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纸质出版:2013
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张永克,赵骏,王健,陈伟,杨柳,郭林,周代全.脂肪抑制质子加权成像和磁敏感加权成像诊断膝关节半月板撕裂对比研究[J].陆军军医大学学报(原第三军医大学学报),2013,35(23):2586-2589.
Zhang Yongke,Zhao Jun,Wang Jian,Chen Wei,Yang Liu,Guo Lin,Zhou Daiquan.Fat-suppressed proton density-weighted imaging vs susceptibility weighted imaging in diagnosis of meniscal tear[J].J Amry Med Univ (J Third Mil Med Univ),2013,35(23):2586-2589.
张永克,赵骏,王健,陈伟,杨柳,郭林,周代全.脂肪抑制质子加权成像和磁敏感加权成像诊断膝关节半月板撕裂对比研究[J].陆军军医大学学报(原第三军医大学学报),2013,35(23):2586-2589. DOI:
Zhang Yongke,Zhao Jun,Wang Jian,Chen Wei,Yang Liu,Guo Lin,Zhou Daiquan.Fat-suppressed proton density-weighted imaging vs susceptibility weighted imaging in diagnosis of meniscal tear[J].J Amry Med Univ (J Third Mil Med Univ),2013,35(23):2586-2589. DOI:
目的 比较脂肪抑制质子加权成像(fat-suppression proton density weighted imaging,FS-PDWI)和磁敏感加权成像(susceptibility weighted imaging,SWI)诊断膝关节半月板撕裂的诊断效果。 方法 83例关节中心怀疑半月板损伤的患者,术前行3T MR FS-PDWI和SWI序列扫描,2名副高以上医师行影像诊断,以关节镜为金标准对照进行定性分析,并对图像质量进行半定量评分。对比FS-PDWI和SWI半月板撕裂处的信号噪声比(signal noise ratio
SNR)和与腓肠肌的对比噪声比(contrast to noise ratio
CNR)定量分析半月板撕裂处图像质量。 结果 91处病变区2名医师的SWI诊断结果有极好的一致性(κ=0.839),综合其诊断结果得FS-PDWI诊断膝关节半月板撕裂的平均敏感性、特异性、准确性、阳性预测值和阴性预测值分别是91.5%、83.3%、90.7%、98.0%和51.7%,SWI诊断的平均敏感性、特异性、准确性、阳性预测值和阴性预测值分别是96.3%、83.3%、95.1%、98.1%和71.4%。两序列诊断半月板撕裂效果无显著性差异(
P
0.05)。图像半定量评分FS-PDWI和SWI无显著性差异(
P
0.05)。FS-PDWI和SWI的SNR分别为(26.25±6.47)和(33.94±6.41),有显著性差异(
P
0.05);CNR分别为(4.86±3.61)和(6.38±3.31),无显著性差异(
P
0.05)。 结论 磁敏感加权成像诊断膝关节半月板撕裂的敏感性、准确性和阴性检出率稍高于脂肪抑制质子加权成像,且有更好的信号噪声比。
Objective To compare fat-suppressed proton density-weighted imaging (FS-PDWI) and susceptibility weighted imaging (SWI) in the diagnosis of meniscal tear of knee. Methods A total of 83 patients suspected with meniscal tear admitted in the of Centre of Joint Sur
gery from December 2011 to September 2012 were enrolled in this study. They all received 3T MRI
by the sequences of FS-PDWI and SWI before surgery. Two senior doctors
with sub-advanced title
qualitatively diagnosed the images based on the golden standard of arthroscopy. Semi-quantitative scores of all the meniscal tear images were also evaluated. The signal noise ratio (SNR) in the area of meniscal tear and the contrast to noise ratio (CNR) to gastrocnemius of FS-PDWI and SWI were compared
quantificationally. Results Very good consistence was found in the SWI diagnostic results from the 2 doctors in the 91 lesions (κ=0.839). Compositing the results of the 2 doctors
the mean sensitivity
specificity
accuracy
positive predict value (PPV) and negative predict value (NPV) of FS-PDWI were 91.5%
83.3%
90.7%
98.0% and 51.7%
respectively
while
those of SWI were 96.3%
83.3%
95.1%
98.1% and 71.4%
respectively
with no significant differences between diagnosis effects of them (
P
0.05). There was no significant difference in the semi-quantitative scores of the 2 doctors (
P
0.05). The SNR of FS-PDWI and SWI were 26.25±6.47 and 33.94±6.41
with significant difference (
P
0.05). The CNR of FS-PDWI and SWI were 4.86±3.61 and 6.38±3.31
with no significant difference(
P
0.05). Conclusion The sensitivity
accuracy and NPV of SWI are a little higher in the diagnosis of meniscal tear than those of FS-PDWI. The SNR of SWI in the area of meniscal tear is better than those of FS-PDWI.
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