Evidence map›Paper›PMID 35389070›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2022

Intraoperative MET-receptor targeted fluorescent imaging and spectroscopy for lymph node detection in papillary thyroid cancer: novel diagnostic tools for more selective central lymph node compartment dissection.

Pascal K C Jonker, Madelon J H Metman, Luc H J Sondorp, Mark S Sywak, Anthony J Gill, Liesbeth Jansen, Thera P Links, Paul J van Diest, Tessa M van Ginhoven, Clemens W G M Löwik and 7 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03470259 (Detection of Thyroid Cancer and Central Lymph Node Metastases Using EMI-137 Enhanced Molecular Fluorescent Guided Imaging), 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
2.8field-weighted citation impact, top 8% 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.

NCT03470259 phase1completednot on this map

Detection of Thyroid Cancer and Central Lymph Node Metastases Using EMI-137 Enhanced Molecular Fluorescent Guided Imaging: a Multicentre Feasibility and

TypeinterventionalSponsorUniversity Medical Center GroningenRan2018 to 2019Enrolled19ConditionsPapillary Thyroid Cancer, Lymph Node MetastasesArmsIV adminstration of EMI-137, Multispectral Fluorescence Reflectance Imaging, Spectroscopy
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 21 citations in OpenAlex.

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  11. The value ofCancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  12. Targeting c-MET for Endoscopic Detection of Dysplastic Lesions within Barrett's Esophagus Using EMI-137 Fluorescence Imaging.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  13. Article
  14. Fiat lux: the dawn of fluorescence in molecular imaging of differentiated thyroid cancer.European journal of nuclear medicine and molecular imaging · 2024
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  15. Article
  16. Evaluation of [Pharmaceutics · 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

17 authors at 6 institutions in 3 countries.

Pascal K C JonkerDepartment of Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, 9713, GZ, the Netherlands.
Madelon J H MetmanDepartment of Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, 9713, GZ, the Netherlands.
Luc H J SondorpDepartment of Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, 9713, GZ, the Netherlands.
Mark S SywakDepartment of Endocrine Surgery and Surgical Oncology, Royal North Shore Hospital, St Leonards, Australia.
Anthony J GillDepartment of Anatomical Pathology, NSW Health Pathology, Royal North Shore Hospital, St Leonards, Australia.
Liesbeth JansenDepartment of Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, 9713, GZ, the Netherlands.
Thera P LinksDepartment of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Paul J van DiestDepartment of Pathology, University Medical Center Utrecht, Utrecht, the Netherlands.
Tessa M van GinhovenDepartment of Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
Clemens W G M LöwikDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands.
Anh H NguyenDepartment of Pathology, Erasmus MC, Rotterdam, the Netherlands.
Robert P CoppesDepartment of Biomedical Sciences of Cell & Systems - Section Molecular Cell Biology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Dominic J RobinsonDepartment of Otorhinolaryngology and Head and Neck Surgery, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
Gooitzen M van DamDepartment of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Bettien M van HemelDepartment of Pathology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Rudolf S N FehrmannDepartment of Medical Oncology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Schelto KruijffDepartment of Surgery, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, 9713, GZ, the Netherlands. s.kruijff@umcg.nl.ORCID 0000-0002-5151-7320
University Medical Center Groningen · NLErasmus MC · NLErasmus MC Cancer Institute · NLRoyal North Shore Hospital · AUThe University of Sydney · AUUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePatients undergoing prophylactic central compartment dissection (PCLND) for papillary thyroid cancer (PTC) are often overtreated. This study aimed to determine if molecular fluorescence-guided imaging (MFGI) and spectroscopy can be useful for detecting PTC nodal metastases (NM) and to identify negative central compartments intraoperatively.

methodsWe used a data-driven prioritization strategy based on transcriptomic profiles of 97 primary PTCs and 80 normal thyroid tissues (NTT) to identify tumor-specific antigens for a clinically available near-infrared fluorescent tracer. Protein expression of the top prioritized antigen was immunohistochemically validated with a tissue microarray containing primary PTC (n = 741) and NTT (n = 108). Staining intensity was correlated with 10-year locoregional recurrence-free survival (LRFS). A phase 1 study (NCT03470259) with EMI-137, targeting MET, was conducted to evaluate safety, optimal dosage for detecting PTC NM with MFGI, feasibility of NM detection with quantitative fiber-optic spectroscopy, and selective binding of EMI-137 for MET.

resultsMET was selected as the most promising antigen. A worse LRFS was observed in patients with positive versus negative MET staining (81.9% versus 93.2%; p = 0.02). In 19 patients, no adverse events related to EMI-137 occurred. 0.13 mg/kg EMI-137 was selected as optimal dosage for differentiating NM from normal lymph nodes using MFGI (p < 0.0001) and spectroscopy (p < 0.0001). MFGI identified 5/19 levels (26.3%) without NM. EMI-137 binds selectively to MET.

conclusionMET is overexpressed in PTC and associated with increased locoregional recurrence rates. Perioperative administration of EMI-137 is safe and facilitates NM detection using MFGI and spectroscopy, potentially reducing the number of negative PCLNDs with more than 25%. CLINICAL

trial registrationNCT03470259.

Indexed as

CarcinomaCarcinoma, PapillaryThyroid NeoplasmsHumansLymph NodesNeoplasm Recurrence, LocalSpectrum AnalysisThyroid Cancer, PapillaryThyroidectomyLymph node imagingMolecular fluorescence-guided imagingPapillary thyroid cancerSpectroscopy

Identifiers

PMID35389070
PMCPMC9308606
OpenAlexW4225666911

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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.