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Evaluation of Agreement Between CT Scan and 3D-DXA Measurements on the Lombar Spine

Evaluation of Agreement Between CT Scan and 3D-DXA Measurements on the Lombar Spine

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT03638674
Acronym
3D DXA SPINE
Enrollment
120
Registered
2018-08-20
Start date
2019-02-26
Completion date
2021-08-20
Last updated
2026-06-16

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

Conditions

Bone Fracture

Brief summary

Dual-energy X-ray Absorptiometry is frequently used to measure bone mineral density. A new medical device, Box 3D DXA, creates a 3D image using a statistics reconstruction model developed on the femur. This new imaging technique does not require additional irradiation and ought to improve bone measures as well as incorporating densitometric parameters into the diagnosis. This study will test the reconstruction of the 3D image from lombar spine measurements and compare accuracy against measurements made using CT scan.

Interventions

OTHERDXA + CT

Two dual-energy X-ray scans + CT scan

Sponsors

Centre Hospitalier Universitaire de Nīmes
Lead SponsorOTHER
DMS Apelem
CollaboratorINDUSTRY

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
OTHER
Masking
NONE

Eligibility

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

Inclusion criteria

* The patient must have given their free and informed consent and signed the consent form * The patient must be a member or beneficiary of a health insurance plan * The patient is at least 18 years old * The patient has been referred by a doctor for a PET/CT (Positron Emission Tomography-Computed Tomography) scan or a SPECT (Single Photon Emission Computed Tomography) scan in the Nuclear Medicine and Medical Biophysics Department of Nimes hospital or a bone scan including a SPECT/CT (single photon emission computed tomography coupled with a CT scan)

Exclusion criteria

* The subject is participating in an interventional study, or is in a period of exclusion determined by a previous study * The subject refuses to sign the consent * It is impossible to give the subject informed information * The patients is under judicial protection or state guardianship * The patient is pregnant or breast feeding * The subject has a observably serious scoliosis * Subject has previously had spinal or hip surgery * Subject weighs more than 200kg and/or is more than 2 meters tall by 5+65cm wide and 70cm diameter * Patient uses an insulin pump or wears an insulin or morphine tubing or any attenuating equipment affecting the hips or lumbar spine * Subject has already had an X-ray exam using a contrast product such as barium in the 7 days preceding the visit * Subject having undergone γ radiation exam in the 15 days preceding the visit

Design outcomes

Primary

MeasureTime frameDescription
Concordance in lombar spine measurements between box 3D-DXA (index test) and CT scan (reference test)Day 0Lin's concordance coefficient

Secondary

MeasureTime frameDescription
Reproducibility of the 3D-DXA Spine algorithm for lombar spine measurementsDay 02 acquisitions under the same conditions. Using root-mean-square coefficient of variation to calculate the Least Significant Change
Robustness of 3D-DXA Spine measurement for lombar spine measurementsDay 02 acquisitions under the same conditions. Using interquartile range as a measure of dispersion of the variable
Concordance in femur measurements between box 3D-DXA (index test) and CT scan (reference test)Day 0Lin's concordance coefficient
Reproducibility of the 3D-DXA Femur algorithm for femur measurementsDay 02 acquisitions under the same conditions. Using root-mean-square coefficient of variation to calculate the Least Significant Change
Robustness of 3D-DXA Femur measurement for femur measurementsDay 02 acquisitions under the same conditions. Using interquartile range as a measure of dispersion of the variable

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 17, 2026