Evidence map›Paper›PMID 32680492›Full record

SynthesisBMC surgery2020

Indocyanine green fluorescence-guided intraoperative detection of peritoneal carcinomatosis: systematic review.

Gian Luca Baiocchi, Federico Gheza, Sarah Molfino, Luca Arru, Marco Vaira, Simone Giacopuzzi

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05687617 (Diagnostic Value of Intraoperative Near-infrared Imaging With Indocyanine Green for Detection of Peritoneal Metastases During Staging Laparoscopy for Gastric Adenocarcinoma), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.1field-weighted citation impact, top 3% 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.

NCT05687617 phase2terminatednot on this mapstarted 2022, after this paper: background citation

Diagnostic Value of Intraoperative Near-infrared Imaging With Indocyanine Green for Detection of Peritoneal Metastases During Staging Laparoscopy for Gastric Adenocarcinoma: a Prospective, Multicentric Study.

TypeinterventionalSponsorLaval UniversityRan2022 to 2024Enrolled11ConditionsGastric Cancer, Gastric Adenocarcinoma, Peritoneal Carcinomatosis, Peritoneal MetastasesArmsIndocyanine green
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
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  5. Review
  6. Indocyanine green: The guide to safer and more effective surgery.World journal of gastrointestinal surgery · 2024
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  8. Review
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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

6 authors at 5 institutions in 2 countries.

Gian Luca BaiocchiDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy. baiocchi@med.unibs.it.ORCID http://orcid.org/0000-0003-2402-2178
Federico GhezaDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Sarah MolfinoDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Luca ArruCentre Hospitalier de Luxembourg, Service de Chirurgie Generale, Luxemborg City, Luxembourg.
Marco VairaOncoteam Peritoneal Surface Malignancies, SICO (Italian Society of Surgical Oncology), Brescia, Italy.
Simone GiacopuzziDepartment of Surgery, General and Upper G.I. Surgery Division, University of Verona, Verona, Italy.
University of Brescia · ITAssociazione Italiana Di Oncologia Medica · ITCandiolo Cancer Institute · ITCentre Hospitalier de Luxembourg · LUUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo review the available clinical data about the value of Indocyanine Green (ICG) fluorescence imaging for intraoperative detection of peritoneal carcinomatosis.

methodsWe conducted a systematic review, according to the PRISMA guidelines, for clinical series investigating the possible role of ICG fluorescence imaging in detecting peritoneal carcinomatosis during surgical treatment of abdominal malignancies. With the aim to analyze actual application in the daily clinical practice, papers including trials with fluorophores other than ICG, in vitro and animals series were excluded. Data on patients and cancer features, timing, dose and modality of ICG administration, sensitivity, specificity and accuracy of fluorescence diagnosis of peritoneal nodules were extracted and analyzed.

resultsOut of 192 screened papers, we finally retrieved 7 series reporting ICG-guided detection of peritoneal carcinomatosis. Two papers reported the same cases, thus only 6 series were analyzed, for a total of 71 patients and 353 peritoneal nodules. The investigated tumors were colorectal carcinomas in 28 cases, hepatocellular carcinoma in 16 cases, ovarian cancer in 26 cases and endometrial cancer in 1 case. In all but 4 cases, the clinical setting was an elective intervention in patients known as having peritoneal carcinomatosis. No series reported a laparoscopic procedure. Technical data of ICG management were consistent across the studies. Overall, 353 lesions were harvested and singularly evaluated. Sensitivity varied from 72.4 to 100%, specificity from 54.2 to 100%. Two series reported that planned intervention changed in 25 and 29% of patients, respectively.

conclusionIndocyanine Green based fluorescence of peritoneal carcinomatosis is a promising intraoperative tool for detection and characterization of peritoneal nodules in patients with colorectal, hepatocellular, ovarian carcinomas. Further prospective studies are needed to fix its actual diagnostic value on these and other abdominal malignancies with frequent spread to peritoneum.

Indexed as

Colorectal NeoplasmsIndocyanine GreenPeritoneal NeoplasmsAnimalsHumansProspective StudiesIndocyanine GreenColorectal cancerFluorescenceGastric cancerIndocyanine greenOvarian cancerPeritoneal carcinomatosis

Identifiers

PMID32680492
PMCPMC7367360
OpenAlexW3043764834

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.