Evidence map›Paper›PMID 31741099›Full record

SynthesisTechniques in coloproctology2019

Near-infrared fluorescence imaging for sentinel lymph node identification in colon cancer: a prospective single-center study and systematic review with meta-analysis.

M Ankersmit, H J Bonjer, G Hannink, L J Schoonmade, M H G M van der Pas, W J H J Meijerink

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Techniques in coloproctology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
3.2field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 60 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

6 authors at 3 institutions in 1 country.

M AnkersmitDepartment of Surgery, Cancer Center Amsterdam, Amsterdam UMC-Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands. m.ankersmit1@vumc.nl.ORCID http://orcid.org/0000-0002-4256-3720
H J BonjerDepartment of Surgery, Cancer Center Amsterdam, Amsterdam UMC-Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands.
G HanninkDepartment of Operating Rooms and MITeC Technology Center, Radboud University Medical Center, Nijmegen, The Netherlands.
L J SchoonmadeMedical Library, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
M H G M van der PasDepartment of Surgery, Meander Medisch Centrum, Amersfoort, The Netherlands.
W J H J MeijerinkDepartment of Operating Rooms and MITeC Technology Center, Radboud University Medical Center, Nijmegen, The Netherlands.
Amsterdam University Medical Centers · NLRadboud University Nijmegen · NLMeander Medisch Centrum · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNear-infrared (NIR) fluorescence imaging has the potential to overcome the current drawbacks of sentinel lymph node mapping (SLNM) in colon cancer. Our aim was to provide an overview of current SLNM performance and of factors influencing successful sentinel lymph node (SLN) identification using NIR fluorescence imaging in colon cancer.

methodsA systematic review and meta-analysis was conducted to identify currently used methods and results. Additionally, we performed a single-center study using indocyanine green (ICG) as SLNM dye in colon cancer patients scheduled for a laparoscopic colectomy. SLNs were analyzed with conventional hematoxylin-and-eosin staining and additionally with serial sectioning and immunohistochemistry (extended histopathological assessment). A true-positive procedure was defined as a tumor-positive SLN either by conventional hematoxylin-and-eosin staining or by extended histopathological assessment, independently of regional lymph node status. SLN procedures were determined to be true negatives if SLNs and regional lymph nodes revealed no metastases after conventional and advanced histopathology. SLN procedures yielding tumor-negative SLNs in combination with tumor-positive regional lymph nodes were classified as false negatives. Sensitivity, negative predictive value and detection rate were calculated.

resultsThis systematic review and meta-analysis included 8 studies describing 227 SLN procedures. A pooled sensitivity of 0.63 (95% CI 0.51-0.74), negative predictive value 0.81 (95% CI 0.73-0.86) and detection rate of 0.94 (95% CI 0.85-0.97) were found. Upstaging as a result of extended histopathological assessment was 0.15 (95% CI 0.07-0.25). In our single-center study, we included 30 patients. Five false-negative SLNs were identified, resulting in a sensitivity of 44% and negative predictive value of 80%, with a detection rate of 89.7%. Eight patients had lymph node metastases, in three cases detected after extended pathological assessment, resulting in an upstaging of 13% (3 of 23 patients with negative nodes by conventional hematoxylin and eosin staining).

conclusionsSeveral anatomical and technical difficulties make SLNM with NIR fluorescence imaging in colon cancer particularly challenging when compared to other types of cancer. As a consequence, reports of SLNM accuracy vary widely. Future studies should try to standardize the SLNM procedure and focus on early-stage colon tumors, validation of tracer composition, injection mode and improvement of real-time optical guidance.

Indexed as

Colonic NeoplasmsColoring AgentsFalse Negative ReactionsHumansIndocyanine GreenLymphatic MetastasisLymph Node ExcisionNeoplasm StagingOptical ImagingPredictive Value of TestsProspective StudiesSentinel Lymph NodeColoring AgentsIndocyanine GreenColon cancerIndocyanine greenIRDye800CWSentinel lymph node

Identifiers

PMID31741099
PMCPMC6890578
OpenAlexW2988667882

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.