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Relationship between diversion colitis and quality of life in rectal cancer 被引量:15
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作者 Dong Nyoung Son Dong Jin Choi +5 位作者 Si Uk Woo Jin kim Bo Ra Keom chul hwan kim Se Jin Baek Seon Hahn kim 《World Journal of Gastroenterology》 SCIE CAS 2013年第4期542-549,共8页
AIM:To investigated the incidence of diversion colitis(DC) and impact of DC symptoms on quality of life(QoL) after ileostomy reversal in rectal cancer.METHODS:We performed a prospective study with 30 patients who unde... AIM:To investigated the incidence of diversion colitis(DC) and impact of DC symptoms on quality of life(QoL) after ileostomy reversal in rectal cancer.METHODS:We performed a prospective study with 30 patients who underwent low anterior resection and the creation of a temporary ileostomy for the rectal cancer between January 2008 and July 2009 at the Department of Surgery,Korea University Anam Hospital.The participants totally underwent two rounds of the examinations.At first examination,endoscopies,tissue biopsies,and questionnaire survey about the symptom were performed 3-4 mo after the ileostomy creations.At second examination,endoscopies,tissue biopsies,and questionnaire survey about the symptom and QoL were performed 5-6 mo after the ileostomy reversals.Clinicopathological data were based on the histopathological reports and clinical records of the patients.RESULTS:At the first examination,all of the patients presented with inflammation,which was mild in 15(50%) patients,moderate in 11(36.7%) and severe in 4(13.3%) by endoscopy and mild in 14(46.7%) and moderate in 16(53.3%) by histology.At the second examination,only 11(36.7%) and 17(56.7%) patients had mild inflammation by endoscopy and histology,respectively.There was no significant difference in DC grade between the endoscopic and the histological findings at first or second examination.The symptoms detected on the first and second questionnaires were mucous discharge in 12(40%) and 5(17%) patients,bloody discharge in 5(17%) and 3(10%) patients,abdominal pain in 4(13%) and 2(7%) patients and tenesmus in 9(30%) and 5(17%) patients,respectively.We found no correlation between the endoscopic or histological findings and the symptoms such as mucous discharge,bleeding,abdominal pain and tenesmus in both time points.Diarrhea was detected in 9 patients at the second examination;this number correlated with the severity of DC(0%,0%,66.7%,33.3% vs 0%,71.4%,23.8%,4.8%,P = 0.001) and the symptom-related QoL(r =-0.791,P < 0.001).CONCLUSION:The severity of DC is related to diarrhea after an ileostomy reversal and may adversely affect QoL. 展开更多
关键词 DIVERSION COLITIS Quality of life DIARRHEA ILEOSTOMY RECTAL cancer
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Intelligent Islanding Detection of Multi-distributed Generation Using Artificial Neural Network Based on Intrinsic Mode Function Feature 被引量:2
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作者 Samuel Admasie Syed Basit Ali Bukhari +2 位作者 Teke Gush Raza Haider chul hwan kim 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2020年第3期511-520,共10页
The integration of distributed energy resources(DERs) into distribution networks is becoming increasingly important, as it supports the continued adoption of renewable power generation, combined heat and power plants,... The integration of distributed energy resources(DERs) into distribution networks is becoming increasingly important, as it supports the continued adoption of renewable power generation, combined heat and power plants, and storage systems. Nevertheless, inadvertent islanding operation is one of the major protection issues in distribution networks connected to DERs. This study proposes an intelligent islanding detection method(IIDM) using an intrinsic mode function(IMF)feature-based grey wolf optimized artificial neural network(GWO-ANN). In the proposed IIDM, the modal voltage signal is pre-processed by variational mode decomposition followed by Hilbert transform on each IMF to derive highly involved features. Then, the energy and standard deviation of IMFs are employed to train/test the GWO-ANN model for identifying the islanding operations from other non-islanding events. To evaluate the performance of the proposed IIDM, various islanding and non-islanding conditions such as faults, voltage sag, linear and nonlinear load and switching, are considered as the training and testing datasets. Moreover, the proposed IIDM is evaluated under noise conditions for the measured voltage signal. The simulation results demonstrate that the proposed IIDM is capable of differentiating between islanding and non-islanding events without any sensitivity under noise conditions in the test signal. 展开更多
关键词 Distributed energy resource(DER) intrinsic mode function(IMF) grey wolf optimized artificial neural network(GWO-ANN) intelligent islanding detection method(IIDM) MICROGRID
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