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Yoshinori Sakurai,Hiroki Tanaka,Takushi Takata,Nozomi Fujimoto,Minoru Suzuki,Shinichiro Masunaga,Yuko Kinashi,Natsuko Kondo,Masaru Narabayashi,Yosuke Nakagawa,Tsubasa Watanabe,Koji Ono,Akira Maruhashi 한국물리학회 2015 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.67 No.1
At the Kyoto University Research Reactor Institute (KURRI), a clinical study of boron neutron capture therapy (BNCT) using a neutron irradiation facility installed at the research nuclear reactor has been regularly performed since February 1990. As of November 2014, 510 clinical irradiations were carried out using the reactor-based system. The world’s first accelerator-based neutron irradiation system for BNCT clinical irradiation was completed at this institute in early 2009, and the clinical trial using this system was started in 2012. A shift of BCNT from special particle therapy to a general one is now in progress. To promote and support this shift, improvements to the irradiation system, as well as its preparation, and improvements in the physical engineering and the medical physics processes, such as dosimetry systems and quality assurance programs, must be considered. The recent advances in BNCT at KURRI are reported here with a focus on physical engineering and medical physics topics.
Masashi Utsumi,Masaru Inagaki,Koji Kitada,Naoyuki Tokunaga,Midori Kondo,Yuya Sakurai,Kosuke Yunoki,Ryosuke Hamano,Hideaki Miyasou,Yousuke Tsunemitsu,Shinya Otsuka 대한외과학회 2022 Annals of Surgical Treatment and Research(ASRT) Vol.103 No.2
Purpose: This study was performed to determine the prognostic value of lymphocyte-to-CRP ratio after curative resection for hepatocellular carcinoma. Methods: Between July 2010 and October 2021, 173 consecutive patients (144 male, 29 female) who underwent surgical resection for pathologically confirmed hepatocellular carcinoma were included in this retrospective study. Cox regression analysis was used to evaluate the relationship between clinicopathological characteristics and recurrence-free survival (RFS) and overall survival (OS). A P-value of <0.05 was considered statistically significant. Results: The patients (mean age, 71 years) were stratified into high (≥9,500, n = 108) and low (<9,500, n = 65) lymphocyte- to-CRP ratio groups. The low lymphocyte-to-CRP ratio group had significantly worse RFS and OS. Low lymphocyte-to- CRP ratio (hazard ratio [HR], 1.865; 95% confidence interval [CI], 1.176–2.960; P = 0.008), multiple tumors (HR, 3.333; 95% CI, 2.042–5.343; P < 0.001), and microvascular invasion (HR, 1.934; 95% CI, 1.178–3.184; P = 0.009) were independently associated with RFS, whereas low albumin-to-globulin ratio (HR, 2.270; 95% CI, 1.074–4.868; P = 0.032), α-FP of ≥25 ng/mL (HR, 2.187; 95% CI, 1.115–4.259; P = 0.023), and poor tumor differentiation (HR, 2.781; 95% CI, 1.041–6.692; P = 0.042) were independently associated with OS. Lymphocyte-to-CRP ratio had a higher area under the curve (0.635) than other inflammation-based markers (0.51–0.63). Conclusion: Lymphocyte-to-CRP ratio is superior to other inflammation-based markers as a predictor of RFS in patients with surgically resected hepatocellular carcinoma.
A CONSIDERATION FOR DELTA-SIGMA MODULATOR IN MULTI-CHANNEL MEASUREMENT SYSTEMS
Atsushi ASADA,Satoshi HIRANO,Tomio GOTO,Masaru SAKURAI,Shogo MIURA,Daijyu ITAGAKI 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
In this papar, we have examined reproduction of waveform and stability that needs to be cleared in order to introduce the delta-sigma modulator into the multi-channel measurement systems. Our study has proved that the delta-sigma modulator can be applied to the multi-channel measurement system.
Takayuki Takahashi,Hikaru Matsuoka,Rieko Sakurai,Jun Akatsuka,Yusuke Kobayashi,Masaru Nakamura,Takashi Iwata,Kouji Banno,Motomichi Matsuzaki,Jun Takayama,Daisuke Aoki,Yoichiro Yamamoto,Gen Tamiya 대한부인종양학회 2022 Journal of Gynecologic Oncology Vol.33 No.5
Objective: Human papillomavirus subtypes are predictive indicators of cervical intraepithelial neoplasia (CIN) progression. While colposcopy is also an essential part of cervical cancer prevention, its accuracy and reproducibility are limited because of subjective evaluation. This study aimed to develop an artificial intelligence (AI) algorithm that can accurately detect the optimal lesion associated with prognosis using colposcopic images of CIN2 patients by utilizing objective AI diagnosis. Methods: We identified colposcopic findings associated with the prognosis of patients with CIN2. We developed a convolutional neural network that can automatically detect the rate of high-grade lesions in the uterovaginal area in 12 segments. We finally evaluated the detection accuracy of our AI algorithm compared with the scores by multiple gynecologic oncologists. Results: High-grade lesion occupancy in the uterovaginal area detected by senior colposcopists was significantly correlated with the prognosis of patients with CIN2. The detection rate for high-grade lesions in 12 segments of the uterovaginal area by the AI system was 62.1% for recall, and the overall correct response rate was 89.7%. Moreover, the percentage of high-grade lesions detected by the AI system was significantly correlated with the rate detected by multiple gynecologic senior oncologists (r=0.61). Conclusion: Our novel AI algorithm can accurately determine high-grade lesions associated with prognosis on colposcopic images, and these results provide an insight into the additional utility of colposcopy for the management of patients with CIN2.