2篇
您的检索式：作者名="Kento Shin"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Is hepatic arterial infusion chemotherapy effective treatment for advanced hepatocellular carcinoma resistant to transarterial chemoembolization?显示文摘AIM:To evaluate the effectiveness of hepatic arterial infusion chemotherapy(HAIC) for advanced hepatocellular carcinoma(HCC) resistant to transarterial chemoembolization(TACE).METHODS:This study was conducted on 42 patients who received HAIC for advanced HCC between 2001and 2010 at our hospital.5-fluorouracil(5-FU) was administered continuously for 24 h from day 1 to day 5 every 2-4 wk via an injection reservoir.Intra-arterial cisplatin or subcutaneous interferon was administered in combination with the 5-FU.The patients enrolled in this retrospective study were divided into two groups according to whether or not they fulfilled the criteria for resistance to TACE proposed by the Japan Society of Hepatology in 2010(written in Japanese);one group of patients who did not fulfill the criteria for TACE resistance(group A,n = 23),and another group who fulfilled the criteria for TACE resistance(group B,n = 19).We compared the outcomes in terms of the response and survival rates between the two groups.RESULTS:Both the response rate and tumor suppression rate following HAIC were significantly superior in group A than in group B(response rate:48% vs 16%,P = 0.028,tumor suppression rate:87% vs 53%,P = 0.014).Furthermore,both the progression-free survival rate and survival time were significantly superior in group A than in group B(3-,6-,12-,and 24-mo = 83%,70%,29% and 20% vs 63%,42%,16% and 0%,respectively,P = 0.040,and 9.8 mo vs 6.2 mo,P = 0.040).A multivariate analysis(Cox proportional hazards regression model) showed that resistance to TACE was an independent predictor of poor survival(P = 0.007).CONCLUSION:HAIC administrating 5-FU was not effective against advanced HCC resistant to TACE.Other tools for treatment,i.e.,molecular-targeting agents may be considered for these cases. | Hiroyuki Kirikoshi Masato Yoneda Hironori Mawatari Koji Fujita Kento Imajo Shingo Kato Kaori Suzuki Noritoshi Kobayashi Kensuke Kubota Shin Maeda Atsushi Nakajima Satoru Saito | 2012 | World Journal of Gastroenterology2012，18，16： | 9 |
| 2 | Deep-learning-based quality filtering of mechanically exfoliated 2D crystals显示文摘Two-dimensional(2D)crystals are attracting growing interest in various research fields such as engineering,physics,chemistry,pharmacy,and biology owing to their low dimensionality and dramatic change of properties compared to the bulk counter parts.Among the various techniques used to manufacture 2D crystals,mechanical exfoliation has been essential to practical applications and fundamental research.However,mechanically exfoliated crystals on substrates contain relatively thick flakes that must be found and removed manually,limiting high-throughput manufacturing of atomic 2D crystals and van der Waals heterostructures.Here,we present a deep-learning-based method to segment and identify the thickness of atomic layer flakes from optical microscopy images.Through carefully designing a neural network based on U-Net,we found that our neural network based on Unet trained only with the data based on realistically small number of images successfully distinguish monolayer and bilayer MoS2 and graphene with a success rate of 70–80%,which is a practical value in the first screening process for choosing monolayer and bilayer flakes of all flakes on substrates without human eye.The remarkable results highlight the possibility that a large fraction of manual laboratory work can be replaced by AI-based systems,boosting productivity. | Yu Saito Kento Shin Kei Terayama Shaan Desai Masaru Onga Yuji Nakagawa Yuki M.Itahashi Yoshihiro Iwasa Makoto Yamada Koji Tsuda | 2019 | npj Computational Materials2019，，1： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员