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首页> 外文期刊>Clinical neurology and neurosurgery >Grading of astrocytomas using the PRESTO (principles of echo-shifting with a train of observations) magnetic resonance imaging sequence
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Grading of astrocytomas using the PRESTO (principles of echo-shifting with a train of observations) magnetic resonance imaging sequence

机译:使用PRESTO的星形胶质瘤分级(与观察训练的回声转移原理)磁共振成像序列

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ObjectiveChanges in brain tissue can be detected sensitively using PRESTO (principles of echo-shifting with a train of observations) magnetic resonance imaging (MRI). The aim of this study was to evaluate the correlation between the proliferative ability of astrocytoma and intratumoral spotty signal voids seen as hypo-intense dots on PRESTO MRI. Patients and MethodsFifty-seven astrocytic tumors, comprising 14 astrocytomas, 12 anaplastic astrocytomas, and 31 glioblastomas, were included in this retrospective study. The tumors were classified independently by blinded radiologists according to the number of spotty signal voids detected on PRESTO-MRI as follows: spot-free (grade 0), less than 3 spots (grade 1), or more than 3 spots or a large spot (grade 2). ResultsThirteen patients (92.9%) with astrocytoma were classified as PRESTO grade 0 and 1 patient (7.1%) was classified as grade 1. Seven patients (58.3%) with anaplastic astrocytoma were classified as PRESTO grade 0, 1 (8.3%) as grade 1, and 4 as grade 2 (33.3%). Three patients (9.7%) with glioblastoma were classified as grade 0, 6 (19.4%) as grade 1, and 22 (70.9%) as grade 2. There was a strong correlation between PRESTO tumor grade and the mean MIB-1 index. ConclusionsThese results indicate that a grading system based on the number of spotty signal voids detected on PRESTO images would be useful for the diagnosis of astrocytic tumors and predicting their proliferative ability.
机译:脑组织的客体可以使用Presto敏感地检测到脑组织(带有观察训练的回声转移原理)磁共振成像(MRI)。本研究的目的是评估星形细胞瘤的增殖能力与腹腔内斑点信号空隙之间的相关能力,视为Presto MRI上的低强度点。在此回顾性研究中,包含14个星形细胞瘤,12个星形胶质细胞瘤和31只胶质细胞瘤的患者和方法患者和方法。根据Presto-MRI检测到的斑点信号空隙数如下,由致盲的放射科学家独立分类肿瘤:无点(0级),小于3个斑点(1级),或超过3个斑点或大点(2年级)。结果过期患者(92.9%)的星形细胞瘤被归类为Presto级0,1名患者(7.1%)被归类为1.7岁患者(58.3%)血上细胞胶质细胞瘤被归类为Presto级0,1(8.3%)为等级1和4分为2级(33.3%)。胶质母细胞瘤的三名患者(9.7%)被归类为0,6(19.4%)为1级和22级(70.9%),为2级。Presto肿瘤级和平均MIB-1指数之间存在强烈的相关性。结论结果表明,基于在Presto图像上检测到的斑点信号空隙数量的分级系统对于星形细胞肿瘤的诊断并预测其增殖能力是有用的。

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