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Iranian journal of child neurology. 2025;19(1):55-63. doi: 10.22037/ijcn.v19i1.42100 N/A0.82024

Diagnostic Accuracy of MRI and CT Scan Features in Differentiation of Pediatric Ependymoma from Medulloblastoma

MRI和CT影像学特征鉴别儿童室管膜瘤与髓母细胞瘤的价值 翻译改进

Sam Mirfendereski  1, Neda Mansouri  1

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  • 1 Department of Radiology, Isfahan University of Medical Sciences, Isfahan, Iran.
  • DOI: 10.22037/ijcn.v19i1.42100 PMID: 40496652

    摘要 中英对照阅读

    Objectives: The study aims to compare the diagnostic accuracy of MRI and CT scan features in differentiating medulloblastoma from ependymoma, two similar pediatric brain tumors.

    Materials & methods: This retrospective cross-sectional study was conducted on all pediatric patients with posterior fossa tumors admitted to teaching hospitals affiliated with Isfahan University of Medical Sciences from 2017 to 2022. Forty-three patients with posterior fossa tumors were identified, and seven patients were excluded due to diagnoses other than medulloblastoma or ependymoma. Tumor morphology on MRI, tumor density on CT scan, and apparent diffusion coefficient (ADC) values were assessed to differentiate medulloblastoma from ependymoma.

    Results: Histopathologic diagnosis was medulloblastoma in 21 patients (60%) and ependymoma in 14 patients (40%). Mean ADC values in medulloblastoma and ependymoma cases were 0.67±0.19 (range= 0.50-1.25) and 1.22±0.29 (range=0.67-1.72), showing a significant statistical difference between the two groups (p-value=0.000). The ADC cut-off point of 0.9825 was associated with 90% sensitivity and 92.9% specificity for differentiation of ependymoma from medulloblastoma.

    Conclusion: While tumor morphology on MRI and other studied parameters are unreliable for differentiating medulloblastoma and ependymoma, ADC values may provide a potential diagnostic tool. Further studies are needed to confirm the utility of DWI and other advanced MRI techniques in differentiating these tumors.

    Keywords: Apparent Diffusion Coefficient; CT; Ependymoma Medulloblatoma; MRI.

    Keywords:mri features; ct scan features; pediatric ependymoma

    研究目的: 本研究旨在比较磁共振成像(MRI)和计算机断层扫描(CT)特征在鉴别髓母细胞瘤与ependymoma两种相似的儿童脑肿瘤中的诊断准确性。

    材料与方法: 这项回顾性横断面研究于2017年至2022年间在伊斯法罕医科大学附属的教学医院中进行,纳入了所有患有后颅窝肿瘤的儿童患者。共识别出43名后颅窝肿瘤患者,其中7名因诊断为髓母细胞瘤或ependymoma以外的疾病而被排除在外。通过MRI上的肿瘤形态、CT扫描上的肿瘤密度以及表观扩散系数(ADC)值来鉴别髓母细胞瘤与ependymoma。

    结果: 21名患者被病理诊断为髓母细胞瘤,占比60%,而其余14名为ependymoma,占比40%。髓母细胞瘤和ependymoma病例的平均ADC值分别为0.67±0.19(范围= 0.50-1.25)和1.22±0.29(范围= 0.67-1.72),显示两组之间存在显著统计学差异(p值=0.000)。ADC值的临界点为0.9825,与区分ependymoma和髓母细胞瘤具有90%灵敏度和92.9%特异性的鉴别能力相关联。

    结论: 虽然MRI上的肿瘤形态和其他研究参数对于鉴别髓母细胞瘤和ependymoma不可靠,但ADC值可能提供一种潜在的诊断工具。需要进一步的研究来确认DWI及其他高级MRI技术在这类肿瘤鉴别的实用性。

    关键词: 表观扩散系数;CT;ependymoma 髓母细胞瘤;MRI.

    关键词:MRI特征; CT扫描特征; 儿童ependymoma; 髓母细胞瘤分化

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    期刊名:Iranian journal of child neurology

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    ISSN:1735-4668

    e-ISSN:2008-0700

    IF/分区:0.8/N/A

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