Evidence map›Paper›PMID 37165173›Full record

ArticleSurgical endoscopy2023

Preclinical evaluation of sentinel node localization in the stomach via mannose-labelled magnetic nanoparticles and indocyanine green.

Aidan Cousins, Shridhar Krishnan, Giri Krishnan, Nguyen Pham, Valentina Milanova, Melanie Nelson, Anil Shetty, Naruhiko Ikoma, Benjamin Thierry

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 14% 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, 7 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Aidan CousinsFuture Industries Institute, University of South Australia, Mawson Lakes Campus, Adelaide, SA, 5095, Australia. aidan.cousins@unisa.edu.au.ORCID http://orcid.org/0000-0002-2986-422X
Shridhar KrishnanDepartment of Oral and Maxillofacial Surgery, The University of Adelaide, Adelaide, SA, 5000, Australia.
Giri KrishnanDepartment of Otolaryngology, Head and Neck Surgery, The University of Adelaide, Adelaide, SA, 5000, Australia.
Nguyen PhamKey Centre for Polymers and Colloids, School of Chemistry and University of Sydney Nano Institute, The University of Sydney, Sydney, NSW, 2006, Australia.
Valentina MilanovaFuture Industries Institute, University of South Australia, Mawson Lakes Campus, Adelaide, SA, 5095, Australia.
Melanie NelsonFerronova Pty Ltd, MM-Building, Minerals Lane, Mawson Lakes, SA, 5095, Australia.
Anil ShettyFerronova Pty Ltd, MM-Building, Minerals Lane, Mawson Lakes, SA, 5095, Australia.
Naruhiko IkomaDepartment of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Benjamin ThierryFuture Industries Institute, University of South Australia, Mawson Lakes Campus, Adelaide, SA, 5095, Australia.
University of South Australia · AUThe University of Adelaide · AUThe University of Sydney · AUThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastrectomy with extended (D2) lymphadenectomy is considered standard of care for gastric cancer to provide the best possible outcomes and pathologic staging. However, D2 gastrectomy is a technically demanding operation and reported to be associated with increased complications and mortality. Application of sentinel lymph node (SLN) concept in gastric cancer has the potential to reduce patient morbidity; however, SLN techniques are not established for gastrectomy, in part due to lack of practical tracers. An effective and convenient tracer with enhanced SLN accumulation is critically needed.

methodsMannose-labelled magnetic tracer 'FerroTrace' and fluorescent dye indocyanine green (ICG) were injected laparoscopically into the stomach submucosa of 8 healthy swine under general anaesthesia. Intraoperative fluorescence imaging was used to highlight draining lymphatic pathways containing ICG, while preoperative T2-weighted MRI and ex vivo magnetometer probe measurements were used to identify nodes containing FerroTrace. Lymphadenectomy was performed either robotically (n = 2) or via laparotomy (n = 6).

resultsMixing ICG and FerroTrace ensured concurrence of fluorescent and magnetic signals in SLNs. An initial trial with robotic dissection removed all magnetic LNs (n = 4). In the subsequent laparotomy study that targeted all ICG-LNs based on intraoperative fluorescence imaging, dissection removed an average of 4.7 ± 1.2 fluorescent, and 2.0 ± 1.3 magnetic LNs per animal. Both MRI and magnetometer detected 100% of SLNs (n = 7). FerroTrace demonstrated high specificity to SLNs, which contained 76 ± 30% of total lymphotropic iron, and 88 ± 20 % of the overall magnetometer signal.

conclusionsThrough utilisation of this dual tracer approach, SLNs were identified via preoperative MRI, visualised intraoperatively with fluorescence imaging, and confirmed with a magnetometer. This combination pairs the sensitivity of ICG with SLN-specific FerroTrace and can be used for reliable SLN detection in gastric cancer, with potential applications in neoadjuvant therapy.

Indexed as

Magnetite NanoparticlesSentinel Lymph NodeStomach NeoplasmsAnimalsColoring AgentsFluorescent DyesIndocyanine GreenLymph Node ExcisionLymph NodesMannoseSentinel Lymph Node BiopsySwineColoring AgentsFluorescent DyesIndocyanine GreenMagnetite NanoparticlesMannoseDual modalityGastric cancerIndocyanine greenMagnetic nanoparticlesMRISentinel lymph node

Identifiers

PMID37165173
PMCPMC10338612
OpenAlexW4376131031

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.