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Profil bibliographique

Toshiaki Shichinohe

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

384Publications signalées
5289Citations signalées
2Affiliations récentes

Les institutions déclarées

Les domaines associés

Pancreatic and Hepatic Oncology ResearchCholangiocarcinoma and Gallbladder Cancer StudiesGastric Cancer Management and OutcomesEsophageal Cancer Research and TreatmentSurgical Simulation and Training

Les publications récentes

Accès ouvert 2026 article OpenAlex

Fiber-optic near-infrared fluorescence spectroscopy using indocyanine green for semi-quantitative time–intensity curve assessment of the gastric conduit before and after retrosternal reconstruction: an initial clinical study

Takeo Nitta, Yuma Ebihara, Hironobu Takano, Saseem Poudel et autres

BACKGROUND: Adequate perfusion at the planned anastomotic site is important during gastric conduit reconstruction after esophagectomy. However, objective intraoperative assessment remains challenging. This pilot study evaluated the feasibility of fiber-optic near-infrared fluorescence spectroscopy using indocyanine green (ICG) and descriptively characterized local semi-quantitative …

jp (code pays fourni par la source)

0 citations Photodiagnosis and Photodynamic Therapy
Accès ouvert 2026 article OpenAlex

Remote Support and Education System for Trauma Treatment at Disaster Sites

Daichi Aoki, Soichi Murakami, Chisaho Miura, Satoshi Kanai et autres

This study proposes a dual-purpose system for remote medical support during disasters and trauma treatment education, aiming to enhance procedural guidance and training effectiveness in resource-limited and high-risk environments. The system consists of a remote support system for trauma treatment and a …

jp (code pays fourni par la source)

0 citations Journal of Robotics and Mechatronics
2026 conference-abstract OpenAlex

Whole-genome sequencing–based ultra-sensitive ctDNA molecular residual disease assessment in resectable gastric cancer: Results from MONSTAR-SCREEN-3.

Etsuro Bando, Masahiro Yura, Yusuke Koseki, Itaru Yasufuku et autres

4081 Background: Circulating tumor DNA (ctDNA) has emerged as a promising biomarker for post-surgical molecular residual disease (MRD) detection; however, its clinical utility in gastric cancer remains poorly defined. The MONSTAR-SCREEN-3 evaluates the clinical performance of a whole-genome sequencing (WGS)–based MRD assay …

jp, us (code pays fourni par la source)

0 citations Journal of Clinical Oncology
Accès ouvert 2026 article OpenAlex

Relationship between remission rate of type 2 diabetes and skeletal muscle after laparoscopic sleeve gastrectomy

Hironobu Takano, Yuma Ebihara, Yuki Oe, Hideyuki Wada et autres

Bariatric surgery can contribute to weight loss and the improvement of obesity-related diseases. Laparoscopic sleeve gastrectomy (LSG) is among the most frequently performed procedures worldwide, including in Japan. Skeletal muscle plays an essential role in energy metabolism and whole-body glucose homeostasis, and …

jp (code pays fourni par la source)

0 citations Biomedical Reports
2026 article OpenAlex

Comparison of D2 and Non-D2 Lymphadenectomy in Older Patients (≥75 years) Undergoing Minimally Invasive Distal Gastrectomy for Gastric Cancer: A Multicenter Retrospective Propensity Score-matched Analysis

YUMA EBIHARA, Noriaki Kyogoku, Hironobu Takano, Hideyuki Wada et autres

Background/Aim: This multicenter retrospective cohort study with propensity score matching (PSM) evaluated the surgical outcomes and prognosis of minimally invasive distal gastrectomy (MIDG) with D2 lymphadenectomy (LND) in older patients (≥75 years) with gastric cancer (GC). Patients and Methods: We retrospectively enrolled …

jp (code pays fourni par la source)

0 citations Anticancer Research
2026 article OpenAlex

Prototype XR Elastodynamics System for Disaster Medical Response

Xu Wang, Daichi Aoki, Soichi Murakami, Takashi Shimoe et autres

ABSTRACT This paper presents a prototype XR system for disaster medical response, demonstrating the feasibility of real‐time interactive elastodynamics simulations in emergency scenarios. The system delivers an end‐to‐end workflow utilizing XR technology, from on‐site data acquisition to remote simulation. Specifically, we propose …

jp (code pays fourni par la source)

1 citation Computer Animation and Virtual Worlds
Accès ouvert 2026 article OpenAlex

Male Sex as a Risk Factor for Perioperative Morbidity and Recurrence Following Minimally Invasive Distal Gastrectomy for Gastric Cancer: A Propensity Score Matching Analysis

YUMA EBIHARA, Noriaki Kyogoku, Hironobu Takano, Hideyuki Wada et autres

Background/Aim: This study aimed to investigate the effect of sex-related differences on surgical outcomes, postoperative complications, and prognosis in patients undergoing minimally invasive distal gastrectomy (MIDG) for gastric cancer (GC). Patients and Methods: We retrospectively analyzed 988 patients who underwent MIDG for …

jp (code pays fourni par la source)

0 citations In Vivo
Accès ouvert 2026 article OpenAlex

Deep Learning-Based Pose and Shape Estimation of the Human Body at a Disaster Site Utilizing Synthetic Disaster Scene Generation

Ken Nishioka, Zechen Zhou, Satoshi Kanai, Hiroaki Date et autres

Computer-Aided Design and Applications is an international journal on the applications of CAD and CAM. It publishes papers in the general domain of CAD plus in emerging fields like bio-CAD, nano-CAD, soft-CAD, garment-CAD, PLM, PDM, CAD data mining, CAD and the internet, …

0 citations Computer-Aided Design and Applications
2026 conference-paper OpenAlex

Evaluation of Surgical Skills Using Machine Learning and Interpretation of Results with Explainable AI in Practical Laparoscopic Surgery Training

Lingbo Yan, Takashige Abe, Koki Ebina, Masafumi Kon et autres

To facilitate efficient laparoscopic surgical education, a system was developed that utilizes machine learning to classify surgical skill levels—novice, intermediate, and expert—based on the motion dynamics of surgical instruments. This system not only categorizes surgical proficiency but also incorporates SHAP, an Explainable …

jp (code pays fourni par la source)

0 citations
2026 conference-paper OpenAlex

Motion Capture and Machine Learning-Based Evaluation of Surgical Skills in Laparoscopic Cadaver Training*

Lingbo Yan, Takashige Abe, Koki Ebina, Masafumi Kon et autres

To promote efficient laparoscopic surgery education, a system utilizing machine learning has been developed to quantify surgical skill levels based on the movement of surgical instruments. In this system, the movements of surgical instruments operated by surgeons during laparoscopic cadaver surgery training …

jp (code pays fourni par la source)

0 citations

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