Results 241 to 250 of about 110,404 (302)

Prognostic and Predictive Role of Lymph Node Count in Stage II Colon Cancer: A Retrospective Analysis of a Japanese Nationwide Cohort

Annals of Gastroenterological Surgery, EarlyView.
This study analyzed over 3500 patients with stage II colon cancer treated with D3 lymphadenectomy, to reassess the prognostic value of number of harvested lymph node and their role in predicting benefit from adjuvant chemotherapy using a Japanese nationwide cohort.
Kozo Kataoka, Akira Ouchi, Kanae Takahashi, Kazuma Ito, Manabu Shiozawa, Kenta Iguchi, Takashi Akiyoshi, Takefumi Yoshida, Masataka Ikeda, Eiji Shinto, Yasuyuki Takamizawa, Yoichi Ajioka, Hirotoshi Kobayashi, Yukihide Kanemitsu   +13 more
wiley   +1 more source

Annual Report of the 2022 National Clinical Database: Decade‐Long Trends and Current Status of Gastroenterological Surgery in Japan

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim The National Clinical Database (NCD) of Japan is the largest nationwide registry, covering over 95% of surgeries in the country. This 2022 annual report summarizes the short‐term outcomes of gastroenterological surgeries and discusses trends and insights over the past decade.
Koshi Kumagai, Arata Takahashi, Hideki Ueno, Naoki Hiki, Yoshiki Kajiwara, Tomoki Ebata, Takao Otsuka, Taro Oshikiri, Yoshihiro Kakeji, Takanori Goi, Akio Saiura, Hiroshi Saeki, Chie Tanaka, Masanori Tokunaga, Tsutomu Fujii, Satoru Matsuda, Tsunekazu Mizushima, Hiroyuki Yamamoto, Yuko Kitagawa, Ken Shirabe   +19 more
wiley   +1 more source

Comparison Between Upfront Surgery and Preoperative Chemotherapy for CY1P0 Gastric Cancer: A Japanese Sub‐Analysis of CONVO‐GC‐1

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Radical gastrectomy, followed by adjuvant chemotherapy has been a common practice in Japan for peritoneal lavage cytology‐positive (CY1) but peritoneal dissemination‐negative (P0) stage IV gastric cancer. This study aimed to clarify the differences in treatment outcomes between upfront surgery and preoperative chemotherapy, followed
Kenichiro Furukawa, Itaru Yasufuku, Hironori Ishigami, Masahiro Yura, Takanobu Yamada, Shigeaki Baba, Takeshi Kubota, Erina Nagai, Seito Fujibayashi, Mitsumasa Yoshida, Takahiro Kinoshita, Nobuhisa Matsuhashi, Masanori Terashima   +12 more
wiley   +1 more source

Association of a Multimodal Perioperative Care Program With Postoperative Complications in Elderly Patients Undergoing Gastrectomy for Gastric Cancer

Annals of Gastroenterological Surgery, EarlyView.
Implementation of a multimodal perioperative care program and reduction of postoperative complications. ABSTRACT Purpose This retrospective study aimed to assess the clinical effectiveness of a multimodal perioperative care program in reducing postoperative complications in elderly patients undergoing gastrectomy for gastric cancer.
Keiichi Fujiya, Hiroshi Fuseya, Yusuke Yonenaga, Keiko Sanada, Toshimi Inano, Yumi Oguma, Kazuko Nakajima, Chikako Ando, Kumiko Oka, Yusuke Koseki, Kenichiro Furukawa, Yutaka Tanizawa, Masanori Terashima, Etsuro Bando   +13 more
wiley   +1 more source

Rethinking Perioperative Corticosteroids in Esophageal Cancer Surgery: Evidence From an Integrative Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Esophagectomy remains a highly invasive procedure associated with substantial postoperative morbidity. Pulmonary complications, anastomotic leakage, and in‐hospital mortality are of particular concern. Perioperative corticosteroids are often administered to attenuate excessive inflammatory responses; however, the clinical impact in ...
Tomohiko Yasuda, Akihisa Matsuda, Nobutoshi Hagiwara, Yoshiharu Nakamura, Hiroshi Yoshida   +4 more
wiley   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source