RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제
      • 좁혀본 항목 보기순서

        • 원문유무
        • 원문제공처
        • 등재정보
        • 학술지명
        • 주제분류
        • 발행연도
        • 작성언어
        • 저자
          펼치기

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • Relationship between Skeletal Muscle Mass, Bone Mineral Density, and Trabecular Bone Score in Osteoporotic Vertebral Compression Fractures

        Tokeshi Soichiro,Eguchi Yawara,Suzuki Munetaka,Yamanaka Hajime,Tamai Hiroshi,Orita Sumihisa,Inage Kazuhide,Shiga Yasuhiro,Hagiwara Shigeo,Nakamura Junichi,Akazawa Tsutomu,Takahashi Hiroshi,Ohtori Seij 대한척추외과학회 2021 Asian Spine Journal Vol.15 No.3

        Study Design: A retrospective observational study was performed. Purpose: We investigated the relationships between skeletal muscle mass, bone mineral density (BMD), and trabecular bone score (TBS) in patients with osteoporotic vertebral compression fractures (VCFs). Overview of Literature: The TBS has attracted attention as a measurement of trabecular bone microarchitecture. It is derived from data obtained using dual-energy X-ray absorptiometry (DXA) and is a reported indicator of VCFs, and its addition to the Fracture Risk Assessment Tool increases the accuracy of fracture prediction. Methods: BMD, skeletal muscle mass, and TBS were measured in 142 patients who visited Shimoshizu National Hospital from April to August 2019. Patients were divided into a VCF group and a non-VCF group. Whole-body DXA scans were performed to analyze body composition, including appendicular skeletal muscle mass index (SMI; lean mass [kg]/height [m2]) and BMD. The diagnostic criteria for sarcopenia was an appendicular SMI <5.46 kg/m2. A logistic regression analysis was conducted to identify the risk factors for VCFs. Results: The significant (p<0.05) findings (VCF group vs. non-VCF group, respectively) included age (79 vs. 70 years), femoral BMD (0.50 vs. 0.58 g/cm2), TBS (1.25 vs. 1.29), and lower limb muscle mass (8.6 vs. 9.9 kg). The VCF group was significantly older and had a lower femur BMD and decreased leg muscle mass than the non-VCF group. Based on the multiple logistic regression analysis, lower femoral BMD and decreased leg muscle mass were identified as risk factors for vertebral fracture independent of age, but the TBS was not. Conclusions: Patients with VCFs had low BMD, a low TBS, and low skeletal muscle mass. Lower femoral BMD and decreased leg muscle mass were identified as risk factors for VCFs independent of age, whereas the TBS was not identified as a risk factor for VCFs.

      • KCI등재

        An Evaluation Method for Tornado Missile Strike Probability with Stochastic Correlation

        Yuzuru Eguchi,Takahiro Murakami,Hiromaru Hirakuchi,Soichiro Sugimoto,Yasuo Hattori 한국원자력학회 2017 Nuclear Engineering and Technology Vol.49 No.2

        An efficient evaluation method for the probability of a tornado missile strike without usingthe Monte Carlo method is proposed in this paper. A major part of the proposed probabilityevaluation is based on numerical results computed using an in-house code, Tornado-bornemissile analysis code, which enables us to evaluate the liftoff and flight behaviors of unconstrainedobjects on the ground driven by a tornado. Using the Tornado-borne missileanalysis code, we can obtain a stochastic correlation between local wind speed and flightdistance of each object, and this stochastic correlation is used to evaluate the conditionalstrike probability, QV(r), of a missile located at position r, where the local wind speed is V. Incontrast, the annual exceedance probability of local wind speed, which can be computedusing a tornado hazard analysis code, is used to derive the probability density function,p(V). Then, we finally obtain the annual probability of tornado missile strike on a structurewith the convolutional integration of product of QV(r) and p(V) over V. The evaluationmethod is applied to a simple problem to qualitatively confirm the validity, and to quantitativelyverify the results for two extreme cases in which an object is located just in thevicinity of or far away from the structure.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼