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        Quantitative Evaluation of the Diffusion Tensor Imaging Matrix Parameters and the Subsequent Correlation with the Clinical Assessment of Disease Severity in Cervical Spondylotic Myelopathy

        Nischal Neha,Tripathi Shalini,Singh Jatinder Pal 대한척추외과학회 2021 Asian Spine Journal Vol.15 No.6

        Study Design: We performed a prospective observational study of 52 patients who were clinically suspected of cervical spondylotic myelopathy (CSM), based on the modified Japanese Orthopaedic Association (mJOA) score, and were referred for magnetic resonance imaging (MRI) of the cervical spine. Purpose: To evaluate the quantitative parameters of the diffusion tensor imaging (DTI) matrix (fractional anisotropy [FA] and apparent diffusion coefficient [ADC] values) and determine the subsequent correlation with the clinical assessment of disease severity in CSM. Overview of Literature: Conventional MRI is the modality of choice for the identification of cervical spondylotic changes and is known to have a low sensitivity for myelopathy changes. DTI is sensitive to disease processes that alter the water movement in the cervical spinal cord at a microscopic level beyond the conventional MRI. Methods: DTI images were processed to produce FA and ADC values of the acquired axial slices with the regions of interest placed within the stenotic and non-stenotic segments. The final quantitative radiological derivations were matched with the clinical scoring system. Results: Total 52 people (24 men and 28 women), mean age 53.16 years with different symptoms of myelopathy, graded as mild (n=11), moderate (n=25), and severe (n=16) as per the mJOA scoring system, underwent MRI of the cervical spine with DTI. In the most stenotic segments, the mean FA value was significantly lower (0.5009±0.087 vs. 0.655.7±0.104, p<0.001), and the mean ADC value was significantly higher (1.196.5±0.311 vs. 0.9370±0.284, p<0.001) than that in the non-stenotic segments. The overall sensitivity in identifying DTI metrics abnormalities was more with FA (87.5%) and ADC (75.0%) than with T2 weighted images (25%). Conclusions: In addition to the routine MRI sequences, DTI metrics (FA value better than ADC) can detect myelopathy even in patients with a mild grade mJOA score before irreversible changes become apparent on routine T2 weighted imaging and thus enhance the clinical success of decompression surgery.

      • KCI등재

        Assessing the impact of climate variations on wheat yield in northwest India using GIS

        P. K. Kingra,Raj Setia,Jatinder Kaur,Simranjeet Singh,Som Pal Singh,S. S. Kukal,B. Pateriya 대한공간정보학회 2018 Spatial Information Research Vol.26 No.3

        We analyzed the spatial and temporal variations (40 years from 1974–75 to 2013–14 with an interval of four decades) in wheat yield as influenced by the three important potential determinants (climate, fertilizers and irrigation) in the three regions (North-west, Central and South-west) of Indian Punjab. Wheat productivity in Punjab has increased linearly at 60–64 kg ha-1 year-1. Although linear increase in productivity can be attributed to technological developments but large year-to-year oscillations depicted the effects of climatic variations. Mann–Kendall and Sen’s slope estimator statistical tests indicated that majority of the trends in maximum temperature and rainfall in different regions were not significant, but there was a significant increase in minimum temperature at 0.053 C year-1 in north-east, at 0.047 C year-1 in central and 0.044 C year-1 in south-west regions of Punjab. Step-wise regression was used to assess the relative influence of three determinants (climate, fertilizer and irrigation) on yield. Minimum temperature explained 44% of variability in yield. Out of the remaining 56% variability, 44% variability in wheat yield was explained by irrigation availability and 7% by fertilizer application. The spatial interpolation showed the decade-wise shift in area towards higher productivity, higher temperature and lower rainfall during the wheat growing season.

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