BACKGROUND Esophageal cancer is a common malignancy with high mortality.Radiotherapy is an important treatment.Sarcopenia affects patients'physical function and prog-nosis.However,the relationship between sarcopen...BACKGROUND Esophageal cancer is a common malignancy with high mortality.Radiotherapy is an important treatment.Sarcopenia affects patients'physical function and prog-nosis.However,the relationship between sarcopenia diagnosed by Chun-Hou Chen method for sarcopenia measurement and index(C3SMI)criteria and eso-phageal cancer prognosis after radiotherapy is unclear.AIM To explore the correlation between sarcopenia(SA)diagnosed based on C3SMI criteria and the prognosis of patients with esophageal cancer following radiothe-rapy.METHODS A retrospective analysis was conducted on the general clinical data of 131 eso-phageal cancer patients who received radiotherapy in the Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University from March 2021 to July 2024.Based on the presence of SA,the patients were assigned into two groups-the SA group and the non-SA group.Logistic regression analysis was used for investi-gating the risk factors influencing SA in esophageal cancer patients.Additionally,the patients were followed up,with their prognosis recorded.As per their prognostic outcomes,the patients were allocated into a good prognosis group and a poor prognosis group.The data of the two groups were compared.Using logistic regression analysis,the risk factors that may influence the prognosis of these patients were analyzed.SPSS 26.0 statistical software was introduced for analyzing the study data.Comparisons were made between groups using t-tests or χ_(2) tests based on the data type.RESULTS As revealed through logistic regression analysis,age[odds ratio(OR)=2.898,P=0.038],body mass index(OR=5.983,P=0.006),prealbumin(OR=6.253,P=0.003),and Karnofsky performance status score(OR=3.854,P=0.010)were independent risk factors impacting SA for esophageal cancer patients(P<0.05).Logistic regression analysis also found that age(OR=3.823,P=0.030),differentiation degree(OR=4.802,P=0.028),American Joint Committee on Cancer clinical staging(OR=3.732,P=0.013),alpha-fetoprotein level(OR=3.508,P=0.018),thrombospondin-1 level(OR=5.749,P=0.006),carcinoembryonic antigen level(OR=3.873,P=0.030),and SA(OR=3.593,P=0.017)were independent risk factors that may influence esophageal cancer patients'prognosis(P<0.05).CONCLUSION The presence of SA has a significant relation to the poor prognosis of esophageal cancer patients,which highlights the importance of assessing and intervening in SA in clinical management so as to improve patient prognosis.展开更多
为消除激光自混合干涉(Self-mixing Interference,SMI)信号中的噪声,提高测量精度,提出自适应谱线增强器与递推最小二乘法向结合的自适应解决方案。该方案利用自适应谱线增强器(Adaptive Line Enhancer,ALE)和递推最小二乘法(Recursive ...为消除激光自混合干涉(Self-mixing Interference,SMI)信号中的噪声,提高测量精度,提出自适应谱线增强器与递推最小二乘法向结合的自适应解决方案。该方案利用自适应谱线增强器(Adaptive Line Enhancer,ALE)和递推最小二乘法(Recursive Least Square,RLS)算法去除SMI信号噪声,与低通滤波器(Low-pass Filter,LPF)和离散小波变换(Discrete Wavelet Transform,DWT)对比,进行多种信号模拟与实验测试。结果显示,RLS-ALE在不同场景下均方根误差低,与LPF和DWT对比,误差值分别为19.1、38.3、21.3 nm等,且估计信噪比的绝对平均误差和标准偏差为1.35和1.09 dB。另外所提方案的估计使得对噪声进行统计分析成为可能,这有助于确定SMI传感系统实验噪声的分布。RLS-ALE适用于不同反馈机制的SMI信号,无须调整参数,在均方根误差等方面表现更优,为SMI传感系统提供自适应模型,使SMI传感器在汽车上的应用成为可能。展开更多
文摘BACKGROUND Esophageal cancer is a common malignancy with high mortality.Radiotherapy is an important treatment.Sarcopenia affects patients'physical function and prog-nosis.However,the relationship between sarcopenia diagnosed by Chun-Hou Chen method for sarcopenia measurement and index(C3SMI)criteria and eso-phageal cancer prognosis after radiotherapy is unclear.AIM To explore the correlation between sarcopenia(SA)diagnosed based on C3SMI criteria and the prognosis of patients with esophageal cancer following radiothe-rapy.METHODS A retrospective analysis was conducted on the general clinical data of 131 eso-phageal cancer patients who received radiotherapy in the Affiliated Huaian No.1 People’s Hospital of Nanjing Medical University from March 2021 to July 2024.Based on the presence of SA,the patients were assigned into two groups-the SA group and the non-SA group.Logistic regression analysis was used for investi-gating the risk factors influencing SA in esophageal cancer patients.Additionally,the patients were followed up,with their prognosis recorded.As per their prognostic outcomes,the patients were allocated into a good prognosis group and a poor prognosis group.The data of the two groups were compared.Using logistic regression analysis,the risk factors that may influence the prognosis of these patients were analyzed.SPSS 26.0 statistical software was introduced for analyzing the study data.Comparisons were made between groups using t-tests or χ_(2) tests based on the data type.RESULTS As revealed through logistic regression analysis,age[odds ratio(OR)=2.898,P=0.038],body mass index(OR=5.983,P=0.006),prealbumin(OR=6.253,P=0.003),and Karnofsky performance status score(OR=3.854,P=0.010)were independent risk factors impacting SA for esophageal cancer patients(P<0.05).Logistic regression analysis also found that age(OR=3.823,P=0.030),differentiation degree(OR=4.802,P=0.028),American Joint Committee on Cancer clinical staging(OR=3.732,P=0.013),alpha-fetoprotein level(OR=3.508,P=0.018),thrombospondin-1 level(OR=5.749,P=0.006),carcinoembryonic antigen level(OR=3.873,P=0.030),and SA(OR=3.593,P=0.017)were independent risk factors that may influence esophageal cancer patients'prognosis(P<0.05).CONCLUSION The presence of SA has a significant relation to the poor prognosis of esophageal cancer patients,which highlights the importance of assessing and intervening in SA in clinical management so as to improve patient prognosis.
