Evidence map›Paper›PMID 40087678›Full record

ArticleWorld journal of surgical oncology2025

Total laparoscopy-assisted total gastrectomy with Da Vinci robotic system conducted by robotic enhanced neurocomputing joint intelligence gastrointestinal surgery hub (RENJI-GISH): a preliminary clinical study and case report.

Zihang Liu, Jiayi Gu, Yeqian Zhang, Long Bai, Yujing Guan, Bo Ni, Haoyu Zhang, Muerzhate Aimaiti, Puhua Zhang, Xiaoyao Shen and 4 more

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Zihang Liu *Department of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jiayi GuDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yeqian ZhangDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Long BaiDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Yujing GuanDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Bo NiDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Haoyu ZhangDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Muerzhate AimaitiDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Puhua ZhangDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiaoyao ShenDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Shuchang WangDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ben YueDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Xiang XiaDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. xiangmoumou@163.com.
Zizhen ZhangDepartment of Gastrointestinal Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. zhangzizhen@renji.com.

Funding

National Natural Science Foundation of China the National Natural Science Foundation of ChinaThe Incubation Fund of Renji Hospital RJTJ22-MS-025The Shanghai "Rising Stars" Young Medical Talent Training Subsidy Program 2022-65
6 · The paper itself

Abstract

backgroundOn August 7, 2024, the inaugural total laparoscopy-assisted total gastrectomy with the Da Vinci robotic system was performed in the department of gastrointestinal surgery of Renji Hospital, Shanghai Jiaotong University School of Medicine. The procedure, conducted by RENJI-GISH, employed the use of a Da Vinci robot system in conjunction with the Vision Pro and SonoScape medical electronic endoscopy system. This phenomenon has not been documented in the field of gastric cancer surgery The objective of this study is to investigate the safety, feasibility, and surgical effect of the first total laparoscopy-assisted total gastrectomy with the Da Vinci robotic system, conducted by the Robotic Enhanced Neurocomputing Joint Intelligence Gastrointestinal Surgery Hub (RENJI-GISH). CASE PRESENTATION: A 71-year-old male patient was admitted to the hospital with a six-month history of nausea and vomiting. A gastric malignant tumor was identified through gastroscopic examination. The patient was diagnosed with cardiac adenocarcinoma by gastroscopy and pathology, and there were clear indications for surgical intervention, though no contraindications were identified. On August 7, 2024, the patient underwent a robot-assisted total laparoscopic gastrectomy under general anesthesia. During the surgical procedure, the Vision Pro and the electronic endoscopy system played a pivotal role in accurately identifying the location of the gastric lesions, confirming the resection margin of the tumor, and ensuring the safety of the anastomosis. The intraoperative blood loss was 20 ml, and the operative time was 180 min. On the third postoperative day, the patient passed flatus and was transitioned to a liquid diet on the fourth postoperative day. The patient was discharged on the seventh postoperative day, having not experienced any complications. The postoperative pathology report indicated that the lymph node dissection was complete (0/32), and no evidence of malignancy was identified in the upper and lower resection margins.

conclusionsThis case study illustrates the safety and feasibility of total laparoscopy-assisted total gastrectomy with the Da Vinci robotic system, performed by the robotic enhanced neurocomputing joint intelligence gastrointestinal surgery hub (RENJI-GISH). Further investigation and experimentation are necessary to fully elucidate the potential of this approach.

Indexed as

AdenocarcinomaGastrectomyLaparoscopyRobotic Surgical ProceduresStomach NeoplasmsAgedFeasibility StudiesHumansMaleApple vision proAugmented realityDa Vinci surgical robotIntelligent gastrointestinal surgery hubMixed realityRobotic enhanced neurocomputingTotal gastrectomyWearable space computing devices

Identifiers

PMID40087678
PMCPMC11907975

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.