Evidence map›Paper›PMID 37190175›Full record

ArticleCancers2023

Mapping the Lymphatic Drainage Pattern of Esophageal Cancer with Near-Infrared Fluorescent Imaging during Robotic Assisted Minimally Invasive Ivor Lewis Esophagectomy (RAMIE)-First Results of the Prospective ESOMAP Feasibility Trial.

Dolores T Müller, Lars M Schiffmann, Alissa Reisewitz, Seung-Hun Chon, Jennifer A Eckhoff, Benjamin Babic, Thomas Schmidt, Wolfgang Schröder, Christiane J Bruns, Hans F Fuchs

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
4 · The record

Corrections and comments

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

10 authors at 2 institutions in 1 country.

Dolores T MüllerDepartment of General, Visceral, Cancer and Transplant Surgery, University of Cologne, Kerpener Str. 62, D-50937 Cologne, Germany.ORCID 0000-0002-1833-5664
Lars M SchiffmannDepartment of General, Visceral, Cancer and Transplant Surgery, University of Cologne, Kerpener Str. 62, D-50937 Cologne, Germany.
Alissa ReisewitzDepartment of General, Visceral, Cancer and Transplant Surgery, University of Cologne, Kerpener Str. 62, D-50937 Cologne, Germany.ORCID 0009-0007-9138-2305
Seung-Hun ChonDepartment of General, Visceral, Cancer and Transplant Surgery, University of Cologne, Kerpener Str. 62, D-50937 Cologne, Germany.ORCID 0000-0002-8923-6428
Jennifer A EckhoffDepartment of General, Visceral, Cancer and Transplant Surgery, University of Cologne, Kerpener Str. 62, D-50937 Cologne, Germany.
Benjamin BabicCenter for Esophagogastric Cancer Surgery Frankfurt, St. Elisabethen Hospital Frankfurt, D-60487 Frankfurt am Main, Germany.ORCID 0000-0003-0313-6862
Thomas SchmidtDepartment of General, Visceral, Cancer and Transplant Surgery, University of Cologne, Kerpener Str. 62, D-50937 Cologne, Germany.ORCID 0000-0002-7166-3675
Wolfgang SchröderDepartment of General, Visceral, Cancer and Transplant Surgery, University of Cologne, Kerpener Str. 62, D-50937 Cologne, Germany.ORCID 0000-0002-8700-069X
Christiane J BrunsDepartment of General, Visceral, Cancer and Transplant Surgery, University of Cologne, Kerpener Str. 62, D-50937 Cologne, Germany.
Hans F FuchsDepartment of General, Visceral, Cancer and Transplant Surgery, University of Cologne, Kerpener Str. 62, D-50937 Cologne, Germany.ORCID 0000-0003-4764-8050
University of Cologne · DESt. Elisabethen-Krankenhaus Frankfurt · DE

Funding

Intuitive Surgical (United States) not available
6 · The paper itself

Abstract

While the sentinel lymph node concept is routinely applied in other surgical fields, no established and valid modality for lymph node mapping for esophageal cancer surgery currently exists. Near-infrared light fluorescence (NIR) using indocyanine green (ICG) has been recently proven to be a safe technology for peritumoral injection and consecutive lymph node mapping in small surgical cohorts, mostly without the usage of robotic technology. The aim of this study was to identify the lymphatic drainage pattern of esophageal cancer during highly standardized RAMIE and to correlate the intraoperative images with the histopathological dissemination of lymphatic metastases. Patients with clinically advanced stage squamous cell carcinoma or adenocarcinoma of the esophagus undergoing a RAMIE at our Center of Excellence for Surgery of the Upper Gastrointestinal Tract were prospectively included in this study. Patients were admitted on the day prior to surgery, and an additional EGD with endoscopic injection of the ICG solution around the tumor was performed. Intraoperative imaging procedures were performed using the Stryker 1688 or the FIREFLY fluorescence imaging system, and resected lymph nodes were sent to pathology. A total of 20 patients were included in the study, and feasibility and safety for the application of NIR using ICG during RAMIE were shown. NIR imaging to detect lymph node metastases can be safely performed during RAMIE. Further analyses in our center will focus on pathological analyses of ICG-positive tissue and quantification using artificial intelligence tools with a correlation of long-term follow-up data.

Indexed as

esophageal cancerindocyanine green (ICG)lymph node mappingnear-infrared fluorescence imagingrobotic-assisted minimally invasive esophagectomy (RAMIE)

Identifiers

PMID37190175
PMCPMC10136653
OpenAlexW4365142517

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.