首页> 外文期刊>Acta Radiologica >Value of T2-weighted MR imaging in differentiating low-fat renal angiomyolipomas from other renal tumors.
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Value of T2-weighted MR imaging in differentiating low-fat renal angiomyolipomas from other renal tumors.

机译:T2加权MR成像在区分低脂肾血管平滑肌脂肪瘤和其他肾肿瘤中的价值。

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Backgound Accurate preoperative diagnosis of fat scanty angiomyolipomas is an important clinical issue. By evaluating the low signal intensity of angiomyolipomas in MR T2-weighted images the diagnostic accuracy can be elevated. Purpose To retrospectively assess the usefulness of T2-weighted MR imaging for differentiating low-fat angiomyolipomas (AMLs) from other renal tumors. Material and Methods We retrospectively evaluated 71 patients with surgically proven renal masses (10 AMLs, 57 renal cell carcinomas [RCCs], and four oncocytomas), all of which showed no visible fat as well as gradual enhancement patterns on contrast-enhanced CT. Signal intensity was measured in each renal mass and in the spleen on T2-weighted images, and each signal intensity ratio (SIR) was calculated; SIR values were then compared in the AML and non-AML groups. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of the two parameters for differentiating the two groups. Results The SIR values (77 +/- 24% vs. 162 +/- 79%, p = 0.002) were significantly lower in the AML than in the non-AML group. The area under the ROC curve was 0.926 for SIR. The sensitivity and specificity in the diagnosis of AMLs were 90% and 90.2%, using SIR cut-off of 92.5%. Conclusion Signal intensity measurements on T2-weighted MR images can differentiate AML from non-AML in the kidney.
机译:准确的术前诊断脂肪不足的血管平滑肌脂肪瘤是重要的临床问题。通过评估MR T2加权图像中血管平滑肌脂肪瘤的低信号强度,可以提高诊断准确性。目的回顾性评估T2加权MR成像在区分低脂肪血管平滑肌脂肪瘤(AML)与其他肾肿瘤中的作用。资料和方法我们回顾性评估了71例经手术证实的肾脏肿块(10例AML,57例肾细胞癌[RCC]和4例细胞瘤)的患者,所有这些患者均未见可见脂肪,并且在增强CT扫描下显示逐渐增强的模式。在T2加权图像上测量每个肾脏肿块和脾脏的信号强度,并计算每个信号强度比(SIR);然后在AML和非AML组中比较SIR值。接收器工作特性(ROC)分析用于评估区分两个组的两个参数的诊断性能。结果AML中的SIR值(77 +/- 24%与162 +/- 79%,p = 0.002)显着低于非AML组。对于SIR,ROC曲线下的面积为0.926。使用92.5%的SIR临界值,诊断AML的敏感性和特异性分别为90%和90.2%。结论在T2加权MR图像上进行信号强度测量可以区分肾脏中的AML和非AML。

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