Fractal lacunarity of trabecular bone in vertebral MRI to predict osteoporotic fracture risk in over-fifties women. The LOTO study.

BACKGROUND: Osteoporotic fractures are a major cause of morbidity in the elderly. Menopausal women represent the population with the highest risk of early osteoporosis onset, often accompanied by vertebral fractures (VF). Bone mineral density (BMD) is commonly assessed by dual-energy X-ray absorptiometry (DXA) for osteoporosis diagnosis; however, BMD alone does not represent a significant predictor of fracture risk. Bone microarchitecture, instead, arises as a determinant of bone fragility independent of BMD. High-resolution magnetic resonance imaging (MRI) is an effective noninvasive/nonionizing tool for in vivo characterisation of trabecular bone microarchitecture (TBA). We have previously set up an MRI method able to characterise TBA changes in aging and osteoporosis by one parameter, trabecular bone lacunarity parameter ß (TBLß). Fractal lacunarity was used for TBA texture analysis as it describes discontinuity of bone network and size of bone marrow spaces, changes of which increase the risk of bone fracture. This study aims to assess the potential of TBLß method as a tool for osteoporotic fracture risk. METHODS: An observational, cross-sectional, and prospective study on over-50s women at risk for VF was designed. TBLß, our index of osteoporotic fracture risk, is the main outcome measure. It was calculated on lumbar vertebra axial images, acquired by 1.5 T MRI spin-echo technique, from 279 osteopenic/osteoporotic women with/without prior VF. Diagnostic power of TBLß method, by Receiver Operating Characteristics (ROC) curve and other diagnostic accuracy measurements were compared with lumbar spine DXA-BMD. RESULTS: Baseline results show that TBLß is able to discriminate patients with/without prevalent VF (p = 0.003). AUC (area under the curve from ROC) is 0.63 for TBLß, statistically higher (p = 0.012) than BMD one (0.53). Contribution of TBLß to prevalent VF is statistically higher (p < 0.001) than BMD (sensitivity: 66% vs. 52% respectively; OR: 3.20, p < 0.0001 for TBLß vs. 1.31, p = 0.297 for BMD). Preliminary 1-year prospective results suggest that TBA contribution to incident VF is even higher (sensitivity: 73% for TBLß vs. 55% for BMD; RR: 3.00, p = 0.002 for TBLß vs. 1.31, p = 0.380 for BMD). CONCLUSION: Results from this study further highlight the usefulness of TBLß as a biomarker of TBA degeneration and an index of osteoporotic fracture risk.

Measuring Drug Therapy Effect on Osteoporotic Fracture Risk by Trabecular Bone Lacunarity: The LOTO Study.

An MRI method providing one parameter (TBLß: trabecular-bone-lacunarity-parameter-ß) that is sensitive to trabecular bone architecture (TBA) changes with aging and osteoporosis is under study as a new tool in the early diagnosis of bone fragility fracture. A cross-sectional and prospective observational study (LOTO: Lacunarity Of Trabecular bone in Osteoporosis) on over-50s women, at risk for bone fragility fracture, was designed to validate the method. From the baseline data, we observed that in women with prevalent vertebral fractures (VF+), TBA was differently characterized by TBLß when osteoporosis treatment is considered. Here we verify the potential of TBLß as an index of osteoporosis treatment efficacy. Untreated (N = 156) and treated (N = 123) women were considered to assess differences in TBLß related to osteoporosis treatment. Prevalent VFs were found in 31% of subjects, 63% of which were under osteoporosis medications. The results show that TBLß discriminates between VF+ and VF- patients (p = 0.004). This result is mostly stressed in untreated subjects. Treatment, drug therapy in particular (89% Bisphosphonates), significantly counteracts the difference between VF+ and VF- within and between groups: TBLß values in treated patients are comparable to untreated VF- and statistically higher than untreated VF+ (p = 0.014) ones. These results highlight the potential role of TBLß as an index of treatment efficacy.

Acceptability and Preliminary Results of Technology-Assisted Balance Training in Parkinson's Disease.

(1) Background: Parkinson's Disease (PD) is one of the most common causes of disability among older individuals. The advanced stages of PD are usually characterized by postural instability and, as a consequence, falls. Those are among the main factors that determine the quality of life, as well as the morbidity and mortality of a person with PD. In the field of PD rehabilitation, robotics is also rapidly gaining ground. As a primary aim, we evaluate the acceptability of the technology integrated intervention, using the Psychosocial Impact of Assistive Devices Scale (PIADS), in order to analyze the attitude of the participants towards the Tymo® system. As a secondary outcome, we assess the result of the rehabilitation treatment integrated with the Tymo® system on several patient's features. (2) Methods: We studied a population of 16 patients with Parkinson's Disease. Each recruited subject completed 10 treatment sessions, organized as two training sessions per week, for 5 weeks. The intervention included 30 min of traditional therapy and 20 min of technological treatment with a robotic system. PIADS is composed of three subscales (Competence subscale, Adaptability subscale, Self-esteem subscale) ranging from -3 to +3, reflecting, respectively, a negative or positive feeling towards the device. (3) Results: The Competence subscale, measuring feelings of competence and usefulness, obtained a score of 1.24 (SD = 0.78). The score of Adaptability subscale, indicating a willingness to try out new things and to take risks, was 1.83 (SD = 0.65). Finally, the Self-esteem subscale, indicating feelings of emotional health and happiness, reached a score of 1.31 (SD = 0.72). Moreover, statistical analysis reveals a significant effect on balance performance after intervention. (4) Conclusions: This feasibility study represents a starting point in the use of technology in the rehabilitation pathway of patients affected by Parkinson's Disease. In fact, our results suggest that a standard therapy combined with an innovative treatment using Tymo® may be accepted by PD patients, which may benefit especially from preserving balance.

The Effect of Non-Immersive Virtual Reality Exergames versus Traditional Physiotherapy in Parkinson's Disease Older Patients: Preliminary Results from a Randomized-Controlled Trial.

(1) Background: Parkinson's disease (PD) is one of the most frequent causes of disability among older people. Recently, virtual reality and exergaming have been emerged as promising tools for gait and balance rehabilitation in PD patients. Our purpose is to evaluate an innovative treatment for older patients with PD, based on non-immersive virtual reality exergames, improving gait and balance and reducing falling risk. (2) Methods: Thirty PD patients were recruited and randomly divided into two groups, to receive a traditional rehabilitation (CG) or a technological rehabilitation (TG). (3) Results: A statistical improvement of balance at the end of treatments was observed in both groups (CG: 12.4 ± 0.7 vs. 13.5 ± 0.8, p = 0.017; TG: 13.8 ± 0.5 vs. 14.7 ± 0.4, p = 0.004), while the overall risk of falling was significantly reduced only in the TG (POMA Total: 24.6 ± 0.9 vs. 25.9 ± 0.7, p = 0.010). The results between groups shows that all POMA scores differ in a statistically significant manner in the TG, emphasizing improvement not only in balance but also in gait characteristics (9.7 ± 0.8 vs. 11.4 ± 0.2, p = 0.003). Moreover, TG also improves the psychological sphere, measured thorough MSC-(17.1 ± 0.4 vs. 16.5 ± 0.4, p = 0.034). Although an improvement in FES-I and Gait Speed can be observed, this increase does not turn out to be significant. (4) Conclusions: Results suggest how non-immersive virtual reality exergaming technology offers the opportunity to effectively train cognitive and physical domains at the same time.

The burden of prevalent fractures on health-related quality of life in postmenopausal women with osteoporosis: the IMOF study.

OBJECTIVE: Vertebral fractures are a common complication of osteoporosis and may have a negative effect on health-related quality of life (HRQOL). We investigated the effect of prevalent vertebral fractures on HRQOL in patients with osteoporosis. METHODS: A cross-sectional multicenter study was carried out among postmenopausal women with primary osteoporosis attending primary care centers and hospital outpatient clinics: 234 women with vertebral fractures and 244 asymptomatic women. Women with secondary osteoporosis or taking medications that affect bone metabolism were excluded. All patients were questioned using the mini-Osteoporosis Quality of Life Questionnaire (mini-OQLQ), Medical Outcomes Study Short Form-36 (SF-36), and the EuroQuol-5D, after assessment of all clinical variables and anthropometric data. To assess comorbidity we used the Self-Administered Comorbidity Questionnaire (SCQ). Diagnosis of osteoporosis was confirmed in all patients by bone mineral density using dual energy x-ray absorptiometry. Radiographic evaluation was performed by a musculoskeletal radiologist. A total of 483 postmenopausal women, randomly matched for age out of 1579 healthy controls, were chosen to compare the SF-36 scores with respect to patients with and without vertebral fractures due to osteoporosis. A multivariable regression analysis was conducted to identify the strongest determinant for low HRQOL, adjusted for potential confounding variables such as comorbid conditions, education level, and psychosocial status. RESULTS: The vertebral fracture group had significantly lower scores than patients without fractures and controls in all domains of the generic and specific questionnaires. Women with only 1 prevalent fracture had statistically significantly lower HRQOL scores than those without fractures on SF-36 measures of bodily pain, physical functioning, and role function physical (all p < 0.01). HRQOL scores were lower in women with lumbar fractures compared with women with thoracic fractures only when the physical functioning and bodily pain dimensions approached statistical significance. Based on the multivariate analysis, the strongest determinant for low HRQOL was physical functioning (explained by number of vertebral fractures) followed by comorbidity score and age. Adjusted R2 in the final model was 35.9%. Using the SF-36 summary scales, comorbid conditions predominantly affected either mental or physical health (p < 0.0001). A significant correlation (p <0.0001) was found between total score on the mini-OQLQ and the mean SCQ comorbidity score. CONCLUSION: Our results confirm previous findings that HRQOL, assessed by generic and osteoporosis-specific instruments, is decreased in patients with vertebral fractures due to osteoporosis as a function of the number of vertebral fractures, presence of comorbid conditions, and age.