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

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.

Study Overview

• Status: Not yet recruiting
• Conditions: Osteoporosis; Diagnosis; Quantitative Computed Tomography; Dual Energy X-ray Absorptiometry
• Intervention / Treatment: Other: Ungrouped

• Study Type: Observational
• Enrollment (Estimated): 72

Contacts and Locations

• Study Contact: Name: Xiaoqian Zhang, doctorate; Phone Number: 18553108635; Email: zhxqqy@163.com

Study Locations

• China
  • Shandong
    • Jinan, Shandong, China
      • Shandong Provincial Qianfoshan Hospital

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: No

• Sampling Method: Non-Probability Sample

Study Population

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.

Description

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

Study Plan

How is the study designed?

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Comparison of the difference in detection rates of osteoporosis between dual energy X-ray and quantitative CT	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.	January 2019 to December 2022

Collaborators and Investigators

• Sponsor: Xiaoqian Zhang

Study record dates

Study Major Dates

• Study Start (Estimated): March 1, 2024
• Primary Completion (Estimated): December 31, 2024
• Study Completion (Estimated): December 31, 2024

Study Registration Dates

• First Submitted: January 4, 2024
• First Submitted That Met QC Criteria: March 1, 2024
• First Posted (Actual): March 8, 2024

Study Record Updates

• Last Update Posted (Actual): March 8, 2024
• Last Update Submitted That Met QC Criteria: March 1, 2024
• Last Verified: March 1, 2024

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Metabolic Diseases; Musculoskeletal Diseases; Bone Diseases; Bone Diseases, Metabolic; Osteoporosis
• Other Study ID Numbers: YXLL-KY-2023（150）

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No