[Characteristics of the Z-resolution Measurement in the Digital Breast Tomosynthesis].

PURPOSE: Digital breast tomosynthesis (DBT) offers a choice of image acquisition conditions. The object of observation is the entire detector in the full depth (Z-axis) direction. In this study, we investigated the effect of each acquisition condition on Z-resolution with a micro-metallic sphere (bead) as an imaged object in DBT images. METHOD: DBT images were acquired in two imaging modes with different angular ranges, varying with the height of the bead, the bead placement position, and the bead diameter. The depth profile of the bead image was obtained, and the Z-resolution was defined by its full width at half maximum. The Z-resolution was compared with each acquisition condition. RESULT: The Z-resolution values decreased with increasing height from the breast support and decreasing bead diameter. The Z-resolution values were larger at the edges than at the detector center. CONCLUSION: This study shows that the bead diameter and the geometry of the bead and detector affect the Z-resolution measurement.

[Retrospective Study of Image Quality in Pediatric Cardiac Cine MRI].

In pediatric cardiac cine magnetic resonance imaging (MRI), it must overcome several challenges including the patient's size and higher heart rate. The aim of this study was to retrospectively evaluate imaging optimization. Cardiac cine MRI data from 24 patients was analyzed (age range: 3 months-10 years, average age: 5 years, male/female: 11/13, R-R interval: 450±4 to 819±7 ms). About 11 cases out of 24 have good image quality. For small variations in the R-R interval and higher temporal resolution improved image quality with significant difference (P<0.05, Mann-Whitney U-test). In this study, values of temporal resolution <30 ms yielded good image quality for heart rates over 100 bpm. On the other hands, the factors dependent on the patient like heart rate and ejection fraction have no significant difference. The segmentation of data acquisition is more significant than recording small fields of view or thin slices for infantile and pediatric cardiac cine MRI. Similar to adult cases, variations in heart rate affect the image quality; however, we demonstrated that using segmentation of data acquisition results in improved image quality.

Risk Factors for Low Bone Mineral Density Determined in Patients in a General Practice Setting.

Osteoporosis increases the risk of bone fractures. It is diagnosed based on an individual's bone mineral density (BMD) or a fracture without trauma. BMD is usually measured by the dual energy X-ray absorptiometry (DXA) method. Here we investigated factors for the earliest possible prediction of decreased BMD by examining the relationships between patients' BMD values and changes in the patients' physical and laboratory values. We retrospectively reviewed the medical records of 149 patients who visited our department in 2014-2015 for a variety of reasons and underwent an area BMD examination by DXA. We analyzed the relationships between decreasing BMD and the patients' gender, age, body mass index (BMI), medical background, hemoglobin, electrolytes, and thyroid function. Thirty-nine of the patients were diagnosed with osteoporosis based on their T-scores. An adjusted analysis showed that female gender, aging, and increased serum calcium level were significantly related to decreasing femoral BMD, whereas high BMI was associated with an increase in femoral BMD. Collectively the results indicate that for the early detection of low BMD, it is important for general-practice physicians to consider conducting a BMD checkup when treating female and elderly patients with a low BMI and/or elevated serum calcium level.

Assessment of alveolar bone mineral density as a predictor of lumbar fracture probability.

INTRODUCTION: Osteoporosis and tooth loss have been linked with advancing age, but no clear relationship between these conditions has been proven. Several studies of bone mineral density measurements of the jaw and spine have shown similarities in their rate of age-related deterioration. Thus, measurements of jawbone density may predict lumbar vertebral bone density. Using jawbone density as a proxy marker would circumvent the need for lumbar bone measurements and facilitate prediction of osteoporotic spinal fracture susceptibility at dental clinics. We aimed to characterize the correlation between bone density in the jaw and spine and the incidence of osteoporotic spinal fractures. METHODS: We used computerized radiogrammetry to measure alveolar bone mineral density (al-BMD) and dual-energy X-ray absorptiometry to measure lumbar bone mineral density (L-BMD). L-BMD and al-BMD in 30 female patients (average age: 59 ± 5 years) were correlated with various patient attributes. Statistical analysis included area under the curve (AUC) and probability of asymptomatic significance (PAS) in a receiver operating characteristic curve. The predictive strength of L-BMD T-scores (L-BMD[T]) and al-BMD measurements for fracture occurrence was then compared using multivariate analysis with category weight scoring. RESULTS: L-BMD and al-BMD were significantly correlated with age, years since menopause, and alveolar bone thickness. Both were also negatively correlated with fracture incidence. Category weight scores were -0.275 for a L-BMD(T) <80%; +0.183 for a L-BMD(T) ≥ 80%; -0.860 for al-BMD <84.9 (brightness); and +0.860 for al-BMD ≥ 84.9. AUC and PAS analyses suggested that al-BMD had a higher association with fracture occurrence than L-BMD. CONCLUSIONS: Our results suggest the possible association between al-BMD and vertebral fracture risk. Assessment of alveolar bone density may be useful in patients receiving routine dental exams to monitor the clinical picture and the potential course of osteoporosis in patients who may be at a higher risk of developing osteoporosis.

Multiple regression analysis for grading and prognosis of cubital tunnel syndrome: assessment of Akahori's classification.

The purpose of this study was to quantitatively evaluate Akahori's preoperative classification of cubital tunnel syndrome. We analyzed the results for 57 elbows that were treated by a simple decompression procedure from 1997 to 2004. The relationship between each item of Akahori's preoperative classification and clinical stage was investigated based on the parameter distribution. We evaluated Akahori's classification system using multiple regression analysis, and investigated the association between the stage and treatment results. The usefulness of the regression equation was evaluated by analysis of variance of the expected and observed scores. In the parameter distribution, each item of Akahori's classification was mostly associated with the stage, but it was difficult to judge the severity of palsy. In the mathematical evaluation, the most effective item in determining the stage was sensory conduction velocity. It was demonstrated that the established regression equation was highly reliable (R = 0.922). Akahori's preoperative classification can also be used in postoperative classification, and this classification was correlated with postoperative prognosis. Our results indicate that Akahori's preoperative classification is a suitable system. It is reliable, reproducible and well-correlated with the postoperative prognosis. In addition, the established prediction formula is useful to reduce the diagnostic complexity of Akahori's classification.

Infant hip joint diagnostic support system based on clinical manifestations in X-ray images.

Plain X-ray radiography is frequently used for the diagnosis of developmental dislocation of the hip (DDH). The aim of this study was to construct a diagnostic support system for DDH based on clinical findings obtained from the X-ray images of 154 female infants with confirmed diagnoses made by orthopedists. The data for these subjects were divided into 2 groups. The Min-Max method of nonlinear analysis was applied to the data from Group 1 to construct the diagnostic support system based on the measurement of 4 items in X-ray images:the outward displacement rate, upward displacement rate, OE angle, and alpha angle. This system was then applied to the data from Group 2, and the results were compared between the 2 groups to verify the reliability of the system. We obtained good results that matched the confirmed diagnoses of orthopedists with an accuracy of 85.9%.