Performance and usefulness evaluation of a software-based scatter correction technique for mammographic images.

Although physical grids improve contrast in radiographic images by reducing scattered radiation, various artifacts such as grid shadow, moire, and cutoff result in increased patient doses. To overcome these problems, this study evaluates the applicability and usefulness of a material thickness-based scatter-correction technique for mammography. Specifically, this study aims to compare and evaluate the performance of mammography using the proposed software-based scatter correction framework and a physical grid. The proposed technique enables scatter correction based on pre-calculated parameters of a thickness-based scatter kernel at a water slab phantom and an empirical quantity of scatter components in a mammographic system. In the Monte Carlo simulation and experiment, the proposed framework displayed an intensity profile and full width at half maximum that closely approximated those seen in the physical grid. In addition, by applying the proposed framework to the ACR phantom, it was verified that all structures, including specks, were distinctly distinguished. The results demonstrate that the X-ray scatter-correction method with a software-based framework for mammography is applicable to the field of diagnostic imaging, as this approach yields image quality equivalent to that achieved with physical grids while also enabling a reduction in radiation doses for patients.

Korean version of the Fatigue, Resistance, Ambulation, Illnesses and Loss of weight questionnaire versus the Modified Kihon Checklist for Frailty Screening in Community-Dwelling Older Adults: The Aging Study of PyeongChang Rural Area.

AIM: To compare the five-item Korean version of the Fatigue, Resistance, Ambulation, Illnesses and Loss of weight (K-FRAIL) questionnaire versus the 28-item Kihon + 3 index (the 25-item original Kihon checklist plus multimorbidity, sensory impairment, and Timed Up and Go test) in identifying prefrail or frail older adults. METHODS: We carried out a cross-sectional analysis of 212 community-dwelling older adults (mean age 76 years; 41% male) in PyeongChang County, Korea. We compared the C statistic, sensitivity and specificity of the K-FRAIL questionnaire (range 0-5; cut-point ≥1) versus the Kihon + 3 index (range 0-31; cut-point ≥4) and the original Kihon checklist (range 0-25; cut-point ≥4) in identifying prefrail or frail individuals according to the Cardiovascular Health Study criteria. RESULTS: According to the Cardiovascular Health Study criteria, 150 individuals (70.8%) were prefrail or frail. The C statistic of the K-FRAIL questionnaire in identifying prefrail or frail individuals was lower than that of the Kihon + 3 index (0.77 vs 0.85; P = 0.022) or that of the original Kihon checklist (0.77 vs 0.84; P = 0.046). However, at the a priori cut-points, the K-FRAIL questionnaire had sensitivity (0.79 vs 0.85; P = 0.095) and specificity (0.69 vs 0.69; P = 1.000) that were not significantly different from those of the Kihon + 3 index. However, the K-FRAIL questionnaire was more sensitive (0.79 vs 0.69; P = 0.016), but less specific (0.69 vs 0.86, p = 0.018) than the original Kihon checklist. CONCLUSIONS: For frailty screening in community-dwelling older adults, the simple K-FRAIL questionnaire might not be inferior to the current standard of the Kihon + 3 index, and it might be more sensitive and less specific than the original Kihon checklist. Geriatr Gerontol Int 2017; 17: 2046-2052.

Prevalence of Frailty and Aging-Related Health Conditions in Older Koreans in Rural Communities: a Cross-Sectional Analysis of the Aging Study of Pyeongchang Rural Area.

Frailty has been previously studied in Western countries and the urban Korean population; however, the burden of frailty and geriatric conditions in the aging populations of rural Korean communities had not yet been determined. Thus, we established a population-based prospective study of adults aged ≥ 65 years residing in rural communities of Korea between October 2014 and December 2014. All participants underwent comprehensive geriatric assessment that encompassed the assessment of cognitive and physical function, depression, nutrition, and body composition using bioimpedance analysis. We determined the prevalence of frailty based on the Cardiovascular Health Study (CHS) and Korean version of FRAIL (K-FRAIL) criteria, as well as geriatric conditions. We recruited 382 adults (98% of eligible adults; mean age: 74 years; 56% women). Generally, sociodemographic characteristics were similar to those of the general rural Korean population. Common geriatric conditions included instrumental activity of daily living disability (39%), malnutrition risk (38%), cognitive dysfunction (33%), multimorbidity (32%), and sarcopenia (28%), while dismobility (8%), incontinence (8%), and polypharmacy (3%) were less common conditions. While more individuals were classified as frail according to the K-FRAIL criteria (27%) than the CHS criteria (17%), the CHS criteria were more strongly associated with prevalent geriatric conditions. Older Koreans living in rural communities have a significant burden of frailty and geriatric conditions that increase the risk of functional decline, poor quality of life, and mortality. The current study provides a basis to guide public health professionals and policy-makers in prioritizing certain areas of care and designing effective public health interventions to promote healthy aging of this vulnerable population.