1
|
Chang YC, Hung YC, Wu YJ, Tang EK, Wu FZ. Understanding East-West differences in subsolid nodules: prevalence and overdiagnosis implications in lung cancer screening. Ann Med 2025; 57:2478321. [PMID: 40075292 PMCID: PMC11912254 DOI: 10.1080/07853890.2025.2478321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Revised: 01/21/2025] [Accepted: 02/06/2025] [Indexed: 03/14/2025] Open
Abstract
BACKGROUND Owing to the widespread opportunistic LDCT screening leading to increased overdiagnosis in Asian countries, such as South Korea, mainland China, and Taiwan, this study seeks to analyze the divergence in SSN prevalence between Eastern and Western nations, focusing on the influence of SSN on the growing overdiagnosis trend, notably among females. METHODS This retrospective study collected data from 4166 participants who underwent baseline LDCT in a hospital-based cohort between January 2014 and August 2021. Clinical parameters, including age, sex, lung imaging reporting and data system (Lung-RADS) categories, smoking history, pack-year dose, and SSN characteristics, were extracted from electronic medical records. Additionally, a narrative review and pooled analysis integrated relevant published studies on the prevalence of subsolid nodules and sex disparities. RESULTS The study encompassed 4166 participants, with females accounting for 49.3% and males for 50.7%, with a mean age of 53.38 ± 10.89. The prevalence of SSNs was significantly higher in females (20.1%) than in males (12.6%). Pooled analysis across seven studies revealed a significantly higher prevalence of SSN in Eastern countries (12.6%) compared to the prevalence in Western countries (3.6%) (test for subgroup differences: p < 0.01; I2 = 100%). Additionally, a notable sex difference was observed in the prevalence of SSNs (risk ratio = 0.489, 95% CI: 0.301-0.796, p < 0.01; reference group: male group). CONCLUSIONS Apart from differences in clinical management and health literacy regarding SSNs between Eastern and Western countries, the high prevalence of SSNs in Asian nations, particularly among females, significantly contributes to the issue of overdiagnosis in opportunistic lung cancer screening in Asian countries. Tailored sex-specific strategies and risk prediction models are essential for effective screening optimization.
Collapse
Affiliation(s)
- Yeun-Chung Chang
- Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
| | - Yi-Chi Hung
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
- Department of Medical Imaging and Radiology, Shu-Zen Junior College of Medicine and Management, Kaohsiung, Taiwan
| | - Yun-Ju Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - En-Kuei Tang
- Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Fu-Zong Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
- Institute of Education, National Sun Yat-sen University, Kaohsiung, Taiwan
- Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
- Faculty of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| |
Collapse
|
2
|
Kim SY, Silvestri GA, Kim YW, Kim RY, Um SW, Im Y, Hwang JH, Choi SH, Eom JS, Gu KM, Kwon YS, Lee SY, Lee HW, Park DW, Heo Y, Jang SH, Choi KY, Kim Y, Park YS. Screening for Lung Cancer, Overdiagnosis, and Healthcare Utilization: A Nationwide Population-Based Study. J Thorac Oncol 2025; 20:577-588. [PMID: 39662732 PMCID: PMC12066224 DOI: 10.1016/j.jtho.2024.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2024] [Revised: 11/25/2024] [Accepted: 12/05/2024] [Indexed: 12/13/2024]
Abstract
INTRODUCTION Guideline-discordant low-dose computed tomography (LDCT) screening may cause lung cancer (LC) overdiagnosis, but its extent and consequences are unclear. This study aimed to investigate the prevalence of self-initiated, non-reimbursed LDCT screening in a predominantly non-smoking population and its impact on LC epidemiology and healthcare utilization. METHODS This nationwide cohort study analyzed data from Korea's National Health Information Database and 11 academic hospital screening centers (1999-2022). The overall analysis encompassed the entire Korean population. For non-reimbursed LDCT screening prevalence, which the National Health Information Database does not capture, a separate analysis was conducted on a cohort of 1.7 million adults to extrapolate nationwide rates. Outcomes included trends in self-initiated, non-reimbursed LDCT screening, LC incidence, mortality, stage and age at diagnosis, 5-year survival, and LC-related healthcare utilization, including surgeries and biopsies. Joinpoint regression assessed trend changes. RESULTS Self-initiated, non-reimbursed LDCT screening during health check-ups increased from 29% to 60% in men and 7% to 46% in women, despite only 2.4% of men and 0.04% of women qualifying for risk-based screening. In women, localized-stage LC incidence nearly doubled (age-standardized incidence rate: from 7.6 to 13.7 per 100,000), whereas distant-stage incidence decreased (age-standardized incidence rate: from 16.1 to 15.0 per 100,000). LC mortality declined (age-standardized mortality rate: from 23.3 to 19.8 per 100,000), whereas 5-year survival rates improved substantially. LC diagnoses in women shifted towards earlier stages and younger ages. Lung surgeries for both malignant and benign lesions, frequently lacking nonsurgical biopsies, increased sharply in women. CONCLUSIONS Widespread guideline-discordant LDCT screening correlates with LC overdiagnosis and increased healthcare utilization, particularly in women. Randomized controlled trials are needed to assess the risks and benefits of screening in low-risk populations to determine its efficacy and consequences.
Collapse
Affiliation(s)
- So Yeon Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Gerard A Silvestri
- Division of Pulmonary and Critical Care Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Yeon Wook Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Roger Y Kim
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Sang-Won Um
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yunjoo Im
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jung Hye Hwang
- Center for Health Promotion, Samsung Medical Center, Seoul, South Korea
| | - Seung Ho Choi
- Department of Internal Medicine, Healthcare Research Institute, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, South Korea
| | - Jung Seop Eom
- Department of Internal Medicine, Pusan National University School of Medicine, Busan, South Korea
| | - Kang Mo Gu
- Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, South Korea
| | - Yong-Soo Kwon
- Department of Internal Medicine, Chonnam National University Hospital, Gwangju, South Korea
| | - Shin Yup Lee
- Department of Internal Medicine, Kyungpook National University School of Medicine, Kyungpook National University Chilgok Hospital, Daegu, South Korea
| | - Hyun Woo Lee
- Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Dong Won Park
- Division of Pulmonary Medicine and Allergy, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, South Korea
| | - Yeonjeong Heo
- Department of Internal Medicine, School of Medicine, Kangwon National University, Chuncheon, South Korea
| | - Seung Hun Jang
- Department of Pulmonary, Allergy, and Critical Care Medicine, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Kwang Yong Choi
- Department of Pulmonary, Allergy, and Critical Care Medicine, Hallym University Sacred Heart Hospital, Anyang, South Korea
| | - Yeol Kim
- Department of Cancer Control, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, South Korea
| | - Young Sik Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.
| |
Collapse
|
3
|
Li J, Xu HL, Li WX, Ma XY, Liu XH, Zhang ZF. Prognostic factors of survival in patients with lung cancer after low-dose computed tomography screening: a multivariate analysis of a lung cancer screening cohort in China. BMC Cancer 2025; 25:646. [PMID: 40205334 PMCID: PMC11984240 DOI: 10.1186/s12885-025-14036-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2024] [Accepted: 03/28/2025] [Indexed: 04/11/2025] Open
Abstract
OBJECTIVE This study aimed to evaluate the prognostic factors influencing the survival of patients with lung cancer identified from a lung cancer screening cohort in the community. METHODS A total of 25,310 eligible participants were enrolled in this population-based prospective cohort study, derived from a community lung cancer screening program started from 2013 to 2017. Survival analyses were conducted using the Kaplan-Meier method and the log-rank test. Cox proportional hazards regression models were utilized to identify prognostic factors, including demographic characteristics, risk factors, low-dose CT (LDCT) screening, and treatment information. RESULTS The screening cohort identified a total of 429 patients with lung cancer (276 men, 153 women) during the study period. The 1-year, 3-year, and 5-year survival rates were 74.4%, 59.4% and 54.5%, respectively. The prognostic factors discovered by the multivariate analysis include gender (male vs. female, HR: 2.96, 95% CI: 1.88-4.64), age (HR: 1.02, 95% CI: 1.00-1.05), personal monthly income (2000-3999 CNY vs. < 2000 CNY, HR: 0.70, 95% CI: 0.52-0.95), pathological type (small cell carcinoma vs. adenocarcinoma, HR: 2.55, 95% CI: 1.39-4.66), stage (IV vs. 0-I, HR: 5.21, 95% CI: 2.78-9.75; III vs. 0-I, HR: 3.81, 95% CI: 1.88-7.74), surgery (yes vs. no, HR: 0.36, 95% CI: 0.23-0.57), and KPS (HR: 0.98, 95% CI: 0.98-0.99) among lung cancer patients identified by the basic model. Furthermore, solid nodule (non-solid nodule vs. solid nodule, HR: 0.47, 95% CI: 0.23-0.96) and larger-sized nodule (HR: 1.02, 95% CI: 1.00-1.03) were associated with a worse prognosis for lung cancer in the LDCT screening model. CONCLUSION Prognostic factors of patients with lung cancer detected by LDCT screening were identified, which could potentially guide clinicians in the decision-making process for lung cancer management and treatment. Further studies with larger sample sizes and more detailed follow-up data are warranted for prognostic prediction.
Collapse
Affiliation(s)
- Jun Li
- Department of Non-Communicable Diseases Prevention and Control, Shanghai Minhang Center for Disease Control and Prevention, Shanghai, 201101, China
| | - Hui-Lin Xu
- Department of Non-Communicable Diseases Prevention and Control, Shanghai Minhang Center for Disease Control and Prevention, Shanghai, 201101, China
| | - Wei-Xi Li
- Department of Non-Communicable Diseases Prevention and Control, Shanghai Minhang Center for Disease Control and Prevention, Shanghai, 201101, China
| | - Xiao-Yu Ma
- Department of Non-Communicable Diseases Prevention and Control, Shanghai Minhang Center for Disease Control and Prevention, Shanghai, 201101, China
| | - Xiao-Hua Liu
- Department of Non-Communicable Diseases Prevention and Control, Shanghai Minhang Center for Disease Control and Prevention, Shanghai, 201101, China.
| | - Zuo-Feng Zhang
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, 90095, USA.
| |
Collapse
|
4
|
Zou PL, Ma CH, Li X, Luo TY, Lv FJ, Li Q. Early Lung Adenocarcinoma Manifesting as Irregular Subsolid Nodules: Clinical and CT Characteristics. Acad Radiol 2025; 32:2320-2329. [PMID: 39732616 DOI: 10.1016/j.acra.2024.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2024] [Revised: 12/06/2024] [Accepted: 12/07/2024] [Indexed: 12/30/2024]
Abstract
RATIONALE AND OBJECTIVES To explore the clinical and computed tomography (CT) characteristics of early-stage lung adenocarcinoma (LADC) that presents with an irregular shape. MATERIALS AND METHODS The CT data of 575 patients with stage IA LADC and 295 with persistent inflammatory lesion (PIL) manifesting as subsolid nodules (SSNs) were analyzed retrospectively. Among these patients, we selected 233 patients with LADC and 140 patients with PIL, who showed irregular SSNs, hereinafter referred to as irregular LADC (I-LADC) and irregular PIL (I-PIL), respectively. The incidence rates, clinical characteristics, and CT features of I-LADC and I-PIL were compared. Additionally, binary logistic regression analysis was performed to determine the independent factors for diagnosing I-LADC. RESULTS The incidence rates of I-LADC and I-PIL were 40.5% (233/575) and 47.5% (140/295), respectively, with no statistically significant difference observed between the two groups (P > 0.05). Univariate analysis revealed significant differences in three clinical characteristics and 13 radiological features between I-LADC and I-PIL (all P < 0.05). Binary logistic regression indicated that the alignment of the long axis of SSN with the bronchial vascular bundle, a well-defined boundary of ground-glass opacity, lobulation, arc concave sign, and absence of knife-like change were the independent predictors of I-LADC, yielding an area under the curve and accuracy of 0.979% and 93.5%, respectively. CONCLUSION Early LADC presenting as SSNs is associated with a high incidence of irregular shape. I-LADC and I-PIL exhibited different clinical and imaging characteristics. A good understanding of these differences may be helpful for the accurate diagnosis of I-LADC.
Collapse
Affiliation(s)
- Pei-Ling Zou
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing 400016, China (P.-l.Z., T.-y.L., F.-j.L., Q.L.); Department of Radiology, Shapingba Hospital affiliated to Chongqing University, Chongqing, China (P.-l.Z.).
| | - Chao-Hao Ma
- Department of Ultrasound, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China (C.-h.M.).
| | - Xian Li
- Department of Pathology, Chongqing Medical University, Chongqing, China (X.L.).
| | - Tian-You Luo
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing 400016, China (P.-l.Z., T.-y.L., F.-j.L., Q.L.).
| | - Fa-Jin Lv
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing 400016, China (P.-l.Z., T.-y.L., F.-j.L., Q.L.).
| | - Qi Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing 400016, China (P.-l.Z., T.-y.L., F.-j.L., Q.L.).
| |
Collapse
|
5
|
Manser R, Malouf R, Marchal C, Pascoe D, Wright GM, Bonney A. Prognosis of surgically resected clinical stage 1A non-small cell lung cancers manifesting as a subsolid nodule on computed tomography including pure ground glass nodules. Cochrane Database Syst Rev 2025; 3:CD016091. [PMID: 40105326 PMCID: PMC11921762 DOI: 10.1002/14651858.cd016091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/20/2025]
Abstract
OBJECTIVES This is a protocol for a Cochrane Review (prognosis). The objectives are as follows: To quantify the risk of tumour relapse/recurrence after a surgical resection of stage 1A non-small cell lung cancer (NSCLC) as manifested on computed tomography (CT) imaging as a subsolid nodule.
Collapse
Affiliation(s)
- Renée Manser
- Department of Respiratory and Sleep Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia
- Department of Medicine (RMH), The University of Melbourne, Victoria, Australia
- Department of Internal Medicine, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Reem Malouf
- Nuffield Department of Population Health, Big Data Institute (BDI), University of Oxford, Oxford, UK
| | | | - Diane Pascoe
- Department of Medicine (RMH), The University of Melbourne, Victoria, Australia
- Department of Medical Imaging, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Gavin M Wright
- University of Melbourne Department of Surgery, St Vincent's Hospital Melbourne, Melbourne, Australia
| | - Asha Bonney
- Department of Respiratory and Sleep Medicine, The Royal Melbourne Hospital, Parkville, Victoria, Australia
- Department of Medicine (RMH), The University of Melbourne, Victoria, Australia
- Department of Respiratory and Sleep Medicine, Eastern Health, Melbourne, Australia
| |
Collapse
|
6
|
Adamson AS, Patel VR, Welch HG. Examining the relationship between incidence and mortality for commonly diagnosed cancers in the USA: an observational study using population-based SEER database. BMJ Open 2025; 15:e084955. [PMID: 39920045 PMCID: PMC11808910 DOI: 10.1136/bmjopen-2024-084955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 01/15/2025] [Indexed: 02/09/2025] Open
Abstract
OBJECTIVE Incidence and mortality are fundamental epidemiologic measures of cancer burden, yet few studies have examined individual cancers to determine how these measures correlate across place. We assessed the relationship between incidence and mortality for commonly diagnosed cancers in the USA. DESIGN Population-based observational study of US counties. SETTING AND PARTICIPANTS The Surveillance, Epidemiology and End Results (SEER) database was used to obtain incidence (2000-2016) and mortality (2002-2018) data for the 12 most commonly diagnosed non-haematologic cancers. OUTCOME MEASURES County-level correlation between cancer incidence and mortality. Cancers were grouped into terciles based on the population-weighted correlation coefficient (r). We also examined the 10 year risk of death, both from the diagnosed cancer and other causes. RESULTS County-level incidence and mortality were strongly correlated in some cancers, yet uncorrelated in others. Cancers in the high-correlation tercile (r range: 0.96 to 0.78) included lung, stomach, liver and pancreas. For patients with these cancers, the risk of death from the diagnosed cancer was >4-times the risk of death from other causes. The moderate-correlation tercile (r: 0.75 to 0.58) included cancers of the colon, bladder, kidney and uterus. There was little or no relationship between incidence and mortality for cancers in the low-correlation tercile (r: 0.33 to -0.10): melanoma, prostate, breast and thyroid. The risk of death from the diagnosed cancer for these patients was either lower or no different than their risk of death from other causes. CONCLUSIONS For some cancers in the USA, the fundamental epidemiologic measure of disease frequency-incidence-now has little relationship with cancer death (mortality). Low correlations are most likely explained by differences in diagnostic practice leading to variable amounts of cancer overdiagnosis between different US counties.
Collapse
Affiliation(s)
- Adewole S Adamson
- Department of Internal Medicine, The University of Texas at Austin Dell Medical School, Austin, Texas, USA
| | - Vishal R Patel
- Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - H Gilbert Welch
- Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts, USA
| |
Collapse
|
7
|
Welch HG, Gao W, Wilder FG, Kim SY, Silvestri GA. Lung cancer screening in people who have never smoked: lessons from East Asia. BMJ 2025; 388:e081674. [PMID: 39914848 PMCID: PMC11800067 DOI: 10.1136/bmj-2024-081674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/11/2025]
Affiliation(s)
- H Gilbert Welch
- Center for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Boston, USA
| | - Wayne Gao
- College of Public Health, Taipei Medical University, Taipei City, Taiwan
| | - Fatima G Wilder
- Division of Thoracic Surgery, Department of Surgery, VA Boston Health Care, Brigham and Women's Hospital, Boston, USA
| | - So Yeon Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Gerard A Silvestri
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Medical University of South Carolina, Charleston, South Carolina, USA
| |
Collapse
|
8
|
Liang X, Zhang C, Ye X. Overdiagnosis and overtreatment of ground-glass nodule-like lung cancer. Asia Pac J Clin Oncol 2025; 21:108-114. [PMID: 38178320 DOI: 10.1111/ajco.14042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/03/2023] [Accepted: 12/07/2023] [Indexed: 01/06/2024]
Abstract
Lung cancer has had one of the highest incidences and mortality in the world over the last few decades, which has aided in the promotion and popularization of screening for lung ground-glass nodules (GGNs). People have great psychological anxiety about GGN because of the chance that it will develop into lung cancer, which makes clinical treatment of GGN a generally excessive phenomenon. Overdiagnosis in screening has recently been mentioned in the literature. An important research emphasis of screening is how to reduce the incidence of overdiagnosis and overtreatment. This paper discusses from different aspects how to characterize the occurrence of overdiagnosis and overtreatment, how to reduce overdiagnosis and overtreatment, and future screening, follow-up, and treatment approaches.
Collapse
Affiliation(s)
- Xinyu Liang
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Lung Cancer Institute, Jinan, China
| | - Chao Zhang
- Department of Oncology, Qujing No. 1 Hospital and Affiliated Qujing Hospital of Kunming Medical University, Qujing, China
| | - Xin Ye
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| |
Collapse
|
9
|
Kim YW, Joo DH, Kim SY, Park YS, Jang S, Lee JH, Silvestri GA, Heuvelmans MA, Kim J, Hwang H, Lee CT. Gender Disparities and Lung Cancer Screening Outcomes Among Individuals Who Have Never Smoked. JAMA Netw Open 2025; 8:e2454057. [PMID: 39813033 PMCID: PMC11736501 DOI: 10.1001/jamanetworkopen.2024.54057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Accepted: 10/31/2024] [Indexed: 01/16/2025] Open
Abstract
Importance Lung cancer in individuals who have never smoked (INS) is a growing global concern, with a rapidly increasing incidence and proportion among all lung cancer cases. Particularly in East Asia, opportunistic lung cancer screening (LCS) programs targeting INS have gained popularity. However, the sex-specific outcomes and drawbacks of screening INS remain unexplored, with data predominantly focused on women. Objective To compare LCS outcomes between Asian women and men with no smoking history. Design, Setting, and Participants This multicenter cohort study was conducted at health checkup centers in South Korea from 2009 to 2021. Participants included individuals aged 50 to 80 years with no smoking history who underwent low-dose computed tomography (LDCT) screening. Data were retrospectively analyzed from November 2023 to June 2024. Exposures Opportunistic LDCT screening for lung cancer. Main Outcomes and Measures Participants were followed up until December 2022 for the outcome of death. Lung cancer diagnosis, diagnostic characteristics, clinical course, and lung cancer-specific deaths (LCSD) were compared between women and men. Results A total of 21 062 participants (16 133 [76.6%] women and 4929 [23.4%] men) with a mean (SD) age of 59.8 (7.2) years were included. From baseline screening, 176 participants (139 women [0.9%] and 37 men [0.8%]) were diagnosed with lung cancer (screen-detected); 131 of 139 women (94.3%) and 33 of 37 men (89.2%) were diagnosed with stage 0 to I disease, with 133 of 139 women (95.7%) and 36 of 37 men (97.3%) having adenocarcinoma. There were no significant sex-based differences in stage or histologic type distribution. Among the 21 062 screened individuals, LCSD was reported in 8 women and 3 men during a mean (SD) follow-up of 83.8 (41.7) months. Multivariable analyses found no significant association between sex and cumulative hazards of lung cancer diagnosis (adjusted hazard ratio [aHR], 0.90 [95% CI, 0.64-1.26] for men vs women) or LCSD (aHR, 1.06 [95% CI, 0.28-4.00] for men vs women). The estimated 5-year lung cancer-specific survival rate was 97.7% for women and 100% for men with screen-detected lung cancer, showing no significant sex differences. Conclusions and Relevance In this cohort study of Asian individuals with no smoking history who underwent LDCT screening, no significant sex-based differences were detected in lung cancer diagnosis, stage distribution, or LCSD. These findings suggest that men and women who have never smoked would experience similar risks of overdiagnosis with little to no benefit when exposed to indiscriminate screening.
Collapse
Affiliation(s)
- Yeon Wook Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine
| | - Dong-Hyun Joo
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - So Yeon Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Young Sik Park
- Department of Internal Medicine, Seoul National University College of Medicine
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sowon Jang
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Jong Hyuk Lee
- Department of Radiology and Institute of Radiation Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Gerard A. Silvestri
- Division of Pulmonary Medicine, Thoracic Oncology Research Group, Hollings Cancer Center, Medical University of South Carolina, Charleston, South Carolina
| | - Marjolein A. Heuvelmans
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
- Institute for Diagnostic Accuracy, Groningen, the Netherlands
- Department of Respiratory Medicine, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Jihang Kim
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Hyeontaek Hwang
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Choon-Taek Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Seoul National University College of Medicine, Seoul, Republic of Korea
| |
Collapse
|
10
|
Chen Y, Zeng Q, Li M, Jin J, Zhao J. Burdens of Tracheal, Bronchus, and Lung Cancer From 1990 to 2021 in China Compared to the Global Projection of 2036: Findings From the 2021 Global Burden of Disease Study. Thorac Cancer 2025; 16:e15524. [PMID: 39840528 PMCID: PMC11751713 DOI: 10.1111/1759-7714.15524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2024] [Revised: 12/02/2024] [Accepted: 12/15/2024] [Indexed: 01/23/2025] Open
Abstract
BACKGROUND Tracheal, bronchial, and lung cancers (TBL cancers) pose a significant global health challenge, with rising incidence and mortality rates, particularly in China. Studies from the Global Burden of Disease (GBD), 2021, can guide screening and prevention strategies for TBL cancer. This study aims to provide a comprehensive analysis of the burden of TBL cancers in China compared to global data. METHODS We conducted an analysis of incidence, prevalence, mortality, and disability-adjusted life years (DALYs) from 1990 to 2021. We also performed Joinpoint regression analysis and Bayesian age-period-cohort (BAPC) modeling to project future trends. RESULTS From 1990 to 2021, there was a substantial increase in TBL cancer indicators for all sexes in China, with the most significant rise observed in females. The female population showed alarming increases in age-standardized incidence rate (ASIR) and age-standardized prevalence rate (ASPR). While global efforts have managed to stabilize these rates, China's figures remain high, suggesting the impact of persistent risk factors such as smoking and air pollution, coupled with an aging population. Furthermore, we utilized the projection model in China to estimate that these indicators of TBL cancers in females will likely follow continuous and rapid upward trends, while the burden of TBL cancers among males is expected to have a steady trend. CONCLUSION Although global efforts have been effective in reducing the burden of TBL cancers over the past three decades, there still remains strong regional and gender heterogeneity. TBL cancers need more screening strategies and medical attention in China and in the female population.
Collapse
Affiliation(s)
- Yuxing Chen
- Department of Thoracic SurgeryNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Qingpeng Zeng
- Department of Thoracic SurgeryNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Muyu Li
- Department of Thoracic SurgeryNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jiahui Jin
- Department of Thoracic SurgeryNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Jun Zhao
- Department of Thoracic SurgeryNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| |
Collapse
|
11
|
Tang Y, Zhao S, Zhou L, Huang Y, Wang J, Liang M, Wang F, Zhu H, Qi L, Zhang L, Liu L, Hou D, Xu Z, Zhang K, Tang W, Wu N. A 16-year evaluation of opportunistic lung cancer screening with low-dose CT in China: comparative findings between non-smokers and smokers. BMC Cancer 2024; 24:1322. [PMID: 39465408 PMCID: PMC11514951 DOI: 10.1186/s12885-024-13056-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 10/10/2024] [Indexed: 10/29/2024] Open
Abstract
BACKGROUND Although low-dose computed tomography (LDCT) screening effectively reduces LC mortality in high-risk individuals with a history of smoking in China, the feasibility and efficacy of lung cancer screening (LCS) in individuals who never smoked versus individuals who smoked remains unclear. METHODS We conducted a retrospective analysis of prospective cohort studies at the National Cancer Center (NCC) in China from January 2006 to December 2022. A comprehensive LCS initiative was undertaken, involving 30,468 participants (54.5% male). Participants underwent LCS using LDCT. Potential malignancies were managed through joint consensus between patients and their physicians. Epidemiology, screening eligibility criteria, and LC detection rates and survival outcomes were compared between individuals who smoked and individuals who never smoked. RESULTS Among 30,468 participants, 339 LCs were pathologically confirmed in 289 patients. The LC detection rate was 0.9% (289/30,468) overall, 0.8% in individuals who smoked (71/9,042), and 1.0% in individuals who never smoked (218/21,426). In individuals who smoked, LC detection rates were 0.5% (21/4516) and 1.1% (50/4526) in the < 20 and ≥ 20 pack-year subgroups, respectively (P = 0.001). Early-stage LC (stage 0 or I) was detected in 73.8% of the individuals who smoked and in 78.8% of individuals who never smoked, while advanced LC (stage III-IV) was found 8.8% of individuals who smoked and 4.2% of individuals who never smoked, respectively. Significant differences in histologic types were found between individuals who smoked and individuals who never smoked (P = 0.01), although adenocarcinoma was the most prevalent in both groups, at 83.0% and 78.8%, respectively. The median nodule size was 9.9 mm (IQR, 8.0-13.8) in individuals who smoked and 9.2 mm (IQR, 6.8-13.6) in individuals who never smoked (P = 0.228). Individuals who never smoked tended to favour surgical treatment alone (88.0%) more than individuals who smoked (81.3%). The 10-year survival rate was higher in individuals who never smoked (92.6%) than in individuals who smoked (88.8%). Only 15.6% (45/289) of patients with LC met the United States Preventive Services Task Force (USPSTF) criteria for LDCT eligibility, while 29.0% (84/289) met the China guideline for the screening and early detection of lung cancer (CGSL) criteria. Median follow-up for those followed was 25.4 (IQR, 13.7-43.3) months. CONCLUSIONS LDCT screening improves early LC detection and treatment outcomes for both individuals who smoked and individuals who never smoked. Significant differences exist in epidemiology, histologic type, and survival between these groups. The USPSTF and CGSL criteria miss a significant number of LC cases, particularly among individuals who never smoked. Integrating individuals who never smoked into LCS programs is essential, yet it comes with its own challenges, such as managing radiation risks, allocating resources effectively, and considering financial aspects. Consequently, there is an urgent need for LCS programs in China to better identify the "high-risk" non-smoker population susceptible to LC and to ensure that potential risks associated with screening are reduced.
Collapse
Affiliation(s)
- Yanyan Tang
- Department of Diagnostic Radiology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Shijun Zhao
- Department of Diagnostic Radiology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Lina Zhou
- Department of Diagnostic Radiology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yao Huang
- Department of Diagnostic Radiology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jianwei Wang
- Department of Diagnostic Radiology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Min Liang
- Department of Diagnostic Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
| | - Fei Wang
- Office of Cancer Screening, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Haohua Zhu
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Linlin Qi
- Department of Diagnostic Radiology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Li Zhang
- Department of Diagnostic Radiology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Li Liu
- Department of Diagnostic Radiology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Donghui Hou
- Department of Diagnostic Radiology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Zhijian Xu
- Department of Cancer Prevention, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Kai Zhang
- Department of Cancer Prevention, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Wei Tang
- Department of Diagnostic Radiology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Ning Wu
- Department of Diagnostic Radiology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
- Department of Nuclear Medicine (PET-CT Center), National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| |
Collapse
|
12
|
Zhu C. What's behind thoracic surgery explosion in young patients under the age of 40 in Wuhan after COVID-19 outbreak? Lung Cancer 2024; 196:107937. [PMID: 39236575 DOI: 10.1016/j.lungcan.2024.107937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 08/24/2024] [Accepted: 08/27/2024] [Indexed: 09/07/2024]
Abstract
INTRODUCTION The COVID-19 pandemic was associated with a dramatic increase of chest CT scanning in Wuhan. This was partly a COVID effect: some private and public employers required employees to have CT examinations to confirm they were healthy before going back to work. But it also likely reflects the growing enthusiasm for low-dose computed tomography (LDCT) screening. This investigation examines the resulting impact in the under 40 population. METHODS The relevant de-identified information of the patients under age 40 who had also received thoracic surgery from 2018 to 2022 was analyzed using the medical record information system of Tongji Hospital in Wuhan. RESULTS The volume of thoracic surgeries increased continuously in young patients under the age of 40, from 219 in 2018 to 732 in 2022. The number of surgeries for pulmonary nodules or masses in this group increased over 6-fold, from 91 to 576. The number of surgeries leading to a diagnosis of adenocarcinoma of the lung increased more than 15-fold, from 26 to 415. The median adenocarcinoma size fell in half (from 15 mm to 7 mm) and the most common stage changed from Stage I invasive (46 % of adenocarcinomas in 2018) to microinvasive (60 % of adenocarcinomas in 2022). 70 % of lung adenocarcinomas were found in females. CONCLUSIONS There had been an explosion of thoracic surgery for adenocarcinomas among the under-40 population in Wuhan. The decrease in tumor size and the increase in microinvasive and in situ lesions in this young age group suggest considerable overdiagnosis. We should be vigilant about the risk of overdiagnosis and overtreatment especially in young women.
Collapse
Affiliation(s)
- Chang Zhu
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology. Wuhan 430030, Hubei, PR China.
| |
Collapse
|
13
|
Lai GGY, Tan DSW. Lung cancer screening in never smokers. Curr Opin Oncol 2024:00001622-990000000-00212. [PMID: 39258345 DOI: 10.1097/cco.0000000000001099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2024]
Abstract
PURPOSE OF REVIEW Low-dose computed tomography (LDCT) lung cancer screening has been established in smokers, but its role in never smokers remains unclear. The differences in lung cancer biology between smokers and nonsmokers highlight the importance of a discriminated approach. This overview focuses on the emerging data and implementation challenges for LDCT screening in nonsmokers. RECENT FINDINGS The first LDCT screening study in nonsmokers enriched with risk factors demonstrated a lung cancer detection rate double that of the phase 3 trials in smokers. The relative risk of lung cancer detected by LDCT has also been found to be similar amongst female never smokers and male ever smokers in Asia. Majority of lung cancers detected through LDCT screening are stage 0/1, leading to concerns of overdiagnosis. Risk prediction models to enhance individual selection and nodule management could be useful to enhance the utility of LDCT screening in never smokers. SUMMARY With appropriate risk stratification, LDCT screening in never smokers may attain similar efficacy as compared to smokers. A global effort is needed to generate evidence surrounding optimal screening strategies, as well as health and economic benefits to determine the suitability of widespread implementation.
Collapse
Affiliation(s)
- Gillianne G Y Lai
- Division of Medical Oncology, National Cancer Centre Singapore
- Duke-NUS Medical School
| | - Daniel S W Tan
- Division of Medical Oncology, National Cancer Centre Singapore
- Duke-NUS Medical School
- Division of Clinical Trials and Epidemiological Sciences, National Cancer Centre Singapore, Singapore
| |
Collapse
|
14
|
Torasawa M, Shukuya T, Uemura K, Hayashi T, Ueno T, Kohsaka S, Masui Y, Shirai Y, Okura M, Asao T, Mitsuishi Y, Shimada N, Takahashi F, Takamochi K, Suzuki K, Takahashi K, Seyama K. Lymphangioleiomyomatosis as a potent lung cancer risk factor: Insights from a Japanese large cohort study. Respirology 2024; 29:815-824. [PMID: 38654512 DOI: 10.1111/resp.14724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/08/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND AND OBJECTIVE Lymphangioleiomyomatosis (LAM) is a rare neoplastic disease associated with the functional tumour suppressor genes TSC1 and TSC2 and causes structural destruction in the lungs, which could potentially increase the risk of lung cancer. However, this relationship remains unclear because of the rarity of the disease. METHODS We investigated the relative risk of developing lung cancer among patients diagnosed with LAM between 2001 and 2022 at a single high-volume centre in Japan, using data from the Japanese Cancer Registry as the reference population. Next-generation sequencing (NGS) was performed in cases where tumour samples were available. RESULTS Among 642 patients diagnosed with LAM (sporadic LAM, n = 557; tuberous sclerosis complex-LAM, n = 80; unclassified, n = 5), 13 (2.2%) were diagnosed with lung cancer during a median follow-up period of 5.13 years. All patients were female, 61.5% were never smokers, and the median age at lung cancer diagnosis was 53 years. Eight patients developed lung cancer after LAM diagnosis. The estimated incidence of lung cancer was 301.4 cases per 100,000 person-years, and the standardized incidence ratio was 13.6 (95% confidence interval, 6.2-21.0; p = 0.0008). Actionable genetic alterations were identified in 38.5% of the patients (EGFR: 3, ALK: 1 and ERBB2: 1). No findings suggested loss of TSC gene function in the two patients analysed by NGS. CONCLUSION Our study revealed that patients diagnosed with LAM had a significantly increased risk of lung cancer. Further research is warranted to clarify the carcinogenesis of lung cancer in patients with LAM.
Collapse
Affiliation(s)
- Masahiro Torasawa
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Takehito Shukuya
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kohei Uemura
- Department of Biostatistics & Bioinformatics, Interfaculty Initiative in Information Studies, The University of Tokyo, Tokyo, Japan
| | - Takuo Hayashi
- Department of Human Pathology, School of Medicine, Juntendo University, Tokyo, Japan
| | - Toshihide Ueno
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Shinji Kohsaka
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Yoshihiro Masui
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yukina Shirai
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Makiko Okura
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tetsuhiko Asao
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yoichiro Mitsuishi
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Naoko Shimada
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Fumiyuki Takahashi
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kazuya Takamochi
- Department of General Thoracic Surgery, Juntendo University Hospital, Tokyo, Japan
| | - Kenji Suzuki
- Department of General Thoracic Surgery, Juntendo University Hospital, Tokyo, Japan
| | - Kazuhisa Takahashi
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kuniaki Seyama
- Department of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan
| |
Collapse
|
15
|
Silvestri GA, Young RP, Tanner NT, Mazzone P. Screening Low-Risk Individuals for Lung Cancer: The Need May Be Present, but the Evidence of Benefit Is Not. J Thorac Oncol 2024; 19:1155-1163. [PMID: 39112003 DOI: 10.1016/j.jtho.2024.05.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/29/2024] [Accepted: 05/02/2024] [Indexed: 04/01/2025]
Abstract
Worldwide, lung cancer is the most common killer among cancers, advanced disease has worse outcomes, earlier stage detection leads to better outcomes, and high-quality screening has a favorable net benefit. With the mortality reduction recognized from annual low-radiation dose computed tomography by screening those at high risk, there has been consideration that this benefit could translate to those who have never smoked. There have been several large-scale, single-arm, observational trials in Asia in persons with light to no smoking histories, with or without a family history of lung cancer, which have revealed high or higher lung cancer detection rates than previously reported in high-risk persons who currently or formerly smoked. The Early Detection Program for Lung Cancer in Taiwan, of nearly 50,000 persons, revealed that the cancer detection rate for those screened with low-radiation dose computed tomography was more than twofold higher in light- or never-smokers with a family history of lung cancer compared with high-risk persons with more than 30 or more pack-years exposure and meeting U.S. Preventative Services Task Force criteria for screening. In addition, more than 90% of the cancers detected in those with a family history were in early stage. On the basis of those findings, the researchers concluded that screening first-degree relatives of those with a family history of lung cancer, irrespective of smoking history, would lead to a decrease in lung cancer mortality. We believe that the findings in this cohort and others like it represent substantial overdiagnosis and that the harms associated with screening a population that has a low likelihood of developing lethal cancers have not been thoroughly considered. Here, we provide our perspective and consider the potential benefits and harms of screening populations outside those currently eligible using the U.S. Preventative Services Task Force criteria.
Collapse
Affiliation(s)
- Gerard A Silvestri
- Thoracic Oncology Research Group, Division of Pulmonary and Critical Care Medicine, Medical University of South Carolina, Charleston, South Carolina.
| | - Robert P Young
- Faculty of Medical Health Sciences, University of Auckland, Auckland, New Zealand
| | - Nichole T Tanner
- Thoracic Oncology Research Group, Division of Pulmonary and Critical Care Medicine, Medical University of South Carolina, Charleston, South Carolina; Health Equity and Rural Outreach Innovation Center, Ralph H. Johnson Veteran Affairs Hospital, Charleston, South Carolina
| | - Peter Mazzone
- Respiratory Institute, Cleveland Clinic, Cleveland, Ohio
| |
Collapse
|
16
|
Hsin-Hung C, En-Kuei T, Yun-Ju W, Fu-Zong W. Impact of annual trend volume of low-dose computed tomography for lung cancer screening on overdiagnosis, overmanagement, and gender disparities. Cancer Imaging 2024; 24:73. [PMID: 38867342 PMCID: PMC11170916 DOI: 10.1186/s40644-024-00716-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 06/05/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND With the increasing prevalence of nonsmoking-related lung cancer in Asia, Asian countries have increasingly adopted low-dose computed tomography (LDCT) for lung cancer screening, particularly in private screening programs. This study examined how annual LDCT volume affects lung cancer stage distribution, overdiagnosis, and gender disparities using a hospital-based lung cancer database. METHODS This study analyzed the annual utilized LDCT volume, clinical characteristics of lung cancer, stage shift distribution, and potential overdiagnosis. At the individual level, this study also investigated the relationship between stage 0 lung cancer (potential strict definition regarding overdiagnosis) and the clinical characteristics of lung cancer. RESULTS This study reviewed the annual trend of 4971 confirmed lung cancer cases from 2008 to 2021 and conducted a link analysis with an LDCT imaging examination database over these years. As the volume of lung cancer screenings has increased over the years, the number and proportion of stage 0 lung cancers have increased proportionally. Our study revealed that the incidence of stage 0 lung cancer increased with increasing LDCT scan volume, particularly during the peak growth period from 2017 to 2020. Conversely, stage 4 lung cancer cases remained consistent across different time intervals. Furthermore, the increase in the lung cancer screening volume had a more pronounced effect on the increase in stage 0 lung cancer cases among females than it had among males. The estimated potential for overdiagnosis brought about by the screening process, compared to non-participating individuals, ranged from an odds ratio of 7.617 to one of 17.114. Both strict and lenient definitions of overdiagnosis (evaluating cases of stage 0 lung cancer and stages 0 to 1 lung cancer) were employed. CONCLUSIONS These results provide population-level evidence of potential lung cancer overdiagnosis in the Taiwanese population due to the growing use of LDCT screening, particularly concerning the strict definition of stage 0 lung cancer. The impact was greater in the female population than in the male population, especially among females younger than 40 years. To improve lung cancer screening in Asian populations, creating risk-based prediction models for smokers and nonsmokers, along with gender-specific strategies, is vital for ensuring survival benefits and minimizing overdiagnosis.
Collapse
Affiliation(s)
- Chen Hsin-Hung
- Department of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung, 813414, Taiwan
| | - Tang En-Kuei
- Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, 813414, Taiwan
| | - Wu Yun-Ju
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Wu Fu-Zong
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
- Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
- Faculty of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| |
Collapse
|
17
|
Fang K, Zheng X, Lin X, Dai Z. A comprehensive approach for osteoporosis detection through chest CT analysis and bone turnover markers: harnessing radiomics and deep learning techniques. Front Endocrinol (Lausanne) 2024; 15:1296047. [PMID: 38894742 PMCID: PMC11183288 DOI: 10.3389/fendo.2024.1296047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
Purpose The main objective of this study is to assess the possibility of using radiomics, deep learning, and transfer learning methods for the analysis of chest CT scans. An additional aim is to combine these techniques with bone turnover markers to identify and screen for osteoporosis in patients. Method A total of 488 patients who had undergone chest CT and bone turnover marker testing, and had known bone mineral density, were included in this study. ITK-SNAP software was used to delineate regions of interest, while radiomics features were extracted using Python. Multiple 2D and 3D deep learning models were trained to identify these regions of interest. The effectiveness of these techniques in screening for osteoporosis in patients was compared. Result Clinical models based on gender, age, and β-cross achieved an accuracy of 0.698 and an AUC of 0.665. Radiomics models, which utilized 14 selected radiomics features, achieved a maximum accuracy of 0.750 and an AUC of 0.739. The test group yielded promising results: the 2D Deep Learning model achieved an accuracy of 0.812 and an AUC of 0.855, while the 3D Deep Learning model performed even better with an accuracy of 0.854 and an AUC of 0.906. Similarly, the 2D Transfer Learning model achieved an accuracy of 0.854 and an AUC of 0.880, whereas the 3D Transfer Learning model exhibited an accuracy of 0.740 and an AUC of 0.737. Overall, the application of 3D deep learning and 2D transfer learning techniques on chest CT scans showed excellent screening performance in the context of osteoporosis. Conclusion Bone turnover markers may not be necessary for osteoporosis screening, as 3D deep learning and 2D transfer learning techniques utilizing chest CT scans proved to be equally effective alternatives.
Collapse
Affiliation(s)
- Kaibin Fang
- Department of Orthopaedic Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Xiaoling Zheng
- Aviation College, Liming Vocational University, Quanzhou, China
| | - Xiaocong Lin
- Department of Orthopaedic Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Zhangsheng Dai
- Department of Orthopaedic Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| |
Collapse
|
18
|
Wu YJ, Tang EK, Wu FZ. Evaluating Efficiency and Adherence in Asian Lung Cancer Screening: Comparing Self-paid and Clinical Study Approaches in Taiwan. Acad Radiol 2024; 31:2109-2117. [PMID: 38480076 DOI: 10.1016/j.acra.2024.01.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/17/2024] [Accepted: 01/30/2024] [Indexed: 05/12/2024]
Abstract
RATIONALE AND OBJECTIVES This study aimed to assess how different screening methods, specifically self-paid screening versus participation in clinical studies, affect screening efficiency and adherence in a real-world Asian lung cancer screening population. MATERIALS AND METHODS This study collected 4166 participants from our hospital imaging database who underwent baseline low-dose computed tomography (LDCT) between January 2014 and August 2021. Adherence status was determined by counting CT scans, with one check indicating non-adherence and two or more checks indicating adherence. The primary objective was to investigate adherence to LDCT follow-up schedules among individuals with baseline pure ground-glass nodules (GGNs) based on different screening settings and to evaluate adherence status and CT follow-up clinical profiles. RESULTS Of the 4166 participants in the study, 3619 in the self-paid group and 547 in the clinical study group were men, with an average follow-up period of 4.5 years. Significant differences were observed in the proportions of Lung-RADS 4 lesions, subsolid nodules, and pure GGN lesions between the self-paid and clinical trial groups. A significant difference was found in adherence rates between the self-paid screening group (60.5%) and the clinical study group (84.8%) (p < 0.001). Adherence status rates significantly increased with larger GGN sizes across categories (p < 0.001). Multivariate logistic regression revealed that age (odds ratio [OR], 1.025; p = 0.012), smoking habits (OR, 1.744; p = 0.036), and clinical study screening type (OR, 3.097; p < 0.001) significantly influenced the adherence status. CONCLUSION The disparities in Asian lung cancer screening emphasize the need for increased efficacy, public awareness, and culturally sensitive approaches to mitigate overdiagnosis and enhance adherence among self-paying groups.
Collapse
Affiliation(s)
- Yun-Ju Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - En-Kuei Tang
- Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung 813414, Taiwan
| | - Fu-Zong Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; Institute of Education, National Sun Yat-sen University, 70, Lien-hai Road, Kaohsiung 80424, Taiwan; Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Faculty of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| |
Collapse
|
19
|
Yang SC, Lai WW, Wu TI, Wang JD. Possible overdiagnosis of early-stage lung adenocarcinoma among never-smokers in Taiwan. ERJ Open Res 2024; 10:00824-2023. [PMID: 38444663 PMCID: PMC10910330 DOI: 10.1183/23120541.00824-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Accepted: 01/08/2024] [Indexed: 03/07/2024] Open
Abstract
10-year survival for never-smokers with >1 cm but ≤3 cm AIS/BAC/MIA was not inferior to that of the matched referents, pointing to possible overdiagnosis. Clinicians might consider adhering to Lung-RADS and watchful waiting for these non-solid nodules. https://bit.ly/41U6kxs.
Collapse
Affiliation(s)
- Szu-Chun Yang
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Wu-Wei Lai
- Department of Surgery, An Nan Hospital, China Medical University, Tainan, Taiwan
| | - Tzu-I Wu
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Jung-Der Wang
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Occupational and Environmental Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| |
Collapse
|
20
|
Yang JJ, Wen W, Zahed H, Zheng W, Lan Q, Abe SK, Rahman MS, Islam MR, Saito E, Gupta PC, Tamakoshi A, Koh WP, Gao YT, Sakata R, Tsuji I, Malekzadeh R, Sugawara Y, Kim J, Ito H, Nagata C, You SL, Park SK, Yuan JM, Shin MH, Kweon SS, Yi SW, Pednekar MS, Kimura T, Cai H, Lu Y, Etemadi A, Kanemura S, Wada K, Chen CJ, Shin A, Wang R, Ahn YO, Shin MH, Ohrr H, Sheikh M, Blechter B, Ahsan H, Boffetta P, Chia KS, Matsuo K, Qiao YL, Rothman N, Inoue M, Kang D, Robbins HA, Shu XO. Lung Cancer Risk Prediction Models for Asian Ever-Smokers. J Thorac Oncol 2024; 19:451-464. [PMID: 37944700 PMCID: PMC11126207 DOI: 10.1016/j.jtho.2023.11.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/19/2023] [Accepted: 11/04/2023] [Indexed: 11/12/2023]
Abstract
INTRODUCTION Although lung cancer prediction models are widely used to support risk-based screening, their performance outside Western populations remains uncertain. This study aims to evaluate the performance of 11 existing risk prediction models in multiple Asian populations and to refit prediction models for Asians. METHODS In a pooled analysis of 186,458 Asian ever-smokers from 19 prospective cohorts, we assessed calibration (expected-to-observed ratio) and discrimination (area under the receiver operating characteristic curve [AUC]) for each model. In addition, we developed the "Shanghai models" to better refine risk models for Asians on the basis of two well-characterized population-based prospective cohorts and externally validated them in other Asian cohorts. RESULTS Among the 11 models, the Lung Cancer Death Risk Assessment Tool yielded the highest AUC (AUC [95% confidence interval (CI)] = 0.71 [0.67-0.74] for lung cancer death and 0.69 [0.67-0.72] for lung cancer incidence) and the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial Model had good calibration overall (expected-to-observed ratio [95% CI] = 1.06 [0.90-1.25]). Nevertheless, these models substantially underestimated lung cancer risk among Asians who reported less than 10 smoking pack-years or stopped smoking more than or equal to 20 years ago. The Shanghai models were found to have marginal improvement overall in discrimination (AUC [95% CI] = 0.72 [0.69-0.74] for lung cancer death and 0.70 [0.67-0.72] for lung cancer incidence) but consistently outperformed the selected Western models among low-intensity smokers and long-term quitters. CONCLUSIONS The Shanghai models had comparable performance overall to the best existing models, but they improved much in predicting the lung cancer risk of low-intensity smokers and long-term quitters in Asia.
Collapse
Affiliation(s)
- Jae Jeong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Surgery, University of Florida College of Medicine, Gainesville, Florida; University of Florida Health Cancer Center, Gainesville, Florida
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Hana Zahed
- International Agency for Research on Cancer, Lyon, France
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Sarah K Abe
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Md Shafiur Rahman
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan; Research Center for Child Mental Development, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Md Rashedul Islam
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan; Hitotsubashi Institute for Advanced Study, Hitotsubashi University, Tokyo, Japan
| | - Eiko Saito
- Institute for Global Health Policy Research, National Center for Global Health and Medicine, Tokyo, Japan
| | - Prakash C Gupta
- Healis - Sekhsaria Institute for Public Health Mahaleb, Navi Mumbai, India
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A∗STAR), Singapore, Singapore
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China
| | - Ritsu Sakata
- Radiation Effects Research Foundation, Hiroshima, Japan
| | - Ichiro Tsuji
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Yumi Sugawara
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Jeongseon Kim
- Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Republic of Korea
| | - Hidemi Ito
- Division of Cancer Information and Control, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan; Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Chisato Nagata
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - San-Lin You
- School of Medicine & Big Data Research Center, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Myung-Hee Shin
- Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Sang-Wook Yi
- Department of Preventive Medicine and Public Health, Catholic Kwandong University College of Medicine, Gangneung, Republic of Korea
| | - Mangesh S Pednekar
- Healis - Sekhsaria Institute for Public Health Mahaleb, Navi Mumbai, India
| | - Takashi Kimura
- Department of Public Health, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Yukai Lu
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Arash Etemadi
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Seiki Kanemura
- Tohoku University Graduate School of Medicine, Miyagi Prefecture, Japan
| | - Keiko Wada
- Department of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei City, Taiwan
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Heechoul Ohrr
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Mahdi Sheikh
- International Agency for Research on Cancer, Lyon, France
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Habibul Ahsan
- Department of Public Health Sciences, University of Chicago, Illinois
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York; Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Kee Seng Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Keitaro Matsuo
- Division Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan; Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - You-Lin Qiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Manami Inoue
- Division of Prevention, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | | | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
| |
Collapse
|
21
|
Callister MEJ, de Koning HJ. Lung cancer screening in never-smokers: a balancing act. THE LANCET. RESPIRATORY MEDICINE 2024; 12:93-94. [PMID: 38042166 DOI: 10.1016/s2213-2600(23)00378-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 10/04/2023] [Accepted: 10/05/2023] [Indexed: 12/04/2023]
Affiliation(s)
- Matthew E J Callister
- Department of Respiratory Medicine, Leeds Teaching Hospitals NHS Trust, Leeds LS9 7TF, UK.
| | - Harry J de Koning
- Department of Public Health, Erasmus University Medical Centre, Rotterdam, Netherlands
| |
Collapse
|
22
|
Chang GC, Chiu CH, Yu CJ, Chang YC, Chang YH, Hsu KH, Wu YC, Chen CY, Hsu HH, Wu MT, Yang CT, Chong IW, Lin YC, Hsia TC, Lin MC, Su WC, Lin CB, Lee KY, Wei YF, Lan GY, Chan WP, Wang KL, Wu MH, Tsai HH, Chian CF, Lai RS, Shih JY, Wang CL, Hsu JS, Chen KC, Chen CK, Hsia JY, Peng CK, Tang EK, Hsu CL, Chou TY, Shen WC, Tsai YH, Tsai CM, Chen YM, Lee YC, Chen HY, Yu SL, Chen CJ, Wan YL, Hsiung CA, Yang PC. Low-dose CT screening among never-smokers with or without a family history of lung cancer in Taiwan: a prospective cohort study. THE LANCET. RESPIRATORY MEDICINE 2024; 12:141-152. [PMID: 38042167 DOI: 10.1016/s2213-2600(23)00338-7] [Citation(s) in RCA: 49] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/30/2023] [Accepted: 09/08/2023] [Indexed: 12/04/2023]
Abstract
BACKGROUND In Taiwan, lung cancers occur predominantly in never-smokers, of whom nearly 60% have stage IV disease at diagnosis. We aimed to assess the efficacy of low-dose CT (LDCT) screening among never-smokers, who had other risk factors for lung cancer. METHODS The Taiwan Lung Cancer Screening in Never-Smoker Trial (TALENT) was a nationwide, multicentre, prospective cohort study done at 17 tertiary medical centres in Taiwan. Eligible individuals had negative chest radiography, were aged 55-75 years, had never smoked or had smoked fewer than 10 pack-years and stopped smoking for more than 15 years (self-report), and had one of the following risk factors: a family history of lung cancer; passive smoke exposure; a history of pulmonary tuberculosis or chronic obstructive pulmonary disorders; a cooking index of 110 or higher; or cooking without using ventilation. Eligible participants underwent LDCT at baseline, then annually for 2 years, and then every 2 years up to 6 years thereafter, with follow-up assessments at each LDCT scan (ie, total follow-up of 8 years). A positive scan was defined as a solid or part-solid nodule larger than 6 mm in mean diameter or a pure ground-glass nodule larger than 5 mm in mean diameter. Lung cancer was diagnosed through invasive procedures, such as image-guided aspiration or biopsy or surgery. Here, we report the results of 1-year follow-up after LDCT screening at baseline. The primary outcome was lung cancer detection rate. The p value for detection rates was estimated by the χ2 test. Univariate and multivariable logistic regression analyses were used to assess the association between lung cancer incidence and each risk factor. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of LDCT screening were also assessed. This study is registered with ClinicalTrials.gov, NCT02611570, and is ongoing. FINDINGS Between Dec 1, 2015, and July 31, 2019, 12 011 participants (8868 females) were enrolled, of whom 6009 had a family history of lung cancer. Among 12 011 LDCT scans done at baseline, 2094 (17·4%) were positive. Lung cancer was diagnosed in 318 (2·6%) of 12 011 participants (257 [2·1%] participants had invasive lung cancer and 61 [0·5%] had adenocarcinomas in situ). 317 of 318 participants had adenocarcinoma and 246 (77·4%) of 318 had stage I disease. The prevalence of invasive lung cancer was higher among participants with a family history of lung cancer (161 [2·7%] of 6009 participants) than in those without (96 [1·6%] of 6002 participants). In participants with a family history of lung cancer, the detection rate of invasive lung cancer increased significantly with age, whereas the detection rate of adenocarcinoma in situ remained stable. In multivariable analysis, female sex, a family history of lung cancer, and age older than 60 years were associated with an increased risk of lung cancer and invasive lung cancer; passive smoke exposure, cumulative exposure to cooking, cooking without ventilation, and a previous history of chronic lung diseases were not associated with lung cancer, even after stratification by family history of lung cancer. In participants with a family history of lung cancer, the higher the number of first-degree relatives affected, the higher the risk of lung cancer; participants whose mother or sibling had lung cancer were also at an increased risk. A positive LDCT scan had 92·1% sensitivity, 84·6% specificity, a PPV of 14·0%, and a NPV of 99·7% for lung cancer diagnosis. INTERPRETATION TALENT had a high invasive lung cancer detection rate at 1 year after baseline LDCT scan. Overdiagnosis could have occurred, especially in participants diagnosed with adenocarcinoma in situ. In individuals who do not smoke, our findings suggest that a family history of lung cancer among first-degree relatives significantly increases the risk of lung cancer as well as the rate of invasive lung cancer with increasing age. Further research on risk factors for lung cancer in this population is needed, particularly for those without a family history of lung cancer. FUNDING Ministry of Health and Welfare of Taiwan.
Collapse
Affiliation(s)
- Gee-Chen Chang
- Department of Internal Medicine, Division of Pulmonary Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan; School of Medicine, Chung Shan Medical University, Taichung, Taiwan; Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan; Institute of Biomedical Sciences, National Chung Hsing University, Taichung, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Internal Medicine, Division of Chest Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chao-Hua Chiu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Taipei Cancer Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chong-Jen Yu
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; National Taiwan University Hospital, Hsinchu, Taiwan
| | - Yeun-Chung Chang
- Department of Radiology, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
| | - Ya-Hsuan Chang
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan; Institute of Molecular and Genomic Medicine, National Health Research Institutes, Miaoli, Taiwan
| | - Kuo-Hsuan Hsu
- Division of Critical Care and Respiratory Therapy, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yu-Chung Wu
- Department of Surgery, Division of Thoracic Surgery, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan; Department of Surgery, Division of Thoracic Surgery, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chih-Yi Chen
- Department of Surgery, Division of Thoracic Surgery, Chung Shan Medical University Hospital, Taichung, Taiwan; Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Hsian-He Hsu
- Department of Radiology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Ming-Ting Wu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Cheng-Ta Yang
- Department of Thoracic Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Inn-Wen Chong
- Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Taipei, Taiwan; Division of Pulmonary and Critical Care Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; College of Medicine, Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yu-Ching Lin
- School of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Respiratory and Critical Care Medicine, Chang Gung Memorial Hospital, Chiayi, Taiwan; Department of Respiratory Care, Chang Gung University of Science and Technology, Taoyuan, Taiwan
| | - Te-Chun Hsia
- Department of Respiratory Therapy, China Medical University, Taichung, Taiwan; Department of Internal Medicine, China Medical University Hospital, Taichung, Taiwan
| | - Meng-Chih Lin
- Division of Pulmonary and Critical Care Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University, Kaohsiung, Taiwan; Chang Gung Respirology Center of Excellence, Kaohsiung, Taiwan
| | - Wu-Chou Su
- Department of Oncology, National Cheng Kung University Hospital, Tainan, Taiwan; College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chih-Bin Lin
- Department of Internal Medicine, Division of Chest Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan; School of Medicine, Tzu Chi University, Hualien, Taiwan
| | - Kang-Yun Lee
- Department of Pulmonary Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Internal Medicine, Division of Thoracic Medicine, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan
| | - Yu-Feng Wei
- Department of Internal Medicine, E-Da Cancer Hospital, Kaohsiung, Taiwan; School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung, Taiwan
| | - Gong-Yau Lan
- Department of Medical Imaging, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan
| | - Wing P Chan
- Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan
| | - Kao-Lun Wang
- Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Mei-Han Wu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Medical Imaging, Cheng Hsin General Hospital, Taipei, Taiwan
| | - Hao-Hung Tsai
- Department of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan; School of Medicine, Chung Shan Medical University, Taichung, Taiwan; Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Chih-Feng Chian
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Ruay-Sheng Lai
- Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Jin-Yuan Shih
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chi-Liang Wang
- Department of Thoracic Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Respiratory Therapy, Chang Gung University, Taoyuan, Taiwan
| | - Jui-Sheng Hsu
- Department of Medical Imaging, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Department of Radiology, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Kun-Chieh Chen
- Department of Internal Medicine, Division of Pulmonary Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan; School of Medicine, Chung Shan Medical University, Taichung, Taiwan; Department of Internal Medicine, Division of Chest Medicine, Taichung Veterans General Hospital, Taichung, Taiwan; Department of Applied Chemistry, National Chi Nan University, Nantou, Taiwan
| | - Chun-Ku Chen
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan; Division of Cardiopulmonary Radiology, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Jiun-Yi Hsia
- Department of Surgery, Division of Thoracic Surgery, Chung Shan Medical University Hospital, Taichung, Taiwan; School of Medicine, Chung Shan Medical University, Taichung, Taiwan
| | - Chung-Kan Peng
- Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan; Department of Medical Planning, Medical Affairs Bureau Ministry of National Defense, Taipei, Taiwan
| | - En-Kuei Tang
- Department of Surgery, Division of Thoracic Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; Shu-Zen Junior College of Medicine and Management, Kaohsiung, Taiwan
| | - Chia-Lin Hsu
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Teh-Ying Chou
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Pathology, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan
| | - Wei-Chih Shen
- Artificial Intelligence Center, Chung Shan Medical University Hospital, Taichung, Taiwan; Department of Medical Informatics, Chung Shan Medical University, Taichung, Taiwan
| | - Ying-Huang Tsai
- Department of Respiratory Therapy, Chang Gung University, Taoyuan, Taiwan; Department of Pulmonary and Critical Care, Xiamen Chang Gung Hospital, Xiamen, China
| | - Chun-Ming Tsai
- Department of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan; Cathay General Hospital, Taipei, Taiwan
| | - Yuh-Min Chen
- School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yu-Chin Lee
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Pulmonary Medicine, West Garden Hospital, Taipei, Taiwan
| | - Hsuan-Yu Chen
- Institute of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Sung-Liang Yu
- Department of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Yung-Liang Wan
- Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Medical Imaging and Radiological Sciences, Chang Gung University, Taoyuan, Taiwan
| | - Chao Agnes Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Pan-Chyr Yang
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan; Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan; Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
| |
Collapse
|
23
|
Zhou Y, Xiang Z, Lin W, Lin J, Wen Y, Wu L, Ma J, Chen C. Long-term trends of lung cancer incidence and survival in southeastern China, 2011-2020: a population-based study. BMC Pulm Med 2024; 24:25. [PMID: 38200537 PMCID: PMC10782768 DOI: 10.1186/s12890-024-02841-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Lung cancer is the primary cause of cancer-related deaths in China. This study analysed the incidence and survival trends of lung cancer from 2011 to 2020 in Fujian Province, southeast of China, and provided basis for formulating prevention and treatment strategies. METHODS The population-based cancer data was used to analyse the incidence of lung cancer between 2011 and 2020, which were stratified by sex, age and histology. The change of incidence trend was analysed using Joinpoint regression. The relative survival of lung cancer with onset in 2011-2014, 2015-2017 and 2018-2020 were calculated using the cohort, complete and period methods, respectively. RESULTS There were 23,043 patients diagnosed with lung cancer in seven registries between 2011 and 2020, with an age-standardized incidence rate (ASIR) of 37.7/100,000. The males ASIR increased from 51.1/100,000 to 60.5/100,000 with an annual percentage change (APC) of 1.5%. However, females ASIR increased faster than males, with an APC of 5.7% in 2011-2017 and 21.0% in 2017-2020. Compared with 2011, the average onset age of males and females in 2020 was 1.5 years and 5.9 years earlier, respectively. Moreover, the proportion of adenocarcinoma has increased, while squamous cell carcinoma and small cell carcinoma have decreased over the past decade. The 5-year relative survival of lung cancer increased from 13.8 to 23.7%, with a greater average increase in females than males (8.7% and 2.6%). The 5-year relative survival of adenocarcinoma, squamous cell carcinoma and small cell carcinoma reached 47.1%, 18.3% and 6.9% in 2018-2020, respectively. CONCLUSIONS The incidence of lung cancer in Fujian Province is on the rise, with a significant rise in adenocarcinoma, a younger age of onset and the possibility of overdiagnosis. Thus, Fujian Province should strengthen the prevention and control of lung cancer, giving more attention to the prevention and treatment of lung cancer in females and young populations.
Collapse
Affiliation(s)
- Yan Zhou
- Department of Epidemiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, China
- Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, 350014, Fuzhou, China
| | - Zhisheng Xiang
- Department of Epidemiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, China
| | - Weikai Lin
- Department of Thoracic Surgery, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, 350003, Fuzhou, China
| | - Jinghui Lin
- Department of Thoracic oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, China
| | - Yeying Wen
- Department of Epidemiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, China
| | - Linrong Wu
- Fujian Provincial Office for Cancer Prevention and Control, 350014, Fuzhou, China
| | - Jingyu Ma
- Department of Epidemiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, China.
| | - Chuanben Chen
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No.420 Fuma Road, 350014, Fuzhou, China.
| |
Collapse
|
24
|
Welch HG, Bergmark R. Cancer Screening, Incidental Detection, and Overdiagnosis. Clin Chem 2024; 70:179-189. [PMID: 37757858 DOI: 10.1093/clinchem/hvad127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/22/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND In the past, patients were only diagnosed with cancer because they had symptoms. Now, because of screening and incidental detection, some patients are diagnosed with cancer when they are asymptomatic. While this shift is typically viewed as desirable, it has produced an unfortunate side-effect: it is now possible to be diagnosed with a cancer not destined to cause symptoms or death-a phenomenon labeled as overdiagnosis. CONTENT We begin with a brief introduction to the heterogeneity of cancer progression: at one extreme, some cancers are already systemic by the time they are detectable; at the other, some grow extremely slowly or even regress. The ensuing sections describe the evidence that the pursuit of earlier detection has led to overdiagnosis. Although rarely confirmed in an individual, overdiagnosis is readily identifiable in a long-term follow-up of a randomized trial of screening. Furthermore, 2 population signatures for overdiagnosis exist: (a) rising incidence coupled with stable mortality and (b) rising early-stage incidence coupled with stable late-stage incidence. Finally, we review the misleading feedback produced by overdiagnosis-such as rising 5-year survival rates and more cancer survivors. This feedback is erroneously interpreted as reinforcing the value of early detection, encourages more screening/incidental detection and, ironically, promotes more overdiagnosis. SUMMARY Overdiagnosis is an unintended consequence of the desire to detect cancer early. Given the evolving understanding that tumor biology and host response are more relevant to prognosis than early vs late diagnosis, it is time to challenge the assertion that early diagnosis is always the best approach to curing cancer.
Collapse
Affiliation(s)
- H Gilbert Welch
- Center for Surgery & Public Health, Department of Surgery, Brigham and Women's Hospital, Boston, MA, United States
| | - Regan Bergmark
- Center for Surgery & Public Health, Department of Surgery, Brigham and Women's Hospital, Boston, MA, United States
| |
Collapse
|
25
|
Chien LH, Jiang HF, Tsai FY, Chang HY, Freedman ND, Rothman N, Lan Q, Hsiung CA, Chang IS. Incidence of Lung Adenocarcinoma by Age, Sex, and Smoking Status in Taiwan. JAMA Netw Open 2023; 6:e2340704. [PMID: 37910104 PMCID: PMC10620613 DOI: 10.1001/jamanetworkopen.2023.40704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 09/19/2023] [Indexed: 11/03/2023] Open
Abstract
Importance Knowing whether the effects of smoking and other risk factors with lung adenocarcinoma (ADC) incidence varies by sex would provide information on lung cancer prevention strategies. Objective To evaluate whether women in Taiwan have higher age- and tumor stage-specific lung ADC incidence rates than men irrespective of smoking status (ie, ever smoker or never smoker). Design, Setting, and Participants This population-based cohort study used data sets synthesized from the Taiwan Cancer Registry (TCR) from 1979 to 2019; the TCR Long Form (TCRLF) from 2011 to 2019, which provides individual-level smoking and tumor stage information; the Taiwan Cause of Death Database (TCOD) from 1985 to 2019; the National Health Insurance Research Database (NHIRD) from 2000 to 2020; the Monthly Bulletin of Interior Statistics (MBIS) from 2011 to 2019; the National Health Interview Survey from 2001, 2005, 2009, 2013, and 2017; and Taiwan Biobank data from 2008 to 2021. Included patients were aged 40 to 84 years and had any invasive lung cancer from January 1, 2011, to December 31, 2019. Exposure Smoking status. Main Outcomes and Measures The main outcomes were age-specific female-to-male incidence rate ratios (IRRs) of lung ADC by smoking status and tumor stage. Linked data from the TCR, TCOD, NHIRD, Taiwan National Health Interview Survey, and MBIS were used to estimate the age- and sex-specific numbers of cancer-free individuals at midyears from 2011 to 2019 by smoking status. Using the TCR and TCRLF, age-, sex-, tumor stage-, and diagnosis year-specific numbers of patients with lung ADC from 2011 to 2019 by smoking status were estimated. Results A total of 61 285 patients (32 599 women [53.2%]) aged 40 to 84 years (mean [SD] age, 64.66 [10.79] years) in the Taiwanese population of approximately 23 million were diagnosed with invasive lung ADC as their first lifetime cancer between 2011 and 2019. Among smokers, men had higher tobacco use by almost all examined metrics, including nearly twice the mean (SD) number of pack-years smoked (eg, 7.87 [8.30] for men aged 30-34 years vs 4.38 [5.27] for women aged 30-34 years). For 5-year age bands between 40 and 84 years, incidence of lung ADC was significantly higher among females than males for nearly all age groups irrespective of tumor stage and smoking status (eg, for the age group 70-74 years, the female-to-male IRR for late-stage lung ADC among never smokers was 1.38 [95% CI, 1.30-1.50]). Conclusions and Relevance In this cohort study, women had higher age- and stage-specific lung ADC incidence rates than men in Taiwan for both never and ever smokers, suggesting the possibility of differential exposures between sexes to risk factors other than smoking and the potential modification of ADC risk factors by sex. Further work is needed to determine whether this pattern replicates in other populations, discover the causes of lung ADC, and put preventive measures in place.
Collapse
Affiliation(s)
- Li-Hsin Chien
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
- Department of Applied Mathematics, Chung-Yuan Christian University, Chung-Li, Taiwan
| | - Hsin-Fang Jiang
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Fang-Yu Tsai
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Hsing-Yi Chang
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Chao A. Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| |
Collapse
|
26
|
Liu YC, Liang CH, Wu YJ, Chen CS, Tang EK, Wu FZ. Managing Persistent Subsolid Nodules in Lung Cancer: Education, Decision Making, and Impact of Interval Growth Patterns. Diagnostics (Basel) 2023; 13:2674. [PMID: 37627933 PMCID: PMC10453827 DOI: 10.3390/diagnostics13162674] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
With the popularization of lung cancer screening, many persistent subsolid nodules (SSNs) have been identified clinically, especially in Asian non-smokers. However, many studies have found that SSNs exhibit heterogeneous growth trends during long-term follow ups. This article adopted a narrative approach to extensively review the available literature on the topic to explore the definitions, rationale, and clinical application of different interval growths of subsolid pulmonary nodule management and follow-up strategies. The development of SSN growth thresholds with different growth patterns could support clinical decision making with follow-up guidelines to reduce over- and delayed diagnoses. In conclusion, using different SSN growth thresholds could optimize the follow-up management and clinical decision making of SSNs in lung cancer screening programs. This could further reduce the lung cancer mortality rate and potential harm from overdiagnosis and over management.
Collapse
Affiliation(s)
- Yung-Chi Liu
- Department of Radiology, Xiamen Chang Gung Hospital, Xiamen 361028, China;
- Department of Imaging Technology Division, Xiamen Chang Gung Hospital, Xiamen 361028, China
- Department of Healthcare Administration Department, Xiamen Chang Gung Hospital, Xiamen 361028, China
| | - Chia-Hao Liang
- Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei 112304, Taiwan;
| | - Yun-Ju Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan;
- Department of Software Engineering and Management, National Kaohsiung Normal University, Kaohsiung 80201, Taiwan
| | - Chi-Shen Chen
- Physical Examination Center, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan;
| | - En-Kuei Tang
- Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung 813414, Taiwan;
| | - Fu-Zong Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan;
- School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan
- Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
- Institute of Education, National Sun Yat-Sen University, Kaohsiung 804241, Taiwan
| |
Collapse
|
27
|
Why Are Women More Likely to Be Overdiagnosed With Lung Cancer? Chest 2023; 163:22-24. [PMID: 36628669 DOI: 10.1016/j.chest.2022.09.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 09/10/2022] [Indexed: 01/10/2023] Open
|