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( Jungseopeom ),( Eunjungcho ),( Donghoonbaek ),( Kyungnamlee ),( Kyunghwashin ),( Mihyunkim ),( Kwanghalee ),( Kiukkim ),( Hyekyungpark ),( Yunsungkim ),( Soonkewpark ),( Seongheoncha ),( Minkilee ) 대한결핵 및 호흡기학회 2012 Tuberculosis and Respiratory Diseases Vol.72 No.1
The survival of non-small cell lung cancer (NSCLC) patients with brain metastases is reported to be 3∼6 months even with aggressive treatment. Some patients have very short survival after aggressive treatment and reliable prognostic scoring systems for patients with cancer have a strong correlation with outcome, often supporting decision making and treatment recommendations. A total of one hundred twenty two NSCLC patients with brain metastases who received gamma knife radiosurgery (GKRS) were analyzed. Survival analysis was calculated in all patients for thirteen available prognostic factors and four prognostic scoring systems: score index for radiosurgery (SIR), recursive partitioning analysis (RPA), graded prognostic assessment (GPA), and basic score for brain metastases (BSBM). Results: Age, Karnofsky performance status, largest brain lesion volume, systemic chemotherapy, primary tumor control, and medication of epidermal growth factor receptor tyrosine kinase inhibitor were statistically independent prognostic factors for survival. A multivariate model of SIR and RPA identified significant differences between each group of scores. We found that three-tiered indices such as SIR and RPA are more useful than four-tiered scoring systems (GPA and BSBM). There is little value of RPA class III (most unfavorable group) for the same results of 6-month and 1-year survival rate. Thus, SIR is the most useful index to sort out patients with poorer prognosis. Further prospective trials should be performed to develop a new molecular- and gene-based prognostic index model.
A new predictive PID controller for the processes with time delay
Kyung Nam Lee,여영구 한국화학공학회 2009 Korean Journal of Chemical Engineering Vol.26 No.5
A new proportional-integral-derivative (PID) controller is proposed based upon a simplified generalized predictive control (GPC) control law. The tuning parameters of the proposed predictive PID controller are obtained from the simplified GPC control law for the 1st-order and 2nd-order processes with time delays of integer and non-integer multiples of the sampling time. The internal model technique is employed to compensate the effect of time delay of the target process. The predictive PID controller is equivalent to the PI controller when the target process is 1st-order and to the PID controller when the target process is an integrating process. The performance of the proposed predictive PID controller is almost the same as that of the simplified GPC. The main advantage of the proposed control scheme over other control methods is the ease of tuning and operation.