ArticleQuantitative imaging in medicine and surgery2019
The study protocol for the China Health Big Data (China Biobank) project.
Article in Quantitative imaging in medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 50 citations in OpenAlex.
- Trends in lung cancer incidence and mortality and the potential for overdiagnosis associated with computed tomography screening across 21 countries on six continents.Journal of thoracic disease · 2026Article
- "One-stop-shop" medical imaging for osteoporosis and obese patients: a narrative review.Journal of endocrinological investigation · 2026Review
- Visceral Adipose Tissue Cut Points for Increased Metabolic Risk in Chinese Adults Using Low-Dose Computed Tomography: A Nationwide Multicenter Study.Obesity facts · 2026Article
- Comparison of association between intrathoracic and abdominal visceral adipose tissue areas with metabolic syndrome and cardiometabolic risk factors: a cross-sectional study.Quantitative imaging in medicine and surgery · 2025Article
- Article
- Automated opportunistic screening for osteoporosis using deep learning-based automatic segmentation and radiomics on proximal femur images from low-dose abdominal CT.BMC musculoskeletal disorders · 2025Article
- Artificial intelligence assisted automatic screening of opportunistic osteoporosis in computed tomography images from different scanners.European radiology · 2025Article
- Nonlinear Association Between the Visceral-to-Subcutaneous Fat Area Ratio and the Risk of Hypertension in Prediabetic Individuals: Evidence From a Large-Scale Health Screening Dataset in China.Journal of clinical hypertension (Greenwich, Conn.) · 2025Article
- A novel hybrid deep learning framework based on biplanar X-ray radiography images for bone density prediction and classification.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025Article
- Nonlinear Association Between the Liver Fat Content and the Risk of Hyperuricemia in Prediabetic Individuals: Evidence from Cross-Sectional Health Screening Data in China.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Thoracic vertebral bone mineral density measured by quantitative computed tomography is associated with fracture risk in lung cancer screening populations: a prospective cohort study.Frontiers in endocrinology · 2025Article
- Comparative evaluation of accuracy, precision, and radiation dose between mindways and low-dose iCare QCT for lumbar spine BMD using the European spine phantom.Frontiers in medical technology · 2025Article
- Association between the ratio of serum uric acid to high-density lipoprotein cholesterol and liver fat content: evidence from a Chinese health examination dataset.Scientific reports · 2024Article
- Opportunistic use of chest low-dose computed tomography (LDCT) imaging for low bone mineral density and osteoporosis screening: cutoff thresholds for the attenuation values of the lower thoracic and upper lumbar vertebrae.Quantitative imaging in medicine and surgery · 2024Article
- Dual-energy computed tomography and micro-computed tomography for assessing bone regeneration in a rabbit tibia model.Scientific reports · 2024Article
- A study on whether deep learning models based on CT images for bone density classification and prediction can be used for opportunistic osteoporosis screening.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024Article
- Prediction of osteoporosis using radiomics analysis derived from single source dual energy CT.BMC musculoskeletal disorders · 2023Article
- [Using Quantitative Computed Tomography to Study the Correlation Between Physical Composition and Grip Strength in Young People].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2022Article
- Using QCT to evaluate bone mineral and abdominal adipose changes in patients with primary hyperparathyroidism and comparing it to DXA for bone status assessment: a retrospective case-control study.Annals of translational medicine · 2022Article
- Assessment of Osteoporosis in Lumbar Spine:Frontiers in endocrinology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOsteoporosis, obesity, and fatty liver are increasingly common chronic diseases that seriously threaten people's health. Low-dose chest computed tomography (LDCT) scan is frequently used for lung cancer screening in health screenings and checkups. Quantitative computed tomography (QCT) enables the accurate measurement of volumetric bone mineral density (vBMD), liver fat content, and abdominal fat area using the existing LDCT data without extra radiation. We initiated a new project, the China Health Big Data (China Biobank), which combines the LDCT scan images from lung cancer screening of participants in health checkup with QCT to investigate the added value of QCT to LDCT, in order to establish the normative reference database and diagnosis criteria for the three aforementioned conditions.
methodsThe China Biobank project is a prospective nationwide multicenter cohort study that will combine QCT technology with LDCT scans to measure bone mineral density (BMD), intra-abdominal fat distribution, and liver fat content of the generally healthy checkup participants. Mindways QCT calibration phantom (Mindways Software Inc., Austin, TX, USA) and analysis software QCT PRO v6.0 will be used for all centers. Before data collection begins, the European Spine Phantom (ESP) will be used for quality control analysis at each collaborating center. The inclusion criteria are a healthy checkup participant aged 30-90 years, with LDCT as a part of his/her health checkup protocol. Exclusion criteria are pregnant women or participants with a metal implant in the CT scan area. The LDCT images will be transferred to the Mindways workstation for analysis, and vBMD in the L1 and L2 vertebrae, visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT), and liver fat content will be measured. As part of the health checkup, the demographic, anthropometric parameters, blood pressure, and a routine blood laboratory test will be collected. The estimated sample size will be about 30,000.
resultsThe combination of QCT with LDCT of the chest was validated in this project. The vBMD of spine, visceral fat and liver fat can be measured with a LDCT chest scan.
conclusionsThe China Biobank project will assess the added value of QCT to LDCT, and enable accurate evaluation of the prevalence of osteoporosis, obesity, and fatty liver disease in a very large Chinese cohort.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.