Impact of pulmonary tuberculosis on lung cancer screening: a narrative review
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...
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Ewha Womans University College of Medicine
2025-04-01
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| Series: | The Ewha Medical Journal |
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| Online Access: | http://www.e-emj.org/upload/pdf/emj-2025-00052.pdf |
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| author | Jeong Uk Lim |
| author_facet | Jeong Uk Lim |
| author_sort | Jeong Uk Lim |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a06db1d626d748179f06f734d9c82ec0 |
| institution | Kabale University |
| issn | 2234-3180 2234-2591 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Ewha Womans University College of Medicine |
| record_format | Article |
| series | The Ewha Medical Journal |
| spelling | doaj-art-a06db1d626d748179f06f734d9c82ec02025-08-26T00:04:46ZengEwha Womans University College of MedicineThe Ewha Medical Journal2234-31802234-25912025-04-0148210.12771/emj.2025.000521607Impact of pulmonary tuberculosis on lung cancer screening: a narrative reviewJeong Uk Lim0Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, KoreaLung 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.http://www.e-emj.org/upload/pdf/emj-2025-00052.pdfartificial intelligencebiomarkersearly detection of cancerlung neoplasmspulmonary tuberculosis |
| spellingShingle | Jeong Uk Lim Impact of pulmonary tuberculosis on lung cancer screening: a narrative review The Ewha Medical Journal artificial intelligence biomarkers early detection of cancer lung neoplasms pulmonary tuberculosis |
| title | Impact of pulmonary tuberculosis on lung cancer screening: a narrative review |
| title_full | Impact of pulmonary tuberculosis on lung cancer screening: a narrative review |
| title_fullStr | Impact of pulmonary tuberculosis on lung cancer screening: a narrative review |
| title_full_unstemmed | Impact of pulmonary tuberculosis on lung cancer screening: a narrative review |
| title_short | Impact of pulmonary tuberculosis on lung cancer screening: a narrative review |
| title_sort | impact of pulmonary tuberculosis on lung cancer screening a narrative review |
| topic | artificial intelligence biomarkers early detection of cancer lung neoplasms pulmonary tuberculosis |
| url | http://www.e-emj.org/upload/pdf/emj-2025-00052.pdf |
| work_keys_str_mv | AT jeonguklim impactofpulmonarytuberculosisonlungcancerscreeninganarrativereview |