NCT02185495

Brief Summary

Imaging procedures including chest X-ray and low-dose computed tomography may be effective in lung cancer early detection. Yet it is unknown whether low-dose computed tomography combined with computer aided detection (CAD) is more effective than LDCT in screening of early lung cancer.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
3,000

participants targeted

Target at P75+ for phase_2 lung-cancer

Timeline
Completed

Started Jul 2014

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

July 1, 2014

Completed
4 days until next milestone

First Submitted

Initial submission to the registry

July 5, 2014

Completed
4 days until next milestone

First Posted

Study publicly available on registry

July 9, 2014

Completed
3.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2017

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2017

Completed
Last Updated

December 18, 2014

Status Verified

November 1, 2014

Enrollment Period

3.2 years

First QC Date

July 5, 2014

Last Update Submit

December 16, 2014

Conditions

Outcome Measures

Primary Outcomes (1)

  • The sensitivities of low-dose computed tomography and low-dose computed tomography with computer aided detection in detecting early lung cancer

    A questionaire will be recorded for each subject, including demographics, smoking history and disease history, etc. If a pulmonary nodule was found, the location, shape, size, margin and density will be recorded. A subject with a suspected malignant nodule, which was detected either by a radiologist or computed-aiding detection software, will refer to a physician for further management. Finally, the sensitivities of radiologist or software detection will be calculated.

    24months

Secondary Outcomes (2)

  • The false positive rates between low-dose computed tomography and low-dose computed tomography with computer aided detection will be compared

    24months

  • Nodule detection rate

    6 months

Study Arms (1)

High-risk individuals

EXPERIMENTAL

The elder and heavy smokers, which are high-risk individuals for early lung cancer. These subjects will be examined using "Observer nodule detection" and " Computer-aided nodule detection".

Behavioral: Observer nodule detectionDevice: Computer-aided nodule detection

Interventions

Radiologists will detect the nodules.

High-risk individuals

Computed-aided detection (CAD) software will be used to detect the nodules.

High-risk individuals

Eligibility Criteria

Age35 Years - 74 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age of 55 to 74 years; smoking history of at least 30 pack-years; and if former smoker, have quit within 15 years
  • Age 50 or older ,20 or more pack-year history of smoking, and one additional risk factor (occupational exposure, residential radon exposure, cancer history, family history of lung cancer, history of lung disease)
  • Age 35 and one additional risk factor
  • Ability to accept LDCT examination and sign informed consent form

You may not qualify if:

  • Individuals with any symptoms suggestive of lung cancer (e.g., vigorous coughing, chest pain, weight loss, blood-stained sputum)
  • Individuals with acute pulmonary abnormalities or those in poor health conditions or those have metallic implants or devices in the chest or back will be excluded due to the potential impact on the results as well as difficulty of acquiring the images.
  • Pregnant women

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Changzheng Hospital

Shanghai, Shanghai Municipality, 200003, China

RECRUITING

MeSH Terms

Conditions

Lung Neoplasms

Condition Hierarchy (Ancestors)

Respiratory Tract NeoplasmsThoracic NeoplasmsNeoplasms by SiteNeoplasmsLung DiseasesRespiratory Tract Diseases

Study Officials

  • Shiyuan Liu, MD

    Radiology Department of Shanghai Changzheng Hospital

    STUDY DIRECTOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
phase 2
Allocation
NA
Masking
NONE
Purpose
SCREENING
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Shanghai Changzheng Hospital

Study Record Dates

First Submitted

July 5, 2014

First Posted

July 9, 2014

Study Start

July 1, 2014

Primary Completion

September 1, 2017

Study Completion

September 1, 2017

Last Updated

December 18, 2014

Record last verified: 2014-11

Locations