Impact of low-dose computed tomography for lung cancer screening on lung cancer surgical volume: The urgent need in health workforce education and training.
Yi-Chi HungEn-Kuei TangYun-Ju WuChen-Jung ChangFu-Zong WuPublished in: Medicine (2021)
This study aimed to investigate the time trend variation in the surgical volume and prognostic outcome of patients with lung cancer after the gradual prolonged implementation of a low-dose computed tomography (LDCT) lung cancer screening program.Using the hospital-based cancer registry data on number of patients with lung cancer and deaths from 2008 to 2017, we conducted a retrospective study using a hospital-based cohort to investigate the relationship between changes in lung cancer surgical volume, the proportion of lung-sparing surgery, and prolonged prognostic outcomes after the gradual implementation of the LDCT lung cancer screening program in recent years.From 2008 to 2017, 3251 patients were diagnosed with lung cancer according to the hospital-based cancer registry. The 5-year mortality rate decreased gradually from 83.54% to 69.44% between 2008 and 2017. The volume of total lung cancer surgical procedures and proportion of lung-sparing surgery performed gradually increased significantly from 2008 to 2017, especially from 2014 to 2017 after implementation of a large volume of LDCT lung cancer screening examinations. In conclusion, our real-world data suggest that there will be an increase in cases of operable early-stage lung cancers, which in turn will increase the surgical volume and proportion of lung-sparing surgery, after the gradual implementation of the LDCT lung cancer screening program in recent years. These findings suggest the importance of a successful national policy regarding LDCT screening programs, regulation of shortage of thoracic surgeons, thoracic radiologist workforce training positions, and education programs.
Keyphrases
- quality improvement
- healthcare
- computed tomography
- low dose
- public health
- early stage
- primary care
- minimally invasive
- end stage renal disease
- magnetic resonance imaging
- mental health
- chronic kidney disease
- type diabetes
- risk assessment
- coronary artery bypass
- magnetic resonance
- machine learning
- positron emission tomography
- high dose
- newly diagnosed
- acute coronary syndrome
- spinal cord injury
- lymph node
- deep learning
- papillary thyroid
- peritoneal dialysis
- sensitive detection
- prognostic factors
- squamous cell
- sentinel lymph node
- locally advanced
- climate change