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Analysis of Bone Micro-Architecture as a Clinical Biomarker for Image-Based Fracture Risk Estimation.

Primary Purpose

Osteoporosis

Status
Enrolling by invitation
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Dual Energy CT (DECT)
DEXA
Sponsored by
State University of New York - Upstate Medical University
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional diagnostic trial for Osteoporosis

Eligibility Criteria

60 Years - undefined (Adult, Older Adult)FemaleDoes not accept healthy volunteers

Inclusion Criteria:

  • Age 60 or greater Caucasian female with confirmed osteoporosis via prior DEXA.
  • Patients with known vertebral fractures (Genant Grade 2 or higher) and with no fractures (Genant Score <2) from prior DEXA/VFA analysis will be recruited.
  • Patients with fractures must have at least one lumbar vertebral body with no fracture(s) (as seen on prior DEXA scan) for analysis.

Exclusion Criteria:

  • Incidental finding to include pathology unrelated to osteoporosis that would directly affect bone architecture in the L spine (e.g. lytic bone lesions)
  • Study DEXA scan reveals all lumbar vertebra have fractures (Genant >= 2)
  • Orthopedic hardware in the lumbar spine region
  • Unable to have a CT scan (e.g. too heavy for CT scan table, 660 lb. limit)

Sites / Locations

  • SUNY Upstate Medical University

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

Experimental

Arm Label

Non-fracture

Fracture

Arm Description

subjects without a lumbar fracture will have a Dexa scan and Dual Energy CT (DECT) scan for observation/evaluation

subjects with one or more lumbar fractures will have a Dexa scan andDual Energy CT (DECT) scan for observation/evaluation

Outcomes

Primary Outcome Measures

Development of a predictive software tool that will analyze dual-energy CT scans of the spine, and use the image information to estimate the probability of the patient to suffer an osteoporotic fracture.
Computer algorithms will be developed to differentiate patients with high risk of fracture from patients with low risk of fracture.

Secondary Outcome Measures

Full Information

First Posted
July 14, 2016
Last Updated
November 18, 2021
Sponsor
State University of New York - Upstate Medical University
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1. Study Identification

Unique Protocol Identification Number
NCT03463850
Brief Title
Analysis of Bone Micro-Architecture as a Clinical Biomarker for Image-Based Fracture Risk Estimation.
Official Title
Multidimensional Analysis of Bone Micro-Architecture as a Clinical Biomarker for Image-Based Quantitative Fracture Risk Estimation.
Study Type
Interventional

2. Study Status

Record Verification Date
November 2021
Overall Recruitment Status
Enrolling by invitation
Study Start Date
June 2016 (undefined)
Primary Completion Date
November 30, 2023 (Anticipated)
Study Completion Date
November 30, 2023 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
State University of New York - Upstate Medical University

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
Yes
Data Monitoring Committee
No

5. Study Description

Brief Summary
Osteoporosis is a common disease among elderly people, which leads to an increased bone fracture risk. Bone fractures can greatly reduce quality of life and increase age-related problems including reduced life expectancy. In clinical practice, a bone mineral density (BMD) scan using dual-energy X-ray absorptiometry (DEXA) is used for diagnosing osteoporosis. However, DEXA does not always accurately predict who will develop fractures and who will not. This is because bone mineral density alone does not capture all of the factors that contribute to bone strength. One factor bone mineral density does not measure is trabecular microarchitecture of bone (structure of bone). Our goal in this study is to use a specialized CT scan called Dual-Energy CT (DECT) to capture information about the trabecular (spongy) bone in the vertebra of the lower (lumbar) spine. Research has shown that this kind of information helps in predicting bone strength in bone specimens. The investigator will use this information to develop a method to more accurately predict which patients are likely to experience fractures of the lumbar vertebra. These are the most common type of fractures associated with osteoporosis. The participant is being asked to participate in this research study because a physician is treating the participant for osteoporosis and the participant has met the initial criteria to participate in the study. Participation in this study involves having a DECT scan, as well as a DEXA scan if the participant has not had one recently (within two months). Research studies include only those individuals who choose to take part. Please take time to make a decision. Please ask the study doctor or the study staff to explain any words or information that are not understood. The participant may also want to discuss it with family members, friends or other health care providers.
Detailed Description
Osteoporosis is a common disease among elderly people, the progression of which leads to an increased bone fracture risk, which can adversely affect quality of life and increase age-related morbidity/mortality. The National Osteoporosis Foundation forecast that by 2015, osteoporosis will be responsible for three million fractures resulting in $25.3 billion in healthcare costs. This highlights an urgent demand for methods to accurately predict osteoporotic fracture risk for clinical assessment and management of osteoporosis. In clinical practice, dual-energy X-ray absorptiometry (DEXA) is the traditional and only method of diagnosing osteoporosis based on BMD measurements. However, DEXA has certain limitations, and a considerable overlap exists in BMD values between individuals who develop fractures and those who do not. This reflects that BMD does not capture all of the factors that contribute to bone strength. One such factor is trabecular microarchitecture of bone, well recognized in the definition of osteoporosis. Ex vivo studies have demonstrated that trabecular bone microarchitecture constitutes an important component of bone strength, independent of BMD. However, trabecular microarchitecture is not considered in the evaluation of fracture risk in clinical practice. Several imaging techniques have been reviewed as potential candidates for clinical evaluation of trabecular bone microarchitecture. Technological improvements in high resolution X-ray imaging and MRI are providing increasingly accurate data on bone microarchitecture, but can be used only at peripheral sites (femur and forearm) and have not yet been incorporated into standardized clinical imaging protocols due to the lack of central site (lumbar spine) assessment, where osteoporotic fractures are most prevalent. The current literature suggests a potential to increase the diagnostic accuracy of bone-strength prediction by incorporating advanced mathematical descriptors of bone structure. The project collaborators in Rochester have demonstrated that geometrical features characterizing the femoral trabecular compartment can complement conventional BMD measurements and improve bone strength prediction in ex vivo femur specimens. However, little effort has been made to actually utilize this complementary image information in clinical practice. This study should encourage the further development of these techniques and implementation into clinical practice. Our goal is to start to bridge the gap between fundamental research on bone strength prediction and clinical management of osteoporosis, reflecting a translational research approach from "bench to bedside". To this end, a novel methodology will be evaluated by both a retrospective analysis and a prospective pilot study. The specific choice of using dual-energy CT (DECT) for the prospective pilot study is motivated by the potential to improve BMD measurement beyond what Quantitative CT (QCT) can, and it also allows for material decomposition into calcium and soft-tissue components, which has applications for other clinically relevant disease entities and will eventually result in the widespread availability of this relatively new technology.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Osteoporosis

7. Study Design

Primary Purpose
Diagnostic
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
None (Open Label)
Allocation
Non-Randomized
Enrollment
40 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Non-fracture
Arm Type
Experimental
Arm Description
subjects without a lumbar fracture will have a Dexa scan and Dual Energy CT (DECT) scan for observation/evaluation
Arm Title
Fracture
Arm Type
Experimental
Arm Description
subjects with one or more lumbar fractures will have a Dexa scan andDual Energy CT (DECT) scan for observation/evaluation
Intervention Type
Radiation
Intervention Name(s)
Dual Energy CT (DECT)
Intervention Description
Dual Energy CT (DECT)
Intervention Type
Radiation
Intervention Name(s)
DEXA
Intervention Description
Dual-energy x-ray absorptiometry for measurement of bone mineral density
Primary Outcome Measure Information:
Title
Development of a predictive software tool that will analyze dual-energy CT scans of the spine, and use the image information to estimate the probability of the patient to suffer an osteoporotic fracture.
Description
Computer algorithms will be developed to differentiate patients with high risk of fracture from patients with low risk of fracture.
Time Frame
2 years

10. Eligibility

Sex
Female
Minimum Age & Unit of Time
60 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Age 60 or greater Caucasian female with confirmed osteoporosis via prior DEXA. Patients with known vertebral fractures (Genant Grade 2 or higher) and with no fractures (Genant Score <2) from prior DEXA/VFA analysis will be recruited. Patients with fractures must have at least one lumbar vertebral body with no fracture(s) (as seen on prior DEXA scan) for analysis. Exclusion Criteria: Incidental finding to include pathology unrelated to osteoporosis that would directly affect bone architecture in the L spine (e.g. lytic bone lesions) Study DEXA scan reveals all lumbar vertebra have fractures (Genant >= 2) Orthopedic hardware in the lumbar spine region Unable to have a CT scan (e.g. too heavy for CT scan table, 660 lb. limit)
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Kent Ogden, PhD
Organizational Affiliation
Upstate Medical University
Official's Role
Principal Investigator
Facility Information:
Facility Name
SUNY Upstate Medical University
City
Syracuse
State/Province
New York
ZIP/Postal Code
13210
Country
United States

12. IPD Sharing Statement

Plan to Share IPD
No

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Analysis of Bone Micro-Architecture as a Clinical Biomarker for Image-Based Fracture Risk Estimation.

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