Evidence map›Paper›PMID 28643063›Full record

Trial reportSurgical endoscopy2018

Intraoperative identification and analysis of lymph nodes at laparoscopic colorectal cancer surgery using fluorescence imaging combined with rapid OSNA pathological assessment.

Trevor M Yeung, Lai Mun Wang, Richard Colling, Rebecca Kraus, Ronan Cahill, Roel Hompes, Neil J Mortensen

Open access · hybridAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Surgical endoscopy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
0.7field-weighted citation impact, top 28% 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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  9. Prediction model of colorectal cancer (CRC) lymph node metastasis based on intestinal bacteria.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
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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

7 authors at 3 institutions in 1 country.

Trevor M YeungNuffield Department of Surgical Sciences, University of Oxford, Oxford, OX3 9DU, UK. trevor.yeung@nds.ox.ac.uk.
Lai Mun WangDepartment of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Richard CollingDepartment of Cellular Pathology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Rebecca KrausDepartment of Colorectal Surgery, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Ronan CahillMater Misericordiae University Hospital and UCD School of Medicine & Medical Science, Oxford, UK.
Roel HompesDepartment of Colorectal Surgery, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Neil J MortensenNuffield Department of Surgical Sciences, University of Oxford, Oxford, OX3 9DU, UK.
Oxford University Hospitals NHS Trust · GBScience Oxford · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStandard surgical practice for colorectal cancer involves resection of the primary lesion and all draining lymph nodes. Accurate intraoperative assessment of nodal status could allow stratified resectional extent. One-step nucleic acid (OSNA) can provide a rapid method of interrogating nodal tissue, whilst near-infrared (NIR) laparoscopy together with indocyanine green (ICG) can identify relevant nodal tissue intraoperatively.

methodsICG was administered around the tumour endoscopically prior to the operation. Fluorescent nodes identified by NIR were marked and submitted for whole-node OSNA analysis. Further fresh lymph nodes dissected from the standard resection specimen were examined and analysed by both conventional histology and OSNA. In addition, the status of the fluorescent nodes was compared to that of non-ICG nodes to assess their predictive value.

resultsSixteen patients were recruited with a total final lymph node count of 287. 78 fresh lymph nodes were identified on fresh dissection for both histological and OSNA assessment with an analytical concordance rate of 98.7% (77/78). OSNA sensitivity was 1 (0.81-1, 95% CI) and specificity 0.98 (0.91-1, 95% CI). Six patients had a total of nine nodes identified intraoperatively by ICG fluorescence. Of these nine nodes, one was positive for metastasis on OSNA. OSNA analysis of the ICG-labelled node matched the final histological nodal stage in 3/6 patients (two being N0 and one N1). The final pathological nodal stage of the other three was N1 or N2, while the ICG nodes were negative.

conclusionOSNA is highly concordant with standard histology, although only a minority of nodes identifiable by full pathological analysis were found for OSNA on fresh dissection. OSNA can be combined with NIR and ICG lymphatic mapping to provide intraoperative assessment of nodal tissue in patients with colorectal cancer.

Indexed as

AdultAgedColorectal NeoplasmsColoring AgentsFeasibility StudiesFemaleFluorescenceHumansIndocyanine GreenIntraoperative PeriodLaparoscopyLymphatic MetastasisLymph NodesMaleMiddle AgedNucleic Acid Amplification TechniquesColoring AgentsIndocyanine GreenRNA, NeoplasmColorectalFluorescenceImagingLymph NodeOSNA

Identifiers

PMID28643063
PMCPMC5772117
OpenAlexW2705365277

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.