摘要
目的:探讨Lung RADS分级在肺癌筛查的价值及恶性结节的特征变化,提高诊断准确率。方法:回顾性分析2 580例肺癌高危人群基线筛查资料,重新按Lung RADS分级标准,实性及部分实性结节≥6 mm、磨玻璃密度结节≥20 mm为筛查阳性界值,观察Lung RADS分级3-4级肺结节的肺癌阳性预测率;并分析随访中结节的细部特征变化。结果:与国际早期肺癌行动计划(I-ELCAP)筛查阳性结果比较,基线筛查总体阳性率从22.9%(591/2 580)降至13.8%(357/2 580),肺癌阳性预测率由6.9%(41/591)上升到11.5%(41/357)。其中3级(246例)手术病理确诊为肺癌8例,4A+4B级(共111例)手术病理确诊为肺癌33例,3+4级(357例)共确诊为肺癌的41例,与I-ELCAP分类统计确诊肺癌数量相同。结论 :Lung RADS分级更合理地分类肺癌筛查结果,减少了低风险患者的随访频率,提升肺癌阳性预测率,结合随访中结节特征变化,对提高肺结节的诊断准确率有很大的帮助。
Objective: To investigate the value of Lung RADS grading in the screening of lung cancer and the character- istics of malignant nodules, and to improve the diagnostic accuracy. Methods: The findings on baseline screening in 2 580 persons at high-risk for lung cancer were retrospectively analyzed. According to the Lung RADS grading standards, solid and part solid nodules ≥6 mm, ground-glass density nodules ≥20 mm served as a positive value for screening to observe lung cancer positive predictive rate of RADS 3-4 pulmonary nodules, and followed-up to analyze nodule in detail characteristics change. Results: Compared with the screening positive results of the international early lung cancer action program(I-ELCAP), baseline screening overall positive rate was decreased from 22.9%(591/2 580) to 13.8%(357/2 580), lung cancer-positive predic- tion rate was increased from 6.9%(41/591) to 11.5%(41/357). 8 cases of lung cancer were confirmed by surgery and pathology among 246 cases(Grade 3), 33 cases of lung cancer were diagnosed by pathology among 111 cases(Grade 4A+4B), 41 cases of lung cancer were diagnosed among 357 cases (Grade 3+4), and the number of lung cancer was the same as that of I-ELCAP. Conclusion: Lung RADS grading may be more reasonable to classify the results of lung cancer screening, and reduce the fol- low-up frequency of patients with low risk, improve the positive rate of lung cancer, combined with the characteristics changes of the nodules, the diagnostic accuracy of pulmonary nodules was greatly improved.
出处
《中国临床医学影像杂志》
CAS
北大核心
2015年第9期635-637,645,共4页
Journal of China Clinic Medical Imaging