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Clinical Trial 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.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT06299865
Study type Observational
Source Qianfoshan Hospital
Contact Xiaoqian Zhang, doctorate
Phone 18553108635
Email zhxqqy@163.com
Status Not yet recruiting
Phase
Start date March 1, 2024
Completion date December 31, 2024

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