李帅,王猛,高飞,周志刚.CT引导下经皮肺穿刺活检鉴别肺良、恶性磨玻璃结节[J].中国介入影像与治疗学,2026,23(6):355-359
CT引导下经皮肺穿刺活检鉴别肺良、恶性磨玻璃结节
CT-guided percutaneous transthoracic lung biopsy for differentiating pulmonary benign and malignant ground-glass nodules
投稿时间:2026-03-16  修订日期:2026-05-09
DOI:10.13929/j.issn.1672-8475.2026.06.007
中文关键词:  肺肿瘤  穿刺术  活组织检查  并发症  体层摄影术,X线计算机
英文关键词:lung neoplasms  punctures  biopsy  complications  tomography,X-ray computed
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作者单位E-mail
李帅 郑州大学第一附属医院放射科, 河南 郑州 450000  
王猛 郑州大学第一附属医院放射科, 河南 郑州 450000  
高飞 郑州大学第一附属医院放射科, 河南 郑州 450000  
周志刚 郑州大学第一附属医院放射科, 河南 郑州 450000 zzg151217@163.com 
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中文摘要:
      目的 观察CT引导下经皮肺穿刺活检(CT-PTLB)用于鉴别肺良、恶性磨玻璃结节(GGN)的价值。方法 回顾性收集443例接受CT-PTLB的肺GGN患者,共纳入443个结节,包括良性95个、恶性348个;根据直径分为≤10 mm组(A组,n=215)、>10 mm且≤20 mm组(B组,n=181)及>20 mm组(C组,n=47)。以术后病理或12个月及以上影像学随访结果为参考标准评估CT-PTLB的鉴别效能;利用logistic回归分析观察CT-PTLB后并发症的独立危险因素。结果 CT-PTLB鉴别肺良、恶性GGN的敏感度为89.08%、特异度为100%、准确率为91.42%,阳性预测值为100%、阴性预测值为71.43%;3组间准确率及敏感度差异有统计学意义且均随结节直径增大而升高(P均<0.05)。CT-PTLB后54例(54/443,12.19%)发生气胸、111例(111/443,25.06%)发生肺内出血;A组、B组、C组气胸发生率分别为12.56%(27/215)、10.50%(19/181)、17.02%(8/47),肺内出血发生率分别为25.58%(55/215)、24.86%(45/181)、23.40%(11/47),3组间差异均无统计学意义(P均>0.05)。logistic回归分析结果显示,穿刺经肺深度及穿刺时间为气胸的独立危险因素(P均<0.05),且前者为肺内出血的独立危险因素(P<0.05)。结论 CT-PTLB有助于鉴别肺良、恶性GGN。
英文摘要:
      Objective To observe the value of CT-guided percutaneous transthoracic lung biopsy (CT-PTLB) for differentiating pulmonary benign and malignant ground-glass nodules (GGN). Methods A total of 443 pulmonary GGN in 443 patients who underwent CT-PTLB were retrospectively enrolled, including 95 benign and 348 malignant nodules. Then GGN were divided into ≤10 mm group (group A, n=215), >10 mm and ≤20 mm group (group B, n=181), and >20 mm group (group C, n=47). Taken postoperative pathology or imaging follow-up results for no less than 12 months as the reference standards, the efficacy of CT-PTLB for differentiating benign and malignant GGN was evaluated, and the independent risk factors of complications after CT-PTLB were screened with logistic regression analysis. Results The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of CT-PTLB for differentiating pulmonary benign and malignant GGN was 89.08%, 100%, 91.42%, 100% and 71.43%, respectively. Significant differences of the accuracy and sensitivity were found among 3 groups, and both the accuracy and sensitivity increased with the increase of nodule diameter (both P<0.05). After CT-PTLB, 54 cases (54/443, 12.19%) developed pneumothorax and 111 cases (111/443, 25.06%) developed pulmonary hemorrhage. The incidence of pneumothorax in group A, B and C was 12.56% (27/215), 10.50% (19/181) and 17.02% (8/47), respectively, and of pulmonary hemorrhage was 25.58% (55/215), 24.86% (45/181) and 23.40% (11/47), respectively, both not significantly different among 3 groups (both P>0.05). Logistic regression analysis results showed that the puncture depth into lung and puncture time were both independent risk factors of pneumothorax (both P<0.05), and the former was independent risk factor of pulmonary hemorrhage (P<0.05). Conclusion CT-PTLB was helpful for differentiating pulmonary benign and malignant GGN.
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