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vol. 52
 
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Original article
Abnormalities in the normal appearing white matter of the cerebral hemisphere contralateral to a malignant brain tumor detected by diffusion tensor imaging

Kai Kallenberg
,
Torben Goldmann
,
Jan Menke
,
Herwig Strik
,
Hans C. Bock
,
Alexander Mohr
,
Jan H. Buhk
,
Jens Frahm
,
Peter Dechent
,
Michael Knauth

Folia Neuropathol 2014; 52 (3): 226-233
Online publish date: 2014/09/26
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Introduction

Magnetic resonance imaging (MRI) plays a central role in the treatment algorithms of patients with brain tumors. While conventional MRI with T2, FLAIR, and contrast-enhanced T1-weighted sequences unravel the size, shape, and structure of lesions, the use of perfusion- and diffusion-weighted MRI adds information about the regional blood volume and microstructural architecture. Additionally, proton MR spectroscopy (MRS) gives insights into tissue composition and intracellular metabolism [15]. However, the technical progress in glioma imaging techniques seems to be ahead of the therapeutic achievements – initial promising results of local chemotherapy were overshadowed by reports of wound healing disorders and even deaths [9] and the lack of long-term effects. Probably, microinvasive expansion is the main reason why malignant brain tumors still cannot be cured with local treatment such as surgery, focal irradiation or local chemotherapy [10]. Several studies have reported the infiltrative growth of glioblastoma multiforme (GBM) cells in apparently unaffected brain regions remote from the confirmed primary lesion [5,17,24,32] without correlating changes on computed tomographic or MR images [20,38]. Diffusion tensor imaging (DTI) [2,14,34] and localized proton MRS provided subtle hints towards remote infiltration of GBM cells [4,14,18]. This work investigated the use of DTI and corresponding metrics as putative indicators of the invasiveness of malignant brain tumors.

Material and methods

The local ethics committee approved this work according to the Declaration of Helsinki. Written informed consent was obtained from all patients and control subjects. Prospectively, over a time period of 2 years pre-operative DTI was performed in all cases of suspected brain tumor. Only patients with newly diagnosed and post-operative definite histopathological confirmation of malignant brain tumor (astrocytoma WHO grade III or glioblastoma WHO grade IV) were included if there was no history of previous malignancies. Healthy age- and sex-matched volunteers without any relevant medical history, especially tumor or systemic chemotherapy, served as normal controls – patients and volunteers were matched on an individual basis. Data analyses were performed retrospectively.
Two neuroradiologists blinded to the study (J.H.B., A.M.) reviewed the clinical MR images and ruled out MRI evidence of tumor infiltration of the hemisphere contralateral to the tumor or other pathologies (e.g. malformations, enlarged perivascular spaces, calcifications or blood remnants). The standard clinical MRI protocol comprised T2, FLAIR, DWI, and T1 sequences without and with contrast agent. An extra set of T2w and PDw images was acquired from the volunteers to rule out relevant abnormalities. Minor unspecific or microvascular signal alterations of the white matter usually referred to as “age related” (Fazekas scale grade 1 [8]) were present in some patients and controls as well and were not excluded if there was no history of related symptoms and if the lesions did not exceed an estimated 10% of the complete ROI.

Magnetic resonance imaging

All examinations were performed on the same 3 Tesla-MR system (Magnetom Trio, Siemens, Erlangen/Germany). Anatomical imaging included T1-weighted three-dimensional fast low-angle shot (FLASH) sequence (time-to-repetition TR 11 ms; time-to-echo TE 4.9 ms; flip angle 15°; isotropic image resolution 1 × 1 × 1 mm3). Diffusion tensor imaging employed single-shot stimulated echo acquisition mode (STEAM) MRI without diffusion gradients and with 24 different diffusion gradient directions (b-value 1000 s/mm², 38 axial sections, 3 acquisitions) at 2.2 × 2.2 × 2.2 mm3 image resolution. For further details see [28].
STEAM MRI acquisition is negligibly sensitive to magnetic field inhomogeneity, so the undistorted STEAM images as well as the resulting fractional anisotropy (FA) maps and apparent diffusion coefficient (ADC) maps are spatially congruent to the anatomical images. Without the need for a co-registration or alignment technique, which is usually accompanied by a certain degree of blurring, the present work allowed for a direct digital superposition of corresponding data matrices [13]. After preprocessing applying a Neeman correction [25] region-of-interest (ROI) measurements were performed on FA and ADC maps applying the dedicated software package effective Diffusion Coefficient Navigator (DeffCoN, for details see [23]) [3,6,12,13]. Each ROI was manually defined first on the anatomic images (Fig. 1) and subsequently confirmed on FA and ADC maps: The ROI “HemisphereC” refers to the normal appearing white matter (NAWM) of the cerebral hemisphere contralateral to the tumor 2 mm cranial to the lateral ventricle preventing partial volume artifacts. The ROI “ROIC” denotes only the white matter in the contralateral hemisphere in an area mirroring the tumor site on the section with the largest tumor extends. ROIC was manually drawn to ensure confinement to white matter, since a simple mirror of the tumor would have included grey matter and/or CSF. In addition, the data from the tumor location (ROI of “tumor”) were acquired in a similar manner. The control ROIs were placed in both hemispheres of the age- and sex-matched controls in the same anatomical location as the patients’ ROIs. Then the mean of both control ROIs was compared to the patients’ data. Distinct emphasis was put on preventing partial volume effects, so that in cases of uncertainty the ROI was diminished and safety margins were considered. Differences in brain size or white matter volume resulted in minor ROI volume differences. The positioning was performed (T.G.) after adequate training and under supervision of an experienced neuroradiologist (K.K.). The person positioning the ROI and the supervising neuroradiologist were aware of the purpose of the study.

Statistical analyses

ADC and FA values of the patient group and the matched control group were compared using unpaired Student’s t-tests. Additionally, intra-individual differences between the study parameters ROIC vs. HemisphereC were analyzed by paired t-tests, both for the patient group and the control group. The significance level was generally set to p < 0.05.

Results

Fifty-two patients were scanned according to the MRI protocol. Sixteen did not match the inclusion criteria and had to be excluded (3 patients with lymphoma, 6 with metastasis and 7 with low-grade tumors: 5 WHO II, 2 WHO I). One patient with tumor spread into the contralateral hemisphere was also excluded. One patient terminated the examination intentionally and 3 had to be excluded because of motion artifacts.
The analysis comprised 31 patients who completed the MRI scan and fulfilled the inclusion criteria: 13 females, 18 males; mean age 56.9 years (22-77 years). The post-operative neuropathological diagnosis was astrocytoma WHO grade III in 8 cases and glioblastoma multiforme WHO grade IV in 23 cases. DTI datasets of 31 healthy age- and sex-matched volunteers served as the control (mean age 57.3 years [23-81 years]).
The FA values were significantly lower in the NAWM (HemisphereC) of the tumor patients compared to controls (p < 0.01). Accordingly, the ADC values for NAWM in the contralateral hemisphere were elevated (p < 0.01). This finding was particularly pronounced in the area ROIC mirroring the obvious tumor localization (Table I). In the healthy controls the study parameters HemisphereC and ROIC showed no significant intra-individual differences (Table II), and the same applied for the FA values in the tumor patients (p = 0.55). However, in the tumor patients the ADC values of ROIC were significantly higher compared to the ADC values of HemisphereC (p < 0.01).

Discussion

Glioma cells initially infiltrate or spread micro-invasively between and around neurons and penetrate into the fiber tracts of the white matter. In early stages, tumor infiltration leads to increased cellularity without destruction of neurons, and to neovascularization [29]. Diffusion tensor imaging metrics are sensitive to changes of fiber tract architecture on a microscopic level [26,34]. Glioma cells in the early invasion stages cause local displacement of parenchyma without neuronal damage [26], resulting in increased ADC values analogous to the characteristics of low-grade gliomas [7]. In an animal model lower FA and higher perpendicular diffusivity were demonstrated in the infiltration zone of a glioblastoma xenograft compared to normal white matter of the same animal [37]. Inglese et al. found an increase of the ADC in the contralateral cerebral hemisphere of glioma patients [14]. A negative correlation of cell number and percentage of tumor infiltration with FA was reported by other groups [30,33]. Accordingly, a low FA value in the hemisphere contralateral to the tumor, as found in the present work, is compatible with early stages of tumor infiltration. In the further course of disease, nerve cells may be destroyed and replaced by tumor cells [29], resulting in an ADC decrease [11] and an FA increase [1]. The latter finding might not be expected to be a specific sign of early tumor formation, because the FA is regarded as an unspecific parameter for fiber tract integrity. However, there is a certain order in tumor cell architecture of vital glioblastoma tissue that causes an increase of FA and kurtosis [27,37].
Glioma cell invasion depends on destruction of extracellular matrix components as well as on penetration between adjacent normal brain structures [35]. This causes an increase in diffusivity and thus facilitates an increase of the ADC value. Furthermore, the growth of a tumor in the CNS is associated with a disturbance of the blood-brain barrier, which leads to a vasogenic edema and an increase in parenchymal water content, which in turn increases the extracellular space and the tissue ADC value [21].
In the present study, in the tumor patients increased ADC values were more pronounced in the parenchyma mirroring the tumor area (ROIC) than in the entire contralateral hemisphere (HemisphereC). The corresponding FA differences were not significant. The ADC diffusion values underscore a mainly local effect and so make a uniform global brain edema improbable. The observed constellation may therefore be interpreted as infiltrating malignant cells at the time of MRI, in concordance with the previously described invasion pattern of malignant glioma cells along the fiber tracts of white matter [16]. The more pronounced ADC changes in ROIC suggest a preference of tumor spread to the corresponding mirrored contralateral brain parenchyma before expanding into the entire contralateral hemisphere (HemisphereC). A possible explanation would be spreading along the commissural tracts. This is in line with previous DTI studies [19,22] and the observation that remote tumor cells histopathologically match the primary glioma [32].
Abnormal FA or ADC values are not a proof of malignant transformation as they cannot differentiate between tumor and edema [31]. Apparent diffusion coefficient may be influenced by several parameters such as cellular density, existence and distribution of vasogenic edema, and tissue hypoxia [11]. The results in this study may, to some extent, also be attributed to diaschisis, which refers to metabolic and functional changes remote from the origin but communicating with the damaged focus via anatomical structures [36]. However, previous MRS findings in normal appearing white matter in tumor patients indicate the presence of proliferative processes [18].
The present results add further evidence of alterations of normal appearing brain parenchyma in the cerebral hemisphere contralateral to a malignant brain tumor. In the context of previous histopathological studies this effect may be interpreted as an indication of malignant cells. In the present study, however, no neuropathological data were collected to prove this hypothesis.

Conclusion

In patients with previously untreated anaplastic astrocytoma or glioblastoma, an increase of the apparent diffusion coefficient (ADC) and a reduction of fractional anisotropy (FA) were found in the brain parenchyma of the hemisphere contralateral to the tumor localization. In the absence of visible MRI abnormalities, this may be an early indicator of microstructural changes of the NAWM attributed to malignant brain tumor.

Disclosure

The authors (K.K., J.H.B. and P.D.) were supported by the Volkswagen Stiftung (Grants ZN1635 and ZN 2193). Authors report no conflict of interest.

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Copyright: © 2014 Mossakowski Medical Research Centre Polish Academy of Sciences and the Polish Association of Neuropathologists. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
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