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首页> 外文期刊>Journal of Neurology, Neurosurgery and Psychiatry >Depth of lesion model in children and adolescents with moderate to severe traumatic brain injury: use of SPGR MRI to predict severity and outcome.
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Depth of lesion model in children and adolescents with moderate to severe traumatic brain injury: use of SPGR MRI to predict severity and outcome.

机译:中度至重度颅脑损伤儿童和青少年的病变模型深度:使用SPGR MRI预测严重程度和预后。

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摘要

OBJECTIVES: The utility of a depth of lesion classification using an SPGR MRI sequence in children with moderate to severe traumatic brain injury (TBI) was examined. Clinical and depth of lesion classification measures of TBI severity were used to predict neurological and functional outcome after TBI. METHODS: One hundred and six children, aged 4 to 19, with moderate to severe TBI admitted to a rehabilitation unit had an SPGR MRI sequence obtained 3 months afterTBI. Acquired images were analyzed for location, number, and size of lesions. The Glasgow coma scale (GCS) was the clinical indicator of severity. The deepest lesion present was used for depth of lesion classification. Speed of injury was inferred from the type of injury. The disability rating scale at the time of discharge from the rehabilitation unit (DRS1) and at 1 year follow up (DRS2) were functional outcome measures. RESULTS: The depth of lesion classification was significantly correlated with GCS severity, number of lesions, and both functional measures, DRS1 and DRS2. This result was more robust for time 1, probably due to the greater number of psychosocial factors impacting on functioning at time 2. Lesion volume was not correlated with the depth of lesion model. In multivariate models, depth of lesion was most predictive of DRS1, whereas GCS was most predictive of DRS2. CONCLUSIONS: A depth of lesion classification of TBI severity may have clinical utility in predicting functional outcome in children and adolescents with moderate to severe TBI.
机译:目的:研究了使用SPGR MRI序列进行深度病变分类在中度至重度颅脑损伤(TBI)儿童中的实用性。根据TBI严重程度的临床和病变分类深度来预测TBI术后的神经和功能预后。方法:106名年龄在4至19岁的中度至重度TBI患儿被送进康复科,他们在TBI后3个月获得了SPGR MRI序列。分析获取的图像的位置,数量和病变大小。格拉斯哥昏迷量表(GCS)是严重程度的临床指标。将存在的最深病变用于病变深度分类。从伤害的类型推断出伤害的速度。功能结局指标是康复单元出院时(DRS1)和一年随访(DRS2)的残疾等级量表。结果:病变的分类深度与GCS的严重程度,病变的数目以及DRS1和DRS2这两种功能指标均显着相关。该结果在时间1上更可靠,这可能是由于在时间2上影响工作的心理社会因素数量更多。病变体积与病变模型的深度无关。在多变量模型中,病变​​深度最能预测DRS1,而GCS最能预测DRS2。结论:TBI严重程度的病变分类深度可能在预测中度至重度TBI儿童和青少年的功能预后方面具有临床价值。

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