International Journal of Radiation Research

en Accuracy of diffusion-weighted imaging in differentiation between medulloblastoma and ependymoma tumors Radiation Biology Radiation Biology تحقيق بديع Original Research <div style="text-align: justify;">Background: To investigate the accuracy of diffusion-weighted imaging (DWI) in the differentiation between medulloblastoma and ependymoma tumors. Materials and Methods: A retrospectively analytical study was used. Eighty-nine patients with medulloblastoma and ependymoma tumors were included, as proved by the histopathological findings (2016–2019), and their ages ranged from 1 month to 15 years old. All DWI data were transferred through RadiAnt Dicom viewer and apparent diffusion coefficient (ADC) value calculations. Statistical analyses were conducted utilizing statistical software (MedCalc, version 19.0.4).  Results: The value of ADCmean was the significant ADC value that distinguished medulloblastoma from ependymoma. The value of ADCmean was inversely proportional to tumor grades. The ADCmean value at the ependymoma tumor was 1.141±0.293 mm2/s, whereas the ADCmean value at medulloblastoma tumor was 0.661± 0.123 mm2/s. Spearman’s correlation shows a significant negative correlation, and ADCmean (r = -0.72, P-value = 0.0001). The ADCmean has confirmed the highest diagnostic accuracy with an area under the curve (AUC) of 0.984 in cases in reference to histopathological findings as a gold standard and detects medulloblastomas and ependymomas tumors with sensitivity (96.92%), specificity (95.83%), PPV (98.4%,), NPV (92%) and accuracy (92.7%). There is a high level of agreement between the results of ADC value and histopathological findings, which is excellent agreement between the two tests as Kappa =0.915. ADCmean could serve as a base to distinguish medulloblastoma from ependymoma tumors with high accuracy. Conclusion: Using ADC map value to diagnose pediatric tumors could provide reliable and objective evidence for pre-operative differentiation.</div> Diffusion-weighted imaging, medulloblastoma, ependymoma. 395 401 http://ijrr.com/browse.php?a_code=A-10-1-1187&slc_lang=en&sid=1 K.M. Abushab 7900319475328460027779 7900319475328460027779 No Medical Imaging Department, Applied Medical Sciences Faculty, Al Azhar University-Gaza, Palestinian Territory S. Abu-Laila 7900319475328460027780 7900319475328460027780 No Radiology Department, Al-Aqsa Hospital, Ministry of Health, Darussalam, Tanzania M. Tabash 7900319475328460027781 7900319475328460027781 No Medical Imaging Department, Applied Medical Sciences Faculty, Al Azhar University-Gaza, Palestinian Territory K. Quffa 7900319475328460027782 7900319475328460027782 No Medical Imaging Department, Applied Medical Sciences Faculty, Al Azhar University-Gaza, Palestinian Territory A. Shaltout 7900319475328460027783 7900319475328460027783 No Radiology Department, Al-Aqsa Hospital, Ministry of Health, Darussalam, Tanzania Y.S. Alajerami yasser_ajr@hotmail.com 7900319475328460027784 7900319475328460027784 Yes Medical Imaging Department, Applied Medical Sciences Faculty, Al Azhar University-Gaza, Palestinian Territory H.H. Mansour 7900319475328460027785 7900319475328460027785 No Medical Imaging Department, Applied Medical Sciences Faculty, Al Azhar University-Gaza, Palestinian Territory H. Beituni 7900319475328460027786 7900319475328460027786 No Medical Imaging Department, Health Sciences Faculty, HCT, UAE