Evidence map›Paper›PMID 39549582›Full record

ArticleInternational journal of surgery case reports2024

Utility of near-infrared fluorescent clip for the robot-assisted gastrectomy: Report of 2 cases (case series).

Kenji Takeshita, Naoto Takahashi, Yuta Takano, Naoki Toya, Fumiaki Yano, Ken Eto

Abstract read
In one paragraph

Article in International journal of surgery case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Robotic-Assisted Vascular Surgery: A Clinical Perspective.Methodist DeBakey cardiovascular journal · 2025
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kenji TakeshitaDepartment of Surgery, The Jikei University Kashiwa Hospital, Japan.
Naoto TakahashiDepartment of Surgery, The Jikei University Kashiwa Hospital, Japan. Electronic address: ntakahashi@jikei.ac.jp.
Yuta TakanoDepartment of Surgery, The Jikei University Kashiwa Hospital, Japan. Electronic address: yu-ta.tkn@kvd.biglobe.ne.jp.
Naoki ToyaDepartment of Surgery, The Jikei University Kashiwa Hospital, Japan.
Fumiaki YanoDepartment of Surgery, The Jikei University, Tokyo, Japan.
Ken EtoDepartment of Surgery, The Jikei University, Tokyo, Japan. Electronic address: etoken@cg7.so-net.ne.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and importanceThe importance of preoperative tumor site marking has increased over the years, as the method of intraoperative primary lesion identification and determination of resection margins is one factor determining whether oncological safety and function-preserving gastrectomy are possible during surgery. We hypothesize that preoperative placement of the near-infrared fluorescent (NIRF) clip, ZEOCLIP FS, near the oral incision line of the gastric tumor will allow for Firefly recognition of the NIRF clip on da Vinci during surgery and easy determination of the tumor location and incision line. Hence, we report on two cases in which the procedure was performed. CASE PRESENTATION: Case 1: A 62-year-old woman was diagnosed with early gastric cancer of 35 mm in size located in the greater curvature of the gastric angle and underwent robot-assisted distal gastrectomy. NIRF clips were placed around the negative biopsy-confirmed area on the tumor's oral side by endoscopy on the day before surgery. The clips were identified intraoperatively in Firefly mode, and we performed gastrectomy without using an intraoperative endoscope. Case 2: A 60-year-old man was diagnosed with early gastric cancer 40 mm in size on the anterior wall of the gastric angle and underwent robot-assisted distal gastrectomy. Similarly, NIRF clips were placed around the site of negative biopsy confirmation the day before surgery. NIRF clips were identified, and we performed gastrectomy. CLINICAL DISCUSSION: The time taken to mark the gastric resection line after activating the Firefly imaging system was 120 and 154 s, respectively, and intraoperative endoscopy was not required. The advantage of our two-step method is that a surgeon can mark the clips the day before the surgery, even if they are not endoscopists. Increasing the recognition rate of fluorescent clips and preventing their remains are future issues.

conclusionBased on the results of the above two cases, ZEOCLIP FS is influential in determining the tumor's location and the resection line.

Indexed as

Case seriesGastric cancerNear-infrared fluorescent (NIRF) clipRobot-assisted gastrectomy

Identifiers

PMID39549582
PMCPMC11615108

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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.