Evidence map›Paper›PMID 35280053›Full record

ArticleJournal of surgical case reports2022

Fluorescence-guided laparoscopic lymph node biopsy in a lymphoma patient: a possible new clinical application of indocyanine green.

Marco Casaccia, Tommaso Testa, Sofia Paola Martigli, Matteo Santoliquido, Roberto Massimo Lemoli

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of surgical case reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Marco CasacciaSurgical Clinic Unit I, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.ORCID https://orcid.org/0000-0001-5048-5091
Tommaso TestaSurgical Clinic Unit I, Department of Surgery, San Martino Hospital, Genoa, Italy.
Sofia Paola MartigliSurgical Clinic Unit I, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.
Matteo SantoliquidoSurgical Clinic Unit I, Department of Surgery, San Martino Hospital, Genoa, Italy.
Roberto Massimo LemoliDepartment of Internal Medicine (DiMI), Clinic of Hematology, University of Genoa, Genoa, Italy.
University of Genoa · ITOspedale Policlinico San Martino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, there are no reports indicating the use of indocyanine green (ICG) fluorescence to detect pathologic lymphatic tissue when a laparoscopic lymph node biopsy (LLB) for suspected new or recurrent lymphoma is performed. We present the case of a 72-year-old female patient admitted for suspicion of recurrent lymphoma. A preoperative imaging work-up showed solid tissue enveloping the terminal portion of the abdominal aorta with a standardized uptake value (SUV) of 10. Therefore, an LLB was planned. After induction of anesthesia, a ICG solution was injected intravenously and subcutaneously at both inguinal regions. At laparoscopy, a complete visualization of the pathologic lymph nodes was achieved, enabling an incisional biopsy of the lymphomatous mass. LLB with ICG-fluorescence offers a simple and safe method for pathologic lymph node detection in the suspicion of intra-abdominal lymphoma. More studies with large case series are needed to confirm the efficacy of this application.

Indexed as

ICGindocyanine greenlaparoscopic biopsylaparoscopic surgerylymphoma

Identifiers

PMID35280053
PMCPMC8906842
OpenAlexW4210947652

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.