目的探讨能谱CT联合超声C-TIRADS分级鉴别甲状腺结节良恶性的价值。方法选取2023年5月至2024年5月滨州医学院附属医院收治的70例甲状腺结节患者进行回顾性分析,其中良性结节26例,恶性结节44例。术前均行超声检查及能谱CT增强扫描。比较...目的探讨能谱CT联合超声C-TIRADS分级鉴别甲状腺结节良恶性的价值。方法选取2023年5月至2024年5月滨州医学院附属医院收治的70例甲状腺结节患者进行回顾性分析,其中良性结节26例,恶性结节44例。术前均行超声检查及能谱CT增强扫描。比较两组年龄、性别、结节长径、能谱CT参数等资料。通过单因素及多因素分析筛选出能谱CT的独立预测因素,引入超声C-TIRADS分级构建列线图模型。采用Bootstrap法迭代1000次,内部验证模型的稳定性。采用独立样本t检验、Mann-Whitney U检验、χ^(2)检验进行统计分析。结果良性组和恶性组能谱参数[包括动脉期及静脉期碘浓度(iodine concentration,IC)、标准化碘浓度(normal iodine concentration,NIC)、能谱曲线斜率(slope of the energy spectrum curve,λHU)]以及结节长径比较,差异均有统计学意义(均P<0.05)。多因素分析表明,动脉期IC及静脉期NIC是鉴别甲状腺结节良恶性的独立预测因素(均P<0.05)。基于上述变量构建预测模型,该模型曲线下面积(AUC)为0.940。利用超声C-TIRADS分级诊断甲状腺结节良恶性,其AUC为0.823。超声C-TIRADS分级联合能谱CT参数构建列线图,其AUC为0.982。校准曲线显示,列线图校准度表现优秀,Brier评分为0.051。决定曲线分析显示,在广泛阈值概率范围内,列线图均表现出较好的临床净收益。应用Bootstrap法进行1000次迭代,计算平均AUC来对列线图模型进行内部验证,平均AUC为0.961。结论能谱CT预测模型AUC高于超声C-TIRADS分级。联合模型可以提高能谱CT及超声C-TIRADS分级鉴别甲状腺结节良恶性的效能。展开更多
Brachial plexuses of 110 healthy volunteers were examined using high resolution color Doppler ultrasound. Ultrasonic characteristics and anatomic variation in the intervertebral foramen, interscalene, supraclavicular ...Brachial plexuses of 110 healthy volunteers were examined using high resolution color Doppler ultrasound. Ultrasonic characteristics and anatomic variation in the intervertebral foramen, interscalene, supraclavicular and infraclavicular, as well as the axillary brachial plexus were investigated. Results confirmed that the normal brachial plexus on cross section exhibited round or elliptic hypoechoic texture. Longitudinal section imaging showed many parallel linear hypo-moderate echoes, with hypo-echo. The transverse processes of the seventh cervical vertebra, the scalene space, the subclavian artery and the deep cervical artery are important markers in an examination. The display rates for the interscalene, and supraclavicular and axillary brachial plexuses were 100% each, while that for the infraclavicular brachial plexus was 97%. The region where the normal brachial plexus root traversed the intervertebral foramen exhibited a regular hypo-echo. The display rate for the C5-7 nerve roots was 100%, while those for C8 and T1 were 83% and 68%, respectively. A total of 20 of the 110 subjects underwent cervical CT scan. High-frequency ultrasound can clearly display the outline of the transverse processes of the vertebrae, which were consistent with CT results. These results indicate that high-frequency ultrasound provides a new method for observing the morphology of the brachial plexus. The C~ vertebra is a marker for identifying the position of brachial plexus nerve roots.展开更多
文摘目的探讨能谱CT联合超声C-TIRADS分级鉴别甲状腺结节良恶性的价值。方法选取2023年5月至2024年5月滨州医学院附属医院收治的70例甲状腺结节患者进行回顾性分析,其中良性结节26例,恶性结节44例。术前均行超声检查及能谱CT增强扫描。比较两组年龄、性别、结节长径、能谱CT参数等资料。通过单因素及多因素分析筛选出能谱CT的独立预测因素,引入超声C-TIRADS分级构建列线图模型。采用Bootstrap法迭代1000次,内部验证模型的稳定性。采用独立样本t检验、Mann-Whitney U检验、χ^(2)检验进行统计分析。结果良性组和恶性组能谱参数[包括动脉期及静脉期碘浓度(iodine concentration,IC)、标准化碘浓度(normal iodine concentration,NIC)、能谱曲线斜率(slope of the energy spectrum curve,λHU)]以及结节长径比较,差异均有统计学意义(均P<0.05)。多因素分析表明,动脉期IC及静脉期NIC是鉴别甲状腺结节良恶性的独立预测因素(均P<0.05)。基于上述变量构建预测模型,该模型曲线下面积(AUC)为0.940。利用超声C-TIRADS分级诊断甲状腺结节良恶性,其AUC为0.823。超声C-TIRADS分级联合能谱CT参数构建列线图,其AUC为0.982。校准曲线显示,列线图校准度表现优秀,Brier评分为0.051。决定曲线分析显示,在广泛阈值概率范围内,列线图均表现出较好的临床净收益。应用Bootstrap法进行1000次迭代,计算平均AUC来对列线图模型进行内部验证,平均AUC为0.961。结论能谱CT预测模型AUC高于超声C-TIRADS分级。联合模型可以提高能谱CT及超声C-TIRADS分级鉴别甲状腺结节良恶性的效能。
基金funded by the Fundamental Research Funds for the Higher Learning Schools of Youth Teacher Education Program of Sun Yat-sen University in 2009,No.09YKPY05the Natural Science Foundation of Guangdong Province,No.S2011010004708
文摘Brachial plexuses of 110 healthy volunteers were examined using high resolution color Doppler ultrasound. Ultrasonic characteristics and anatomic variation in the intervertebral foramen, interscalene, supraclavicular and infraclavicular, as well as the axillary brachial plexus were investigated. Results confirmed that the normal brachial plexus on cross section exhibited round or elliptic hypoechoic texture. Longitudinal section imaging showed many parallel linear hypo-moderate echoes, with hypo-echo. The transverse processes of the seventh cervical vertebra, the scalene space, the subclavian artery and the deep cervical artery are important markers in an examination. The display rates for the interscalene, and supraclavicular and axillary brachial plexuses were 100% each, while that for the infraclavicular brachial plexus was 97%. The region where the normal brachial plexus root traversed the intervertebral foramen exhibited a regular hypo-echo. The display rate for the C5-7 nerve roots was 100%, while those for C8 and T1 were 83% and 68%, respectively. A total of 20 of the 110 subjects underwent cervical CT scan. High-frequency ultrasound can clearly display the outline of the transverse processes of the vertebrae, which were consistent with CT results. These results indicate that high-frequency ultrasound provides a new method for observing the morphology of the brachial plexus. The C~ vertebra is a marker for identifying the position of brachial plexus nerve roots.