OsteoporosisNCT00145977
Texture Analysis for Postmenopausal Osteoporosis
A study testing Alendronate, Calcium Citrate and Vitamin D in people with Osteoporosis and Osteopenia, run by University of Chicago at 1 site in United States.
Trial summary
The purpose of this study is to determine if a new test for osteoporosis can be useful in monitoring treatment. We are studying a new method for examining the quality of bone by an experimental method of computerized analysis of radiographic images (x-ray pictures) of the heel. Read more about this study
- Who is it for?
- Ages 59 years and older, women only
- Conditions the study is for
- Osteoporosis, Osteopenia
- What is being tested?
- Alendronate, Calcium Citrate and Vitamin D
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 36 participants
- Where
- 1 siteUnited States
- Study dates
- Jul 2001to Dec 2009
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 59 years and older
- Women only
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- The study will enroll 40 postmenopausal women with a T score < -2 either at the lumbar spine or the femoral neck: 20 who decide to begin anti-resorptive therapy (treated group), and 20 women who decline such therapy (control group). We will attempt to match the patients and the controls for T score (within 0.3) and age (within 5 years).
- All study participants will be:
- at least 3 years past the last menstrual period,
- not on HRT, Raloxifene or calcitonin for at least 6 months.
Who cannot join
- All study participants will not be on bisphosphonates during the previous 12 months.
- Women with secondary causes of osteoporosis will be excluded.
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Changes in Bone Density, Radiographic Texture Analysis and Bone Turnover During Two Years of Antiresorptive Therapy for Postmenopausal Osteoporosis
The purpose of this study is to determine if a new test for osteoporosis can be useful in monitoring treatment. We are studying a new method for examining the quality of bone by an experimental method of computerized analysis of radiographic images (x-ray pictures) of the heel.
Read the detailed description
The study proposed in this application is a part of a larger project entitled "Clinical utility of radiographic texture analysis in diagnosing and treating osteoporosis". The overall goal of the larger project is to determine whether computerized texture analysis of digitized high-resolution images of trabecular bone (texture analysis) improves our ability to diagnose bone fragility and follow natural history and/or response to pharmacological therapy of osteoporosis. In the study proposed here we plan to examine changes in the results of texture analysis during two years of pharmacological therapy for osteoporosis.
Role of densitometry in osteoporosis:
Measurement of bone mineral density is the principal diagnostic method used in clinical practice and in research studies, both to identify patients who have the disease and to follow their response to therapeutic agents. The technique used most widely is dual-energy X-ray absorptiometry (DXA), which has advantages of low cost and radiation exposure, and high precision and accuracy of 1-2% and 4-8%, respectively [Garner, 1996 and Melton, 1990]. Based on the association between the low BMD and increased risk of fracture, BMD-based treatment guidelines have been developed [Melton, 1993 and National Osteoporosis Foundation, 1999]. There is, however, a considerable overlap between BMD of patients who sustain fragility fractures and those who do not [Cummings, 1993; Marshall, 1996; Melton, 1989; Ross, 1990 and Wasnich, 1990]. The problem arises because the fragility is determined not only by the quantity of the bone (measured as bone density), but also by its "quality" which is believed to be related to the preservation of the normal trabecular pattern [Parfitt, 1987]. Bone quality is not specifically assessed using current diagnostic methods. Information about bone quality, however, would be of substantial clinical and scientific value, as it would complement the BMD measurement when selecting patients for therapy and when studying bone loss or assessing effects of therapeutic agents.
Texture analysis:
A novel approach to noninvasive and practical assessment of bone structure is to analyze the texture of high resolution radiographs of trabecular bone [Link, 1999]. Dr. Giger has developed a method for characterizing bone structure by computerized texture analysis of digitized high-resolution radiographs [Jiang, 1999; Caligiuri, 1993; Caligiuri, 1994; Chinander, 1999 and Chinander, 2000]. In this approach, the texture is analyzed in several ways, including Fourier based analysis, which yields root mean square (RMS) as a measure of magnitude of trabecular bone texture pattern, and the first moment of power spectrum (FMP) which characterizes the texture pattern's frequency; and Minkowski dimension fractal analysis [Caligiuri, 1993; Chinander, 1999; Chinander, 2000; Benhamou, 1994; Jiang, 1999; Majumdar, 1993 and Maragos, 1994]. Radiographic texture analysis has been studied in vivo, on lumbar spine radiographs and found to predict presence of vertebral fractures elsewhere in the spine more reliably than did the BMD of the spine [Caligiuri, 1993 and Caligiuri, 1994;]. In addition, in an in vitro study texture features as well as BMD were analyzed in femoral neck specimens obtained during surgical hip replacement. Mechanical loading (crush test) was then performed on cubes of trabecular bone machined from these specimens to determine their bone strength. It was found that the combination of BMD and texture analysis predicted bone strength better than BMD alone [Jiang, 1999; Chinander, 1999 and Chinander, 2000].
Biochemical markers of bone turnover:
In studies of osteoporosis, the bone mass is assessed by measuring BMD while the metabolic activity of the bone is assessed by measuring the biochemical markers of bone turnover [Looker, 2000]. These markers have limited utility in individual patients because they have high within-person variability (low precision), and because it is not clear which markers are useful in which clinical situation [Looker, 2000 and Bauer, 1999]. In contrast, comparing biochemical markers between groups of patients in clinical studies has been found to be useful in two settings. Firstly, it has been found that high levels of biochemical markers of bone resorption predict fractures independent of BMD [Garnero, 1996 and van Daele, 1996]. Secondly, early changes in bone markers (at 3-6 months) during anti-resorptive therapy predict later changes in BMD and fracture rates [Ravin, 1999; Greenspan, 1998; Chesnut, 1997 and Bjarnason, 1997]. The mechanisms underlying these observations have not been elucidated to date. It is speculated that increased bone resorption, which is reflected in elevation of biochemical markers of bone turnover, increases fragility by weakening trabecular structure prior to or independent of measurable BMD changes. Similarly, decreased bone resorption during pharmacological therapy is likely to improve the trabecular structure before or independent of its effects on BMD. Since the aim of our research is to (indirectly) examine the trabecular structure by performing the radiographic texture analysis, we plan to determine whether the changes in biochemical markers of bone turnover during antiresorptive therapy will correlate with changes in the results of texture analysis.
Rationale for the study:
Anti-resorptive therapy reduces bone fragility and increases bone density. It is likely that the trabecular structure of the bone also changes during treatment. Peripheral densitometry has not been used so far to monitor response to therapy. If the combination of texture analysis and peripheral BMD change reproducibly during treatment it may be possible to employ this combination to monitor therapeutic response. In so doing, one could avoid the need to use the central densitometry and biochemical markers of bone turnover since the former is cumbersome while the latter suffers from low precision.
Potential advantages of using a portable peripheral densitometer: The texture analyses described above were developed for high-resolution radiographs, which were digitized and subjected to computer analysis. The new DXA imaging systems such as GE/Lunar PIXI which will be used in our research, provide digital images with resolution sufficient for computerized texture analysis (200 micron pixels). Furthermore, PIXI can generate the image in a shorter time (seconds vs. minutes) and at a fraction of radiation dose of conventional radiographs. Finally, since this is a portable densitometer, the methodology developed in this proposal has the potential to be widely applicable to large segments of the population, including frail elderly who have limited mobility and high prevalence of osteoporosis.
STUDY PROCEDURES
The studies will be performed in the outpatient facility of the University of Chicago. Every 3 months for the first 6 months and every 6 months for the remainder of 2 years, the subjects will come in the morning in the fasting state, provide a urine sample (second morning void) and blood sample for measurement of biochemical markers of bone turnover. Height and weight will be recorded at each visit, and any change in health status, including fractures ascertained. We will also assess other factors known to influence bone turnover, such as diet and physical activity. Every 12 months, the subjects will fill out Block food frequency questionnaire from Berkley Nutrition Services. In addition, every 6 months they will fill out a calcium intake questionnaire, which will be analyzed by the nutritionist and a short physical activity questionnaire, which was used in PEPI trial for assessment of physical activity. Medication compliance will be assessed by questioning the patients and counting the number of calcium and alendronate tablets remaining from the previous visit.
After these tests are completed, the subjects will go to the densitometry suite of the Endocrinology clinic where BMD will be measured and heel images obtained for texture analysis. The left heel will be scanned twice using the PIXI densitometer (GE/Lunar corporation) for measurement of BMD of the heel and texture analysis. (If there is a deformity of the left heel, right heel will be used for all examinations.) In addition, every 6 months, BMD of the lumbar spine and proximal femur will be measured using the central densitometer Prodigy (GE/Lunar corporation). The same instrument will be used for lateral vertebral assessment (a method used for detecting vertebral deformities on images of the lateral spine from the densitometer), which will be performed every 12 months.
- Conditions
- Osteoporosis, Osteopenia
- Being tested
- Alendronate, Calcium Citrate, Vitamin D
- Keywords
- osteoporosis, bone density, women, endocrine, musculoskeletal, metabolic
- Medical subject headings
- Osteoporosis, Bone Diseases, Metabolic
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AlendronateDrug
Also called fosamax
alendronate 70 mg once weekly
Calcium CitrateDietary supplement
600 mg of calcium citrate
Vitamin DDietary supplement
500 mg of Vitamin D consumed with the evening meal.
| Study group | Role | What they receive |
|---|---|---|
| Experimental | Experimental | All subjects will receive 600 mg of elemental calcium (as calcium citrate) and 500 mg of Vitamin D with their evening meal. This group will also receive alendronate 70 mg once weekly, according to standard recommendations. Receives: Drug: Alendronate; Dietary Supplement: Calcium Citrate; Dietary Supplement: Vitamin D |
| Control | Active comparator | All subjects will receive 600 mg of elemental calcium (as calcium citrate) and 500 mg of Vitamin D with their evening meal. Receives: Dietary Supplement: Calcium Citrate; Dietary Supplement: Vitamin D |
What is being measured
The primary outcome is the main question the study is designed to answer.
Changes in Lumbar Spine BMD +/- Treatment With Alendronate
Percent Change in lumbar spine BMD from Baseline to Month 24
Measured: Baseline to Month 24
Secondary outcomes (9)
Changes in Peripheral Heel BMD +/- Treatment With Alendronate
Percent Change in peripheral heel BMD from Baseline to Month 24
Measured: Baseline to Month 24
Changes in Femoral Neck BMD +/- Treatment With Alendronate
Percent Change in femoral neck BMD from Baseline to Month 24
Measured: Baseline to Month 24
Changes in Total Hip BMD +/- Treatment With Alendronate
Percent Change in total hip BMD from Baseline to Month 24
Measured: Baseline to Month 24
Changes in Radiographic Texture Analysis (RTA) Integrated Root Mean Square (iRMS) From Baseline to Month 24
Root Mean Square (RMS) is a measure of the variability in the radiographic texture pattern, the relative difference in the contrast between light and dark areas is expressed in a grayscale level. In practical terms, a bone image with a washed-out appearance due to loss of trabecular structure such as that seen in osteoporosis, will have a low value for RMS because there will be relatively little contrast between lighter and darker areas of the image. An image of a bone with strong trabecular structure will have a high RMS value because the contrast between the lighter and darker areas of the image will be greater.
To derive a measure of variability in the RMS in the region of interest in the bone image, the power spectrum is divided into 24 angular sectors at 15 degree intervals, and RMS is calculated for each segment. The iRMS (integrated RMS) roughly corresponds to RMS averaged across all 24 angular sectors
Measured: Baseline to Month 24
Changes in Radiographic Texture Analysis (RTA) Feature Standard Deviation of Root Mean Square (sdRMS) From Baseline to Month 24
Root Mean Square (RMS) is a measure of the variability in the radiographic texture pattern, the relative difference in the contrast between light and dark areas is expressed in a grayscale level. In practical terms, a bone image with a washed-out appearance due to loss of trabecular structure such as that seen in osteoporosis, will have a low value for RMS because there will be relatively little contrast between lighter and darker areas of the image. An image of a bone with strong trabecular structure will have a high RMS value because the contrast between the lighter and darker areas of the image will be greater.
To derive a measure of variability in the RMS in the region of interest of the bone image, the power spectrum is divided into 24 angular sectors at 15 degree intervals, and RMS is calculated for each segment. We use sdRMS (standard deviation of the RMS across the segments) as a measure of the direction dependence (anisotropy) of the trabeculae in the bone image.
Measured: Baseline to Month 24
Changes in Radiographic Texture Analysis (RTA) Feature Integrated First Moment of the Power Spectrum (iFMP) From Baseline to Month 24
To derive a measure of variability and directionality in the first moment of the power spectrum (FMP) in the region of interest of the bone image, the power spectrum is divided into 24 angular sectors at 15 degree intervals, and FMP is calculated for each segment. We use iFMP (integrated FMP) as a measure of overall special frequency of the radiographic pattern. FMP characterizes spatial frequency in the radiographic pattern and the underlying trabecular structure. This corresponds to the coarseness or fineness of the radiographic texture pattern. A high level of FMP indicates thin and closely spaced trabecular structure. Low FMP indicates widely spaced dark areas usually corresponding to a strong, thick trabecular structure.
Measured: Baseline to Month 24
Changes in Radiographic Texture Analysis (RTA) Minimum First Moment of the Power Spectrum (minFMP) From Baseline to Month 24
To derive a measure of variability and directionality in the first moment of the power spectrum (FMP) in the region of interest of the bone image, the power spectrum is divided into 24 angular sectors at 15 degree intervals and FMP is calculated for each segment. We use minFMP (minimum FMP) to represent the lowest value of FMP across the 24 angular sectors corresponding to the special frequency in the most washed-out direction. FMP characterizes spatial frequency in the radiographic pattern and the underlying trabecular structure. This corresponds to the coarseness or fineness of the radiographic texture pattern. A high level of FMP indicates thin and closely spaced trabecular structure. Low FMP indicates widely spaced dark areas usually corresponding to a strong, thick trabecular structure.
Measured: Baseline to Month 24
Changes in Radiographic Texture Analysis (RTA) Minkowski Fractal Dimension (MINK) From Baseline to Month 24
The Percent Change in Radiographic Texture Analysis (RTA) Minkowski Fractal Dimension (MINK) from Baseline to Month 24 is a description of the similarity of texture of the images at different magnifications. The Minkowski fractal dimension is calculated from the slope of the least -square fitted line relating log volume and log magnification.
Measured: Baseline to Month 24
Changes in Radiographic Texture Analysis (RTA) Spectral Density Coefficient Beta (BETA) From Baseline to Month 24
The Percent Change in Radiographic Texture Analysis (RTA) spectral density coefficient beta (BETA) from Baseline to Month 24 is an analysis of spectral density vs. the spacial frequency on a log-log plot. BETA is the coefficient (slope) of this plot. Higher values of beta correspond to rougher (strong bone) and lower values to smoother, higher-frequency texture pattern (washed out bone).
Measured: Baseline to Month 24
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Sep 2005 (estimated)
- Study startJul 2001
- Primary completionDec 2009
- Study completionDec 2009
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Publications (28)Papers the sponsor has linked to this study.
- Other trials for OsteoporosisStudies of the same condition, open and under way.
- More trials run by University of ChicagoThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Enrolment
- 36 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Chicago
- Sponsor type
- University, hospital or other
- Collaborators
- National Institutes of Health (NIH), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
- Responsible party
- Sponsor
- Investigators
- Tamara Vokes, MD, Principal investigator, University of Chicago
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT00145977
- Sponsor's protocol ID
- IRB# 11009B
- Other IDs
- NIH AR42739, NIH AR42739-S1, 1K23AR048205
- Status last verified
- Aug 2018
- First submitted
- 1 Sep 2005
- Last updated
- 11 Sep 2018
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- Individual data sharing
- No
Publications
Genant HK, Engelke K, Fuerst T, Gluer CC, Grampp S, Harris ST, Jergas M, Lang T, Lu Y, Majumdar S, Mathur A, Takada M. Noninvasive assessment of bone mineral and structure: state of the art. J Bone Miner Res. 1996 Jun;11(6):707-30. doi: 10.1002/jbmr.5650110602. No abstract available.
PubMed 8725168Melton LJ 3rd, Eddy DM, Johnston CC Jr. Screening for osteoporosis. Ann Intern Med. 1990 Apr 1;112(7):516-28. doi: 10.7326/0003-4819-112-7-516.
PubMed 2180356Melton LJ 3rd, Atkinson EJ, O'Fallon WM, Wahner HW, Riggs BL. Long-term fracture prediction by bone mineral assessed at different skeletal sites. J Bone Miner Res. 1993 Oct;8(10):1227-33. doi: 10.1002/jbmr.5650081010.
PubMed 8256660National Osteoporosis Foundation: Physicians guide to prevention and treatment of osteoporosis, . 1999, Exerpta Medica, Inc.: Belle Mead, New Jersey.
Cummings SR, Black DM, Nevitt MC, Browner W, Cauley J, Ensrud K, Genant HK, Palermo L, Scott J, Vogt TM. Bone density at various sites for prediction of hip fractures. The Study of Osteoporotic Fractures Research Group. Lancet. 1993 Jan 9;341(8837):72-5. doi: 10.1016/0140-6736(93)92555-8.
PubMed 8093403Marshall D, Johnell O, Wedel H. Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ. 1996 May 18;312(7041):1254-9. doi: 10.1136/bmj.312.7041.1254.
PubMed 8634613Melton LJ 3rd, Kan SH, Frye MA, Wahner HW, O'Fallon WM, Riggs BL. Epidemiology of vertebral fractures in women. Am J Epidemiol. 1989 May;129(5):1000-11. doi: 10.1093/oxfordjournals.aje.a115204.
PubMed 2784934Ross PD, Wasnich RD, Davis JW. Fracture prediction models for osteoporosis prevention. Bone. 1990;11(5):327-31. doi: 10.1016/8756-3282(90)90088-g.
PubMed 2123644Wasnich RD, Davis JW, Ross PD. Appropriate clinical application of bone density measurements. J Am Med Womens Assoc (1972). 1990 May-Jun;45(3):99-102.
PubMed 2335697Parfitt AM. Trabecular bone architecture in the pathogenesis and prevention of fracture. Am J Med. 1987 Jan 26;82(1B):68-72. doi: 10.1016/0002-9343(87)90274-9.
PubMed 3544835Link TM, Majumdar S, Grampp S, Guglielmi G, van Kuijk C, Imhof H, Glueer C, Adams JE. Imaging of trabecular bone structure in osteoporosis. Eur Radiol. 1999;9(9):1781-8. doi: 10.1007/s003300050922.
PubMed 10602950Jiang C, Giger ML, Chinander MR, Martell JM, Kwak S, Favus MJ. Characterization of bone quality using computer-extracted radiographic features. Med Phys. 1999 Jun;26(6):872-9. doi: 10.1118/1.598604.
PubMed 10436887Caligiuri P, Giger ML, Favus MJ, Jia H, Doi K, Dixon LB. Computerized radiographic analysis of osteoporosis: preliminary evaluation. Radiology. 1993 Feb;186(2):471-4. doi: 10.1148/radiology.186.2.8421753.
PubMed 8421753Caligiuri P, Giger ML, Favus M. Multifractal radiographic analysis of osteoporosis. Med Phys. 1994 Apr;21(4):503-8. doi: 10.1118/1.597390.
PubMed 8058015Chinander MR, Giger ML, Martell JM, Jiang C, Favus MJ. Computerized radiographic texture measures for characterizing bone strength: a simulated clinical setup using femoral neck specimens. Med Phys. 1999 Nov;26(11):2295-300. doi: 10.1118/1.598743.
PubMed 10587210
Study at a glance
From the registry record, last updated by the sponsor on 11 Sep 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Changes in Bone Density, Radiographic Texture Analysis and Bone Turnover During Two Years of Antiresorptive Therapy for Postmenopausal Osteoporosis
- ClinicalTrials.gov ID
- NCT00145977
- Acronym / sponsor ID
- IRB# 11009B
- Conditions
- Osteoporosis, Osteopenia
- Keywords
- osteoporosis, bone density, women, endocrine, musculoskeletal, metabolic
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 36 participants (actual)
- Lead sponsor
- University of ChicagoUniversity, hospital or other
- Collaborators
- National Institutes of Health (NIH), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
- Study start
- Jul 2001
- Primary completion
- Dec 2009 (actual)
- Study completion
- Dec 2009 (actual)
- First posted
- 5 Sep 2005 (estimated)
- Results
- Posted 11 Sep 2018
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The purpose of this study is to determine if a new test for osteoporosis can be useful in monitoring treatment. We are studying a new method for examining the quality of bone by an experimental method of computerized analysis of radiographic images (x-ray pictures) of the heel.
Detailed description
The study proposed in this application is a part of a larger project entitled "Clinical utility of radiographic texture analysis in diagnosing and treating osteoporosis". The overall goal of the larger project is to determine whether computerized texture analysis of digitized high-resolution images of trabecular bone (texture analysis) improves our ability to diagnose bone fragility and follow natural history and/or response to pharmacological therapy of osteoporosis. In the study proposed here we plan to examine changes in the results of texture analysis during two years of pharmacological therapy for osteoporosis.
Role of densitometry in osteoporosis:
Measurement of bone mineral density is the principal diagnostic method used in clinical practice and in research studies, both to identify patients who have the disease and to follow their response to therapeutic agents. The technique used most widely is dual-energy X-ray absorptiometry (DXA), which has advantages of low cost and radiation exposure, and high precision and accuracy of 1-2% and 4-8%, respectively [Garner, 1996 and Melton, 1990]. Based on the association between the low BMD and increased risk of fracture, BMD-based treatment guidelines have been developed [Melton, 1993 and National Osteoporosis Foundation, 1999]. There is, however, a considerable overlap between BMD of patients who sustain fragility fractures and those who do not [Cummings, 1993; Marshall, 1996; Melton, 1989; Ross, 1990 and Wasnich, 1990]. The problem arises because the fragility is determined not only by the quantity of the bone (measured as bone density), but also by its "quality" which is believed to be related to the preservation of the normal trabecular pattern [Parfitt, 1987]. Bone quality is not specifically assessed using current diagnostic methods. Information about bone quality, however, would be of substantial clinical and scientific value, as it would complement the BMD measurement when selecting patients for therapy and when studying bone loss or assessing effects of therapeutic agents.
Texture analysis:
A novel approach to noninvasive and practical assessment of bone structure is to analyze the texture of high resolution radiographs of trabecular bone [Link, 1999]. Dr. Giger has developed a method for characterizing bone structure by computerized texture analysis of digitized high-resolution radiographs [Jiang, 1999; Caligiuri, 1993; Caligiuri, 1994; Chinander, 1999 and Chinander, 2000]. In this approach, the texture is analyzed in several ways, including Fourier based analysis, which yields root mean square (RMS) as a measure of magnitude of trabecular bone texture pattern, and the first moment of power spectrum (FMP) which characterizes the texture pattern's frequency; and Minkowski dimension fractal analysis [Caligiuri, 1993; Chinander, 1999; Chinander, 2000; Benhamou, 1994; Jiang, 1999; Majumdar, 1993 and Maragos, 1994]. Radiographic texture analysis has been studied in vivo, on lumbar spine radiographs and found to predict presence of vertebral fractures elsewhere in the spine more reliably than did the BMD of the spine [Caligiuri, 1993 and Caligiuri, 1994;]. In addition, in an in vitro study texture features as well as BMD were analyzed in femoral neck specimens obtained during surgical hip replacement. Mechanical loading (crush test) was then performed on cubes of trabecular bone machined from these specimens to determine their bone strength. It was found that the combination of BMD and texture analysis predicted bone strength better than BMD alone [Jiang, 1999; Chinander, 1999 and Chinander, 2000].
Biochemical markers of bone turnover:
In studies of osteoporosis, the bone mass is assessed by measuring BMD while the metabolic activity of the bone is assessed by measuring the biochemical markers of bone turnover [Looker, 2000]. These markers have limited utility in individual patients because they have high within-person variability (low precision), and because it is not clear which markers are useful in which clinical situation [Looker, 2000 and Bauer, 1999]. In contrast, comparing biochemical markers between groups of patients in clinical studies has been found to be useful in two settings. Firstly, it has been found that high levels of biochemical markers of bone resorption predict fractures independent of BMD [Garnero, 1996 and van Daele, 1996]. Secondly, early changes in bone markers (at 3-6 months) during anti-resorptive therapy predict later changes in BMD and fracture rates [Ravin, 1999; Greenspan, 1998; Chesnut, 1997 and Bjarnason, 1997]. The mechanisms underlying these observations have not been elucidated to date. It is speculated that increased bone resorption, which is reflected in elevation of biochemical markers of bone turnover, increases fragility by weakening trabecular structure prior to or independent of measurable BMD changes. Similarly, decreased bone resorption during pharmacological therapy is likely to improve the trabecular structure before or independent of its effects on BMD. Since the aim of our research is to (indirectly) examine the trabecular structure by performing the radiographic texture analysis, we plan to determine whether the changes in biochemical markers of bone turnover during antiresorptive therapy will correlate with changes in the results of texture analysis.
Rationale for the study:
Anti-resorptive therapy reduces bone fragility and increases bone density. It is likely that the trabecular structure of the bone also changes during treatment. Peripheral densitometry has not been used so far to monitor response to therapy. If the combination of texture analysis and peripheral BMD change reproducibly during treatment it may be possible to employ this combination to monitor therapeutic response. In so doing, one could avoid the need to use the central densitometry and biochemical markers of bone turnover since the former is cumbersome while the latter suffers from low precision.
Potential advantages of using a portable peripheral densitometer: The texture analyses described above were developed for high-resolution radiographs, which were digitized and subjected to computer analysis. The new DXA imaging systems such as GE/Lunar PIXI which will be used in our research, provide digital images with resolution sufficient for computerized texture analysis (200 micron pixels). Furthermore, PIXI can generate the image in a shorter time (seconds vs. minutes) and at a fraction of radiation dose of conventional radiographs. Finally, since this is a portable densitometer, the methodology developed in this proposal has the potential to be widely applicable to large segments of the population, including frail elderly who have limited mobility and high prevalence of osteoporosis.
STUDY PROCEDURES
The studies will be performed in the outpatient facility of the University of Chicago. Every 3 months for the first 6 months and every 6 months for the remainder of 2 years, the subjects will come in the morning in the fasting state, provide a urine sample (second morning void) and blood sample for measurement of biochemical markers of bone turnover. Height and weight will be recorded at each visit, and any change in health status, including fractures ascertained. We will also assess other factors known to influence bone turnover, such as diet and physical activity. Every 12 months, the subjects will fill out Block food frequency questionnaire from Berkley Nutrition Services. In addition, every 6 months they will fill out a calcium intake questionnaire, which will be analyzed by the nutritionist and a short physical activity questionnaire, which was used in PEPI trial for assessment of physical activity. Medication compliance will be assessed by questioning the patients and counting the number of calcium and alendronate tablets remaining from the previous visit.
After these tests are completed, the subjects will go to the densitometry suite of the Endocrinology clinic where BMD will be measured and heel images obtained for texture analysis. The left heel will be scanned twice using the PIXI densitometer (GE/Lunar corporation) for measurement of BMD of the heel and texture analysis. (If there is a deformity of the left heel, right heel will be used for all examinations.) In addition, every 6 months, BMD of the lumbar spine and proximal femur will be measured using the central densitometer Prodigy (GE/Lunar corporation). The same instrument will be used for lateral vertebral assessment (a method used for detecting vertebral deformities on images of the lateral spine from the densitometer), which will be performed every 12 months.
Study design
- Primary purpose
- Treatment
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Experimental | Experimental | Drug: Alendronate, Dietary Supplement: Calcium Citrate, Dietary Supplement: Vitamin DAll subjects will receive 600 mg of elemental calcium (as calcium citrate) and 500 mg of Vitamin D with their evening meal. This group will also receive alendronate 70 mg once weekly, according to standard recommendations. |
| Control | Active comparator | Dietary Supplement: Calcium Citrate, Dietary Supplement: Vitamin DAll subjects will receive 600 mg of elemental calcium (as calcium citrate) and 500 mg of Vitamin D with their evening meal. |
Who may qualify
- Ages
- 59 years and older
- Sex
- Female only
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- The study will enroll 40 postmenopausal women with a T score < -2 either at the lumbar spine or the femoral neck: 20 who decide to begin anti-resorptive therapy (treated group), and 20 women who decline such therapy (control group). We will attempt to match the patients and the controls for T score (within 0.3) and age (within 5 years).
- All study participants will be:
Key exclusion criteria (2 listed)
- All study participants will not be on bisphosphonates during the previous 12 months.
- Women with secondary causes of osteoporosis will be excluded.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AlendronateAlso: fosamaxalendronate 70 mg once weekly | Drug | Experimental |
| Calcium Citrate600 mg of calcium citrate | Dietary supplement | Control, Experimental |
| Vitamin D500 mg of Vitamin D consumed with the evening meal. | Dietary supplement | Control, Experimental |
Primary outcome
Changes in Lumbar Spine BMD +/- Treatment With Alendronate
Time frame: Baseline to Month 24
Percent Change in lumbar spine BMD from Baseline to Month 24
9 secondary outcomes
Changes in Peripheral Heel BMD +/- Treatment With Alendronate
Time frame: Baseline to Month 24
Changes in Femoral Neck BMD +/- Treatment With Alendronate
Time frame: Baseline to Month 24
Changes in Total Hip BMD +/- Treatment With Alendronate
Time frame: Baseline to Month 24
Changes in Radiographic Texture Analysis (RTA) Integrated Root Mean Square (iRMS) From Baseline to Month 24
Time frame: Baseline to Month 24
Changes in Radiographic Texture Analysis (RTA) Feature Standard Deviation of Root Mean Square (sdRMS) From Baseline to Month 24
Time frame: Baseline to Month 24
Changes in Radiographic Texture Analysis (RTA) Feature Integrated First Moment of the Power Spectrum (iFMP) From Baseline to Month 24
Time frame: Baseline to Month 24
Changes in Radiographic Texture Analysis (RTA) Minimum First Moment of the Power Spectrum (minFMP) From Baseline to Month 24
Time frame: Baseline to Month 24
Changes in Radiographic Texture Analysis (RTA) Minkowski Fractal Dimension (MINK) From Baseline to Month 24
Time frame: Baseline to Month 24
Changes in Radiographic Texture Analysis (RTA) Spectral Density Coefficient Beta (BETA) From Baseline to Month 24
Time frame: Baseline to Month 24
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 11 Sep 2018.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Background: PubMed 8725168Genant HK, Engelke K, Fuerst T, Gluer CC, Grampp S, Harris ST, Jergas M, Lang T, Lu Y, Majumdar S, Mathur A, Takada M. Noninvasive assessment of bone mineral and structure: state of the art. J Bone Miner Res. 1996 Jun;11(6):707-30. doi: 10.1002/jbmr.5650110602. No abstract available.
- Background: PubMed 2180356Melton LJ 3rd, Eddy DM, Johnston CC Jr. Screening for osteoporosis. Ann Intern Med. 1990 Apr 1;112(7):516-28. doi: 10.7326/0003-4819-112-7-516.
- Background: PubMed 8256660Melton LJ 3rd, Atkinson EJ, O'Fallon WM, Wahner HW, Riggs BL. Long-term fracture prediction by bone mineral assessed at different skeletal sites. J Bone Miner Res. 1993 Oct;8(10):1227-33. doi: 10.1002/jbmr.5650081010.
- BackgroundNational Osteoporosis Foundation: Physicians guide to prevention and treatment of osteoporosis, . 1999, Exerpta Medica, Inc.: Belle Mead, New Jersey.
- Background: PubMed 8093403Cummings SR, Black DM, Nevitt MC, Browner W, Cauley J, Ensrud K, Genant HK, Palermo L, Scott J, Vogt TM. Bone density at various sites for prediction of hip fractures. The Study of Osteoporotic Fractures Research Group. Lancet. 1993 Jan 9;341(8837):72-5. doi: 10.1016/0140-6736(93)92555-8.
- Background: PubMed 8634613Marshall D, Johnell O, Wedel H. Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. BMJ. 1996 May 18;312(7041):1254-9. doi: 10.1136/bmj.312.7041.1254.
- Background: PubMed 2784934Melton LJ 3rd, Kan SH, Frye MA, Wahner HW, O'Fallon WM, Riggs BL. Epidemiology of vertebral fractures in women. Am J Epidemiol. 1989 May;129(5):1000-11. doi: 10.1093/oxfordjournals.aje.a115204.
- Background: PubMed 2123644Ross PD, Wasnich RD, Davis JW. Fracture prediction models for osteoporosis prevention. Bone. 1990;11(5):327-31. doi: 10.1016/8756-3282(90)90088-g.
- Background: PubMed 2335697Wasnich RD, Davis JW, Ross PD. Appropriate clinical application of bone density measurements. J Am Med Womens Assoc (1972). 1990 May-Jun;45(3):99-102.
- Background: PubMed 3544835Parfitt AM. Trabecular bone architecture in the pathogenesis and prevention of fracture. Am J Med. 1987 Jan 26;82(1B):68-72. doi: 10.1016/0002-9343(87)90274-9.
- Background: PubMed 10602950Link TM, Majumdar S, Grampp S, Guglielmi G, van Kuijk C, Imhof H, Glueer C, Adams JE. Imaging of trabecular bone structure in osteoporosis. Eur Radiol. 1999;9(9):1781-8. doi: 10.1007/s003300050922.
- Background: PubMed 10436887Jiang C, Giger ML, Chinander MR, Martell JM, Kwak S, Favus MJ. Characterization of bone quality using computer-extracted radiographic features. Med Phys. 1999 Jun;26(6):872-9. doi: 10.1118/1.598604.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Tamara Vokes, MD principal investigator
University of Chicago
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Alendronate, Calcium Citrate and Vitamin D in people with Osteoporosis and Osteopenia, run by University of Chicago at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 2 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 11 Sep 2018. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 11 Sep 2018). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Changes in Lumbar Spine BMD +/- Treatment With Alendronate (time frame: Baseline to Month 24). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT00145977, which also lists 28 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 11 Sep 2018.