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[磁共振成像中不对称标准对诊断小盆腔淋巴结病(直径小于或等于1厘米)的价值]

[Value of asymmetry criterion in MRI for the diagnosis of small pelvic lymphadenopathies (inferior or equal to 1 cm)].

作者信息

Roy C, Le Bras Y, Mangold L, Tuchmann C, Vasilescu C, Saussine C, Jacqmin D

机构信息

Service de Radiologie B, Hôpitaux Universitaires de Strasbourg, Hôpital Civil.

出版信息

J Radiol. 1996 Dec;77(12):1183-7.

PMID:9033877
Abstract

The purpose of this study was to determine if lymph node asymmetry in small (< 1.0 cm) pelvic nodes was a significant prognostic feature in determining metastatic disease. 216 patients who presented pelvic carcinoma underwent MR imaging. They were correlated to pathological findings obtained by surgery. We considered on the axial plan the maximum diameter (MAD) of both round or oval-shaped suspicious masses. Two different cut-off values were determined: node diameter superior to 1.0 cm (criterion 1) and node diameter superior to 0.5 cm with asymmetry relative to the opposite side for nodes ranging from 0.5 cm to 1.0 cm (criterion 2). With criterion 1 MR Imaging had an accuracy of 88%, a sensitivity of 65%, a specificity of 96%, a PPV of 88% and a NPV of 88% in detection of pelvic node metastasis. By considering criterion 2, MR Imaging had an accuracy of 85%, a sensitivity of 75%, a specificity of 89%, a PPV of 71% and a NPV of 91%. Normal small asymmetric lymph nodes were present in 5.6% of cases. Asymmetry of normal or inflammatory pelvic nodes is not uncommon. It cannot be relied on to diagnose metastatic involvement in cases of small suspicious lymph nodes, especially because of its low specificity and positive predictive value.

摘要

本研究的目的是确定小(<1.0 cm)盆腔淋巴结的不对称性是否是判断转移性疾病的重要预后特征。216例盆腔癌患者接受了磁共振成像(MR)检查。将检查结果与手术获得的病理结果进行关联。我们在轴位平面上测量圆形或椭圆形可疑肿块的最大直径(MAD)。确定了两个不同的临界值:淋巴结直径大于1.0 cm(标准1),以及对于直径在0.5 cm至1.0 cm之间的淋巴结,直径大于0.5 cm且相对于对侧不对称(标准2)。对于标准1,MR成像检测盆腔淋巴结转移的准确率为88%,灵敏度为65%,特异度为96%,阳性预测值为88%,阴性预测值为88%。考虑标准2时,MR成像的准确率为85%,灵敏度为75%,特异度为89%,阳性预测值为71%,阴性预测值为91%。5.6%的病例存在正常的小不对称淋巴结。正常或炎性盆腔淋巴结的不对称并不少见。在小的可疑淋巴结病例中,不能依靠它来诊断转移性累及,特别是因为其低特异度和阳性预测值。

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