3D Imaging of the Hip Using DXA

NCT ID: NCT00666640

Last Updated: 2014-09-19

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 100 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2008-05-31
• Study Completion Date: 2012-01-31

Brief Summary

The study aims to determine the efficacy and best methods for predicting hip fractures and diagnosing post-menopausal osteoporosis using three dimensional structural engineering models (SEMs) of proximal femoral bone produced using a Hologic Discovery duel-energy x-ray absorptiometry scanner and Hologic's new 3D Hip(TM) software in comparison to three dimensional SEMs produced using quantitative computed tomography - the current gold standard.

Detailed Description

Bone mineral density (BMD) measurements by dual-energy x-ray absorptiometry (DXA) have been available to the clinician for the past 20 years and their use forms the basis of current clinical practice guidelines. The measurements are very useful, but they could be improved upon by taking into account the third dimension of bone (depth) and the distribution of mineral within bone. The value of a diagnostic test depends greatly on the strength of association of the measurement with the outcome. If we find that our new approach strengthens the ability of hip DXA measurements to predict fracture then we will have a greatly improved diagnostic test and so can better identify those patients we should treat. Further, such a test would allow better evaluation of new therapies for osteoporosis, particularly those that may alter bone geometry, including anabolic agents such as teriparatide.

Patients attending for study visits will complete a basic questionnaire to collect information on their bone health and lifestyle (the current Metabolic Bone Centre standard questionnaire). Patients will also undergo DXA scans of their hips on a Hologic Discovery DXA machine using a new 3D imaging technique called '3D HipTM'. Hologic will process 3D HipTM scans and provide us with volumetric dataset of the scans before they provide us with a high performance PC and software for us to do the process on-site. They have already installed the software upgrade and necessary hardware to our Discovery densitometry system to enhance the 3D HipTM capability. Patients will attend for a CT scan of their hip at the medical imaging department of the Northern General Hosptial as per standard practice.

50 postmenopausal women who have recently suffered a hip fracture will be recruited to the study. 50 postmenopausal age matched controls will also be recruited. Subjects will give informed consent and a study visit will be arranged for them to attend for a DXA scan and a CT scan. At the study visit basic demographic data and a brief medical history will be collected on study specific Case Report Forms (CRF).

The intended outcomes of the study are 1) To establish the diagnostic accuracy for hip fracture of the 3D HipTM and SEMs derived from the 3D HipTM, and to determine how much better the 3D HipTM is over the traditional 2D DXA in a case controlled study. 2) To compare three dimensional SEMs of the proximal femur derived from 3D Hip(TM) against simulated SEMs derived using quantitative computed tomography.

Conditions

Osteoporosis; Low-energy Trauma Fracture

Study Design

• Observational Model Type: CASE_CONTROL
• Study Time Perspective: PROSPECTIVE

Study Groups

1

50 subjects who have suffered a hip fracture

DXA scan of hip

Intervention Type: DEVICE

Dual-energy X-ray Absorptiometry scan

CT scan of hip

Intervention Type: DEVICE

Computed Tomography scan

2

50 age matched controls

DXA scan of hip

Intervention Type: DEVICE

Dual-energy X-ray Absorptiometry scan

CT scan of hip

Intervention Type: DEVICE

Computed Tomography scan

Interventions

DXA scan of hip

Dual-energy X-ray Absorptiometry scan

Intervention Type: DEVICE

CT scan of hip

Computed Tomography scan

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

• be female
• at least 5 years post menopausal but <85 years
• be sufficiently mobile to undergo DXA and QCT scanning
• be able and willing to participate in the study and provide written informed consent

Exclusion Criteria

• bi-lateral hip replacement
• have hip replacement on the non-fractured side
• have any history of cancer within the past 5 years excluding skin cancer non melanomas
• have a history of ongoing conditions or diseases known to cause abnormalities of calcium metabolism or skeletal health (secondary osteoporosis)
• have a history of chronic renal disease (as defined by a creatinine clearance of ≤ 30ml/min)
• Acute or chronic hepatic disease
• Malabsorption syndromes
• Hyperthyroidism as manifested by TSH outside the lower limit of the normal range
• Hyperparathyroidism
• Hypocalcemia or hypercalcemia
• Osteomalacia
• Cushing's syndrome
• patients who are currently on glucocorticoid therapy
• have a history of any known condition that would interfere with the assessment of DXA or CT of hip
• have markedly abnormal clinical laboratory parameters that are assessed as clinically significant by the investigator
• have participated in another clinical trial involving active therapy 3 months prior to randomisation
• have a known confusional state or dementia as documented in hospital notes, or be unsuitable for approach in the opinion of the physician with duty of care

• Minimum Eligible Age: 50 Years
• Maximum Eligible Age: 85 Years
• Eligible Sex: FEMALE
• Accepts Healthy Volunteers: Yes

Sponsors

Medical Research Council

OTHER_GOV

Sponsor Role: collaborator

Hologic, Inc.

INDUSTRY

Sponsor Role: collaborator

Sheffield Teaching Hospitals NHS Foundation Trust

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Lang Yang, Dr

Role: STUDY_DIRECTOR

Sheffield University

Eugene McCloskey, Dr

Role: STUDY_DIRECTOR

Sheffield University

Locations

Bone Biomedical Research Unit, Northern General Hospital

Sheffield, South Yorkshire, United Kingdom

Countries

United Kingdom

Other Identifiers

STH14748

Identifier Type: -

Identifier Source: org_study_id