双源CT双能量技术在胸部肿瘤扫描中的临床应用价值

Clinical application value of dual-source dual-energy CT scanning technology for tumor of thorax

目的 探讨在胸部肿瘤扫描中双源CT双能量方法虚拟平扫及双能量碘分布图技术的临床应用价值.方法 分析58例患者胸部肿瘤性病变的CT及临床资料.比较双能量组经处理得到的虚拟平扫与常规平扫相关指标,比较双能量组经处理得到的碘分布图强化CT值与常规组人工测量强化值对病灶良、恶性鉴别诊断的准确度.结果 虚拟平扫与常规平扫图像质量评分分别为（4.62±0.52）、（4.71±0.46）分（t=2.319,P＞ 0.05）,图像噪声分别为（8.10±1.16）、（7.30±1.06） HU（t=5.246,P＜ 0.05）,有效剂量分别为（5.18±0.96）、（5.55±1.18）mSv（t=4.005,P＜0.05）.碘分布图CT值与净强化CT值有良好相关性.结论 虚拟平扫图像对肺部病变显示良好,可满足诊断要求,有代替胸部常规平扫的潜在价值.双能量碘分布网反映血供的能力更直接、更敏感,可以定量表达病灶的强化程度,为临床肿瘤病变诊断提供更丰富的信息.

Objective To investigate the clinical applications of dual-source dual-energy CT and dual-energy virtual unenhanced iodine distribution technology in thoracic tumor scans.Methods CT and clinical data of 58 cases of patients with thorax tumor were analyzed.The quality score,the noise,the average lesion CT values and radiation dose were compared between dual-energy group virtual unenhanced and conventional unenhanced image.The lesion benign and malignant differential diagnosis by strengthen the distribution of iodine value in dual-energy group and strengthen the value of manual measurement in conventional CT group were compared.Results The quality scores in virtual unenhanced and conventional unenhanced image were （4.62±0.52） and （4.71±0.46） points （t =2.319,P ＞ 0.05）.The noise in virtual unenhanced images and conventional unenhanced image were （8.10±1.16） and （7.30±1.06） HU （t =5.246,P＜ 0.05）.The effective dose in virtual unenhanced and in conventional plain were （5.18±0.96） and （5.55±1.18） mSv （t =4.005,P ＜ 0.05）.CT value distribution of iodine was correlated with enhanced CT values.Conclusions The virtual unenhanced images can show well lung disease,which meet the diagnostic requirements and may be instead of the conventional plain chest potential value.Dual-energy iodine distribution of lesions can observe blood supply more directly and more sensitively,can quantityze expression of the extent of the lesions enhanced to provide richer information for clinical diagnosis of tumor lesions.