Calcified | 0.08 | 0.014 | 0.14 | .012 | |
ve | Colloidal | Calcified | 0.07 | 0.017 | 0.13 | .006 |
Gran Nod | Calcified | 0.06 | 0.001 | 0.11 | .044 | |
MMP-9 | Colloidal | Gran Nod | 227.14 | 25.6 | 428.63 | .022 |
Colloidal | Calcified | 582.13 | 380.64 | 783.62 | <.001 | |
Gran Nod | Calcified | 354.98 | 153.49 | 556.47 | <.001 |
Note:—Grand Nod indicates granular-nodular; CI, confidence interval.
Serum MMP-9 Quantification
Serum MMP-9 expression was highest in the colloidal stage followed by the granular-nodular, calcified, and vesicular stages (Fig 4, Table 1). The serum MMP-9 levels were significantly lower in control, vesicular, and calcified stages compared with the colloidal and granular-nodular stages. Multiple comparisons with Bonferroni correction for serum MMP-9 expression showed significant differences in the colloidal, granular-nodular, and calcified stages (Table 2).
Relationship Between Imaging Measures and Serum MMP-9 Expression
On the Pearson correlation analysis, kep showed a strong and significant correlation with serum MMP-9 expression (Fig 5), in all of the clinically active stages of the disease individually [colloidal stage (r = 0.62 and P < .01), granular-nodular stage (r = 0.52 and P = .03), and calcified stage (r = 0.64 and P < .01)], as well as when modeled by pooling all of the stages together [(r = 0.74 and P < .01)] (Fig 5). MMP-9 expression correlated significantly with rCBF (r = 0.51 and P < .01), Ktrans (r = 0.71 and P < .01), and ve (r = 0.36 and P < .01), as well as edema volume(r = 0.69 and P < .01) when all of the data from the 3 stages were modeled together. Edema volume correlated significantly with rCBF (r = 0.48 and P < .001), rCBV (r = 0.50 and P < .001), kep(r = 0.57 and P < .001), and Ktrans (r = 0.50 and P < .001), as well as serum MMP-9 expression when the colloidal and granular-nodular stages of the disease were combined. However, no significant correlation of edema volume with perfusion indices was found in the colloidal and granular-nodular stages when tested for the individual stage of the disease. However, significant correlation was observed between edema and MMP-9 (r = 0.91; P < .001) in the granular-nodular stage of the disease.
Discussion
In the current study, we observed significant differences among the 3 stages of NCC in serum MMP-9 expression as well as DCE-derived kep values. In addition, kep showed a strong and significant positive correlation with MMP-9 expression when modeled with the individual stage of the disease as well as when all stages were pooled together. Other DCE-derived hemodynamic and pharmacokinetic parameters showed inconsistent differences with each stage of the disease. The correlation of DCE-derived parameters with serum MMP-9 expression and edema volume also showed inconsistency with the stage of the disease.
The vesicular stage of the disease is considered as innocuous because it does not cause any perifocal inflammation, which is a prerequisite for the development of seizures.13,15,16 It is not associated with alteration in BBB and does not show any perilesional enhancement after contrast administration.15,16 In the current study, we did not observe any quantifiable changes in the pharmacokinetic indices kep, Ktrans, and ve and did not observe any peripheral enhancement on postcontrast study, reconfirming the vesicular stage of the disease. The insignificant difference in the serum MMP-9 values between patients with vesicular-stage disease and healthy control participants further confirms the integrity of the BBB.
The colloidal stage of NCC is usually associated with intense perilesional inflammation and an increased breach in the BBB.15,16 This stage is associated with the development of seizures. Postcontrast study usually shows rim enhancement. MMP-9 expression is known to get up-regulated in inflammation and is associated with breakdown in the BBB.2,3,8,17 A link exists between the degree of inflammation and BBB breakdown. We observed the highest values of kep, Ktrans, and ve (Fig 1), which are the measures of BBB breakdown, in this stage of the disease. These changes are associated with maximal up-regulation of serum MMP-9 expression, which confirms that the inflammation is intense at this stage and shows the maximal breach in the BBB and correlates with it.
The granular-nodular stage of NCC shows inflammation that is less intense than the colloidal stage and is also associated with seizures.15,16 There is a breakdown in the BBB, as suggested by the rim/disk enhancement on postcontrast study. We observed the presence of BBB breakdown as evidenced by the increase in kep, Ktrans, and ve (Fig 2) and increase in serum MMP-9 levels. The lower values of DCE, serum MMP-9 expression, and perifocal edema volume in this stage compared with those of the colloidal stage are in line with the observations made on histologic examination in animal studies.3–5
The calcified stage is considered the inactive stage of the disease and is usually labeled as the dead parasite.13 Recently, its role in epileptogenesis and intractability of the seizures in these patients has been realized.6,18 Indeed, some of the calcified lesions are associated with enhancement as well as with perifocal edema.6,18 Recently, it has been shown that there may be quantifiable BBB breakdown in these lesions, even in the absence of enhancement as well as the absence of perifocal edema. Therefore, this may help to differentiate the asymptomatic from the symptomatic calcified stage of the disease.6 In our study, though, the breakdown in the BBB was the least in calcified stage among these 3 clinically active stages of NCC that are known to cause seizures in these patients. However, these still showed enough inflammation to cause quantifiable breakdown in the BBB (Fig 3).
kep has been shown to be the best parameter for BBB breakdown in many neoplastic and infective conditions.6,19,20 We found kep as the best parameter to measure the BBB in different stages of NCC and showed a significant difference among the 3 clinically symptomatic stages: highest in the colloidal stage and lowest in the calcified stage (Table 1). Its strong and significant positive correlation with serum MMP-9 levels in the individual stage as well as when pooled together suggests that it may be used as an image biomarker of BBB permeability in different stages of NCC (Fig 5). It may be argued that DCE-MR imaging may be substituted by serum MMP-9 as a marker of BBB disruption, as there is a significant correlation between these 2 parameters. It is well known that serum MMP-9 levels become elevated in many non-neurologic conditions (eg, hypertension, diabetes mellitus, and atherosclerosis) and are therefore nonspecific. DCE-MR imaging measures BBB disruption specific to the lesion under investigation and, hence, adds value to both conventional MR imaging and serum MMP-9 measurements.
The degenerative stage of NCC is associated with neoangiogenesis. The neovasculature is activated secondary to the up-regulation of inflammatory cytokines, including vascular endothelial growth factor. We observed the highest values of rCBV and rCBF in the colloidal stage followed by the granular-nodular and calcified stages. rCBV is considered a marker of neoangiogenesis in tumors as well as infection.10–12 Our study reconfirms the presence of neoangiogenesis in the clinically symptomatic stages of NCC, including the calcified stage of the disease.
Conclusions
kep shows significant differences among all of the clinically active stages of NCC and is highest in the colloidal stage and lowest in the calcified stage. Correlation of kep at all of the stages of the disease with MMP-9, a marker of BBB breakdown, suggests that it may be used as a noninvasive image biomarker of BBB in the different stages of NCC. These data may form the basis of quantification of disease activity and its relationship with epileptogenesis in the future while patients are objectively assessed for therapeutic response to anticysticidal and antiepileptic therapy.
Acknowledgments
R.A. acknowledges the Indian Council of Medical Research, New Delhi, India (No. 3/1/JRF/43/MPD/2007;33342) for financial support.
ABBREVIATIONS:
- kep
rate transfer constant
- Ktrans
volume transfer coefficient
- DCE
dynamic contrast-enhanced
- MMP
matrix metalloproteinase
- NCC
neurocysticercosis
- ve
leakage volume
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