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Role of diffusion-weighted imaging in differentiation between posterior fossa brain tumors
The Egyptian Journal of Neurology, Psychiatry and Neurosurgery volume 56, Article number: 39 (2020)
Diffusion-weighted imaging (DWI) is an imaging modality using multi-section single-shot spin echo planar imaging (EPI) sequence which is extremely sensitive for detection of water motion within intra, extra, and transcellular regions. This character is important to differentiate between brain tumors either low (benign) or highly (malignant) cellular tumors.
To evaluate the role of DWI and apparent diffusion coefficient (ADC) in evaluation and differentiation between different brain posterior fossa tumors in children and adults.
Patients and methods
The study included 34 patients with different brain posterior fossa tumors for evaluation by conventional MRI (using 1.5 T MRI PHILIPS Achieva 2.1 Best Netherland) and DWI.
Our study showed that mean ADC values were significantly different between the four groups of posterior fossa tumors in children: juvenile pilocytic astrocytoma (JPA), medulloblastoma, ependymoma, and brain stem glioma while mean ADC values were not significantly different between posterior fossa tumors in the adult group. Regions of interest were manually positioned, and all values were automatically calculated and expressed in 10−3 mm2/s.
DWI is an ideal additional imaging technique, which is a rapid, easy, non-invasive imaging modality, with no contrast injection needed. It has been widely applied in the differentiation between posterior fossa brain tumors and in the diagnosis of various intracranial diseases.
Brain tumors constitute nearly about 20 to 25% of all malignancies that occur among children under 15 years of age, and 10% of brain tumors occur among 15 to 19-year-old children .
Brain tumors may be primary (arising from brain itself) or secondary (metastatic from another primary site of cancer). More than 25% of brain tumors are secondary metastases. Primary brain tumors are the second commonest form of cancers in infants and children under the age of 15 years .
Diagnosis of brain tumors by conventional magnetic resonance imaging (MRI) is based on non-contrast T1-weighted images (T1WI) and T2-weighted images (T2WI) and post-contrast (T1WI). Conventional MRI techniques are considered not enough for grading, classifying, and detecting the aggressiveness of brain tumors .
Benign brain tumors such as meningioma and acoustic neuroma form a major part of primary brain tumors .
Although conventional MRI provides mainly structural information, such as tumor size, site, and morphological appearance, it does not give a concern about the tumor grade, its aggressiveness, or its histological criteria. For this purpose, studies that are more recent showed that there is a need for other imaging modalities like diffusion-weighted imaging (DWI) .
DWI may be helpful to differentiate tumor invasion from normal brain tissue or perifocal brain edema; distinction is very important and will decrease the hazards of biopsy of different brain lesions .
In adults, symptoms of brain tumors include persistent headache, vomiting, visual disturbance, hearing or speech difficulties, walking problems, personality changes, memory problems, seizures, and loss of weight. While symptoms and signs of posterior fossa tumors in children are the same as those in adults, characteristic headache that worsen at night and early morning and in recumbency that improves with vomiting in addition to behavioral and mental changes, lethargy, irritability, and decreased appetite was also noted. Note that chronic torticollis should be considered as an alarm for the possibility of the presence of a posterior fossa mass.
Our research aimed to evaluate the role of DWI in differentiation between common posterior fossa brain tumors in children and adult patients by calculating the apparent diffusion coefficient (ADC) value of each brain tumor and correlating these results with the histopathological analysis.
Patients and methods
Thirty-four patients were enrolled in this study. The study was performed at the Neurology and Diagnostic Radiology Department, Mansoura University using a 1.5-T magnetic resonance scanner (Philips Achieva 2.1, Best, Netherlands).
All patients involved in this study were subjected to full medical history, neurological examination, and MRI examination (Conventional and DWI).
Conventional MRI was done in supine position using standard head coil with the head maintained in a neutral position. Sagittal and axial T1-weighted non-contrast images had the following parameters: 600/15 repetition time/echo time (TR/TE), a slice thickness of 5 mm and a slice gap of 1 mm, a field of view of 230 × 183 × 130, and a matrix of 256 × 163.
Axial T2-weighted fast spin echo images had imaging parameters of 4000/100 (TR/TE), a slice thickness of 5 mm and an interslice gap of 1 mm, a field of view of 230 × 183 × 130, and a matrix of 350 × 224. Axial fluid-attenuated inversion recovery (FLAIR) had imaging parameters of 6000/90 (TR/TE), a slice thickness of 5 mm and an interslice gap of 1 mm, a field of view of 230 × 183 × 130, and matrices of 350 × 224 and 256 × 174.
Post-contrast-enhanced axial, coronal, and sagittal T1-weighted images were obtained. Then, DWI was performed using multi-section single-shot spin echo planar imaging (EPI) sequence with b values 0.5 and 1000 mm2/s. The diffusion gradients were applied sequentially in the three orthogonal directions. A section of 5 mm thickness, an interslice gap of 1 mm, a 250-mm field of view (FOV), and a 128 × 256 matrix were used for all images.
The total acquisition time was 80 s. Three types of images were obtained: orthogonal images, trace images, and ADC maps.
Calculation of ADC maps automatically were done by the MRI software. Then, contrast-enhanced TI-weighted images were done after intravenous injection of the contrast agent in a dose of 0.1 m · mol/kg. All DW imaging data were transferred to a computer workstation for the determination of the signal intensity and ADC. Each image used for the creation of ADC maps was obtained with specific signal intensity (SI).
Regions of interests (ROIs) were manually positioned, and all values were automatically calculated and expressed in 10−3 mm2/s. ADC measurements were performed using a region of interest (ROI) method, with uniform ellipsoid ROI of 50–100 mm2 area. Three ROIs were placed in each corresponding tumor. The representative value used in the data and statistical analysis was mean value ± S.D.
The first ROI was placed over a homogenous enhancing region in the central portion of the tumor. Two additional ROIs were placed on the homogenous enhancing areas on different sections; these ROIs were positioned so that an overlapping of the first ROI was avoided. Three ROIs were measured, and their average was calculated.
Analysis of data was done using SPSS (statistical program for social science) version 20. Variables were analyzed as mean values of ADC ± standard deviation (SD). Differences among the groups were analyzed using univariate ANOVA. Correlations were determined by using Pearson’s test. A p value of ≤ 0.05 was considered statistically significant, and a p value of ≤ 0.001 was considered highly significant, while a p value of > 0.05 was considered non-significant.
The cohort was composed of 34 patients (19 males and 15 females) with posterior fossa brain tumors. They were divided into two main groups according to their age, pediatric and adult groups, with both groups diagnosed according to radiographic MR findings and histopathological findings except for brain stem glioma in children and metastatic brain tumors in adults. Brain stem glioma was diagnosed only through radiographic findings and its follow-up due to the difficulty of sampling or biopsy. Moreover, this type of brain tumor is inoperable and its treatment just relies on radiotherapy exposure even though metastatic brain tumors are also diagnosed through MRI findings, its follow-up, and the history of patients known to have a primary tumor.
The group of pediatric posterior fossa brain tumors included 11 subjects. Their age was ranged from 2 to 15 years with their mean age being 7.3 years. Four of them were males and seven were females. They were subdivided into three cases of juvenile pilocytic astrocytomas (JPAs), two cases of ependymomas, three cases of medulloblastomas, and three cases of brain stem gliomas. No significant difference was found in comparing between the two methods (1ROI and 3ROIs) in each pediatric subgroup (p value = 0.572).
All JPA cases had cystic component with a solid mural nodule. The cystic component in all cases appeared with increased SI on DWIs (b0) and with decreased SI on DWIs (b1000) compared to normal appearing brain parenchyma, showing free diffusion the same as that in cerebrospinal fluid (CSF).
Mean ADC values were significantly different between the four groups of posterior fossa tumors in children: JPA, medulloblastoma, ependymoma, and brain stem glioma (p value < 0.001).
Mean ADC value was significantly different between juvenile pilocytic astrocytoma (JPA) (1.63 ± 0.05 × 10−3) (mean ± SD) and medulloblastoma (0.73 ± 0.06 × 10−3) (mean ± SD) with a p value of < 0.05.
Mean ADC value was significantly different between ependymoma (1.15 ± 0.07 × 10−3) (mean ± SD) and medulloblastoma (0.73 ± 0.06 × 10−3) (mean ± SD) with a p value < 0.05.
Mean ADC value was significantly different between medulloblastoma (0.73 ± 0.06 × 10−3) (mean ± SD) and brain stem glioma (1.37 ± 0.12 × 10−3) (mean ± SD) with a p value < of 0.05.
The group of adult posterior fossa brain tumors included 23 subjects. Their age ranged from 24 to 65 years with their mean age being 46.4 years. Their sex distribution was 15 males and 8 females. Distribution of age decades in this group was between 2 and 15 years. Posterior fossa tumors encountered in the adult group of our study were metastasis in five cases (group 1), cerebellar (infratentorial) meningiomas in four cases (group 2), hemangioblastomas in three cases (group 3), cerebellopontine angle (CPA) acoustic schwannomas in five cases (group 4), CPA epidermoid tumors (cysts) in two cases (group 5), arachnoid cysts in two cases (group 6), and CPA meningiomas in two cases (group 7).
No significant difference was found in comparing between the two methods (1ROI and 3ROIs) of each adult subgroup as shown in Fig. 1 (p value = 0.641).
All hemangioblastoma cases had cystic component with a solid mural nodule. The cystic component in all cases appeared with increased SI on DWIs (b0) and with decreased SI on DWIs (b1000), in which abnormal MRI sequences were found in DWI abnormal cystic lesions, compared to normal appearing brain parenchyma, showing free diffusion the same as that in CSF.
As a whole, mean ADC value was not significantly different between posterior fossa tumors in adult group
Mean ADC value was considered significant different between epidermoid tumors (cysts) (0.85 ± 0.07 × 10−3) (mean ± SD) and arachnoid cysts (2.95 ± 0.02 × 10−3) (mean ± SD) with a p value < 0.05.
The main role of conventional MRI in brain tumors is to distinguish its location, extent, morphology, and relation to important structures, but alone it is deficient in diagnostic examination. Thus, there is a need for additional imaging modalities such as DWI which may aid in diagnosis and differentiation of brain tumors .
DWI can give important information about each tumor cellularity and water motion as well as the water content of their related matrix. Also, it can classify brain tumors into low, moderate, and high cellularity, so it is helpful to differentiate, characterize, and distinguish between brain tumors .
DWI can assess diffusion of water particles within intra-, extra-, and transcellular spaces by the aid of ADC measurement. In addition to the role of DWI in differentiating most posterior fossa brain tumors, it also participates in preoperative management and in postoperative follow-up for detection of any tumor residual .
In this study, we prospectively evaluated the role of ADC values in characterization and differentiation between posterior fossa brain tumors in pediatric and adult patients. Results were correlated to postoperative pathological analysis except for brain stem glioma cases and metastatic brain tumors.
Our study included 34 patients distributed into two main groups: pediatric and adult group according to the age of our patients.
Firstly, the pediatric group included 11 cases and showed a significant difference of mean ADC values between different groups of posterior fossa brain tumors in children: JPA, medulloblastoma, ependymoma, and brain stem glioma.
According to our study results, ADC values were significantly different between JPA (solid nodule) and medulloblastoma.
In addition, we found a significant difference between the ADC values of medulloblastoma and ependymoma. There was no significant difference between ADC value of JPA and ADC value of ependymoma.
This agree with the findings in Rumboldt and colleagues’ study, as their study included 31 children with posterior fossa tumors with their mean age being 10 years and they found a significant difference between the ADC value of JPA and the ADC value of medulloblastoma and also, between the ADC value of ependymoma and the ADC value of medulloblastoma .
Ependymomas are well-circumscribed, moderately cellular tumors. The characteristic appearance shows perivascular pseudorosettes (cleared areas and radially arranged cells around blood vessels). As ependymomas progress in malignancy, they also increase in cellularity. In addition, anaplastic ependymomas are also less common than the more benign variants of ependymoma .
While using DWI in radiological examination of ependymoma, sometimes there may be an overlap between the types of ependymoma such as classic or anaplastic type also, it is difficult for pathologists to differentiate between them. High ADC value in JPAs and low ADC value in medulloblastomas are mostly secondary to the low cellularity and relatively small nuclear area seen in former tumor types in contrast to the crowded densely packed cells with large nuclei that characterize the latter .
Slight diffusion restriction observed in the solid nodule of JPA (Fig. 2) is mostly because of the low tumor cellularity appearance that was confirmed on histopathological analysis. In addition, JPAs have a classic “biphasic pattern,” with alternating light (vacuolated) and denser areas. In JPAs, there are frequently micro-cysts in addition to the macro- cysts seen on imaging studies. The “piloid” cells are characteristic for pilocytic astrocytoma and may be responsible for increased ADC value of JPA (solid nodule) .
The high cellularity of medulloblastoma (Fig. 3) is a well-known histologic feature of these tumors. Medulloblastoma characteristically shows no pattern over crowded sheets of small cells with small areas of necrosis which reflects low or decreased ADC values of medulloblastoma .
As there is a conflict between ependymoma and medulloblastoma, our results showed no overlap between them, which is in agreement with the study performed by Yamasaki and colleagues who concluded that ADC values were retrospectively 100% accurate in the differentiation between ependymomas and PNETs .
Our results showed no overlap between the mean ADC value of JPA and medulloblastoma. This finding is in contrast to Schneider and colleagues’ study, who found overlap between mean ADC value of JPA and medulloblastoma in some cases .
Concerning the group of brain stem glioma, we had three cases that were diagnosed radiologically on conventional MRI and its follow-up. They were of diffuse intrinsic type. Brain stem glioma cases were hypointense on T1WI and hyperintense on T2WI with minimal (non-significant) enhancement after contrast administration.
Secondly, the adult group included 23 patients. In our results, we had 4 cases of typical cerebellar “infratentorial” meningiomas (Fig. 4) that were isointense on DWIs obtained at b0 and b1000 which are in harmony with a study achieved by Tantawy and colleagues, who explained 24 cases of typical cerebellar meningiomas appeared as isointense or slightly hyper intense on DWIs obtained at b0 and b1000. Our ADC range value concerning cerebellar meningioma is 0.88 to 1.42 mm2/s which is within their range of ADC values from 0.72 to 1.8 × 10−3 mm2/s .
Regarding acoustic schwannoma tumor, in our study, we had five male patients with tumors located at CPA and extend into the IAC. The ADC value of CPA acoustic schwannoma is higher in relation to the ADC value of CPA meningioma with no significant difference between them. This result is in agreement with a study achieved by Pavlisa and colleagues who found that mean ADC value of CPA acoustic schwannoma was higher in relation to mean ADC value of CPA meningioma .
Relative higher ADC value of acoustic schwannoma is probably secondary to elongated Schwann cells that may contribute to a higher degree of water content and much more increase of extracellular matrix that mainly affect diffusion properties of acoustic schwannoma .
As reported by Lalwani and colleagues, CPA meningiomas rarely expand the internal auditory canal and usually have a broad base against adjacent bone and usually have strong homogeneous enhancement that are not found in CPA schwannoma. On the other hand, acoustic schwannoma expand the IAC with a component inside it, and heterogeneous enhancement is observed after contrast administration .
In our study, we had no significant difference between metastatic brain tumors and hemangioblastoma (solid mural nodule) tumors, as regards the ADC values of metastatic brain tumors (n = 5) and those of hemangioblastoma (n = 3). This finding coincides with a study achieved by Cha study, who found no significant difference between them . In addition, our study results are in agreement with a study achieved by Quadery and colleagues, who reported that mean ADC value of hemangioblastoma was higher in relation to other cerebellar tumors including brain metastasis, medulloblastoma, and ependymoma .
Concerning tumor-like cystic lesions, our study had two cases of CPA epidermoid tumors (Fig. 5) and two cases of arachnoid cysts, the former tumors were of low SI on T1WI, with increased SI on T2WI, partially suppressed on FLAIR, with no perifocal edema and minimal contrast enhancement after contrast administration. Also, they were hyperintense on DWI with decreased ADC values on ADC mapping denoting restricted diffusion. While the latter cysts were hypointense on T1WI and hyperintense on T2WI also, on DWI, they were hypointense and had high ADC values on ADC map (the same SI as those of CSF) denoting free diffusion. This is in agreement with a study achieved by Lai and colleagues, who studied 11 extra-axial cystic lesions, 9 cases of them were arachnoid cysts that appear hypointense on DWI and hyperintense on ADC mapping .
Also, 2 studies included 23 cases of intracranial cysts, 21 of them were epidermoid. They found a significant difference between arachnoid cysts and epidermoid cysts also, and they found that the mean ADC value of epidermoid tumor was relatively higher than that of our results. In addition, they concluded that the lowest ADC value of all intracranial cysts were epidermoid cysts [22, 23].
The best explanation of low ADC value and high DWI of epidermoid tumor (restricted diffusion) is that the presence of several factors concerning epidermoid tumors like high protein content and high cholesterol content and their increased content of keratinaceous debris .
Depending on DWI, a single diagnostic imaging tool, is not enough, as isolated analysis of diffusion properties that concern each tumor cellularity does not usually provide reliable information about differentiation between brain tumors because diagnosis is never based on a single imaging sequence .
Also, depending on T1WI and T2WI characteristics of conventional MRI alone is not enough for differentiation between most of posterior fossa brain tumors like JPA, ependymoma, and medulloblastoma .
We used another additive imaging modality such as DWI in addition to conventional MRI, and by measuring ADC values of brain tumors mentioned above, we found that ADC values are variable and range from low to high according to the histological cellularity nature of each brain tumor. This can be used in comparing brain tumors and differentiating them into being either benign or malignant tumors.
Limitations of our study included a relatively smaller number of patients in different pediatric and adult groups and having few patients presented with a difficulty in sampling or having biopsy from their lesion.
DWI is an ideal additional imaging technique which is a rapid, easy, and non-invasive imaging modality, and no contrast injection is needed. It has been widely applied in the differentiation between posterior fossa brain tumors and in the diagnosis of various intracranial diseases.
Availability of data and materials
The datasets generated and/or analyzed during the current study are not publicly available due to current Mansoura University regulations and Egyptian legislation but are available from the corresponding author on reasonable request and after institutional approval.
Apparent diffusion coefficient
Magnetic resonance imaging
Juvenile pilocytic astrocytoma
Region of interest
Repetition time/echo time
Echo planar imaging
Field of view
Panigrahy A, Blüml S. Neuroimaging of pediatric brain tumors: from basic to advanced magnetic resonance imaging (MRI). J Child Neurol. 2009;24(11):1343–65.
Nejat F, El Khashab M, Rutka JT. Initial management of childhood brain tumors: neurosurgical considerations. J Child Neurol. 2008;23(10):1136–48.
Nardone V, Tini P, Biondi M, Sebaste L, Vanzi E, De Otto G, et al. Prognostic value of MR imaging texture analysis in brain non-small cell lung cancer oligo-metastases undergoing stereotactic irradiation. Cureus. 2016;8(4).
Gurney JG, Kadan-Lottick N. Brain and other central nervous system tumors: rates, trends, and epidemiology. Curr Opin Oncol. 2001;13(3):160–6.
Peet AC, Arvanitis TN, Leach MO, Waldman AD. Functional imaging in adult and paediatric brain tumours. Nat Rev Clin Oncol. 2012;9(12):700.
Stadnik TW, Demaerel P, Luypaert RR, Chaskis C, Van Rompaey KL, Michotte A, et al. Imaging tutorial: differential diagnosis of bright lesions on diffusion-weighted MR images. Radiographics. 2003;23(1):e7–e.
Moritani T, Ekholm S, Westesson P-LA. Diffusion-weighted MR imaging of the brain: Springer Science and Business Media; 2009.
Yousef AF, Elkharbotly A, Settin M, Mousa Y. Role of diffusion-weighted MR imaging in discrimination between the intracranial cystic masses. Egypt J Radiol Nucl Med. 2014;45(3):869–75.
Rumboldt Z, Camacho D, Lake D, Welsh C, Castillo M. Apparent diffusion coefficients for differentiation of cerebellar tumors in children. Am J Neuroradiol. 2006;27(6):1362–9.
Kleihues P, Louis DN, Scheithauer BW, Rorke LB, Reifenberger G, Burger PC, et al. The WHO classification of tumors of the nervous system. J Neuropathol Exp Neurol. 2002;61(3):215–25.
Ellison D. Classifying the medulloblastoma: insights from morphology and molecular genetics. Neuropathol Appl Neurobiol. 2002;28(4):257–82.
Perry A. Pathology of low-grade gliomas: an update of emerging concepts. Neuro Oncol. 2003;5(3):168–78.
Yamasaki F, Kurisu K, Satoh K, Arita K, Sugiyama K, Ohtaki M, et al. Apparent diffusion coefficient of human brain tumors at MR imaging. Radiology. 2005;235(3):985–91.
Schneider J, Confort-Gouny S, Viola A, Le Fur Y, Viout P, Bennathan M, et al. Multiparametric differentiation of posterior fossa tumors in children using diffusion weighted imaging and short echo time 1H MR spectroscopy. J Magn Reson Imaging. 2007;26(6):1390–8.
Tantawy HI, Mohamad FF, Ismael AM. The role of advanced MRI techniques in differentiating typical, from atypical and malignant meningiomas. Egypt J Radiol Nucl Med. 2010;41(3):411–9.
Pavlisa G, Rados M, Pazanin L, Padovan RS, Ozretic D, Pavlisa G. Characteristics of typical and atypical meningiomas on ADC maps with respect to schwannomas. Clin Imaging. 2008;32(1):22–7.
Sadeghi N, Camby I, Goldman S, Gabius H-J, Balériaux D, Salmon I, et al. Effect of hydrophilic components of the extracellular matrix on quantifiable diffusion-weighted imaging of human gliomas: preliminary results of correlating apparent diffusion coefficient values and hyaluronan expression level. Am J Roentgenol. 2003;181(1):235–41.
Lalwani AK, Jackler RK. Preoperative differentiation between meningioma of the cerebellopontine angle and acoustic neuroma using MRI. Otolaryngol Head Neck Surg. 1993;109(1):88–95.
Cha J, Kim ST, Nam D-H, Kong D, Kim H-J, Kim Y, et al. Differentiation of hemangioblastoma from metastatic brain tumor using dynamic contrast-enhanced MR imaging. Clin Neuroradiol. 2017;27(3):329–34.
Quadery FA, Okamoto K. Diffusion-weighted MRI of haemangioblastomas and other cerebellar tumours. Neuroradiology. 2003;45(4):212–9.
Lai P-H, Hsu S-S, Ding S-W, Ko C-W, Fu J-H, Weng M-J, et al. Proton magnetic resonance spectroscopy and diffusion-weighted imaging in intracranial cystic mass lesions. Surg Neurol. 2007;68:S25–36.
Chen S, Ikawa F, Kurisu K, Arita K, Takaba J, Kanou Y. Quantitative MR evaluation of intracranial epidermoid tumors by fast fluid-attenuated inversion recovery imaging and echo-planar diffusion-weighted imaging. Am J Neuroradiol. 2001;22(6):1089–96.
Hakyemez B, Aksoy U, Yildiz H, Ergin N. Intracranial epidermoid cysts: diffusion-weighted, FLAIR and conventional MR findings. Eur J Radiol. 2005;54(2):214–20.
Sirin S, Gonul E, Kahraman S, Timurkaynak E. Imaging of posterior fossa epidermoid tumors. Clin Neurol Neurosurg. 2005;107(6):461–7.
The authors acknowledge the subjects for their participation and cooperation in this study.
Informed written consent was obtained from all individual participants included in the study.
We agree to publish in the EJNPN, and the research is only applied here.
This research was supported by the Department of Neurology, Faculty of Medicine at Mansoura University.
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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee (MFM-IRB) by the date of 3/8/2016.
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Mustafa, W.F., Abbas, M. & Elsorougy, L. Role of diffusion-weighted imaging in differentiation between posterior fossa brain tumors. Egypt J Neurol Psychiatry Neurosurg 56, 39 (2020). https://doi.org/10.1186/s41983-019-0145-0
- Diffusion-weighted imaging
- Posterior fossa tumors