摘要
目的：探讨能谱 CT 诊断肺结节、肿块的价值。方法：选取33例 X 线发现肺结节、肿块的患者，进行宝石能谱成像（GSI）模式三期增强扫描，利用 GSI 后处理功能，分别测量动脉期（30 s）、静脉期（60 s）及延迟期（90 s）病灶的能谱曲线斜率以及标准化碘浓度（NIC），测定各病灶区混合能量 CT 值，比较各参数间的差异并进行统计学分析。结果：33例患者经手术病理证实，其中恶性病变17例（恶性组），炎性病变8例（炎性组），除炎性病变外的良性病变8例（良性组）。动脉期、静脉期及延迟期三组病变混合能量 CT 值、能谱曲线斜率（40～80 keV）以及 NIC 值均为炎性病变最高，良性病变最低。良性组与其他两组进行比较，病灶在动脉早期及延迟期扫描中混合能量下的 CT 值、能谱曲线斜率及 NIC 值差异均有统计学意义（P＜0．05）；炎性组与恶性组比较，仅能谱曲线斜率及 NIC 值在动脉早期及延迟期差异有统计学意义（P＜0．05）。结论：能谱 CT 有助于鉴别诊断肺结节、肿块，尤其是动脉早期及延迟期的能谱曲线斜率及 NIC 值诊断价值较高。
To study the value of spectral CT imaging in differentiation of pulmonary nodules/masses. Methods：33 cases with pulmonary nodule or mass received triphasic pulmonary enhanced CT scan in GSI （gemstone spectral imaging）mode on a MDCT （Discovery CT 750 HD,GE healthcare）.All raw data were sent to AW4.6 workstation and processed by the software of GSI work station.CT value under mixture energy,slope rate of spectral curve,normalized io-dine concentration （NIC）were measured and calculated in three phases,respectively.Variances among parameters were ana-lyzed and T-Test was used to compare the results.Results：33 cases proved by pathology were divided into three groups. Group A：inflammatory lesions （8 cases）,group B：benign lesions except inflammatory cases （8 cases）and group C：malig-nant lesions （17 cases）.These three parameters,CT value under mixture energy,slope rate of spectral curve,and normalized iodine concentration,were found highest in group A,and lowest in group B.There were significant differences in the three parameters either between group B and C or between group B and A in arterial phase and delayed phase.In arterial phase and delayed phase,there were significant differences in the slope rate and NIC between group A and C.Conclusion：Spectral CT imaging is helpful in the diagnosis of pulmonary nodules/masses,especially the slope rate of spectral curve and NIC val-ue in both arterial and delayed phases.
出处
《放射学实践》
2014年第9期998-1002,共5页
Radiologic Practice
关键词
肺结节
能谱成像
体层摄影术
X
线计算机
诊断
鉴别
Pulmonary nodule
Spectral imaging
Tomography,X-ray computed
Diagnosis,differential
