Abstract
It is recognized that IDH mutation negative, low-grade epilepsy associated tumors (LEAT) can show diffuse growth patterns and lack the diagnostic hallmarks of either classical dysembryoplastic neuroepithelial tumors (DNT) or typical ganglioglioma. “Nonspecific or diffuse DNT” and more recently “polymorphous low-grade neuroepithelial tumor of the young” have been terms used for these entities. There are few reports on the MRI recognition of these diffuse glioneuronal tumors (dGNT), which is important in planning the extent of surgical resection. In 27 LEATs T1, T2, FLAIR, and postcontrast T1 MRI were evaluated and the pathology reviewed, including immunostaining for NeuN, CD34, MAP2, and IDH1. Each case was then independently classified by pathology or MRI as simple DNT, complex DNT, or dGNT. There was agreement in 23/27 (85%; Kappa score 0.62; p < 0.01). In 4 cases, there was discrepancy in the diagnosis of simple versus complex DNT but 100% agreement achieved for dGNT. DNT showed significantly more expansion of the cortex, cystic change and ventricle extension than dGNT. dGNT showed significantly more subcortical T2w hyperintensity and focal cortical atrophy which correlated on pathology with CD34 expression, cortical neuronal loss and white matter rarefaction. There was no distinct cortical dysplasia component identified by MRI or pathology in any case. This study highlights that dGNT can be reliably discriminated on MRI from DNT.
Keywords: Dysembryoplastic neuroepithelial tumors (DNT), Long-term epilepsy associated tumors, MRI
INTRODUCTION
Dysembryoplastic neuroepithelial tumors (DNT) and gangliogliomas are the most frequent types of long-term epilepsy-associated tumors (LEATs) encountered in epilepsy surgical series (1, 2). Common to both are their low-grade behavior (equivalent to WHO grade I), mixed glioneuronal composition and temporal lobe location, with epilepsy often presenting in childhood to young adulthood (age range in large series at diagnosis: 4–34 years in DNT (3) and 4–33 years in ganglioglioma (4)) that is refractory to medical treatment. DNT have been histologically divided into simple and complex forms, both containing the pathognomonic specific glioneuronal element composed of oligodendrocyte-like cells (OLC) but lacking the dysmorphic ganglion cell component of gangliogliomas (5).
It has long been recognized, however, that a subset of LEATs, representing up to 35% of cases in epilepsy tumor series (1), are difficult to classify microscopically, composed primarily of OLC but showing diffuse, infiltrative, cortical growth patterns, and lacking the specific criteria for either DNT or ganglioglioma (6–11). Although their existence is recognized, they remain “controversial” in the recently revised 2016 WHO classification of CNS tumors (5) and the exact terminology for these lesions in the spectrum of LEATs remains undecided (2, 12). “Nonspecific DNT” (10), “diffuse DNT” (6, 7, 11), “diffuse-oligodendroglial tumor” (13), and more recently “polymorphous low-grade neuroepithelial tumor of the young” (PLNTY) (14) are terms that have been used for what is likely to be the same tumor group. Indeed, pathology descriptions corroborate similar features: Widespread cortical or hippocampal involvement beyond the main tumor mass, CD34 expression and acquisition of degenerative and atrophic changes, as rarefaction and cavitation of the white matter (1, 6, 7, 11, 14). Recent molecular genetic studies have also shown high frequency of mutations in RAS–RAF–MAPK and PI3K–AKT–mTOR pathways linking this group of tumors (2). For this current study, for simplicity, we adopt the generic term “diffuse glioneuronal tumor” (dGNT) to encompass these lesions. We do not propose this term dGNT as a new nomenclature for these tumors but merely as a “descriptor” to distinguish them from conventional DNT types for the purposes of this study.
There are, however, few studies documenting the MRI characteristics of dGNT. One study highlighted their poor-delineation with grey-white matter blurring and subcortical signal changes and “cortical dysplasia”-like features that contrasted to the cystic/nodular appearances of typical DNT (15). Indeed, the widespread cortical infiltrative nature of dGNT may have led to an overinterpretation of co-existing dysplasia with these tumors (focal cortical dysplasia [FCD]-type IIIb (16)), both by MRI and pathology, accounting for the wide variation in its reporting over the years (6, 9, 17–21). Therefore, improved MRI recognition of dGNT is paramount, both for accurate pre-operative diagnosis and future surgical management when planning the extent of resection, in view of their typically more extensive involvement (22).
The aim of this study was to retrospectively evaluate the MRI features in a recently operated series of LEATs from an epilepsy surgical series to correlate this with histology features and pathology diagnosis of tumor type. We aimed to identify MRI criteria that could reliable discriminate dGNT from DNT as well as assess the frequency of any co-exiting cortical dysplasia.
MATERIALS AND METHODS
Cases were selected retrospectively through the neuropathology database at the National Hospital of Neurology and Neurosurgery of adult patients who had undergone surgical treatment for management of refractory epilepsy due to an underlying low-grade tumor. The study has ethical approval through the UCL Epilepsy brain and tissue bank (REC12SC0669). We included cases with a histological diagnosis of DNT or LEATs with diffuse growth patterns from 2008 to 2014 where there was consent for research and where optimal pre-operative imaging was available for review. This included availability of the following sequences acquired with 1.5 T or 3 T MR scanners: Sagittal (T1, T2, FLAIR), axial (T2, T2*, T1 post contrast, and DWI, 5 mm thickness), coronal (T2 and FLAIR, 2 mm), and T1 MPR (multiplanar reconstruction) sagittal 1 mm reformatted in axial and coronal plane. We did not include other glioma types in patients without refractory epilepsy and we did not include series of typical gangliogliomas or pediatric gliomas. This selection process resulted in a final group of 27 cases available to study (Table 1). In 19/27 cases interval pre-operative MRI images were available to assess any tumor changes or progression.
TABLE 1.
Case for Table | Age at Time of Surgery (Years) | Gender | Main Location of Lesion on MRI | MRI Diagnosis | Tissues Resected as Samples for Histology | Anatomical Regions of Samples with Tumor | Pathology Diagnosis |
---|---|---|---|---|---|---|---|
1 | 39 | F | L Amyg | COMPLEX DNT | AMYG, Le, TL, HB, PHG, PES, CUSA | Amyg, small focus In TL | COMPLEX DNT |
2a | 26 | F | R parietal | SIMPLE DNT | Fragments of Le | All tissue samples | COMPLEX DNT |
3 | 22 | F | L superior frontal gyrus | COMPLEX DNT | Fragments of Le | All tissue samples | COMPLEX DNT |
4 | 20 | F | R Amyg, HB | COMPLEX DNT | TL, Le, HB, PES, CUSA | ITG, Le, PES | COMPLEX DNT |
5 | 35 | M | R PHG, FG, ITG | COMPLEX DNT | COMPLEX DNT | ||
6 | 61 | M | L medial temporal lesion | COMPLEX DNT | TL HB, PHG, PES, CUSA | ITG, HB, PES | COMPLEX DNT |
7 | 42 | F | R parietal lobe | COMPLEX DNT | Le, CUSA | In samples of Le | COMPLEX DNT |
8a | 28 | M | R medial temporal lesion | SIMPLE DNT | TL and Le | COMPLEX DNT | |
9 | 43 | F | R MTG | dGNT | Le and CUSA | In samples of Le | dGNT |
10 | 17 | F | R FG | dGNT | TL, HB, PES, CUSA (2) | TL only | dGNT |
11 | 31 | M | L ITG, FG | dGNT | LE, CUSA | In samples of Le | dGNT |
12 | 48 | F | L mesial temporal lesion | dGNT | TL, HB, Le, PHG, CUSA | TL, ITG, HB, Le, PHG | dGNT |
13 | 31 | F | R occipital lobe | dGNT | Le | In samples of Le | dGNT |
14 | 16 | M | L STG | dGNT | Le and CUSA | In samples of Le | dGNT |
15 | 26 | F | R PHG | dGNT | TL, HB | ITG, PHG, HB | bdGNT |
16 | 31 | M | L PHG | dGNT | TL, HB, PES, Le, CUSA (2) | TL, HB, Le | bdGNT |
17 | 26 | F | L PHG | dGNT | TL, HB, PHG, PES, CUSA | TL (ITG) HB, PHG, CUSA (NOT PES) | bdGNT |
18 | 35 | M | R STG | dGNT | TL, HB, PHG, PES, Le, CUSA | TL and Le | bdGNT |
19 | 18 | M | L Amyg | dGNT | TL, HB, PHG, PES, Le, CUSA | PHG, FG, Le, Temporal pole, HB, PES | cdGNT |
20 | 24 | M | L MTG | dGNT | Le and CUSA | All tissue samples | cdGNT |
21 | 40 | M | L PHG | dGNT | TL, HB, PES, Le, CUSA (2) | PHG, HIPPO, TL | cdGNT |
22a | 41 | M | R MTG | COMPLEX DNT | Le, TL, HB, PHG, PES, CUSA | Le and CUSA | SIMPLE DNT |
23 | 52 | F | L frontal rectus gyrus | SIMPLE DNT | Le | In all samples of Le | SIMPLE DNT |
24 | 60 | F | R PHG | SIMPLE DNT | TL, HB, PHG, PES, AMYG, CUSA | PHG | SIMPLE DNT |
25a | 31 | M | L supramarginal gyrus | COMPLEX DNT | Fragments of Le | In all samples of Le | SIMPLE DNT |
26 | 26 | F | R MTG | SIMPLE DNT | Fragments of Le | In all samples of Le | SIMPLE DNT |
27 | 27 | M | L STG | SIMPLE DNT | Fragments of Le | In all samples of Le | SIMPLE DNT |
The confirmed MRI and pathology diagnosis following review are highlighted in 2 columns. dGNT = diffuse glioneuronal tumor, L = left, R = right, Le = samples from main lesion/lesionectomy, TL = anterior temporal lobectomy (including temporal pole, middle temporal gyrus [MTG], inferior temporal gyrus [ITG] and part of fusiform gyrus [FG], and superior temporal gyrus [STG]), HB = hippocampal body, PHG = parahippocampal gyrus, PES = pes hippocampus, Amyg = amygdala, CUSA = cavitron ultrasonic aspiration samples (either from lesion, amygdala or PHG).
Indicates cases where there was a mismatch between the pathology and the MRI diagnosis.
dGNT had a focal ganglioglioma component.
Cases had a diffuse pattern but with some mixed components of conventional DNT.
Neuropathological Evaluation
The pathology macroscopic images and histology was reviewed for each case by one neuropathologist (M.T.) on all available histological slides including hematoxylin and eosin (H&E), Luxol fast blue/cresyl violet, and available immunohistochemistry stains including NeuN, neurofilament (SMI32, 31), MAP2, synaptophysin, CD34, IDH1, Ki67 and molecular pathology studies including 1p/19q analysis, BRAF fusion, BRAF V600E mutation, and ATRX mutation (Supplementary Data Table S1). All cases had been initially diagnosed (in 25/27 cases by more than one other neuropathologist) as DNT, diffuse DNT or mixed DNT + ganglioglioma; there were no changes to diagnosis following review. For each case, the presence or not of 16 specific or defining as well as other histological features (Supplementary Data Table S2) were recorded. Confirmatory diagnosis of simple and complex DNT was based on WHO criteria (5) and for dGNT on previously developed histological criteria for diffuse DNT (6): (i) diffuse cortical infiltration pattern predominates, (ii) relative lack of glioneuronal element, myxoid matrix, or nodular growth pattern, (iii) underlying white matter often shows rarefaction and cystic atrophy, (iv) tumor cytology is predominantly OLC, and (v) CD34 expression is often present in lesion and perilesional cortex.
MRI Assessment
The MRI were then evaluated in a two-step process blinded to the pathological diagnosis: First, the presence or absence of 25 specific features in each case was recorded. These included location, size, shape, margins, cysts, calcification, hemorrhage, enhancement pattern, bone remodeling, signal intensity, peri-lesional signal change, contact with the ventricles, multi-gyral involvement, cortical expansion, or atrophy (Supplementary Data Table S2). Second, the cases were then classified as one of 3 possible entities based on current literature and the relative presence or absence of the above features, for example, (i) simple DNT: Single well-defined lesion, cystic components, and cortical expansion; (ii) complex DNTs: Multicystic or “bubbly” appearances; (iii) diffuse GNTs: Perilesional white matter signal changes and focal cortical atrophy. Each case was categorized following a consensus discussion and agreement between 3 neuroradiologists on the imaging features (A.A., S.M., C.H.).
Correlation of MRI and Neuropathology
A comparison between the MRI derived diagnosis and the neuropathological gold standard was performed and the frequency of each of the MR features in each of the 3 tumor entities was established. Statistical analysis using SPSS (IBM, version 21; Spearman’s correlation, Kruskal–Wallis and Mann–Whitney tests for nonparametric data) was carried out to compare the level of agreement between radiological and pathological diagnosis. Significant differences in the presence of each radiological criteria between tumor groups were assessed to evaluate the relative specificity of MRI features in discriminating dGNT from DNT types. In addition, correlation between MRI and pathology features was carried out.
RESULTS
Neuropathology and Molecular Genetics
The pathology review diagnosis confirmed simple DNT in 6 cases, complex DNT in 8 cases, and dGNT in 13 cases (Table 1). Molecular pathology in the dGNT confirmed that none had an IDH1 mutation, and in 6 cases where ATRX mutation had been evaluated, this was not present. Ten cases were investigated for 1p/19q chromosome LOH as part of the routine work-up but this was not present in any. Analysis for BRAF V600E mutation, however, was confirmed in 5/11 dGNT compared with 0/5 complex DNT and 0/3 simple DNT; this included 1/3 cases of dGNT with focal aggregates of ganglion cells (see below).
MRI Agreement and Features
Twenty-two tumors were located in the temporal lobe, 2 in the frontal, 2 in the parietal and one in the occipital lobe (Table 1). The MRI diagnosis was simple DNT in 6 cases, complex DNT in 8 cases (Supplementary Data Fig. S1) and dGNT (Fig. 1) in 13 cases. The MRI diagnosis was confirmed neuropathologically in 85% (23/27) of cases (Kappa score 0.62; p < 0.000). There was 100% (13/13) agreement between the MRI and neuropathological diagnosis of dGNT (Table 1). In simple DNT, there was a 67% (4/6) agreement with 2 cases incorrectly diagnosed as complex DNT. In complex DNT, there was a 75% (6/8) agreement with 2 cases wrongly diagnosed as simple DNT (Table 1). In 2 of the cases with lack of agreement, only small resection samples were available for histology diagnosis.
Features that more significantly associated with dGNT was evidence of ill-defined subcortical white matter T2-w hyperintensity, present in all cases (100%; p < 0.0001; Fig. 1A) and cortical atrophy found in 92% cases (12/13) with thinning in the region of tumor infiltration and retraction with focal prominence of the overlying sulcus forming a CSF filled space (Fig. 2A, B;Table 2; p < 0.0001). For simple DNTs, single well-defined lesions, cystic components, cortical expansion and high signal rim on FLAIR were all more common than in dGNT (Table 2). Complex DNTs demonstrated more frequent multicystic or “bubbly” appearances (p < 0.001; Supplementary Data Fig. S1A, B), with 75% also demonstrating a wedge-shaped lesion (p < 0.001; Supplementary Data Fig. S1G) or multi-gyral involvement (p < 0.05) compared with other tumors. Half of the complex DNTs also showed mass effect and bone remodeling. The presence of a multicystic or “bubbly” appearance was the only significant radiological difference between simple and complex DNT (p < 0.01).
TABLE 2.
Radiological Features | Simple DNT % (Number of Cases | Complex DNT % (Number of Cases | Diffuse GNT % (Number Of Cases | p Value # | Pathology Feature | Simple DNT % (Number of Cases | Complex DNT % (Number of Cases | Diffuse GNT % (Number of Cases | p Value # |
---|---|---|---|---|---|---|---|---|---|
Expansion of the cortex | 50% (3/3) | 75% (6/8) | 8% (1/13) | 0.026* | Macroscopic cysts | 0% (0/6) | 25% (2/8) | 8% (1/13) | 0.4 |
Multi-gyral involvement | 33% (2/6) | 75% (6/8) | 38% (5/13) | 0.023 | Microscopic cysts | 33% (2/6) | 75% (6/8) | 15% (2/13) | 0.06 |
Cystic components | 50% (3/6) | 88% (7/8) | 62% (8/13) | 0.03* | Distinct nodules | 17% (1/6) | 100% (8/8) | 38% (5/13) | 0.005* |
Calcification | 0% (0/6) | 0% (0/8) | 46% (6/13) | 0.018 | Nodules within tumor | 17% (1/6) | 0% (0/8) | 70% (9/13) | 0.006 |
Hemorrhage | 0% (0/6) | 13% (1/8) | 23% (3/13) | 0.42 | Glioneuronal element | 100% (6/6) | 100% (8/8) | 8% (1/13) | 0.000* |
Mass effect | 33% (2/4) | 50% (4/8) | 15% (2/13) | 0.49 | Ventricle extension | 17% (1/6) | 25% (2/8) | 0% (0/13) | 0.3 |
Bone remodeling | 0% (0/6) | 50% (4/8) | 0% (0/13) | 0.005 | Mucoid matrix | 67% (4/6) | 100% (8/8) | 0% (0/13) | 0.000 |
Single well-defined lesion without abnormal signal around it | 50% (3/6) | 25% (2/8) | 0% (0/13) | 0.001* | Diffuse growth-predominant pattern | 0% (0/6) | 0% (0/8) | 84% (11/13) | 0.000* |
Multicystic | 0% (0/6) | 100% (8/8) | 36% (4/11) | 0.001 | Dysmorphic neurons absent | 100% (6/6) | 88% (7/8) | 38% (5/13) | 0.002 |
“Bubbly” appearance | 33 (2/6) | 88% (7/8) | 8% (1/13) | 0.001* | Calcification | 0% (0/6) | 12% (1/8) | 38% (5/13) | 0.65 |
Perilesional/subcortical white matter signal change | 0% (0/6) | 13% (1/8) | 100% (13) | 0.000* | Reticulin rich regions | 0% (0/6) | 0% (0/8) | 15% (2/13) | 0.3 |
Wedge shaped lesion | 17% (1/6) | 75% (6/8) | 8% (1/13) | 0.001 | Pigmentation (marked or focal) | 17% (1/6) | 75% (6/8) | 77% (10/13) | 0.033 |
Focal high signal rim on FLAIR | 100% | 88% (7/8) | 62% (8/13) | 0.137 | White matter changes: | 0.017 | |||
Marked rarefaction | 0% (0/6) | 0% (0/8) | 30% (4/13) | ||||||
Subtle myelin loss | 0% (0/6) | 25% (2/8) | 38% (5/13) | ||||||
Focal cortical atrophy with prominent adjacent sulcus | 0% (0/6) | 12.% (1/8) | 92% (12/13) | 0.000* | Adjacent cortex layer I hypercellular | 0% (0/6) | 0% (0/8) | 54% (7/13) | 0.02 |
Enhancement | 0% (0/6) | 25% (2/6) | 46% (6/13) | 0.055 | Dyslamination beyond tumor infiltration zone | 0% (0/6) | 0% (0/8) | 0% (0/13) | 0.15 |
Close contact with ventricle | 33% (2/6) | 75% (6/8) | 15% (2/13) | 0.026 | CD34 tumoral expression | 0% (0/6) | 25% (2/8) | 100% (13/13) | 0.000 |
These features were used as initial defining criteria to classify the cases. There were no statistically significant differences between simple and complex DNT. Significance is shown for each feature in discriminating between DNT and diffuse GNT subtypes (K–Wallis test); significant values shown in bold as p < 0.01. The presence of rosettes, eosinophilic granular bodies, Rosenthal fibers, necrosis, or mitotic activity was noted in 0–15% of cases, similar across all tumor groups and therefore not further analyzed.
In none of the DNT or dGNT in this series was there evidence either on MRI or pathology of a separate or associated distinct area of FCD in addition to the tumor.
MRI: Pathology Statistical Correlations
Of the MR and pathology features listed in Table 2, 15 significant positive correlations were noted (p < 0.01, Spearman’s correlation). A “bubbly” appearance on MRI correlated with a mucoid matrix pathologically (p < 0.001; Supplementary Data Fig. S1E) and the presence of a glioneuronal element (p < 0.0001). The presence of calcification on MRI correlated with histological evidence of calcium deposits (p < 0.0001). Subcortical white matter T2w hyper intensity correlated with a predominant histological diffuse growth pattern (p < 0.0001), CD34 expression (p < 0.0001; Figs. 1D, I, 2D, H) and pathological evidence of white matter rarefaction/loss of myelin (p = 0.013; Figs. 1C, 2C, J). Cortical atrophy on MRI with prominence of the adjacent sulcus correlated with diffuse histological growth pattern (p < 0.0001) and the pathology showed evidence of cortical neuronal loss, laminar atrophy, with “collapse” of the cortical ribbon rather than expansion (Fig. 2).
The MRI features that were significantly more common in classical DNTs when compared with dGNT were expansion of the cortex (p < 0.05), the presence of bone remodeling (p < 0.01), multi-cystic or “bubbly” appearance (p = 0.001), well-defined lesions lacking abnormal surrounding signal change (p < 0.001) and close contact or “tail-like” extension toward the ventricle (p < 0.05); the latter being a finding in 63% of complex DNT (Supplementary Data Fig. S1G; Table 2).
In 4 dGNT (cases 15–18), aggregates of atypical ganglion cells were also noted on histology as a minor component, suggestive of focal gangliogliomatous differentiation (Fig. 3) but no specific features distinguished these cases on MRI. In 3 of the dGNT (cases 19–21), although the diffuse pattern predominated, the histology also showed focal regions with a more typical DNT growth pattern or focal glioneuronal element. The MRI in these 3 cases also showed features of dGNT and a minor component more in keeping with DNT, suggesting that some cases may have “hybrid” features (Fig. 4).
MRI: Progressive Changes
Nineteen of the twenty seven cases had been followed up pre-operatively with a second MRI, the interval period ranging from 1 to 80 months. None of the simple or complex cases showed a change in appearance. However, 3 of the diffuse cases showed change in size and appearance; one showed further atrophy while 2 showed an increase in size.
DISCUSSION
In this study of a series of operated LEATs, we have shown good agreement between pathology and MRI diagnosis. We have identified MRI features that associate with dGNT to enable its distinction from the typical forms of DNT. In particular, the presence of peri-lesional signal changes and cortical atrophy within the tumor zone were MRI features that were frequent in dGNT and correlated with cortical laminar neuronal loss and white matter rarefaction in the region of diffuse tumor infiltration. Although some MRI features in typical DNT may be indicative of its underlying developmental origin, as the ventricular extension “tail sign,” accompanying FCD was not confirmed by MRI or pathology in this LEAT series.
There have been relatively few published studies directly correlating MRI with pathology in DNT and DNT-like lesions. Campos et al retrospectively evaluated a series of 61 simple and complex DNT (23). They confirmed a high percentage of cases with pseudocysts or smaller cysts with “septations” (akin to the “bubbly appearance” in our descriptions) that correlated with the specific glioneuronal element. In the current study, we also confirmed this finding, with all complex DNT showing multicystic features on MRI and a strong correlation between “bubbly” appearance on MRI and a myxoid extracellular matrix of the glioneuronal element on pathology. In their study, contrast enhancement was present in 21.6% which was comparable to our series (present in 25% of complex DNT; Table 2). They also noted that the distinction of simple from complex DNT was often not feasible by MRI with the only statistically significant discriminating features being the presence of calcification or hemorrhage in the complex form (23). In the current series, the only feature that discriminated between simple and complex tumors was the presence of a multicystic and “bubbly” appearance. Furthermore, the 4 cases with pathology/MRI disagreement in this study were between the simple and complex subtypes. Although this may be partly explained by small tissue sample size in 2 cases, it calls to question that simple and complex may represent a spectrum of the same tumor and questions the rationale to discriminate these in the WHO classification of CNS tumors (5).
We showed 100% agreement between the MRI and histology diagnosis of dGNT, supporting its distinction from conventional DNT within the LEAT tumor group. The only previous MRI/pathology correlative study of diffuse LEAT tumor types noted their poor-delineation on MRI with grey-white matter blurring, subcortical signal changes and frequent location in mesial temporal lobe (15); this MRI appearance was termed “dysplastic-like” when compared with the cystic/nodular appearances of typical DNT. Despite the frequent recognition of “dGNT” types in epilepsy surgical series, these tumors continue to be controversial, masquerading under a range of diagnostic labels over the years from “diffuse/nonspecific DNT” to the more recent “PLNTY” (7, 11, 14, 21). Although lagging behind recent progress in conventional gliomas (2), future advances in the molecular genetic characterization of LEATs (13, 14, 24, 25), including DNA methylation profiling, will undoubtedly advance the much-needed revisions in the nomenclature, including the accommodation and integration of dGNT into the WHO classification (1, 12). In this study, an in-depth molecular analysis was not carried out to further classify these tumors which is a limitation. Recent studies highlight tentative biological linkage of dGNT with DNT through genetic abnormalities in FGFR1 (13, 24) and some tumors (including cases in the present study) showing hybrid histological features of dGNT and DNT. There is more compelling evidence, however, grouping dGNT with ganglioglioma through the shared and predominant expression patterns of CD34, observation of foci of atypical ganglion cells (including cases in the present study) more frequent BRAF V600E gene mutations than DNT and methylation cluster analysis (14, 25, 26). Future molecular studies on large series of LEATs will likely confirm the molecular classification of dGNT as well as the nature of tumors with hybrid features of more than one WHO tumor type (27–32).
In the current study, the most frequent MRI features of dGNT were peri-lesional T2 signal change and cortical atrophy within the tumor zone; these correlated with degenerative features on pathology, including cortical laminar atrophy and white matter rarefaction with axonal and myelin loss. These superimposed “atrophic” features could be an effect of the seizures themselves or attest to the slow growth rate and long-standing nature of the dGNT and is in keeping with the documented accumulation of degenerative changes reported, including TDP43, tau and p62 (6, 33). We failed, however, to confirm co-existing FCD by MRI or histology. FCD associated with LEAT was recently assigned to FCD type IIIb in the ILAE classification (16). The incidence of FCDIIIb, however, varies greatly between series; for example, in the published MRI/pathology correlative studies of DNT, co-existing FCD was reported in 0/61 cases (23) compared with 25/78 (32%) (15). This is likely due to a lack of clear criteria for FCDIIIb (1, 16, 18, 34) and distinction from tumor infiltrative regions (22), and it remains a contentious but important area, including contribution to epileptogenicity (34). However, the striking “wedge” or funnel shape appearance of DNT noted on MRI (23, 35) was present in 75% of our complex DNT and association or contact with the ventricle in 63%, reminiscent of the transmantle/“tail sign” of FCD IIB. A developmental origin of DNT from the peri-ventricular region and germinal matrix has been previously proposed (36).
The advances in the molecular characterization of LEATS, as well as providing diagnostic and prognostic biomarkers, will undoubtedly herald a future of individualized treatment plans including tailored surgery (37–40). The accurate recognition of dGNT on pre-operative MRI and their distinction from other LEATs as well as the more common diffuse low-grade gliomas in adulthood will remain an integral component for appropriate surgical planning. This has particular relevance in dGNT in terms of defining the boundaries of the lesion compared with the epileptogenic zone (9, 15, 41). This study is limited in that it did not carry out full molecular characterization of tumors, correlate MRI lesion with EEG for delineation of epileptogenic zone or compare dGNT with conventional low-grade gliomas or typical gangliogliomas. These would all be important to address in future studies of dGNT to further refine diagnostic criteria and similarities and differences between tumor types. Nevertheless, this study has highlighted the potential of conventional MRI to distinguish dGNT for the future pre-operative identification of this common LEAT subtype. The diagnostic validity of these features will have to be assessed in a prospective study.
Supplementary Material
REFERENCES
- 1. Thom M, Blumcke I, Aronica E.. Long-term epilepsy-associated tumors. Brain Pathol 2012;22:350–79 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Blumcke I, Aronica E, Becker A, et al. Low-grade epilepsy-associated neuroepithelial tumours – the 2016 WHO classification. Nat Rev Neurol 2016;12:732–40 [DOI] [PubMed] [Google Scholar]
- 3. Nguyen HS, Doan N, Gelsomino M, et al. Dysembryoplastic neuroectodermal tumor: an analysis from the surveillance, epidemiology, and end results program, 2004–2013. World Neurosurg 2017;103:380–5 [DOI] [PubMed] [Google Scholar]
- 4. Bonney PA, Glenn CA, Ebeling PA, et al. Seizure freedom rates and prognostic indicators after resection of gangliogliomas: a review. World Neurosurg 2015;84:1988–96 [DOI] [PubMed] [Google Scholar]
- 5. Louis DN, Ohgaki H, Wiestler OD, Cavenee WK, eds. WHO Classification of Tumours of the Central Nervous System. WHO/IARC Classification of Tumours, revised 4th Edition. Volume 1. [Google Scholar]
- 6. Thom M, Toma A, An S, et al. One hundred and one dysembryoplastic neuroepithelial tumors: an adult epilepsy series with immunohistochemical, molecular genetic, and clinical correlations and a review of the literature. J Neuropathol Exp Neurol 2011;70:859–78 [DOI] [PubMed] [Google Scholar]
- 7. Bodi I, Selway R, Bannister P, et al. Diffuse form of dysembryoplastic neuroepithelial tumour: the histological and immunohistochemical features of a distinct entity showing transition to dysembryoplastic neuroepithelial tumour and ganglioglioma. Neuropathol Appl Neurobiol 2012;38:411–25 [DOI] [PubMed] [Google Scholar]
- 8. Burneo JG, Tellez-Zenteno J, Steven DA, et al. Adult-onset epilepsy associated with dysembryoplastic neuroepithelial tumors. Seizure 2008;17:498–504 [DOI] [PubMed] [Google Scholar]
- 9. Chassoux F, Daumas-Duport C.. Dysembryoplastic neuroepithelial tumors: where are we now? Epilepsia 2013;54(Suppl. 9):129–34 [DOI] [PubMed] [Google Scholar]
- 10. Daumas-Duport C, Varlet P, Bacha S, et al. Dysembryoplastic neuroepithelial tumors: nonspecific histological forms – a study of 40 cases. J Neurooncol 1999;41:267–80 [DOI] [PubMed] [Google Scholar]
- 11. Honavar M, Janota I, Polkey CE.. Histological heterogeneity of dysembryoplastic neuroepithelial tumour: identification and differential diagnosis in a series of 74 cases. Histopathology 1999;34:342–56 [DOI] [PubMed] [Google Scholar]
- 12. Blumcke I, Aronica E, Urbach H, et al. A neuropathology-based approach to epilepsy surgery in brain tumors and proposal for a new terminology use for long-term epilepsy-associated brain tumors. Acta Neuropathol 2014;128:39–54 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Qaddoumi I, Orisme W, Wen J, et al. Genetic alterations in uncommon low-grade neuroepithelial tumors: BRAF, FGFR1, and MYB mutations occur at high frequency and align with morphology. Acta Neuropathol 2016;131:833–45 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Huse JT, Snuderl M, Jones DT, et al. Polymorphous low-grade neuroepithelial tumor of the young (PLNTY): an epileptogenic neoplasm with oligodendroglioma-like components, aberrant CD34 expression, and genetic alterations involving the MAP kinase pathway. Acta Neuropathol 2017;133:417–29 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Chassoux F, Rodrigo S, Mellerio C, et al. Dysembryoplastic neuroepithelial tumors: an MRI-based scheme for epilepsy surgery. Neurology 2012;79:1699–707 [DOI] [PubMed] [Google Scholar]
- 16. Blumcke I, Thom M, Aronica E, et al. The clinicopathologic spectrum of focal cortical dysplasias: a consensus classification proposed by an ad hoc Task Force of the ILAE Diagnostic Methods Commission. Epilepsia 2011;52:158–74 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Cavanagh JB. On certain small tumours encountered in the temporal lobe. Brain 1958;81:389–405 [DOI] [PubMed] [Google Scholar]
- 18. Daumas-Duport C, Scheithauer BW, Chodkiewicz JP, et al. Dysembryoplastic neuroepithelial tumor: a surgically curable tumor of young patients with intractable partial seizures. Report of thirty-nine cases. Neurosurgery 1988;23:545–56 [DOI] [PubMed] [Google Scholar]
- 19. Lee MC, Kang JY, Seol MB, et al. Clinical features and epileptogenesis of dysembryoplastic neuroepithelial tumor. Childs Nerv Syst 2006;22:1611–8 [DOI] [PubMed] [Google Scholar]
- 20. Nolan MA, Sakuta R, Chuang N, et al. Dysembryoplastic neuroepithelial tumors in childhood: long-term outcome and prognostic features. Neurology 2004;62:2270–6 [DOI] [PubMed] [Google Scholar]
- 21. Pasquier B, Peoc HM, Fabre-Bocquentin B, et al. Surgical pathology of drug-resistant partial epilepsy. A 10-year-experience with a series of 327 consecutive resections. Epileptic Disord 2002;4:99–119 [PubMed] [Google Scholar]
- 22. Palmini A, Paglioli E, Silva VD.. Developmental tumors and adjacent cortical dysplasia: single or dual pathology? Epilepsia 2013;54(Suppl. 9):18–24 [DOI] [PubMed] [Google Scholar]
- 23. Campos AR, Clusmann H, von Lehe M, et al. Simple and complex dysembryoplastic neuroepithelial tumors (DNT) variants: clinical profile, MRI, and histopathology. Neuroradiology 2009;51:433–43 [DOI] [PubMed] [Google Scholar]
- 24. Rivera B, Gayden T, Carrot-Zhang J, et al. Germline and somatic FGFR1 abnormalities in dysembryoplastic neuroepithelial tumors. Acta Neuropathol 2016;131:847–63 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Gierke M, Sperveslage J, Schwab D, et al. Analysis of IDH1-R132 mutation, BRAF V600 mutation and KIAA1549-BRAF fusion transcript status in central nervous system tumors supports pediatric tumor classification. J Cancer Res Clin Oncol 2016;142:89–100 [DOI] [PubMed] [Google Scholar]
- 26. Prabowo AS, Iyer AM, Veersema TJ, et al. BRAF V600E mutation is associated with mTOR signaling activation in glioneuronal tumors. Brain Pathol 2014;24:52–66 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Matyja E, Grajkowska W, Kunert P, et al. A peculiar histopathological form of dysembryoplastic neuroepithelial tumor with separated pilocytic astrocytoma and rosette-forming glioneuronal tumor components. Neuropathology 2014;34:491–8 [DOI] [PubMed] [Google Scholar]
- 28. Eye PG, Davidson L, Malafronte PJ, et al. PIK3CA mutation in a mixed dysembryoplastic neuroepithelial tumor and rosette forming glioneuronal tumor, a case report and literature review. J Neurol Sci 2017;373:280–4 [DOI] [PubMed] [Google Scholar]
- 29. Perry A, Giannini C, Scheithauer BW, et al. Composite pleomorphic xanthoastrocytoma and ganglioglioma: report of four cases and review of the literature. Am J Surg Pathol 1997;21:763–71 [DOI] [PubMed] [Google Scholar]
- 30. Prayson RA. Composite ganglioglioma and dysembryoplastic neuroepithelial tumor. Arch Pathol Lab Med 1999;123:247–50 [DOI] [PubMed] [Google Scholar]
- 31. Prayson RA, Napekoski KM.. Composite ganglioglioma/dysembryoplastic neuroepithelial tumor: a clinicopathologic study of 8 cases. Hum Pathol 2012;43:1113–8 [DOI] [PubMed] [Google Scholar]
- 32. Yeh DJ, Hessler RB, Stevens EA, et al. Composite pleomorphic xanthoastrocytoma–ganglioglioma presenting as a suprasellar mass: case report. Neurosurgery 2003;52:1465–8. discussion 8–9 [DOI] [PubMed] [Google Scholar]
- 33. Prabowo AS, Iyer AM, Veersema TJ, et al. Expression of neurodegenerative disease-related proteins and caspase-3 in glioneuronal tumours. Neuropathol Appl Neurobiol 2015;41:e1–e15 [DOI] [PubMed] [Google Scholar]
- 34. Giulioni M, Martinoni M, Marucci G.. Observations on epilepsy associated with low-grade tumors and focal cortical dysplasias. Childs Nerv Syst 2015;31:507–9 [DOI] [PubMed] [Google Scholar]
- 35. Zhang JG, Hu WZ, Zhao RJ, et al. Dysembryoplastic neuroepithelial tumor: a clinical, neuroradiological, and pathological study of 15 cases. J Child Neurol 2014;29:1441–7 [DOI] [PubMed] [Google Scholar]
- 36. Kawataki T, Sato E, Kato T, et al. A cortical dysembryoplastic neuroepithelial tumor initially occurring in the periventricular white matter. J Neurosurg Ped 2010;6:600–3 [DOI] [PubMed] [Google Scholar]
- 37. Brat DJ, Verhaak RG, Aldape KD, et al. Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas. N Engl J Med 2015;372:2481–98 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Garcia MA, Solomon DA, Haas-Kogan DA.. Exploiting molecular biology for diagnosis and targeted management of pediatric low-grade gliomas. Future Oncol 2016;12:1493–506 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Khatua S, Wang J, Rajaram V.. Review of low-grade gliomas in children – evolving molecular era and therapeutic insights. Childs Nerv Syst 2015;31:643–52 [DOI] [PubMed] [Google Scholar]
- 40. Nageswara Rao AA, Packer RJ.. Advances in the management of low-grade gliomas. Curr Oncol Rep 2014;16:398. [DOI] [PubMed] [Google Scholar]
- 41. Chassoux F, Landre E, Mellerio C, et al. Dysembryoplastic neuroepithelial tumors: epileptogenicity related to histologic subtypes. Clin Neurophysiol 2013;124:1068–78 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.