http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Katsuhiro Araki (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
Katsuhiro Ito,Hiromasa Araki,Toshihiro Uchida,Yumi Manabe,Yu Miyazaki,Haruki Itoh,Mutsuki Mishina,Hiroshi Okuno 대한비뇨의학회 2020 Investigative and Clinical Urology Vol.61 No.3
Purpose: This retrospective study aimed to identify predictive factors and imaging features of adrenohepatic adhesion found during laparoscopic right adrenalectomy. Materials and Methods: Altogether, 77 patients underwent laparoscopic right adrenalectomy between January 2005 and December 2018. Adrenohepatic adhesion was defined as strict adhesion that required either partial adrenalectomy with coagulation of residual tissue or partial hepatectomy to accomplish complete resection. We assessed their surgical video records to determine if adrenohepatic adhesion was present. Age, sex, body mass index, tumor size, tumor diagnosis and radiological findings (attachment between the liver and the adrenal gland, diameters of the right and left adrenal veins and its ratio) were evaluated as preoperative variables. Results: Adrenohepatic adhesion was present in 11 of the 77 patients (14.3%). Age, sex, and body mass index were not statistically significant factors. Tumor size was significantly small in adhesion group (14.2 mm vs. 25.9 mm, p=0.02). Attachment to the liver and adrenal gland was frequently seen regardless of the adhesion. The mean right/left adrenal veins diameters ratio was significantly lower in the adhesion group (0.8 vs. 1.1, p=0.01). Multivariate logistic regression analysis demonstrated the right/left adrenal veins diameters ratio was the only significant predictor of adhesion. The sensitivity, specificity, negative predictive value and positive predictive value were 0.82, 0.76, 0.43, and 0.95 respectively when the optimal cutoff value for the ratio was 0.9 (area under the curve, 0.75; 95% confidence interval, 0.60–0.90). Conclusions: The right/left adrenal veins diameters ratio was possible predictor of adrenohepatic adhesion.
-
Katsuhiro Hayashi,Tetsutaro Yahata,Ryota Muramoto,Norio Yamamoto,Akihiko Takeuchi,Shinji Miwa,Takashi Higuchi,Kensaku Abe,Yuta Taniguchi,Hisaki Aiba,Yoshihiro Araki,Hiroyuki Tsuchiya 대한재활의학회 2018 Annals of Rehabilitation Medicine Vol.42 No.3
Objective To analyze patient characteristics of cancer rehabilitation and outcomes at our hospital.Methods This retrospective study analyzed 580 patients, who underwent cancer rehabilitation at our hospital and rehabilitation outcome after therapy were investigated. The relationship between the initial Barthel index and discharge outcomes was investigated, with a special focus on cancer patients with bone metastasis. The Barthel index and performance status (Eastern Cooperative Oncology Group) before and after rehabilitation were analyzed, and threshold value of home discharge was calculated from a receiver operating characteristic curve (ROC). General criteria for home discharge from our hospital included independence in performing basic activities of daily living such as bathing, feeding, and toileting or availability of home support from a family member/caregiver.Results The outcomes after rehabilitation among all the patients were as follows: discharge home 59%, death 13%, and others 27%. Statistical differences were observed between the initial and final values of the Barthel index in patients with bone metastasis, who could be discharged home (p=0.012). ROC analysis of the initial Barthel index for predicting home discharge revealed a threshold value of 60, sensitivity of 0.76, and specificity of 0.72.Conclusion The patients with bone metastasis had a lower rate of home discharge and a higher rate of mortality than all the study patients who underwent cancer rehabilitation at our hospital. It is proposed that at the time of initiation of rehabilitation for patients with bone metastasis, an initial Barthel index lower than 60 might predict a worse outcome than home discharge.
-
Imanishi, Toshiaki,Hanai, Taizo,Aoyagi, Ichiro,Uemura, Jun,Araki, Katsuhiro,Yoshimoto, Hiroshi,Harima, Takeshi,Honda , Hiroyuki,Kobayashi, Takeshi The Korean Society for Biotechnology and Bioengine 2002 Biotechnology and Bioprocess Engineering Vol.7 No.5
In order to control glucose concentration during fed-batch culture for antibiotic production, we applied so called “software sensor” which estimates unmeasured variable of interest from measured process variables using software. All data for analysis were collected from industrial scale cultures in a pharmaceutical company. First, we constructed an estimation model for glucose feed rate to keep glucose concentration at target value. In actual fed-batch culture, glucose concentration was kept at relatively high and measured once a day, and the glucose feed rate until the next measurement time was determined by an expert worker based on the actual consumption rate. Fuzzy neural network (FNN) was applied to construct the estimation model. From the simulation results using this model, the average error for glucose concentration was 0.88 g/L. The FNN model was also applied for a special culture to keep glucose concentration at low level. Selecting the optimal input variables, it was possible to simulate the culture with a low glucose concentration from the data sets of relatively high glucose concentration. Next, a simulation model to estimate time course of glucose concentration during one day was constructed using the on-line measurable process variables, since glucose concentration was only measured off-line once a day. Here, the recursive fuzzy neural network (RFNN) was applied for the simulation model. As the result of the simulation, average error of RFNN model was 0.91 g/L and this model was found to be useful to supervise the fed-batch culture.
-
Takeshi Kobayashi,Toshiaki Imanishi,Taizo Hanai,Ichiro Aoyagi,Jun Uemura,Katsuhiro Araki,Hiroshi Yoshimoto,Takeshi Harima,Hiroyuki Honda 한국생물공학회 2002 Biotechnology and Bioprocess Engineering Vol.7 No.5
In order to control glucose concentration during fed-batch culture for antibiotic production, we applied so called “software sensor” which estimates unmeasured variable of interest from measured process variables using software. All data for analysis were collected from industrial scale cultures in a pharmaceutical company. First, we constructed an estimation model for glucose feed rate to keep glucose concentration at target value. In actual fed-batch culture, glucose concentration was kept at relatively high and measured once a day, and the glucose feed rate until the next measurement time was determined by an expert worker based on the actual consumption rate. Fuzzy neural network (FNN) was applied to construct the estimation model. From the simulation results using this model, the average error for glucose concentration was 0.88 g/L. The FNN model was also applied for a special culture to keep glucose concentration at low level. Selecting the optimal input variables, it was possible to simulate the culture with a low glucose concentration from the data sets of relatively high glucose concentration. Next, a simulation model to estimate time course of glucose concentration during one day was constructed using the on-line measurable process variables, since glucose concentration was only measured off-line once a day. Here, the recursive fuzzy neural network (RFNN) was applied for the simulation model. As the result of the simulation, average error of RFNN model was 0.91 g/L and this model was found to be useful to supervise the fed-batch culture.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
