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DCE-MRI對原發(fā)性骨肉瘤惡性程度的評估價值

發(fā)布時間:2018-04-30 11:08

  本文選題:骨肉瘤 + 磁共振成像。 參考:《放射學(xué)實踐》2017年11期


【摘要】:目的:探討動態(tài)增強曲線類型及動態(tài)增強參數(shù)對原發(fā)性骨肉瘤惡性程度評判的臨床價值。方法:對51例經(jīng)病理證實的骨肉瘤患者行動態(tài)增強MR掃描,采用Mean Curve分析軟件得到時間-信號強度曲線(TIC)、早期動態(tài)增強的斜率值(Slope)和邊緣-中心向心強化程度比值(Rrim-center)。使用多個獨立樣本的非參數(shù)檢驗比較高、低度惡性骨肉瘤的TIC類型分布;采用兩個獨立樣本秩和檢驗比較高、低度惡性骨肉瘤的動態(tài)增強參數(shù);采用多個獨立樣本非參數(shù)檢驗比較不同曲線類型的骨肉瘤的動態(tài)增強參數(shù)。結(jié)果:高、低度惡性骨肉瘤的TIC類型的分布差異具有統(tǒng)計學(xué)意義(χ~2=22.364,P=0.000)。高度惡性骨肉瘤的Slope值和Rrim-center值均高于低度惡性骨肉瘤,差異有統(tǒng)計學(xué)意義(Z=-5.159,P=0.000;Z=-5.284,P=0.000)。Ⅰ型、Ⅱ型、Ⅲ型TIC曲線的Slope值和Rrim-center值逐漸減小,差異有統(tǒng)計學(xué)意義(χ~2=24.453,P=0.000;χ~2=25.246,P=0.000)。結(jié)論:TIC類型、動態(tài)增強參數(shù)值可評價原發(fā)性骨肉瘤的惡性程度。
[Abstract]:Objective: to investigate the clinical value of dynamic enhancement curve type and dynamic enhancement parameters in the evaluation of malignant degree of primary osteosarcoma. Methods: dynamic contrast-enhanced Mr scanning was performed in 51 patients with pathologically proved osteosarcoma. The time-signal intensity curve was obtained by Mean Curve software. The slope value of early dynamic enhancement was Slopeand the ratio of edge to center concentric enhancement was compared with that of Rrim-centerate. The non-parametric test of multiple independent samples and the distribution of TIC type in low-grade malignant osteosarcoma were used, and the dynamic enhancement parameters of low-grade malignant osteosarcoma were obtained by using two independent samples with high rank sum test. The dynamic enhancement parameters of osteosarcoma with different curve types were compared by non-parametric test of multiple independent samples. Results: the distribution of TIC in high and low grade malignant osteosarcoma was significantly different (蠂 ~ 2 = 22.364). The Slope value and Rrim-center value of high grade malignant osteosarcoma were higher than those of low grade malignant osteosarcoma, and the difference was statistically significant. The Slope value and Rrim-center value of TIC curve of type 鈪,

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