radio-graphical features of gliosarcoma on computed tomography and magnetic resonance imaging

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@ IJTSRD | Available Online @ www ISSN No: 245 Inte R Radio-graphical F Tomography a Ass Mothe Institute ABSTRACT Gliosarcoma is a rare type of glioma, a brain that comes from glial, or supportiv as opposed to the neural brain cells. Gli malignant cancer, and is defined as a consisting of and sarcomatous components. The aim of the study is to cha radiographic features of gliosarcom existence nature, content and app enhancement on Computed Tomo Magnetic Resonance Imaging. And als which is the most effective imagin diagnose and categorize gliosarcoma. Fifteen patients were studied retrospecti PACS system of CT scanner and M protocol of imaging of the head. The study reveals that majority(93 gliosarcoma were single. About 80 p gliosarcoma had both solid and cystic All fifteen tumors appeared to be r demarcated from the surrounding edematous brain parenchyma. On T2-w eight shows of hyperintensity and isointe The study concludes that Gadoliniu Magnetic Resonance Imaging is more plain MRI, plain CT, Contrast Enh defining the margins of Gliosarcoma. Keywords: Gliosarcoma, Computed Magnetic Resonance Imaging, R features w.ijtsrd.com | Volume – 1 | Issue – 6 | Sep - Oct 56 - 6470 | www.ijtsrd.com | Volum ernational Journal of Trend in Sc Research and Development (IJT International Open Access Journ Features of Gliosarcoma on Co and Magnetic Resonance Imag Tamijeselvan. S. st. Professor, Dept. of Radiography, er Theresa Post Graduate and Research e of Health Sciences, Puducherry, India a cancer of the ve, brain cells, iosarcoma is a a glioblastoma gliomatous aracterize the ma, such as pearance and ography and so to find out ng method to tively from the MRI using the 3.3%) of the percent of the c components. relatively well normal or weighted image ensity. um enhanced accurate than hanced CT in Tomography, Radiographical INTRODUCTION Gliosarcomas are a variant with epithelioid glioblast glioblastoma) recognised in th classification of CNS tum malignant (WHO grade IV neoplasms with both glial and The vast majority of gliosarc grade IV astrocytomas (i.e. g rarely they can from ependymomas or oligode case they can as ependymosarcomas and ol respectivly. Peak presentation is around th a male predilection (M: F 1. primary but secondary tumou with previously resected gl irradiation. Pathology Gliosarcomas are very simi with an added sarcomatous co tumour comprises of both g elements, there is evidence tha from a solitary precursor cell. They are almost invariably hemispheres, and there may towards the temporal lobes. t 2017 Page: 876 me - 1 | Issue 6 cientific TSRD) nal omputed ging of glioblastoma (along toma and giant cell he current (2016) WHO mours. They are highly V) primary intra-axial mesenchymal elements. comas arise from WHO glioblastoma), however, also arise endrogliomas in which be referred to ligosarcomas he 6 th decade and there is .8:1). Most tumours are urs can occur in patients lioblastomas or cranial ilar to glioblastomas but omponent. Although the glial and mesenchymal at both components arise found in the cerebral y be slight predilection

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Gliosarcoma is a rare type of glioma, a cancer of the brain that comes from glial, or supportive, brain cells, as opposed to the neural brain cells. Gliosarcoma is a malignant cancer, and is defined as a glioblastoma consisting of gliomatous and sarcomatous componentsThe aim of the study is to characterize the radiographic features of gliosarcoma, such as existence nature, content and appearance and enhancement on Computed Tomography and Magnetic Resonance Imaging. And also to find out which is the most effective imaging method to diagnose and categorize gliosarcoma. Fifteen patients were studied retrospectively from the PACS system of CT Scanner and MRI using the protocol of imaging of the head.The study reveals that majority 93.3 of the gliosarcoma were single. About 80 percent of the gliosarcoma had both solid and cystic components. All fifteen tumors appeared to be relatively well demarcated from the surroundin normal or edematous brain parenchyma. On T2 weighted image eight shows of hyperintensity and isointensity.The study concludes that Gadolinium enhanced Magnetic Resonance Imaging is more accurate than plain MRI, plain CT, Contrast Enhanced CT in defining the margins of Gliosarcoma. Tamijeselvan S "Radio-graphical Features of Gliosarcoma on Computed Tomography and Magnetic Resonance Imaging" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: https://www.ijtsrd.com/papers/ijtsrd4713.pdf Paper URL: http://www.ijtsrd.com/medicine/radiology/4713/radio-graphical-features-of-gliosarcoma-on-computed--tomography-and-magnetic-resonance-imaging/tamijeselvan-s

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Page 1: Radio-graphical Features of Gliosarcoma on Computed Tomography and Magnetic Resonance Imaging

@ IJTSRD | Available Online @ www.ijtsrd.com

ISSN No: 2456

InternationalResearch

Radio-graphical Features of Tomography and Magnetic

Asst. Professor,Mother Theresa Post Graduate and Research

Institute of Health Sciences, Puducherry, India

ABSTRACT Gliosarcoma is a rare type of glioma, abrain that comes from glial, or supportive, brain cells, as opposed to the neural brain cells. Gliosarcoma is a malignant cancer, and is defined as a glioblastoma consisting of gliomatous and sarcomatous components.

The aim of the study is to characterize the radiographic features of gliosarcoma, such as existence nature, content and appearance and enhancement on Computed Tomography and Magnetic Resonance Imaging. And also to find out which is the most effective imaging method to diagnose and categorize gliosarcoma.

Fifteen patients were studied retrospectivPACS system of CT scanner and MRI using the protocol of imaging of the head.

The study reveals that majority(93.3%) of the gliosarcoma were single. About 80 percent of the gliosarcoma had both solid and cystic components. All fifteen tumors appeared to be relatively well demarcated from the surrounding edematous brain parenchyma. On T2-weighted image eight shows of hyperintensity and isointensity.

The study concludes that Gadolinium enhanced Magnetic Resonance Imaging is more accurate than plain MRI, plain CT, Contrast Enhanced CT in defining the margins of Gliosarcoma.

Keywords: Gliosarcoma, Computed Tomography, Magnetic Resonance Imaging, Radiographical features

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 1 | Issue – 6 | Sep - Oct 2017

ISSN No: 2456 - 6470 | www.ijtsrd.com | Volume

International Journal of Trend in Scientific Research and Development (IJTSRD)

International Open Access Journal

graphical Features of Gliosarcoma on Computed Tomography and Magnetic Resonance Imaging

Tamijeselvan. S. Asst. Professor, Dept. of Radiography,

Mother Theresa Post Graduate and Research Institute of Health Sciences, Puducherry, India

a cancer of the glial, or supportive, brain cells,

brain cells. Gliosarcoma is a malignant cancer, and is defined as a glioblastoma consisting of gliomatous

to characterize the radiographic features of gliosarcoma, such as existence nature, content and appearance and enhancement on Computed Tomography and Magnetic Resonance Imaging. And also to find out which is the most effective imaging method to

Fifteen patients were studied retrospectively from the canner and MRI using the

The study reveals that majority(93.3%) of the gliosarcoma were single. About 80 percent of the gliosarcoma had both solid and cystic components. All fifteen tumors appeared to be relatively well

normal or weighted image

eight shows of hyperintensity and isointensity.

es that Gadolinium enhanced more accurate than

plain CT, Contrast Enhanced CT in

: Gliosarcoma, Computed Tomography, Magnetic Resonance Imaging, Radiographical

INTRODUCTION

Gliosarcomas are a variant ofwith epithelioid glioblastomaglioblastoma) recognised in the current (2016)classification of CNS tumours.malignant (WHO grade IV) primary intraneoplasms with both glial and mesenchymal elements.

The vast majority of gliosarcomas arise from WHO grade IV astrocytomas (i.e. glioblastoma), however, rarely they can also arise from ependymomas or oligodendrogliomascase they can be referred to as ependymosarcomas and oligosarcomasrespectivly.

Peak presentation is around the 6a male predilection (M: F 1.8:1)primary but secondary tumours can occur in patients with previously resected glioblastomas or cranialirradiation.

Pathology

Gliosarcomas are very similar towith an added sarcomatous component. Although the tumour comprises of both glial and mesenchymal elements, there is evidence that both components arise from a solitary precursor cell.

They are almost invariably found in the cerebral hemispheres, and there may be slight predilection towards the temporal lobes.

Oct 2017 Page: 876

www.ijtsrd.com | Volume - 1 | Issue – 6

Scientific (IJTSRD)

International Open Access Journal

liosarcoma on Computed Imaging

are a variant of glioblastoma (along epithelioid glioblastoma and giant cell

recognised in the current (2016) WHO classification of CNS tumours. They are highly malignant (WHO grade IV) primary intra-axial

asms with both glial and mesenchymal elements.

The vast majority of gliosarcomas arise from WHO grade IV astrocytomas (i.e. glioblastoma), however, rarely they can also arise

oligodendrogliomas in which case they can be referred to

oligosarcomas

Peak presentation is around the 6th decade and there is F 1.8:1). Most tumours are

primary but secondary tumours can occur in patients with previously resected glioblastomas or cranial

Gliosarcomas are very similar to glioblastomas but with an added sarcomatous component. Although the tumour comprises of both glial and mesenchymal elements, there is evidence that both components arise

l.

They are almost invariably found in the cerebral hemispheres, and there may be slight predilection

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International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

@ IJTSRD | Available Online @ www.ijtsrd.com | Volume – 1 | Issue – 6 | Sep - Oct 2017 Page: 877

Appearance

These tumours vary in appearance depending on the relative amounts of sarcomatous tissue and astrocytic tissue. When the former is dominant, then these lesions appear similar to metastases; well circumscribed and firm. When the astrocytic component is abundant, then appearances are identical to a glioblastoma

Microscopically, these tumours show both an astrocytic component identical to glioblastomas and a sarcomatous component which is varied in differentiation, typically with epithelial components forming squamous tissue or gland-like structures Differentiation into many other types of tissue is also occasionally encountered (cartilage, bone, adipose, muscle).

Radiographic features

Gliosarcomas can be very similar to glioblastomas in appearance. They are usually broad-based peripherally located lesions with possible direct dural invasion or only reactive dural thickening (dural tail).

CT

Gliosarcomas may be seen on CT as a sharply defined (often due to sarcomatous component), round or lobulated, hyperdense solid mass. They can have relatively homogeneous contrast enhancement and peritumoral oedema.

MRI

Reported signal characteristics include:

T1: heterogeneous and hypointense mass

T2: heterogeneous signal due hemorrhagic and necrotic components

T1C+ (Gadolinium): thick irregular and rim-like or ring enhancement

MATERIALS AND METHODS

This is a retrospective study conducted during the period between 2012 and 2016. In this study, there were 15 cases of gliosarcoma of the brain and spine had been selected to satisfy this study of gliosarcoma.

Patients were imaged with either one or two imaging modalities, Computed Tomography and Magnetic Resonance Imaging. Nine patients oc this sample

were scannned using a 64 multi slice CT scan using the protocol of the brain imaging in which the patient was scan in supine position with the head of the patient is centered and fixed in the Gantry of CT Scan machine. Brain scan was done under selected exposure factors with slice thickness of 8 mm and intravenous Low Osmolar Water soluble Contrast Media (LOCM) was injected to the patients. Interpretation of the brain scan was performed by consultant radiologists to conform the diagnosis. The remaining six patients of this study were imaged with 1.5 Tesla Magnetic Resonance Imaging (MRI) by using the protocol of imaging of the head by MRI in which the following parameters of imaging were selected; 10 mm slice thickness of the brain, T1, T1 with contrast, T2 and FLAIR weighted images were done and the contrast media that used is intravenous Gadolinium (0.1 ml/kg) according to the weight of the patient.

The collected data in the study was analysed by using the SPSS software programme. The study contains both qualitative and quantitative variable. The quantitative were described using numbers, percentage and tables.

RESULT

The study included 15 patients that nine patients (60%) were males while six patients(40%) were female. Their age ranged from 12 to 73 years old. They had been referred for CT scan or MRI examination of the brain. (Table 1)

Table 1: Demographic data of the patient (n=15)

Patient Gender

No. of respondents

Percentage (%)

Male 9 60

Female 6 40

About 12 cases (80%) of the gliosarcoma showed solid and cystic content, while 2 cases showed predominant solid content and one obviously cystic (Table 2)

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International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

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Table 2: Tumor content (n=15)

Tumor Content Frequency Percentage(%)

Solid + Cystic 12 80.0

Predominant Solid 2 13.3

Obviously Cystic 1 6.7

Eleven of the gliosarcoma cases (73.3 %) showed hypo intense in the T1 weighted image of MRI and two cases (13.3 %) showed hyper and iso intensity. one case showed iso intensity and one showed hypo and iso intensity. (Table 3)

Table 3: Tumor appearance in the MRI T1 weighted image (n=15)

Tumor Appearance Frequency Percentage(%)

Hypo intense 11 73.3

Hyper intense + iso intense 2 13.3

Iso intense 1 6.7

Hypo intense + iso intense 1 6.7

In the T2 weighted MRI image of gliosarcoma six cases showed hyper intensity, eight cases showed hyper intensity and is intensity, and only one case showed mixed intensity. (Table 4)

Table 4: Tumor appearance in the MRI T2 weighted image (n=15)

Tumor Appearance Frequency Percentage(%)

Hyper intense 6 40.0

Hyper intense + iso intense 8 53.3

Mixed 1 6.7

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International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

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Figure 1: Selected pre and post-contrast images of brain showing a large cystic and well-defined lesion located in the right temporoparietal junction. Its content is homogeneously hypoattenuating and there is enhancement of the entire wall. The tumour promotes an expressive local mass effect characterised sulci effacement, peri-lesional oedema, right lateral ventricle partial collapse and midline shift to the left.

Figure 2: MRI T1 weighted image on sagital and axial section showing a large cystic and well-defined lesion located in the right temporoparietal junction. Its content is homogeneously hypo attenuating.

Figure 3: MRI T2 weighted image on axial section showing a large cystic and well-defined lesion located in the right temporoparietal junction. Its content is homogeneously hyper attenuating.

Figure 4: MRI FLAIR image on axial section showing a large cystic and well-defined lesion located in the right temporoparietal junction. Its content is homogeneously hypo attenuating.

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International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

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Figure 5: MRI T 1 weighted Contrast enhanced image on coronal section showing a large cystic and well-defined lesion located in the right temporoparietal junction. Its content is homogeneously hypo attenuating with contrast enhancement in the boundary.

DISCUSSION

Patients were imaged with either one or two imaging modalities, Computed Tomography and Magnetic Resonance Imaging . All tumors were visualized with contrast-enhanced MRI which proved most sensitive. Gadolinium di-ethylene triamine penta-acetic acid caused bright enhancement of tumors in a distribution that consistently corresponded to areas of pathologically proved tumor infiltration. Gross and microscopic autopsy findings correlated better with MRI than with CT which tended to produce poorer resolution and under represent the size of viable tumor. Gadolinium-enhanced MRI is more accurate than unenhanced MRI, unenhanced CT, or enhanced CT in defining the histologic margins of tumors.

Gliosarcomas were seen on CT as a sharply defined , round or lobulated, hypodense solid mass. They can have relatively homogeneous contrast enhancement and peritumoral oedema

Fourteen gliosarcomas were single. One case involved multifocal lesions. The multifocal masses were located in the hypothalamus and temporal and occipital lobes on the left side.

Tumors ranged from 2.9 to 12.0 cm in greatest diameter, with a mean of 5.3 cm. Thirteen lesions had at least one dimension greater than 4 cm. Only one tumor was smaller than 3 cm.

Eleven gliosarcomas had both solid and cystic components. Two had predominantly solid components, and one tumor in the right cerebellar hemisphere had obvious cystic and/or necrotic areas. All 15 tumors appeared to be relatively well demarcated from the surrounding normal or edematous brain parenchyma. Contrast-enhanced T1-weighted images depicted the boundaries of the tumors most clearly. (Figure 5)

Thirteen gliosarcomas were associated with vasogenic edema, as determined by reviewing the extent of peritumoral hyperintensity on T2-weighted images.(Figure 3) Ten tumors had moderate-to-extensive adjacent edema, three tumors showed mild surrounding edema, and two had no apparent peritumoral edema.

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International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470

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On T1-weighted images, 10 gliosarcomas were hypointense relative to adjacent normal white matter. (Figure 2). Two were both hyperintense and isointense, one was isointense, and one was hypointense and isointense. One lesion had a mixed appearance with areas of hypointensity, isointensity, and hyperintensity. In addition, three tumors showed scattered hyperintensity due to intratumoral hemorrhage ).

On T2-weighted images, six tumors were hyperintense relative to the surrounding normal brain parenchyma. Eight showed areas of hyperintensity and isointensity, and one had mixed high, low, and parenchyma-like signal intensity.

On FLAIR images, seven lesions were hyperintense to normal white matter. One tumor was isointense to hyperintense, and one was isointense.

Apart from the one gliosarcoma with moderate heterogeneous enhancement, all tumors showed strong heterogeneous enhancement. Thick walls with irregular, strongly enhancing rim and ring-like enhancement were observed in 13 (87%) lesions. Seven (47%) showed intratumoral strip and paliform enhancement. Four tumors demonstrated nodular enhancement on their walls. In one case, strong nodular enhancement was accompanied by small pieces of necrosis in the tumor. Images in three cases showed dural tails after the administration of contrast medium.

CONCLUSION

Gliosarcoma are more common in male than female. The tumor were mostly involving the parietal lobes with mass effect depending upon the grade.Gadolinium-enhanced MRI is more accurate than unenhanced MRI, unenhanced CT, or enhanced CT in defining the histologic margins of tumors.

REFERENCE

1) Stroebe H. Uber Entstehung und Bau der Gehirngliome. Beitr Pathol Anat Allg Pathol. 1895;18:405–86.

2) Feigen IH, Gross SW. Sarcoma arising in glioblastoma of the brain. Am J Pathol. 1955;31:633–53.

3) Morantz RA, Feigen I, Ransohoff J. Clinical and pathological study of 24 cases of gliosarcoma. J Neurosurg.1976;45:398–408.

4) Meis JM, Martz Kl, Nelson JS. Mixed glioblastoma multiforme and sarcoma. A clinicopathologic study of 26 Radiation Therapy Oncology Group cases. Cancer. 1991;67:2342–9.

5) Perry JR, Ang LC, Bilbao JM, Muller PJ. Clinicopathologic features of prima- ry and postradiation cerebral gliosarcoma. Cancer. 1995;75:2910–18.

6) Damodaran O, van Heerden J, Nowak AK, Bynevelt M, McDonald K, Marsh J. Clinical management and survival outcomes of gliosarcomas in the era of multimodality therapy. J Clin Neurosci. 2014;21:478–81.

7) Lutterbach J, Guttenberger R, Pagenstecher A. Gliosarcoma: a clinical study. Radiother Oncol. 2001;61:57–64.

8) Zhang BY, Chen H, Geng DY, Yin B, Li YX, Zhong P, et al. Computed tomography and magnetic resonance features of gliosarcoma: a study of 54 cases. J Comput Assist Tomogr. 2011;35:667–73.

9) Khalid AS, Mohamed O, Mohammed EM, Hassan S, Khalid H, Hamid M. Secondary gliosarcoma after the treatment of primary glioblastoma multiforme. North American Journal of Medical Sciences. 2011;3:527.

10) Schrantz JL, Araoz CA. Radiation induced meningeal fibro- sarcoma. Arch Pathol. 1972;93:26–33.

11) Han SJ, Yang I, Tihan T, Chang SM, Parsa AT. Secondary gliosarcoma: a review of clinical features and pathological diagnosis. J Neurosurg. 2010;112:26–32.

12) Kozak KR, Mahadevan A, Moody JS. Adult gliosarcoma: epidemiology, natural history, and factors associated with outcome. Neuro Oncol. 2009;11:183–91.

13) Salvati M, Caroli E, Raco A, Giangaspero F, Delfini R, Ferrante L. Gliosarcomas: analysis of 11 cases do two subtypes exist? J Neurooncol. 2005;74:59–63.