Search results for: Tetsuya Yoshida

Items from 1 to 20 out of 118 results

article

Successful treatment of onychomatricoma with minimally invasive surgical procedures based on its pathogenesis: A case report

Julia Miyamoto, Yuhei Kawashima, Michitaro Hayakawa, Takayuki Fusumae, more

The Journal of Dermatology > 51 > 5 > 719 - 721

Onychomatricoma is a rare, fibroepithelial tumor of the nail. Although it is benign, unnecessary and excessive treatment, such as extensive or total removal of the nail matrix, has been reported in the past. Recently, it was speculated that onychomatricoma is derived from onychomatricodermis, the dermal stroma of the nail matrix. Excision of the stromal rather than the epithelial component of the...

article

Clinical, pathological, and therapeutic features of newly diagnosed prostate cancer predominantly detected by opportunistic PSA screening: A survey of Shiga Prefecture, Japan

Yuki Okinaka, Susumu Kageyama, Koji Nishizawa, Toru Yoshida, more

The Prostate > 81 > 15 > 1172 - 1178

Background In all the prefectures of Japan, with the exception of Shiga Prefecture, more than half of local governments have an organized prostate‐specific antigen (PSA) screening system in place. However, in the Shiga Prefecture, only a single city performed PSA screening over the time period of this survey. The purpose of the present study was to determine the clinical, pathological, and therapeutic...

article

Off‐clamp tumor excision using soft coagulation in laparoscopic and robotic partial nephrectomy

Tetsuya Yoshida, Yuki Okinaka, Keiji Tomita, Teruhiko Tsuru, more

Asian Journal of Endoscopic Surgery > 13 > 4 > 519 - 525

Introduction The aim of this study was to assess the perioperative outcomes of off‐clamp tumor excision using soft coagulation in laparoscopic and robotic partial nephrectomy. Methods We retrospectively analyzed the data from 78 patients who underwent minimally invasive partial nephrectomy, using soft coagulation, at the Shiga University of Medical Science, between September 2013 and April 2017...

article

Pediatric voiding cystourethrography: An essential examination for urologists but a terrible experience for children

Kazuyoshi Johnin, Kenichi Kobayashi, Teruhiko Tsuru, Tetsuya Yoshida, more

International Journal of Urology > 26 > 2 > 160 - 171

Voiding cystourethrography is the most important fluoroscopic examination in pediatric urology for the investigation of lower urogenital tract diseases, such as vesicoureteral reflux or urethral stricture. However, this invasive procedure imposes a significant burden on children and their parents, and recently there has been a paradigm shift in the diagnosis and treatment of vesicoureteral reflux...

article

High‐grade trichoblastic carcinoma arising through malignant transformation of trichoblastoma: Immunohistochemical analysis and the expression of p53 and phosphorylated AKT

Takayuki Fusumae, Keiji Tanese, Asako Takeuchi, Arisa Takasugi, more

The Journal of Dermatology > 46 > 1 > 57 - 60

Trichoblastoma (TB) is a benign cutaneous adnexal neoplasm. The lesion typically presents as a slow‐growing, solitary, well‐circumscribed nodule measuring up to 3 cm in diameter. On rare occasions, TB causes malignant transformation into an aggressive form described as high‐grade trichoblastic carcinoma. Four such cases have been reported to date; all were described as high‐grade trichoblastic carcinomas...

article

Successful treatment of extramammary Paget's disease with S‐1 and docetaxel combination chemotherapy

Rino Kawakita, Takayuki Fusumae, Shunsuke Oda, Asako Takeuchi, more

The Journal of Dermatology > 45 > 9 > e252 - e253

article

The location of the bladder neck in postoperative cystography predicts continence convalescence after radical prostatectomy

Susumu Kageyama, Tetsuya Yoshida, Masayuki Nagasawa, Shigehisa Kubota, more

BMC Urology > 2018 > 18 > 1 > 1-7

Background This study was conducted to determine whether the location of the bladder neck in postoperative cystography predicts recovery of continence after radical prostatectomy. Methods Between 2008 and 2015, 203 patients who underwent laparoscopic radical prostatectomy (LRP, n = 99) and robot assisted radical prostatectomy (RARP, n = 104) were analyzed. The location of the bladder neck was visualized...

article

Intravesical bacillus Calmette–Guerin therapy after second transurethral resection for primary T1 bladder cancer

Masato Baba, Susumu Kageyama, Tetsuya Yoshida, Ryo Fujiwara, more

International Journal of Clinical Oncology > 2018 > 23 > 5 > 951-956

Background To evaluate the effect of intravesical bacillus Calmette–Guerin (BCG) instillation therapy after second transurethral resection (TUR) on primary T1 bladder cancer. Methods The subjects were 180 patients diagnosed with T1 bladder cancer at our university and at affiliated hospitals between January 1990 and December 2015. Tumor residual rate, intravesical recurrence rate, and risk factors...

article

Indocyanine Green Angiography-assisted Laparoendoscopic Single-site Varicocelectomy

Keiji Tomita, Susumu Kageyama, Eiki Hanada, Tetsuya Yoshida, more

Urology > 2017 > 106 > C > 221-225

To study the efficacy of a new laparoscopic varicocelectomy technique using indocyanine green (ICG) angiography.Laparoendoscopic single-site (LESS) varicocelectomy using ICG angiography was performed in a single institution on 11 patients with a grade 2 or 3 varicocele. Adult men (N = 9, 82%) who were apparently infertile and had a varicocele, as well as prepubertal boys (N = 2, 18%) with testicular...

article

A Community Structure‐Based Approach for Network Immunization

Tetsuya Yoshida, Yuu Yamada

Computational Intelligence > 33 > 1 > 77 - 98

We propose a community structure‐based approach that does not require community labels of nodes, for network immunization. Social networks have been widely used as daily communication infrastructures these days. However, fast spreading of information over networks may have downsides such as computer viruses or epidemics of diseases. Because contamination is propagated among subgraphs (communities)...

article

Possible roles of long-chain sphingomyelines and sphingomyelin synthase 2 in mouse macrophage inflammatory response

Hideaki Sakamoto, Tetsuya Yoshida, Takao Sanaki, Shuhei Shigaki, more

Biochemical and Biophysical Research Communications > 2017 > 482 > 2 > 202-207

To evaluate the precise role of sphingomyelin synthase 2 (SMS2) in sphingomyelin (SM) metabolism and their anti-inflammatory properties, we analyzed species of major SM and ceramide (Cer) (18:1, 18:0 sphingoid backbone, C14 - C26 N-acyl part) in SMS2 knockout and wild-type mouse plasma and liver using HPLC-MS. SMS2 deficiency significantly decreased very long chain SM (SM (d18:1/22:0) and SM (d18:1/24:0...

article

The use of renewable energy in the form of methane via electrolytic hydrogen generation using carbon dioxide as the feedstock

Koji Hashimoto, Naokazu Kumagai, Koichi Izumiya, Hiroyuki Takano, more

Applied Surface Science > 2016 > 388 > PB > 608-615

The history reveals the continuous increase in world energy consumption and carbon emissions. For prevention of intolerable global warming and complete exhaustion of fossil fuels we need complete conversion from fossil fuel consumption to renewable energy. We have been performing the research and development of global carbon dioxide recycling for more than 25 years to supply renewable energy to the...

chapter

Case Generation Method for Constructing an RDR Knowledge Base

Keisei Fujiwara, Tetsuya Yoshida, Hiroshi Motoda, Takashi Washio

Lecture Notes in Computer Science > PRICAI 2002: Trends in Artificial Intelligence > Knowledge Acquisition and Management > 228-237

Ripple Down Rules (RDR) Method is an incremental Knowledge Acquisition (KA) approach that is able to capture human expertise efficiently. The expert’s KA tasks in RDR are 1) to identify the correct class label of each misclassified case and 2) to select important attributes that distinguish the misclassified case from the previous correctly classified case. The latter task is more difficult than the...

chapter

Toward Improving Re-coloring Based Clustering with Graph b-Coloring

Hiroki Ogino, Tetsuya Yoshida

Lecture Notes in Computer Science > PRICAI 2010: Trends in Artificial Intelligence > Regular Papers > 206-218

This paper proposes an approach toward improving re-coloring based clustering with graph b-coloring. Previous b-coloring based clustering algorithm did not consider the quality of clusters. Although a greedy re-coloring algorithm was proposed, it was still restrictive in terms of the explored search space due to its greedy and sequential re-coloring process. We aim at overcoming the limitations by...

article

Production and decay of charmed baryons

Atsushi Hosaka, Emiko Hiyama, SangHo Kim, Hyun-Chul Kim, more

Nuclear Physics A > 2016 > 954 > C > 341-351

In this paper, we discuss reactions involving charmed baryons to explore their unique features. A well known phenomenon, the separation of the two internal motions of the ρ and λ types of a three-quark system is revisited. First we discuss the mass spectrum of low lying excitations as function of the heavy quark mass, smoothly connecting the SU(3) and heavy quark limits. The properties of these modes...

article

Pharmacokinetic Analysis of a Hemodialyzed Patient Treated With Pazopanib

Satoshi Noda, Daiki Hira, Susumu Kageyama, Fumiyasu Jo, more

Clinical Genitourinary Cancer > 2016 > 14 > 4 > e453-e456

chapter

Analysis of Hepatitis Dataset by Decision Tree Based on Graph-Based Induction

Warodom Geamsakul, Takashi Matsuda, Tetsuya Yoshida, Kouzou Ohara, more

Lecture Notes in Computer Science > New Frontiers in Artificial Intelligence > 17th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2003) – Award-Winning Papers > 5-28

A machine learning technique called Graph-Based Induction (GBI) efficiently extracts typical patterns from graph-structured data by stepwise pair expansion (pairwise chunking). It is very efficient because of its greedy search. We have expanded GBI to construct a decision tree that can handle graph-structured data. DT-GBI constructs a decision tree while simultaneously constructing attributes for...

chapter

Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction

Warodom Geamsakul, Tetsuya Yoshida, Kouzou Ohara, Hiroshi Motoda, more

Lecture Notes in Computer Science > Active Mining > Active Data Mining > 126-151

We have proposed a method called Decision Tree Graph-Based Induction (DT-GBI), which constructs a classifier (decision tree) for graph-structured data while simultaneously constructing attributes for classification. Graph-Based Induction (GBI) is utilized in DT-GBI for efficiently extracting typical patterns from graph-structured data by stepwise pair expansion (pairwise chunking). Attributes, i.e...

chapter

Discovering Conceptual Differences among Different People via Diverse Structures

Tetsuya Yoshida, Teruyuki Kondo, Shogo Nishida

Lecture Notes in Computer Science > Methodologies for Knowledge Discovery and Data Mining > Advanced Topics and New Methodologies > 494-499

We extend a method for discovering conceptual differences among people by introducing diverse structures utilizing Genetic Algorithm (GA). I general different people seem to have different ways of conception and thus can have different concepts even on the same thing. Removing conceptual differences seems especially important whe people with different backgrounds and knowledge carry out collaborative...

chapter

Performance Evaluation of Constraints in Graph-Based Semi-supervised Clustering

Tetsuya Yoshida

Lecture Notes in Computer Science > Active Media Technology > Data Mining, Ontology Mining and Web Reasoning > 138-149

Semi-supervised learning has been attracting much interest to cope with vast amount of data. When similarities among instances are specified, by connecting each pair of instances with an edge, the entire data can be represented as an edge-weighted graph. Based on the graph representation, we have proposed a graph-based approach for semi-supervised clustering, which modifies the graph structure by...

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INFONA - science communication portal

Search results for: Tetsuya Yoshida

Successful treatment of onychomatricoma with minimally invasive surgical procedures based on its pathogenesis: A case report

Clinical, pathological, and therapeutic features of newly diagnosed prostate cancer predominantly detected by opportunistic PSA screening: A survey of Shiga Prefecture, Japan

Off‐clamp tumor excision using soft coagulation in laparoscopic and robotic partial nephrectomy

Pediatric voiding cystourethrography: An essential examination for urologists but a terrible experience for children

High‐grade trichoblastic carcinoma arising through malignant transformation of trichoblastoma: Immunohistochemical analysis and the expression of p53 and phosphorylated AKT

Successful treatment of extramammary Paget's disease with S‐1 and docetaxel combination chemotherapy

The location of the bladder neck in postoperative cystography predicts continence convalescence after radical prostatectomy

Intravesical bacillus Calmette–Guerin therapy after second transurethral resection for primary T1 bladder cancer

Indocyanine Green Angiography-assisted Laparoendoscopic Single-site Varicocelectomy

A Community Structure‐Based Approach for Network Immunization

Possible roles of long-chain sphingomyelines and sphingomyelin synthase 2 in mouse macrophage inflammatory response

The use of renewable energy in the form of methane via electrolytic hydrogen generation using carbon dioxide as the feedstock

Case Generation Method for Constructing an RDR Knowledge Base

Toward Improving Re-coloring Based Clustering with Graph b-Coloring

Production and decay of charmed baryons

Pharmacokinetic Analysis of a Hemodialyzed Patient Treated With Pazopanib

Analysis of Hepatitis Dataset by Decision Tree Based on Graph-Based Induction

Extracting Diagnostic Knowledge from Hepatitis Dataset by Decision Tree Graph-Based Induction

Discovering Conceptual Differences among Different People via Diverse Structures

Performance Evaluation of Constraints in Graph-Based Semi-supervised Clustering

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