Early Detection of Lung Cancer in Czech High-risk Asymptomatic Individuals
ELEGANCE
1 other identifier
observational
3,200
1 country
1
Brief Summary
The aim of this study is to evaluate and optimize entry criteria for the proposed programme for early detection of lung cancer in the Czech Republic. An estimated 3200 high-risk (age 55-74 years, \>30 pack-years) asymptomatic individuals will undergo baseline low-dose chest CT (LDCT) and a follow-up LDCT at 1 year. Patients with poor performance status (PS) 2-4, history of malignancy in the past 10 years, chest CT in the past 1 year, bodyweight \>140kg will not be included. The patients will fill out a questionnaire with basic data, including smoking history (pack-years), history of previous malignancy, CT imaging of the thorax, and will undergo spirometry. Outcomes of the study include:
- optimization of entry criteria, optimization of timing of a follow-up LDCT and management of the patients, proposal of quality assurance indicators
- influence of screening on the stage of lung cancer at the time of the diagnosis and life-years lost
- cost-effectiveness of the screening program
- evaluation of the diagnostic yield for secondary findings (pulmonary fibrosis, cardiovascular risk)
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Aug 2020
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
August 1, 2020
CompletedFirst Submitted
Initial submission to the registry
August 27, 2020
CompletedFirst Posted
Study publicly available on registry
November 13, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2023
CompletedNovember 13, 2020
November 1, 2020
3.4 years
August 27, 2020
November 7, 2020
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The number of cancers detected at stage I
The proportion of cancers diagnosed at a resectable stage (stage I) vs. non-resectable stage (II-IV) will be compared to the stage distribution in an unscreened population
2023
Secondary Outcomes (1)
The cost per diagnosis at a resectable stage
2023
Other Outcomes (2)
Number of secondary examinations
2023
Number of secondary findings
2023
Study Arms (1)
LDCT
Single arm - all patients undergo low-dose CT (LDCT) examination of lungs
Interventions
Follow-up low-dose CT, PET-CT, tissue sampling (transparietal biopsy, bronchoscopy, resection), contrast-enhanced CT of the thorax
Eligibility Criteria
Defined by eligibility criteria
You may qualify if:
- Age 55-74 years
- Smoking: \>= 30 pack-years, smoker or ex-smoker \<15 years
- Performance status (0-1) - can climb at least one floor without any difficulty or pause
You may not qualify if:
- Body weight above 140 kg
- Malignant disease within the last 10 years (except non-melanoma skin cancer).
- Chest CT less than one year ago
- Clinical signs suspicious of lung cancer (weight loss, new cough, hemoptysis)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
General University Hospital in Prague
Prague, 12808, Czechia
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Lukas Lambert, M.D.
General University Hospital, Prague
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associated professor
Study Record Dates
First Submitted
August 27, 2020
First Posted
November 13, 2020
Study Start
August 1, 2020
Primary Completion
December 31, 2023
Study Completion
December 31, 2023
Last Updated
November 13, 2020
Record last verified: 2020-11
Data Sharing
- IPD Sharing
- Will not share
There is no plan to share individual participant data.