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Does age matter? - A MRI study on peritumoral edema in newly diagnosed primary glioblastoma
BMC Cancer volume 11, Article number: 127 (2011)
Peritumoral edema is a characteristic feature of malignant glioma related to the extent of neovascularisation and to vascular endothelial growth factor (VEGF) expression.
The extent of peritumoral edema and VEGF expression may be prognostic for patients with glioblastoma. As older age is a negative prognostic marker and as VEGF expression is reported to be increased in primary glioblastoma of older patients, age-related differences in the extent of peritumoral edema have been assessed.
In a retrospective, single-center study, preoperative magnetic resonance imaging (MRI) scans of steroid-naïve patients (n = 122) of all age groups were analysed. Patients with clinically suspected, radiologically likely or known evidence of secondary glioblastoma were not included.
Extent of brain edema was determined in a metric quantitative fashion and in a categorical fashion in relation to tumor size. Analysis was done group-wise related to age. Additionally, tumor size, degree of necrosis, superficial or deep location of tumor and anatomic localization in the brain were recorded.
The extent of peritumoral edema in patients >65 years (ys) was not different from the edema extent in patients ≤ 65 ys (p = 0.261). The same was true if age groups ≤ 55 ys and ≥ 70 ys were compared (p = 0.308). However, extent of necrosis (p = 0.023), deep tumor localization (p = 0.02) and frontal localisation (p = 0.016) of the tumor were associated with the extent of edema. Tumor size was not linearly correlated to edema extent (Pearson F = 0.094, p = 0.303) but correlated to degree of necrosis (F = 0.355, p < 0.001, Spearman-Rho) and depth of tumor (p < 0.001). In a multifactorial analysis of maximum edema with the uncorrelated factors age, regional location of tumor and degree of necrosis, only the extent of necrosis (p = 0.022) had a significant effect.
Age at diagnosis does not determine degree of peritumoral edema, and tumor localization in the white matter is associated with greater extent of edema. The area of necrosis is reflective of volume of edema. In summary, the radiographic appearance of a glioblastoma at diagnosis does not reflect biology in the elderly patient.
Peritumoral edema is a characteristic feature of malignant glioma, related to the extent of neovascularisation and to vascular endothelial growth factor (VEGF) expression [1–3]. It is well recognized that VEGF is a major and potent mediator of blood brain barrier disturbance and a cause of peritumoral edema [4, 5].
Some studies have reported a correlation between VEGF expression and extent of peritumoral edema [6, 7]. Others show an association of extensive peritumoral edema on magnetic resonance imaging (MRI) with bad prognosis in patients with newly diagnosed glioblastoma [8–10].
Additionally, a recent study demonstrated that increased VEGF expression is more frequent in older patients with glioblastoma .
The aim of our study was to examine whether peritumoral edema is more pronounced in elderly patients with primary glioblastoma. We assessed whether increasing edema accounts for the well-known worse prognosis of glioblastoma with increasing age .
Methods and Patient characteristics
In this retrospective, single-center study, we analyzed preoperative MRI scans at first (suspected) diagnosis in two groups of steroid-naïve patients (≤ 65 ys and >65 ys) with primary glioblastoma. The patients were consecutively seen in our center between 2004 and 2010.
Patients with known or radiological evidence of secondary glioblastoma were excluded. Only 5/122 had areas suspicious for low-grade tumor but no clinical history of prior tumor manifestation. For all patients, preoperative MRI including native and contrast-enhanced T1-w and T2-w sequences were available. Analysis was done on digital images on a workstation (Leonardo, Siemens, Erlangen, Germany).
Necrosis and extent of edema and maximum tumor size were determined on axial contrast-enhanced T1- and T2-w MRI images, respectively. When edema extension was greater in the cranio-caudal direction than in the axial direction, coronal or sagittal images were used for edema determination.
To accurately quantify the local extent of maximum edema, the distance from the outer edge of maximum edema to the nearest point of contrast enhancing tumor border was measured in mm as described elsewhere . Contrast-enhanced tumor was used to assess tumor size.
To describe the two-dimensional extent of edema in relation to tumor size a categorical scoring system was used, similar to what has been reported by others  (Table 1, Figure 1A-D). A standardized volumetric approach is not available.
To detect a 30% difference, 61 patients were included in each group. In a second analysis, to exclude an overlap of pathophysiological effects in patients aged 55-70 ys, different age limits were set (≤ 55, 55-69, and ≥ 70 ys).
As potential confounders, we assessed: 1) largest tumor area (in mm2) on a single slice, 2) superficial or deep localization in the brain (defined as being predominantly located in the grey matter for a superficial and deep white matter for a deep localization), 3) degree of necrosis (hypointense region on T1-w in the centre of contrast-enhancing tumor, scored as in Table 1, Figure 1E-H) and 4) regional location of tumor (frontal, pericentral, temporal, parietooccipital, basal ganglia). To avoid observer bias, radiological analysis was performed by an experienced neuro-oncologist (C.S.) and referenced by an independent neuroradiologist (N.D.). Both observers were blinded for clinical data including patient age.
All group characteristics are shown in Table 2. In the primary data set (age cut-off 65 ys) 61 patients per group were included. The groups ≤ 55 ys, 55-69 ys and ≥ 70 ys comprised 42, 41 and 39 patients, respectively. There was no significant difference in mean tumor area (p = 0.706, t-test) or degree of necrosis (p = 0.173, Mann-U-Whitney) between the two groups with age limit 65 ys. The same applied to the three groups of patients with the age limits 55 ys and 70 ys (p = 0.140, ANOVA).
Do older patients with primary glioblastoma exhibit more peritumoral edema?
Edema extent did not differ significantly between the age groups. This was consistently shown for the determination of the maximum extent of edema (p = 0.261, t-test, Figure 2A) and for the degree of edema as determined by categorical scoring in relation to tumor size. The latter showed a trend toward less edema (p = 0.106, Jonckheere-Terpstra) in patients >65 ys.
When patient groups ≤ 55 ys and ≥ 70 ys were compared, maximum extent of edema did not differ (p = 0.308, t-test, Figure 2B). Edema degree was lower in the group of older patients but did not reach statistical significance (p = 0.133, Jonckheere-Terpstra; data not shown).
As expected from the above, there was no correlation between age and maximum extent of edema (Pearson correlation coefficient: -0.076, p = 0.407, Figure 2C).
Which factors do influence the extent of peritumoral edema?
Localisation of tumor
Interestingly, there are differences between different tumor localisations and the maximum peritumoral edema (p = 0.016; ANOVA, Figure 3 A) as well as the degree of edema (p = 0.042, Krustal-Wallis Test, data not shown). The largest maximum edema was seen in frontal (n = 35) and temporal (n = 35) tumors whereas in other regions (pericentral [n = 27], parietooocipital [n = 19], basal ganglia [n = 5]) maximum tumor edema appeared to be less extensive. Examples are shown in Figure 4 (A frontal, B temporal, C basal ganglia, D parietooccipital). With Bonferroni corrections there is a strong trend for larger perifocal edema of frontal tumors compared to tumors in pericentral or parietoccipital regions (p = 0.054 and 0.057). There were no differences between tumors in the other regions.
Deeply located, mainly white matter tumors (n = 103) had a higher maximum edema (p = 0.02, t-test) and also a higher degree of edema (p = 0.006, Krustal-Wallis) than superficial, mainly grey matter tumors (n = 19) (Figure 3B). Some examples are shown in Figure 4E-F. Superficial tumors were significantly smaller than deep tumors (p < 0.001, t-test).
Degree of necrosis
Tumors with a higher degree of necrosis were found to have a higher maximum edema (p = 0.012, ANOVA) and a higher degree of edema (p = 0.023, Jonckheere-Terpstra) than tumors with less necrosis (Figure 3C). Some examples are shown in Figure 4G-H. After Bonferroni correction maximum edema only differed significantly between no and >50% necrosis (p = 0.029). No effect was seen for the edema index.
Degree of necrosis is positively correlated with tumor depth (F = 0.281, p = 0.002, Spearman-Rho) and tumor size (F = 0.355, p < 0.001, Spearman-Rho).
There was no correlation between tumor size and maximum extent of edema (F = 0.094, p = 0.303, Pearson). In a regression analysis a trend towards a quadratic regression of tumor area and extent of maximum edema (R2 = 0.047, F = 2.56, p = 0.056, Figure 3D) was observed.
In a multifactorial analysis (general linear model) of the variable maximum edema with the uncorrelated factors age, regional location of tumor and degree of necrosis, only degree of necrosis had a significant effect (p = 0.022, Table 3). R2 of this model was 0.794. If necrosis was replaced by depth of tumor or tumor size, only depth of tumor showed an effect (p = 0.016; p = 0.332).
This result indicates that the degree of necrosis is the strongest independent factor influencing extent of edema.
As a principal finding of this analysis the extent of tumor edema in patients with primary glioblastoma is not age-related. We conclude that the bad prognosis of elderly patients compared to younger patients with primary glioblastoma [13, 14] cannot be attributed to more perifocal edema.
Additionally, it has been suggested that VEGF expression, which is the major cause of brain tumor edema [15, 16], may be higher in primary glioblastomas in older patients . On a descriptive radiological level without VEGF level determination, this notion is not supported by the data of our study. In contrast to this, it has been shown for the VEGF antibody, bevacizumab, that older age may in fact be associated with a better response [11, 17]. Therefore, careful analysis of older patients in current trials or even separate trials for patients > 65 years will most likely be rewarding.
In the multifactorial analysis, presence and extent of peritumoral edema in primary glioblastoma was associated only with depth of tumor or the extent of necrosis, implying that edema is the result of severe hypoxia. This may be regarded as morphological evidence for the pathophysiological link between hypoxia, hypoxia-inducible factor 1 alpha expression and VEGF-mediated genesis of peritumoral edema [19, 20].
Additionally, in univariate analysis, extent of peritumoral edema differed between different regions of brain, possibly related to differences of structure and direction of white matter tracts. The structure and density of white matter is known to vary in different regions of brain, and edema spread tends to be influenced by the anatomy of white matter tracts [21, 22]. Less dense white matter, e.g. in frontal association fibers, could facilitate edema spread, whereas denser commisural fibers, e.g. in the posterior corpus callosum, or projection fibers, e.g. in the corticospinal tract, may interfere with edema extension . This effect might have contributed to our observation of accentuated edema in frontal white matter compared to less pronounced edema of tumors of the basal ganglia or the parietoccipital regions.
Tumor size did not appear to linearly correlate with extent of edema but a trend towards a quadratic relationship of tumor area to peritumoral edema existed. This may have been due in part to some very large tumors that involved most of the surrounding white matter and exhibited less edema because of the shortage of "edema substrate".
The factors tumor size, degree of necrosis and depth of tumor appeared to be partially correlated with each other. An interaction between these factors seems logical, as a larger glioblastoma might inherently have more extensive necrosis and a higher chance of involving deep white matter.
Our data are partially in conflict with results of others that found a correlation between increasing edema (in a three step scoring system, comparable to our score) and advanced age in 110 patients. Interestingly, a high proportion of the tumors analysed in this study showed areas of non-contrast enhancing tumor (65% in a group <50 ys, 35% in a group > 50 ys) . In this study the presence of non-contrast enhancing tumor was associated with less edema. The contradicting results may reflect the differences in study populations. Due to the exclusion criteria, our study was much less likely to include secondary glioblastoma, which is known to be a genetically different entity with less VEGF expression, progressing slowly from non-enhancing tumor and only developing areas with necrosis and edema later in the course of disease [24–26].
In newly diagnosed "primary" tumors, Pope et al. assessed gene expression and reported that tumors with non-contrast enhancing parts, i.e. morphological signs of secondary glioblastoma, differ from tumors without non-contrast enhancing parts. Pro-angiogenic expression patterns including VEGF-overexpression were present in typical primary glioblastoma without non-contrast enhancing parts, whereas tumors with non-contrast enhancing areas overexpressed genes that were more suggestive of secondary glioblastoma .
The presence of genetic signatures of secondary glioblastoma such as mutated isocitrate dehydrogenase 1 is much higher in younger patients . Thus, the notion that glioblastoma swith less peritumoral edema are more frequent in younger patients appears straightforward, reflecting the higher frequency of genetic patterns of secondary glioblastoma in this age group. The mean patient age in  is 54.9 years (CI 52.0-57.8), whereas in our study the mean patient age is 61.4 years (CI 59.06-63.68). Age composition of study groups appears crucial for evaluation of morphologic features of glioblastoma, as the percentage of tumors with clinical evidence or genetic signatures of secondary glioblastoma will influence the measured parameters, especially peritumoral edema.
In conclusion, our study demonstrates that the extent of peritumoral edema in primary glioblastoma without relevant non-contrast enhancing tumor tissue is influenced by the degree of necrosis and the position of tumor in white matter. Age at diagnosis does not determine the degree of peritumoral edema. Tumor size, extent of necrosis and depth of tumor partially interact.
For daily clinical practice in older patients with glioblastoma, our data do not support enhanced steroid treatment or differential use of other anti-edema treatments, such as the antiangiogenic anti-VEGF(R) treatments , although older age in contrast to all other studies may not be a negative prognostic factor in anti-VEGF treatment [11, 17]. However, it might be interesting to evaluate the differential effects of various anti-edema treatments based on tumor localisation or degree of necrosis.
vascular endothelial growth factor
magnetic resonance imaging
Machein MR, Plate KH: VEGF in brain tumors. J Neurooncol. 2000, 50: 109-120. 10.1023/A:1006416003964.
Pietsch T, Valter MM, Wolf HK, von Deimling A, Huang HJ, Cavenee WK, Wiestler OD: Expression and distribution of vascular endothelial growth factor protein in human brain tumors. Acta Neuropathol. 1997, 93: 109-117. 10.1007/s004010050591.
Strugar J, Rothbart D, Harrington W, Criscuolo GR: Vascular permeability factor in brain metastases: correlation with vasogenic brain edema and tumor angiogenesis. J Neurosurg. 1994, 81: 560-566. 10.3171/jns.1994.81.4.0560.
Senger DR, Perruzzi CA, Feder J, Dvorak HF: A highly conserved vascular permeability factor secreted by a variety of human and rodent tumor cell lines. Cancer Res. 1986, 46: 5629-5632.
Senger DR, Galli SJ, Dvorak AM, Perruzzi CA, Harvey VS, Dvorak HF: Tumor cells secrete a vascular permeability factor that promotes accumulation of ascites fluid. Science. 1983, 219: 983-985. 10.1126/science.6823562.
Carlson MR, Pope WB, Horvath S, Braunstein JG, Nghiemphu P, Tso CL, Mellinghoff I, Lai A, Liau LM, Mischel PS, Dong J, Nelson SF, Cloughesy TF: Relationship between survival and edema in malignant gliomas: role of vascular endothelial growth factor and neuronal pentraxin 2. Clin Cancer Res. 2007, 13: 2592-2598. 10.1158/1078-0432.CCR-06-2772.
Strugar JG, Criscuolo GR, Rothbart D, Harrington WN: Vascular endothelial growth/permeability factor expression in human glioma specimens: correlation with vasogenic brain edema and tumor-associated cysts. J Neurosurg. 1995, 83: 682-689. 10.3171/jns.1995.83.4.0682.
Pope WB, Sayre J, Perlina A, Villablanca JP, Mischel PS, Cloughesy TF: MR imaging correlates of survival in patients with high-grade gliomas. AJNR Am J Neuroradiol. 2005, 26: 2466-2474.
Hammoud MA, Sawaya R, Shi W, Thall PF, Leeds NE: Prognostic significance of preoperative MRI scans in glioblastoma multiforme. J Neurooncol. 1996, 27: 65-73. 10.1007/BF00146086.
Schoenegger K, Oberndorfer S, Wuschitz B, Struhal W, Hainfellner J, Prayer D, Heinzl H, Lahrmann H, Marosi C, Grisold W: Peritumoral edema on MRI at initial diagnosis: an independent prognostic factor for glioblastoma?. Eur J Neurol. 2009, 16: 874-878. 10.1111/j.1468-1331.2009.02613.x.
Nghiemphu PL, Liu W, Lee Y, Than T, Graham C, Lai A, Green RM, Pope WB, Liau LM, Mischel PS, Nelson SF, Elashoff R, Cloughesy TF: Bevacizumab and chemotherapy for recurrent glioblastoma: a single-institution experience. Neurology. 2009, 72: 1217-1222. 10.1212/01.wnl.0000345668.03039.90.
Netsky MG, Ausgust B, Fowler W: The longevity of patients with glioblastoma multiforme. J Neurosurg. 1950, 7: 261-269. 10.3171/jns.1950.7.3.0261.
Iwamoto FM, Cooper AR, Reiner AS, Nayak L, Abrey LE: Glioblastoma in the elderly: the Memorial Sloan-Kettering Cancer Center Experience (1997-2007). Cancer. 2009, 115: 3758-3766. 10.1002/cncr.24413.
Laigle-Donadey F, Delattre JY: Glioma in the elderly. Curr Opin Oncol. 2006, 18: 644-647. 10.1097/01.cco.0000245324.19411.19.
Jain RK, di Tomaso E, Duda DG, Loeffler JS, Sorensen AG, Batchelor TT: Angiogenesis in brain tumours. Nat Rev Neurosci. 2007, 8: 610-622. 10.1038/nrn2175.
Kalkanis SN, Carroll RS, Zhang J, Zamani AA, Black PM: Correlation of vascular endothelial growth factor messenger RNA expression with peritumoral vasogenic cerebral edema in meningiomas. J Neurosurg. 1996, 85: 1095-1101. 10.3171/jns.1922.214.171.1245.
Kreisl TN, Kim L, Moore K, Duic P, Royce C, Stroud I, Garren N, Mackey M, Butman JA, Camphausen K, Park J, Albert PS, Fine HA: Phase II trial of single-agent bevacizumab followed by bevacizumab plus irinotecan at tumor progression in recurrent glioblastoma. J Clin Oncol. 2009, 27: 740-745. 10.1200/JCO.2008.16.3055.
Wurschmidt F, Bunemann H, Heilmann HP: Prognostic factors in high-grade malignant glioma. A multivariate analysis of 76 cases with postoperative radiotherapy. Strahlenther Onkol. 1995, 171: 315-321.
Shweiki D, Itin A, Soffer D, Keshet E: Vascular endothelial growth factor induced by hypoxia may mediate hypoxia-initiated angiogenesis. Nature. 1992, 359: 843-845. 10.1038/359843a0.
Ikeda E, Achen MG, Breier G, Risau W: Hypoxia-induced transcriptional activation and increased mRNA stability of vascular endothelial growth factor in C6 glioma cells. J Biol Chem. 1995, 270: 19761-19766. 10.1074/jbc.270.44.26460.
Shimony JS, McKinstry RC, Akbudak E, Aronovitz JA, Snyder AZ, Lori NF, Cull TS, Conturo TE: Quantitative diffusion-tensor anisotropy brain MR imaging: normative human data and anatomic analysis. Radiology. 1999, 212: 770-784.
Cowley AR: Dyke award. Influence of fiber tracts on the CT appearance of cerebral edema: anatomic-pathologic correlation. AJNR Am J Neuroradiol. 1983, 4: 915-925.
Chepuri NB, Yen YF, Burdette JH, Li H, Moody DM, Maldjian JA: Diffusion anisotropy in the corpus callosum. AJNR Am J Neuroradiol. 2002, 23: 803-808.
Ohgaki H, Kleihues P: Genetic pathways to primary and secondary glioblastoma. Am J Pathol. 2007, 170: 1445-1453. 10.2353/ajpath.2007.070011.
Godard S, Getz G, Delorenzi M, Farmer P, Kobayashi H, Desbaillets I, Nozaki M, Diserens AC, Hamou MF, Dietrich PY, Regli L, Janzer RC, Bucher P, Stupp R, de Tribolet N, Domany E, Hegi ME: Classification of human astrocytic gliomas on the basis of gene expression: a correlated group of genes with angiogenic activity emerges as a strong predictor of subtypes. Cancer Res. 2003, 63: 6613-6625.
Arjona D, Rey JA, Taylor SM: Early genetic changes involved in low-grade astrocytic tumor development. Curr Mol Med. 2006, 6: 645-650. 10.2174/156652406778195017.
Pope WB, Chen JH, Dong J, Carlson MR, Perlina A, Cloughesy TF, Liau LM, Mischel PS, Nghiemphu P, Lai A, Nelson SF: Relationship between gene expression and enhancement in glioblastoma multiforme: exploratory DNA microarray analysis. Radiology. 2008, 249: 268-277. 10.1148/radiol.2491072000.
Hartmann C, Hentschel B, Wick W, Capper D, Felsberg J, Simon M, Westphal M, Schackert G, Meyermann R, Pietsch T, Reifenberger G, Weller M, Loeffler M, von Deimling A: Patients with IDH1 wild type anaplastic astrocytomas exhibit worse prognosis than IDH1-mutated glioblastomas, and IDH1 mutation status accounts for the unfavorable prognostic effect of higher age: implications for classification of gliomas. Acta Neuropathol. 2010, 120: 707-718. 10.1007/s00401-010-0781-z.
Kamoun WS, Ley CD, Farrar CT, Duyverman AM, Lahdenranta J, Lacorre DA, Batchelor TT, di Tomaso E, Duda DG, Munn LL, Fukumura D, Sorensen AG, Jain RK: Edema control by cediranib, a vascular endothelial growth factor receptor-targeted kinase inhibitor, prolongs survival despite persistent brain tumor growth in mice. J Clin Oncol. 2009, 27: 2542-2552. 10.1200/JCO.2008.19.9356.
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/11/127/prepub
This study was supported by the Hertie Foundation (1.02.1/04/004). We thank Prof. Dr. Kopp-Schneider (German Cancer Research Center) for expert advice in the statistical analyses and Drs Andrew Norden and Marc Chamberlain for helpful comments.
The authors declare that they have no competing interests.
CS developed the study design, performed first MRI-analysis, statistical analysis and wrote the manuscript together with WW. ND performed reference MRI-analysis. MO participated in data collection and drafting of the manuscript.
AW and MP participated in study conduct and manuscript writing. MB coordinated radiological analysis. WW coordinated study design and statistical analysis and wrote the manuscript together with CS. All authors read and approved the final manuscript.