Sakaguchi T, Yamashita Y, Katahira K, Nishimura R, Baba Y, Arakawa A, Takahashi M, Yumoto E, Shinohara M
Department of Radiology, Kumamoto University School of Medicine, Honjo, Japan.
Radiat Med. 2001 May-Jun;19(3):119-25.
The purpose of this study was to differentiate reactive small round lymph nodes (SRLNs) from metastases by power Doppler ultrasonography (PD-US) and contrast-enhanced CT (CE-CT).
Both PD-US and CE-CT were performed in 99 cervical lymph nodes (LNs) with a maximum diameter of 1.5 cm or smaller and maximum longitudinal/transverse ratio of 1.5 or smaller in 76 patients with head and neck cancer. At pathologic examinations, 45 were reactive and 54 were metastatic LNs. The vascular patterns on PD-US were classified as hilar, avascular, peripheral, and miscellaneous vascular patterns. The enhancement patterns on CE-CT were classified as homogeneous, heterogeneous, and ring enhancement.
On PD-US, the hilar pattern was more frequently associated with benignancy (91%) and the peripheral, miscellaneous vascular pattern with malignancy (91%). The avascular pattern included both benign (58%) and malignant (42%) LNs. On PD-US, accuracy was 85%. On CE-CT, ring enhancement showed metastasis (100%), and these LNs showed avascular or peripheral patterns on PD-US. On CE-CT, accuracy was 77%. When information on CE-CT results was added to PD-US results, the accuracy rate increased significantly, to 94% (p=0.01).
Vascular patterns evaluated with PD-US and enhancement patterns on CE-CT can characterize SRLNs. For an avascular pattern on PD-US, information on CE-CT results can significantly increase the accuracy of characterization.
本研究旨在通过能量多普勒超声(PD-US)和对比增强CT(CE-CT)鉴别反应性小圆形淋巴结(SRLNs)与转移性淋巴结。
对76例头颈部癌患者的99个最大直径为1.5 cm或更小且最大纵横比为1.5或更小的颈部淋巴结(LNs)进行了PD-US和CE-CT检查。病理检查发现,45个为反应性淋巴结,54个为转移性淋巴结。PD-US上的血管模式分为门型、无血管型、周边型和混合型血管模式。CE-CT上的强化模式分为均匀强化、不均匀强化和环形强化。
在PD-US上,门型模式更常与良性相关(91%),周边型、混合型血管模式与恶性相关(91%)。无血管型模式包括良性(58%)和恶性(42%)淋巴结。在PD-US上,准确率为85%。在CE-CT上,环形强化提示转移(100%),且这些淋巴结在PD-US上显示无血管或周边型模式。在CE-CT上,准确率为77%。当将CE-CT结果信息添加到PD-US结果中时,准确率显著提高至94%(p=0.01)。
用PD-US评估的血管模式和CE-CT上的强化模式可对SRLNs进行特征性描述。对于PD-US上的无血管型模式,CE-CT结果信息可显著提高特征性描述的准确性。