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排序方式: 共有6686条查询结果,搜索用时 31 毫秒
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Durgesh K. Dwivedi Yin Xi Payal Kapur Ananth J. Madhuranthakam Matthew A. Lewis Durga Udayakumar Robert Rasmussen Qing Yuan Aditya Bagrodia Vitaly Margulis Michael Fulkerson James Brugarolas Jeffrey A. Cadeddu Ivan Pedrosa 《Clinical genitourinary cancer》2021,19(1):12-21.e1
IntroductionPercutaneous renal mass biopsy results can accurately diagnose clear cell renal cell carcinoma (ccRCC); however, their reliability to determine nuclear grade in larger, heterogeneous tumors is limited. We assessed the ability of radiomics analyses of magnetic resonance imaging (MRI) to predict high-grade (HG) histology in ccRCC.Patients and MethodsSeventy patients with a renal mass underwent 3 T MRI before surgery between August 2012 and August 2017. Tumor length, first-order statistics, and Haralick texture features were calculated on T2-weighted and dynamic contrast-enhanced (DCE) MRI after manual tumor segmentation. After a variable clustering algorithm was applied, tumor length, washout, and all cluster features were evaluated univariably by receiver operating characteristic curves. Three logistic regression models were constructed to assess the predictability of HG ccRCC and then cross-validated.ResultsAt univariate analysis, area under the curve values of length, and DCE texture cluster 1 and cluster 3 for diagnosis of HG ccRCC were 0.7 (95% confidence interval [CI], 0.58-0.82, false discovery rate P = .008), 0.72 (95% CI, 0.59-0.84, false discovery rate P = .004), and 0.75 (95% CI, 0.63-0.87, false discovery rate P = .0009), respectively. At multivariable analysis, area under the curve for model 1 (tumor length only), model 2 (length + DCE clusters 3 and 4), and model 3 (DCE cluster 1 and 3) for diagnosis of HG ccRCC were 0.67 (95% CI, 0.54-0.79), 0.82 (95% CI, 0.71-0.92), and 0.81 (95% CI, 0.70-0.91), respectively.ConclusionRadiomics analysis of MRI images was superior to tumor size for the prediction of HG histology in ccRCC in our cohort. 相似文献
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Goossen W Dassen T Dijkstra A Hasman A Tiesinga L van den Heuvel W 《Scandinavian journal of caring sciences》2003,17(1):19-29
The Nursing Minimum Data Set for the Netherlands (NMDSN) describes nursing care based on nursing phenomena, interventions and outcomes. The validity and reliability of its data collection has not been tested yet. PURPOSE: To report about the discriminative validity and the interrater reliability of the NMDSN. DESIGN: Data were collected in an intensive care ward, in a nursing home and in a residential home. The unit of measurement and analysis is the 'patient day'. The analysis for validity consisted of ridits calculations, and their graphical representations. Interrater reliability was measured by percentage agreement and Cohen's kappa. RESULTS: Graphs illustrate the differences on most nursing phenomena and interventions as expected beforehand. The percentage agreements for the residential home vary from 60.4 to 100%, and the kappa statistics from -0.09 to 0.85, indicating a poor to almost perfect interrater reliability. CONCLUSION: Intensive care patients and patients in the nursing home have more problems and need more nursing interventions compared with general hospital patients, while the patients in the residential home have lesser of both. This illustrates the discriminative validity of the NMDSN. The kappa values for various NMDSN variables are sufficient. A similar test in the general hospital is recommended. 相似文献
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Excel在护士长夜查房记录统计分析管理中的应用 总被引:4,自引:0,他引:4
黄庆秋 《中国实用护理杂志》2005,21(1):65-66
目的 探讨护士长夜查房记录、统计管理的做法。方法 应用Excel进行检查表格的设计、统计归类、结果比较。结果提高了工作效率及统计准确性、记录表整洁清晰,图表比较更直观,为医院各级管理者提供了科学、快捷、准确的信息。结论 计算机技术介入护理管理使护理管理文书工作向科学化迈进,Excel操作简单易学,是护理管理者必须掌握的技能。 相似文献
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