Lim Jeong Uk
Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Ewha Med J. 2025 Apr;48(2):e23. doi: 10.12771/emj.2025.00052. Epub 2025 Mar 26.
Lung cancer remains a leading cause of cancer-related mortality worldwide. Low-dose computed tomography (LDCT) screening has demonstrated efficacy in reducing lung cancer mortality by enabling early detection. In several countries, including Korea, LDCT-based screening for high-risk populations has been incorporated into national healthcare policies. However, in regions with a high tuberculosis (TB) burden, the effectiveness of LDCT screening for lung cancer may be influenced by TB-related pulmonary changes. Studies indicate that the screen-positive rate in TB-endemic areas differs from that in low-TB prevalence regions. A critical challenge is the differentiation between lung cancer lesions and TB-related abnormalities, which can contribute to false-positive findings and increase the likelihood of unnecessary invasive procedures. Additionally, structural lung damage from prior TB infections can alter LDCT interpretation, potentially reducing diagnostic accuracy. Nontuberculous mycobacterial infections further complicate this issue, as their radiologic features frequently overlap with those of TB and lung cancer, necessitating additional microbiologic confirmation. Future research incorporating artificial intelligence and biomarkers may enhance diagnostic precision and facilitate a more personalized approach to lung cancer screening in TB-endemic settings.
肺癌仍然是全球癌症相关死亡的主要原因。低剂量计算机断层扫描(LDCT)筛查已证明通过早期检测可有效降低肺癌死亡率。在包括韩国在内的几个国家,基于LDCT的高危人群筛查已纳入国家医疗政策。然而,在结核病(TB)负担较高的地区,LDCT肺癌筛查的有效性可能会受到与TB相关的肺部变化的影响。研究表明,TB流行地区的筛查阳性率与TB患病率低的地区不同。一个关键挑战是区分肺癌病变和与TB相关的异常,这可能导致假阳性结果,并增加不必要的侵入性检查的可能性。此外,既往TB感染造成的肺部结构损伤会改变LDCT的解读,可能降低诊断准确性。非结核分枝杆菌感染使这个问题更加复杂,因为它们的放射学特征经常与TB和肺癌的特征重叠,需要额外的微生物学确认。未来结合人工智能和生物标志物的研究可能会提高诊断精度,并促进在TB流行地区采用更个性化的肺癌筛查方法。