Diagnostic accuracy of apparent diffusion coefficient ratio in distinguishing common pediatric CNS posterior fossa tumors

Marwa Mohamed Mahmoud Esa; Emad Mohammed Mashaly; Yasser Fouad El-Sawaf; Mohammed Mahmoud Dawoud

doi:10.1186/s43055-020-00194-2

Research
Open Access
Published: 12 May 2020

Diagnostic accuracy of apparent diffusion coefficient ratio in distinguishing common pediatric CNS posterior fossa tumors

Marwa Mohamed Mahmoud Esa¹,
Emad Mohammed Mashaly²,
Yasser Fouad El-Sawaf³ &
Mohammed Mahmoud Dawoud²

Egyptian Journal of Radiology and Nuclear Medicine volume 51, Article number: 76 (2020) Cite this article

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Abstract

Background

Pilocytic astrocytoma, medulloblastoma, and ependymoma are the most common pediatric CNS tumors seen at posterior cranial fossa and final diagnosis obtained by histopathology after surgical excision. Routine MRI study gives an idea about site and extension of the tumors but provide a little information about type and grade of tumors. ADC ratio had high sensitivity and specificity in differentiation between these tumors as regard type and grade according to tumor cellularity.

Patients and methods

Prospective study conducted on thirty pediatric patients (11 males and 19 females) with CNS posterior fossa masses, their ages ranged from 2 to 17 years (mean age of 8.7 years), conventional MRI, DWI, ADC value, and ADC ratio were done for all patients.

Results

ADC values were significantly different between pilocytic astrocytomas (1.43 ± 0.28 × 10⁻³) and medulloblastomas (0.71 ± 0. 21 × 10⁻³) with a P value < 0.001, also there was a significant difference when comparing medulloblastomas (0.71 ± 0.21 × 10⁻³) with ependymomas (1.04 × 10⁻³ ± 0.21) with a P value < 0.001. ADC ratio at a cutoff > 1.7 showed significant good power of discrimination of astrocytoma (AUC = 0.85) from ependymoma with 87.5% sensitivity and 93.3% specificity. Similarly, at cutoff ≤ 1.6-> 1.2 was a significant good predictor of ependymoma (AUC = 0.85) with 87.8% sensitivity and 99.5% specificity. While, ADC ratio ≤ 1.2 was significant excellent discriminator of medulloblastoma (AUC = 0.99) with 100% sensitivity and 90% specificity.

Conclusion

ADC ratio is a simple way used in distinguishing juvenile pilocytic astrocytoma, ependymoma, and medulloblastoma, which are the most frequent pediatric posterior fossa tumors. Cutoff ADC ratio of more than 1.7 characteristic of JPA with 87.5% sensitivity and 93.3% specificity, ADC ratio less than 1.1 characteristic of medulloblastoma with 100% sensitivity and 90% specificity. ADC ratios more than 1.1 and less than 1.7 characteristic of ependymoma with 87.8% sensitivity and 99.5% specificity. We recommended ADC ratio as a routine study in evaluation of pediatric CNS posterior fossa tumors.

Introduction

Pediatric central nervous system tumors accounting for approximately 20 to 25% of all primary pediatric tumors and representing the second most common cancer after hematological malignancies [1]. Cranial posterior fossa tumors accounting for 54-70% of all brain tumors in pediatrics [2]_.

Ependymomas, pilocytic astrocytomas (PAs), and medulloblastomas (MBs) are the most important key players in the first 2 years of life [3]. Definitive diagnosis for pediatric brain tumors proved mainly after surgical excision by histopathology and uncommonly by preoperative biopsy [4].

MRI is the imaging modality of choice for the evaluation of pediatric intracranial tumors. Conventional T1, T2, and contrast-enhanced T1-weighted imaging (WI) provide information about site, morphology, extension, and mass effect of the tumor as well as the presence of hemorrhage or ectatic vessels within the tumor and a little information about its nature as benign or malignant [5].

Magnetic resonance imaging provides limited information as regard type and grading of the tumors. Diffusion-weighted (DW) MR imaging provided additional information derived from a microscopic motion of the water proton, which not obtained by using conventional MRI. DW imaging has been applied for the assignment of tumor grades or differentiation of tumor types, as well as for the diagnosis of other brain SOLs [6].

Visual inspection of diffusion-weighted images has been reported as less accurate in differentiating types and grades of tumors, whereas an important trend has appeared toward the use of quantitative diffusion imaging technique [7].

Measurements of the ADC values of the brain tumors were very useful in tumor assessment. Variation in water content and diffusivity which was found in tumors for various reasons (e.g., vasogenic edema) likely provide information that is not readily available from conventional MR imaging [8]. ADC values could accurately distinguish pediatric cranial posterior fossa tumors especially pilocytic astrocytoma and medulloblastomas due to significant differences in tumor cellularity. Higher grade tumors have more restricted diffusion due to their higher cellularity, resulting in a good correlation between ADC values and tumor grade [9].

Apparent diffusion coefficient (ADC) values are significantly lower in MBs due to its high cell density (P < 0.001). JPA consists of low cell density with wider extracellular space. Thus, they exert less restricted diffusion. Most ependymomas in the posterior fossa are classic (grade II) ependymomas present with no or mild restricted diffusion [10].

ADC values were significantly higher in pilocytic astrocytomas than in ependymomas and medulloblastomas [11]. ADC of ependymomas was higher than that of PNETs, and there was no overlapping that makes preoperative differentiation between ependymomas and medulloblastomas possible [8].

Some cleavage between the brain stem and the tumor can be perceived on MRI T2 sequences; however, the cleavage may be imperceptible. The cleft appears more distinct on ADC map sequences. The diffusion restriction seen on the ADC map sequence along the interface between a posterior fossa medulloblastoma and the brain stem and/or cerebellar peduncles can predict infiltration of these structures [12].

Apparent diffusion coefficient ratio of pediatric cranial posterior fossa tumors to normal-appearing cerebellar parenchyma allowed preoperative diagnosis of JPA, medulloblastoma, and ependymoma with high sensitivity and specificity [13].

Mean ADC values for juvenile pilocytic astrocytoma, ependymoma, and medulloblastoma were 1.42 ± 0.27 × 10⁻³, 1.03 ± 0.21 × 10⁻³, and 0.707 ± 0.21 × 10⁻³ mm²/s respectively (P ≤ 0.001). ADC ratios were found to be 1.95 ± 0.30, 1.50 ± 0.20, and 1.02 ± 0.30 for juvenile pilocytic astrocytoma, ependymoma, and medulloblastoma respectively [14].

The present study aimed to evaluate diagnostic accuracy of ADC ratio in differentiation between pilocytic astrocytoma, medulloblastoma, and ependymoma which were the most common pediatric CNS tumors as cMRI provide limited information about types and grades of the tumors.

Patients and methods

Patients population

This prospective study was carried out on 30 pediatric patients (11 male and 19 female), their ages ranged from 2 to 17 years (mean age of 8.7 years), throughout period extending from May 2018 to August 2019 who underwent routine cMRI study and proved to have one of the three common pediatric posterior fossa tumors based on our inclusion criteria. Approval of the Research Ethics Committee (REC) and written consent were obtained from all participants in the study. Privacy of all patient data was guaranteed.

Inclusion criteria include pediatric patients with brain posterior fossa mass, both sexes were included. Exclusion criteria include patients with post-operative recurrent or residual tumors or with contraindication to MRI as (non-compatible metallic implants, aneurysmal clips, cardiac pacemaker, cochlear implants).

All patients were subjected to the following:

Data collection and clinical examination

MR imaging

Routine MRI sequences, diffusion-weighted MRI, ADC value, and ADC ratio between tumor area and normal cerebellar tissue were done for all patients. Magnetic resonance imaging was performed on a 1.5 Tesla MRI system (GE sigma explorer). Total study time ranged from 15 to 20 min. Fasting 4 h before the scan was required for patients needed sedation\anesthesia (16 patients).

Routine MRI sequences

All cases were examined in supine position using the following routine sequences: Axial T1-WI (TR/TE = 520/15 ms), axial T2-weighted images (TR/TE = 3900/100 ms), axial fluid-attenuated inversion recovery images (TR/TE = 8000/90 ms, inversion time = 2000 ms), sagittal T1WI (TR/TE = 430/10 ms), post-contrast MRI was also performed after injecting (Gd-DTPA) intravenously at a dose of 0.2 ml/kg (0.1 mmol/kg body weight). Post-contrast T1WI in axial, sagittal, and coronal planes were obtained.

Diffusion-weighted imaging with apparent diffusion coefficient ratio calculation

An axial echo-planar spin-echo sequence with an average 5 mm slice thickness, b values of 0 and 1000 s/mm² were done to obtain DW images.
Mean ADC values are the mean for multiple measures of ADC values. Region of interest (ROI) measurements were acquired in 3 consecutive slices from the solid component of the lesions avoiding hemorrhagic and necrotic areas to obtain average ADC value.
Average ADC value was divided by the measurement ADC value obtained from normal cerebellar white matter to obtain ADC ratio.
Standard mean ADC values were calculated automatically and expressed in 10⁻³ mm²/s.

Image interpretation

Interpretation of MR images and ADC maps of the patients were evaluated by two experienced radiologists without any histopathological data.

Histopathological examination

The final diagnosis either juvenile pilocytic astrocytoma (JPA), ependymoma, or medulloblastoma was obtained by histopathological examination after surgical excision.

Statistical analysis

The data were collected, tabulated, and statistically analyzed. Data were analyzed using the IBM SPSS software package version 20.0. Descriptive statistic was performed in a form of percentage and number for qualitative data. Specificity, sensitivity, and diagnostic accuracy of ADC ratio were calculated for diagnostic evaluation in distinguishing between pilocytic astrocytoma, ependymoma, and medulloblastoma.

The used tests were as follows:

Chi-square test: for categorical variables, to compare between different groups
Monte Carlo correction: correction for chi-square when more than 20% of the cells have expected count less than 5
Kruskal-Wallis test: for abnormally distributed quantitative variables, to compare between more than two studied groups, and post hoc (Dunn’s multiple comparisons test) for pairwise comparisons.

Results

Thirty pediatric patients (11 males and 19 females) with CNS posterior fossa masses proved to be juvenile pilocytic astrocytoma, ependymoma, and medulloblastoma by cMRI study. Their ages ranged from 2 to 17 years with a mean of 8.7 years, most of them were in age group 5-≤ 10 years representing 46.66% as listed in Table 1.

Table 1 Demographic data of the studied cases (N = 30 patients)

Full size table

Histopathological examination of all lesions was done after excisional biopsy; 12 (40%) lesions were ependymoma (WHO grade IV), 8 (26.7%) lesions were pilocytic astrocytoma (WHO grade I), and 10 (33.3%) were medulloblastoma (WHO grade III). According to their histopathological examination, the astrocytoma group included 3 male and 5 female their ages ranged from 5 to 11 years with a mean age of 8 ± 2.3. The ependymoma group included 6 male and 6 female their ages ranged from 6 to 16 years with a mean age of 9.5 ± 4.5. The medulloblastoma group included 2 male and 8 female their ages ranged from 3 to 13 years with a mean age of 8.4 ± 3.7; the above findings were listed in Fig. 1 and Table 2.

Table 2 Demographic data of the studied cases according to histopathological data (N = 30)

Full size table

Many pediatric patients suffering from more than one complains, 66.6% of them presented with headache, 70% presented with vomiting, 76.6% presented with visual symptoms, 10% presented with increase head circumference, 23.3% presented with brain stem symptoms, and 83.3% with cerebellar symptoms.

MRI findings in all patients revealed 30 posterior fossa SOL were detected in 30 patients. Four lesions at left cerebellar hemisphere (pilocytic astrocytoma by histopathology), 4 lesions at right cerebellar hemisphere (2 pilocytic astrocytoma and 2 medulloblastoma by histopathology), 2 lesions at right cerebellopontine angle (pilocytic astrocytoma by histopathology), and 20 lesions seen intraventricular within fourth ventricle (12 ependymoma and 8 medulloblastoma by histopathology). Eighteen lesions were solid by histopathology (8 medulloblastoma and 10 ependymoma). Twelve lesions were mixed cystic and solid by histopathology (8 pilocystic astrocytoma, 2 medulloblastoma, and 2 ependymoma).

MRI diffusion-weighted image was done for all the studied cases; 13 lesions showed free diffusion (8 pilocytic astrocytoma and 5 ependymoma by histopathology) and 17 lesions showed restricted diffusion (7 ependymoma and 10 medulloblastoma by histopathology). Restricted diffusion was significantly more frequent in ependymoma and medulloblastoma, while free diffusion was more significantly frequent in pilocytic astrocytoma.

All studied patients were divided into 3 groups according to mean ADC value, (group 1) with mean ADC value > (1.43 ± 0.28 × 10⁻³) that predict pilocytic astrocytoma, (group 2) with mean ADC value > (0.71 ± 0. 21 × 10⁻³)-≤ (1.40 ± 0.12 × 10⁻³) that predict ependymoma, (group 3) mean ADC value ≤ (0.71 ± 0. 21 × 10⁻³) that predict medulloblastoma.

Group (1) mean ADC value > (1.43 ± 0.28 × 10⁻³) was detected in 6 lesions proved to be pilocytic astrocytoma by histopathology. Group (2) mean ADC value from > (0.71 ± 0. 21 × 10⁻³) - ≤ (1.43 ± 0.28 × 10⁻³) were detected in 14 lesions; 12 of them were ependymoma and 2 lesions were pilocytic astrocytoma by histopathology. Group (3) mean ADC value ≤ (0.71 ± 0.21 × 10⁻³) were detected in 10 lesions proved to be medulloblastoma by histopathologically. These results were statistically significant with a P value < 0.001 as showed in Fig. 2 and Table 3.

Table 3 Comparison of mean ADC value between the studied groups, the values are expressed in 10⁻³ mm²/s

Full size table

Mean ADC values were significantly different between pilocytic astrocytomas (1.43 ± 0.28 × 10⁻³) (mean ± SD) and medulloblastomas (0.71 ± 0. 21 × 10⁻³) with a P value < 0.001. We found a significant difference when comparing medulloblastomas (0.71 ± 0. 21 × 10⁻³) with ependymomas (1.04 × 10⁻³ ± 0.21) with a P value < 0.001 (Figs. 3, 4, 5, and 6).

ADC ratio in the studied lesions was ranged from 0.7 to 2.20. the studied patients divided into three groups. Group (1) ADC ratio > (1.95 ± 0.30) that predict pilocytic astrocytoma. Group (2) ADC ratio > (0.93 ± 0.17)-≤ (1.95 ± 0.30) that predict ependymoma. Group (3) ADC ratio ≤ (0.93 ± 0.17) that predict medulloblastoma.

Group (1) ADC ratio > (1.95 ± 0.30) was detected in 7 lesions, all of them proved to be pilocytic astrocytoma by histopathology. Group (2) ADC ratio > (0.93 ± 0.17)-≤ (1.95 ± 0.30) was detected in 13 lesions; 12 lesions were ependymoma and 1 lesion was pilocystic astrocytoma by histopathology (Fig. 7). Group (3) ADC ratio ≤ (0.93 ± 0.17) was detected in 10 lesions all of them were medulloblastoma by histopathology (Figs. 3, 4, 5, and 6). These results were statistically significant with a P value < 0.001 as shown in Fig. 8 and Table 4.

Table 4 Comparison of ADC ratio between the studied groups

Full size table

ROC analysis for the diagnostic accuracy of ADC ratio of posterior fossa tumors. ADC ratio at a cutoff > 1.7 showed significant good power of discrimination of astrocytoma (AUC = 0.85) from ependymoma with 87.5% sensitivity and 93.3% specificity. Similarly, at cutoff ≤ 1.6-> 1.2 was a significant good predictor of ependymoma (AUC = 0.85) with 87.8% sensitivity and 99.5% specificity. While, ADC ratio ≤ 1.2 was significant excellent discriminator of medulloblastoma (AUC = 0.99) with 100% sensitivity and 90.0% specificity (Table 5) and (Figs. 9, 10, and 11).

Table 5 ROC curve analysis for prediction of tumor type by ADC ratio

Full size table

Discussion

Diffusion-weighted (DW)-MRI, ADC, and ADC ratio based on tumor cellularity could contribute to the assessment of cerebellar tumors with promising results as regard type and grade [15]. High-grade tumors appear hyperintense on DW images with low ADC values. High tumor cellularity is probably the major factor of the decreased ADC values in high-grade brain tumors [16]. Also, ADC values correlate with total nuclear area and tumor grade with high-grade tumors having high cellular density and decreased ADC [17].

In the current study, we reported that the pediatric posterior fossa tumor more common in females representing 63.32%, their ages ranged from 2 to 17 years with a mean of 8.7 years, which agreed with Ahmed et al. [18]_, they included 24 pediatric patients (15 females, 9 males) with CNS tumors, they reported that the pediatric posterior fossa tumor more common in females with a mean age of 6 years (range 1 to 15 years). While Zitouni et al. [14] included 42 patients (23 males, 19 females), they reported that the pediatric posterior fossa tumor more common in males with CNS tumors with a mean age of 7.7 years (range 1 to 18 years).

Among studied patients in the current study, ependymoma was the most common pediatric CNS posterior fossa tumor proved by histopathology representing (40%) of the patients followed by medulloblastoma (33.3%) then pilocytic astrocytoma (26.7%). In contrast to the study done by Zitouni et al. [14], it reported that medulloblastoma was the most common pediatric CNS posterior fossa tumor proved by histopathology representing 42.8% followed by JPA then ependymoma. Also, Rumboldt et al. [11] reported that pilocytic astrocytoma was the most common pediatric CNS posterior fossa tumor proved by histopathology representing 48.5% followed by ependymoma then medulloblastoma.

In the current study, ADC values and ratios were significantly different between the commonest three CNS posterior fossa tumors in children: pilocytic astrocytomas, ependymomas, and medulloblastomas (P < 0.001). We reported ADC values were significantly different between pilocytic astrocytomas (1.43 ± 0.28 × 10⁻³) (mean ± SD) and medulloblastomas (0.71 ± 0. 21 × 10⁻³) with a P value < 0.001. Also, there was a significant difference when comparing medulloblastomas (0.71 ± 0. 21 × 10⁻³) with ependymomas (1.04 × 10⁻³ ± 0.21) with a P value < 0.001.

These results matched with the study done by Zitouni et al. [14], they found a mean ADC values for JPA, ependymoma and medulloblastoma were 1.42 ± 0.27 × 10⁻³, 1.03 ± 0.21 × 10⁻³, and 0.707 ± 0.21 × 10⁻³ mm²/s respectively (P ≤ 0.001). Also agreed with Ahmed et al. [18], they reported ADC values were significantly different between WHO I (low-grade tumors) (1.49056 ± 0.15 × 10⁻³mm²/s) (mean ± SD) and WHO IV (high-grade tumors) (0.70352 ± 0.23 × 10⁻³mm²/s), (P ≤ 0.001). Also, Rumboldt et al. [11] reported that ADC values were significantly different between WHO I (low-grade tumors) (1.24 ± 2.09 × 10⁻³mm²/s) (mean ± SD), ependymoma (0.97 ± 1.29 × 10⁻³mm²/s), and WHO IV (high-grade tumors) (0.55 ± 0.63 × 10⁻³mm²/s), (P ≤ 0.001).

In contrast to the study done by Mohamed et al. [19], they reported significant differences in the ADC values between JPA and medulloblastoma also between ependymoma and medulloblastoma (P = 0.000), but no statistically significant differences between JPA and ependymoma (P > 0.05) were detected. There was no overlap in individual tumor ADC values or ratios between JPA and medulloblastoma.

Among the studied patients, ADC ratio was significantly different between pilocytic astrocytomas (1.95 ± 0.30) (mean ± SD) and medulloblastomas (1.01 ± 0.30) with a P value < 0.001, we also demonstrated a significant difference between pilocytic astrocytoma (1.95 ± 0.30) (mean ± SD) and ependymomas (1.50 ± 0.20) (mean ± SD) with a P value <0.001. Also, we found a significant difference when comparing medulloblastomas (1.01 ± 0.30) with ependymomas (1.50 ± 0.20) with a P value < 0.001.

These findings in JPAs and medulloblastomas are probably secondary to the low cellularity and relatively small nuclear area typically seen in the former tumor types in contradistinction to the densely packed cells and large nuclei characteristic for the latter [11].

These results were agreed with Zitouni et al. [14], they found the mean ADC ratios were 1.95 ± 0.30, 1.50 ± 0.20, and 1.02 ± 0.30 for JPA, ependymoma, and medulloblastoma. While Rumboldt et al. [11] found the mean ADC ratios to be 2.11 ± 0.36, 1.39 ± 0.18, and 0.84 ± 0.14 for JPA, ependymoma, and medulloblastoma.

Yamasaki et al. [20] reported that there was a slight overlap in the result between ependymoma and pilocytic astrocytoma. In the present study, we diagnosed two lesions as ependymoma by ADC value but pathologically proved pilocytic astrocytoma. Also, we diagnosed one lesion as ependymoma by ADC ratio but pathologically proved pilocytic astrocytoma.

Finding in ependymoma could be explained by an overlap between ADC values of the classic type (WHO grade 2, one-half of tumors demonstrating restricted diffusion) and anaplastic type (WHO grade 3, two-thirds of tumors demonstrating restricted diffusion), given the wide histologic and prognostic spectrum of ependymoma, diffusion characteristics of ependymoma also have a wide range overlapping other tumor types [21].

We reported the cutoff ADC ratio of > 1.7 for differentiation of pilocytic astrocytomas from medulloblastoma and ependymomas with sensitivity 87.5% and specificity 93.3%. The cutoff ADC ratio of ≤ 1.2 for differentiation of medulloblastomas from PAs and ependymomas is with sensitivity 100% and specificity 90%. The cutoff ADC value of ≤ 1.6, > 1.2 for differentiation of ependymomas from PAs, and medulloblastomas were 100% with sensitivity 87.8% and specificity 99.5%.

These results agreed with Koral et al. [22], they studied 140 patients (58 medulloblastomas, 10 AT/RT, 51 astrocytomas, 21 ependymomas) and could differentiate astrocytoma from ependymoma with 78% sensitivity and 78% specificity using an ADC ratio ≥ 1.8 and could differentiate embryonal tumors from ependymoma with 87% sensitivity and 83% specificity using an ADC ratio ≤ 1.2. Also, Zitouni et al. [14] differentiated astrocytoma from ependymoma with 85.7% sensitivity and 90% specificity using an ADC ratio ≥ 1.7 and differentiated medulloblastoma from ependymoma with 100% sensitivity and 88.89% specificity using an ADC ratio ≤ 1.18, which agreed with our results. Gimi et al. [15] studied 79 patients (31 JPA, 27 medulloblastoma, 14 ependymoma, 7 AT/RT) and measured the ADC ratios as 2.30, 1.58, 0.97, and 0.83 for astrocytoma, ependymoma, medulloblastoma, and AT/RT. They differentiated astrocytoma from ependymoma with 92% sensitivity and 79% specificity using an ADC ratio ≥ 1.7, and differentiated embryonal tumors (medulloblastoma and AT/RT) from ependymoma with 93% sensitivity and 88% specificity using an ADC ratio ≤ 1.2.

Conclusion

ADC ratio is a simple way used in distinguishing juvenile pilocytic astrocytoma, ependymoma, and medulloblastoma, which are the most frequent pediatric posterior fossa tumors. Cutoff ADC ratio of more than 1.7 characteristic of JPA with 87.5% sensitivity and 93.3% specificity, ADC ratio less than 1.1 characteristic of medulloblastoma with 100% sensitivity and 90% specificity. ADC ratios more than 1.1 and less than 1.7 characteristic of ependymoma with 87.8% sensitivity and 99.5% specificity. We recommended ADC ratio as a routine study in the evaluation of pediatric CNS posterior fossa tumors.

Availability of data and materials

The author’s confirm that all data supporting the finding of the study are available within the article and the raw data ad data supporting the findings were generated and available at the corresponding author on request.

Abbreviations

ADC:: Apparent diffusion coefficient
CNS:: Central nervous system
CSF:: Cerebrospinal fluid
CT:: Computerized tomography
DWI:: Diffusion-weighted image
FLAIR:: Fluid attenuation inversion recovery
JPA:: Juvenile pilocytic astrocytoma
MB:: Medulloblastoma
MBs:: Medulloblastomas
MRI:: Magnetic resonance imaging
PA:: Pilocytic astrocytoma
PNET:: Primitive neuroectodermal tumor
ROI:: Region of interest
SOL:: Space occupying lesion
WHO:: World Health Organization
WI:: Weighted image

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Acknowledgements

To all the participants for their cooperation and patience.

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Affiliations

Mahalla Hepatology Teaching Hospital, Mahalla, Egypt
Marwa Mohamed Mahmoud Esa
Radio-diagnosis and Medical Imaging, Faculty of Medicine, Tanta University, El Geish Street, El Gharbia governate, Tanta, Egypt
Emad Mohammed Mashaly & Mohammed Mahmoud Dawoud
Neurosurgery, Faculty of Medicine, Tanta University, El Geish Street, El Gharbia governate, Tanta, Egypt
Yasser Fouad El-Sawaf

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Marwa Mohamed Mahmoud Esa
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Emad Mohammed Mashaly
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Yasser Fouad El-Sawaf
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Mohammed Mahmoud Dawoud
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Contributions

MD suggested the research idea, ensured the original figures and data in the work, minimized the obstacles to the team of work, correlated the study concept and design, and had the major role in analysis; ME collected data in all stages of manuscript, performed data analysis. EM supervised the study with significant contributions to design the methodology, manuscript revision and preparation. YE correlated the clinical data of patient and matched it with the findings, drafted and revised the work. All authors read and approved the final manuscript for submission.

Corresponding author

Correspondence to Mohammed Mahmoud Dawoud.

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Ethics approval and consent to participate

Informed written consents taken from the patients and healthy volunteers, the study was approved by ethical committee of Tanta university hospital, faculty of medicine.

Committee’s reference number: 32369/6/2018

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All participants included in the research gave written consent to publish the data included in the study.

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The authors declare that they have no competing of interests.

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Esa, M.M.M., Mashaly, E.M., El-Sawaf, Y.F. et al. Diagnostic accuracy of apparent diffusion coefficient ratio in distinguishing common pediatric CNS posterior fossa tumors. Egypt J Radiol Nucl Med 51, 76 (2020). https://doi.org/10.1186/s43055-020-00194-2

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Received: 31 March 2020
Accepted: 30 April 2020
Published: 12 May 2020
DOI: https://doi.org/10.1186/s43055-020-00194-2

Keywords

Apparent diffusion coefficient (ADC) ratio
Ependymoma
Medulloblastoma
Pilocytic astrocytoma