ArticleEuropean journal of nuclear medicine and molecular imaging2024
MET-receptor targeted fluorescent imaging and spectroscopy to detect multifocal papillary thyroid cancer.
Article in European journal of nuclear medicine and molecular imaging, 2024. 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 9 papers.
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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.
Detection of Thyroid Cancer and Central Lymph Node Metastases Using EMI-137 Enhanced Molecular Fluorescent Guided Imaging: a Multicentre Feasibility and
Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Molecular imaging tracers targeting c-MET: a systematic review of preclinical evidence and clinical translation.European journal of nuclear medicine and molecular imaging · 2026Review
- Advances in Optical and Fluorescence Imaging for Surgical Management of Thyroid Cancer.Cancers · 2026Review
- Preclinical PET characterization of [EJNMMI research · 2026Article
- Combine mitochondrial-targeted gene therapy and chemotherapy to treat triple-negative breast cancer.Journal of experimental & clinical cancer research : CR · 2025Article
- Dead Cell Discrimination with Red Emissive Carbon Quantum Dots from the Medicinal and Edible Herb Echinophora tenuifolia.Journal of fluorescence · 2025Article
- 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 · 2025Article
- Tumour Marker Expression in Head and Neck Malignancies to Identify Potential Targets for Intraoperative Molecular Near-Infrared Imaging.Molecular diagnosis & therapy · 2024Article
- Intraoperative molecular imaging - a means to strengthen the connection between nuclear medicine and surgical disciplines.European journal of nuclear medicine and molecular imaging · 2024Article
- Fiat lux: the dawn of fluorescence in molecular imaging of differentiated thyroid cancer.European journal of nuclear medicine and molecular imaging · 2024Article
Corrections and comments
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Authors and funding
17 authors at 6 institutions in 3 countries.
Funding
Abstract
purposeMultifocal disease in PTC is associated with an increased recurrence rate. Multifocal disease (MD) is underdiagnosed with the current gold standard of pre-operative ultrasound staging. Here, we evaluate the use of EMI-137 targeted molecular fluorescence-guided imaging (MFGI) and spectroscopy as a tool for the intra-operative detection of uni- and multifocal papillary thyroid cancer (PTC) aiming to improve disease staging and treatment selection.
methodsA phase-1 study (NCT03470259) with EMI-137 was conducted to evaluate the possibility of detecting PTC using MFGI and quantitative fiber-optic spectroscopy.
resultsFourteen patients underwent hemi- or total thyroidectomy (TTX) after administration of 0.09 mg/kg (n = 1), 0.13 mg/kg (n = 8), or 0.18 mg/kg (n = 5) EMI-137. Both MFGI and spectroscopy could differentiate PTC from healthy thyroid tissue after administration of EMI-137, which binds selectively to MET in PTC. 0.13 mg/kg was the lowest dosage EMI-137 that allowed for differentiation between PTC and healthy thyroid tissue. The smallest PTC focus detected by MFGI was 1.4 mm. MFGI restaged 80% of patients from unifocal to multifocal PTC compared to ultrasound.
conclusionEMI-137-guided MFGI and spectroscopy can be used to detect multifocal PTC. This may improve disease staging and treatment selection between hemi- and total thyroidectomy by better differentiation between unifocal and multifocal disease.
trial registrationNCT03470259.
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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.