对高危非吸烟者进行肺癌筛查:矫枉过正还是是时候满足未被满足的需求了?
01 November 2023
Anand Sachithanandan
摘要
参考资料
- National Cancer Institute. (2019). Malaysia national cancer registry report 2012–2016 (MOH/P/IKN/05.19(AR)). Ministry of Health, Malaysia.
- National Cancer Institute. (2018). Malaysian study on cancer survival (MySCAN). Ministry of Health, Malaysia. http://nci.moh.gov.my/index.php/ms/main-menu-2/laporan
- Goldstraw, P., Chansky, K., Crowley, J., Rami-Porta, R., Asamura, H., Eberhardt, W. E. E., Nicholson, A. G., Groome, P., Mitchell, A., Bolejack, V., & International Association for the Study of Lung Cancer Staging and Prognostic Factors Committee. (2016). The IASLC lung cancer staging project: Proposals for revision of the TNM stage groupings in the forthcoming (eighth) edition of the TNM classification for lung cancer. Journal of Thoracic Oncology, 11(1), 39–51. https://doi.org/10.1016/j.jtho.2015.09.009
- National Lung Screening Trial Research Team. (2011). Reduced lung-cancer mortality with low-dose computed tomographic screening. New England Journal of Medicine, 365(5), 395–409. https://doi.org/10.1056/NEJMoa1102873
- de Koning, H. J., van der Aalst, C. M., de Jong, P. A., Scholten, E. T., Nackaerts, K., Heuvelmans, M. A., Lammers, J. J., Weenink, C., Yousaf-Khan, U., Horeweg, N., van Kalmthout, S., Groen, M., Oudkerk, M., & Carozzi, U. (2020). Reduced lung-cancer mortality with volume CT screening in a randomized trial. New England Journal of Medicine, 382(6), 503–513. https://doi.org/10.1056/NEJMoa1911776
- Institute for Public Health. (2015). National Health and Morbidity Survey 2015: Report on smoking status among Malaysian adults. Ministry of Health, Malaysia.
- Institute for Public Health. (2022). Technical report: National Health and Morbidity Survey (NHMS) 2022: Adolescent health survey, Malaysia. Ministry of Health, Malaysia.
- Lam, D. C., Liam, C. K., Andarini, S., Park, S., Tan, D. S. W., Singh, N., Chan, C. Y., Ho, J. C., Le, A. T., Nguyen, V. V., Ji, Y., & Yang, P. (2023). Lung cancer screening in Asia: An expert consensus report. Journal of Thoracic Oncology, 18(10), 1303–1322. https://doi.org/10.1016/j.jtho.2023.07.011
- Hill, W., Lim, E. L., Weeden, C. E., Lee, C., Augustine, M., Chen, K., Kuan, F. C., Marongiu, F., Evans, E. J., Moore, D. A., Rodrigues, F. S., Pich, O., Bakker, B., de Carne Trecesson, S., Rowan, A., & Swanton, C. (2023). Lung adenocarcinoma promotion by air pollutants. Nature, 616(7955), 159–167. https://doi.org/10.1038/s41586-023-05874-3
- Yang, P. (2021). PS01.02 National Lung Cancer Screening Program in Taiwan: The TALENT study. Journal of Thoracic Oncology, 16(3), S58. https://doi.org/10.1016/j.jtho.2021.01.321
- Sachithanandan, A., & Badmanaban, B. (2012). Screening for lung cancer in Malaysia: Are we there yet? Medical Journal of Malaysia, 67(1), 3–6.
- Rajadurai, P., How, S. H., Liam, C. K., Sachithanandan, A., Soon, S. Y., & Tho, L. M. (2020). Lung cancer in Malaysia. Journal of Thoracic Oncology, 15(3), 317–323. https://doi.org/10.1016/j.jtho.2019.10.009
- Sachithanandan, A., Lockman, H., Azman, R. R., Tho, L. M., Ban, I., & Varughese, R. (2024). The potential role of artificial intelligence-assisted chest X-ray in identifying early lung cancer patients in the community—A proposed algorithm for lung cancer screening in Malaysia. Medical Journal of Malaysia, 79(1), 9–14.
- iTnews Asia. (2023, September 25). Malaysia's IKN to introduce AI-based tool to diagnose lung cancer and more than 30 lung-related diseases. https://www.itnews.asia/news/malaysias-ikn-to-introduce-aibased-tool-to-diagnose-lung-cancer-600577
- Knapton, S. (2023, June 23). NHS to use AI to analyse X-rays and speed up cancer diagnosis. The Telegraph. https://www.telegraph.co.uk/news/2023/06/23/nhs-lung-cancer-stroke-diagnosis-ai-analyse-x-rays/
- Mahboub, B., Tadepalli, M., Raj, T., Santhanakrishnan, R., Hachim, M. Y., Bastaki, U., Al-Zaabi, A., & Mathew, A. (2022). Identifying malignant nodules on chest X-rays: A validation study of radiologist versus artificial intelligence diagnostic accuracy. Advanced Biomedical and Health Sciences, 1(3), 137–143. https://doi.org/10.4103/abhs.abhs_33_22


