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Comparison of Detection Rates Between Two Commonly Used Bone Density Measurement Methods

Comparison of Detection Rates of Osteoporosis Between Dual Energy X-ray and Quantitative CT

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06299865
Enrollment
72
Registered
2024-03-08
Start date
2024-03-01
Completion date
2024-12-31
Last updated
2024-03-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diagnosis, Dual Energy X-ray Absorptiometry, Osteoporosis, Quantitative Computed Tomography

Brief summary

72 adult patients who underwent lumbar spine anteroposterior DXA and QCT examinations at Qianfoshan Hospital in Shandong Province from January 2019 to December 2022 were selected, with an interval of no more than 3 months between the two examinations for the same patient. 1. Record the patient's age, gender, height, and weight; Review the patient's past medical history (especially whether there is a history of brittle fractures, whether there is a history of using drugs that affect bone metabolism, etc.). 2. Retrieve the bone density values of the anterior lumbar vertebrae 1 to 4 measured by GE Healthcare Lunar Prodigy dual energy X-ray absorptiometry from the database, and take the average (DXA bone density value). According to the diagnostic criteria of the Diagnosis and Treatment Guidelines for Primary Osteoporosis (2022), determine whether the patient has normal bone mass, decreased bone mass, or osteoporosis. 3. Identify the lumbar spine bone density values (QCT bone density values) measured by the GE Gemstone CTHD750 CT instrument from the database. According to the diagnostic criteria of the Chinese Quantitative CT (QCT) Diagnosis Guidelines for Osteoporosis (2018), determine whether the patient has normal bone mass, decreased bone mass, or osteoporosis. 4. Statistical analysis was conducted on the normal bone density, bone loss, and number of osteoporosis diagnosed by DXA and QCT respectively, in order to explore the differences in the detection rates of osteoporosis between these two monitoring methods. The data was analyzed and processed using SPSS 21.0 statistical software, and the count data was expressed as a rate (%) χ 2-test, P\<0.05 indicates statistically significant difference; Explore whether the difference in detection rates between the two is related to factors such as weight; Calculate the detection rates of osteoporosis using two detection methods in patients who have experienced brittle fractures, and preliminarily determine which detection method is more accurate in determining osteoporosis.

Interventions

OTHERUngrouped

Ungrouped

Sponsors

Xiaoqian Zhang
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. Adults aged 18 and above, regardless of gender 2. The interval between DXA and QCT examinations shall not exceed 3 months.

Exclusion criteria

1. Individuals with other metabolic and bone diseases causing focal bone destruction of the vertebral body 2. Incomplete key information

Design outcomes

Primary

MeasureTime frameDescription
Comparison of the difference in detection rates of osteoporosis between dual energy X-ray and quantitative CTJanuary 2019 to December 2022Statistical analysis was conducted on the normal bone density, bone loss, and number of osteoporosis diagnosed by DXA and QCT respectively, in order to explore the differences in the detection rates of osteoporosis between these two monitoring methods. The data was analyzed and processed using SPSS 21.0 statistical software, and the count data was expressed as a rate (%) χ 2-test, P\<0.05 indicates statistically significant difference; Explore whether the difference in detection rates between the two is related to factors such as weight; Calculate the detection rates of osteoporosis using two detection methods in patients who have experienced brittle fractures, and preliminarily determine which detection method is more accurate in determining osteoporosis.

Countries

China

Contacts

Primary ContactXiaoqian Zhang, doctorate
zhxqqy@163.com18553108635

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026