Clinical trial Recruiting at 6 sites Observational Ages 30 to 90

China health screening using low-dose chest CT to measure spine bone density and body/liver fat

Official title: China Nationwide Multi Center Big Data Study on the Quantitative Computed Tomography (QCT) and Health Status of Check -up Population

Run by Beijing Jishuitan Hospital · NCT03699228 · Data updated 2026-11-12

This project uses low-dose chest CT scans and QCT to test whether spine bone density, visceral fat, and liver fat can be measured in adults getting routine health checks across China.

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Quick facts

Study typeObservational
Ages30 Years to 90 Years
SexAll
Enrollment30000 (estimated)
SponsorBeijing Jishuitan Hospital
Academic / other
Locations6 sites (Wuhu, Anhui and 5 other locations)
StatusRecruiting
StartedDecember 1, 2017
Main results expectedJune 30, 2026
Study endsDecember 31, 2026
Registry record updatedAugust 17, 2025
Trial IDNCT03699228 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults aged 30–90 undergoing low-dose chest CT for routine health checks at participating Chinese centers who are not pregnant and have no metal implants in the scan area.

Probably not a fit

People outside the 30–90 age range, pregnant women, or those with metal implants in the chest/scan area may not receive useful QCT measurements from this protocol.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This nationwide, multi-center observational project collects low-dose chest CT raw data from health-check participants aged 30–90 at several Chinese hospitals. Investigators apply quantitative CT (QCT) processing to derive spinal bone mineral density, visceral adipose tissue volume, and liver fat content from existing CT data without additional scans. Pregnant women and people with metal implants in the scan area are excluded. The study will report how well QCT performs in the health-check setting and estimate the prevalence of osteoporosis, obesity, and liver steatosis in the screened population.

Why it matters

Potential benefit: If successful, routine low-dose chest CTs could also identify people with low bone density, excess visceral fat, or fatty liver so they can receive earlier follow-up and care.

How similar studies have gone: Previous opportunistic QCT analyses of routine CT scans have shown feasibility for measuring bone density, visceral fat, and liver fat in other cohorts, though large nationwide multi-center validation across China is limited.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

health check subjects 30-90 years old low dose chest CT scan

Exclusion Criteria:

pregnant women metal implant in the CT scan area

Where it's running

  • Wu Hu Yijishan Hospital
    Wuhu, Anhui, China
    Recruiting
  • Beijing Jishuitan hospital
    Beijing, Beijing Municipality, China
    Recruiting
  • The first affiliated hospital of Guiyang Medical University
    Guiyang, Guizhou, China
    Recruiting
  • The first affiliated hospital of Zhengzhou University
    Zhengzhou, Henan, China
    Recruiting
  • Hua Shan hospital
    Shanghai, Shanghai Municipality, China
    Recruiting
  • Shanghai Ruijin hospital
    Shanghai, Shanghai Municipality, China
    Recruiting

Study contacts

  • Principal investigator: xiaoguang cheng, MD — Beijing Jishuitan Hospital
  • Study coordinator: xiaoguang cheng, md
  • Email: xiao65@263.net
  • Phone: 0086-010-58516947

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.