Evidence map›Paper›PMID 42836713›Full record

ArticleMolecular imaging and radionuclide therapy2026

Papillary Thyroid Microcarcinomas Detected by Nuclear Medicine Imaging: Distinct Clinicopathological Features Compared with Conventional Modalities.

Seda Hanife Oğuz, İpek Çınar, Banu Ertürk, Gürsan Kaya, Cenk Sökmensüer, Jale Karakaya, Murat Fani Bozkurt, Alper Gürlek

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Article in Molecular imaging and radionuclide therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Seda Hanife OğuzHacettepe University Faculty of Medicine, Department of Endocrinology and Metabolism, Ankara, Türkiye.ORCID 0000-0002-7781-944X
İpek ÇınarHacettepe University Faculty of Medicine, Department of Internal Medicine, Ankara, Türkiye.ORCID 0009-0007-7355-3078
Banu ErtürkHacettepe University Faculty of Medicine, Department of Endocrinology and Metabolism, Ankara, Türkiye.ORCID 0000-0002-4861-6387
Gürsan KayaHacettepe University Faculty of Medicine, Department of Nuclear Medicine, Ankara, Türkiye.ORCID 0000-0003-3157-5782
Cenk SökmensüerHacettepe University Faculty of Medicine, Department of Pathology, Ankara, Türkiye.ORCID 0000-0001-7637-8745
Jale KarakayaHacettepe University Faculty of Medicine, Department of Biostatistics, Ankara, Türkiye.ORCID 0000-0002-7222-7875
Murat Fani BozkurtHacettepe University Faculty of Medicine, Department of Nuclear Medicine, Ankara, Türkiye.ORCID 0000-0003-2016-2624
Alper GürlekHacettepe University Faculty of Medicine, Department of Endocrinology and Metabolism, Ankara, Türkiye.ORCID 0000-0003-3697-271X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Papillary thyroid carcinomas detected by nuclear medicine imaging techniques may have a worse prognosis than those identified by conventional methods. However, it remains unclear whether this applies to papillary thyroid microcarcinomas (PTMCs). Methods: Patients diagnosed with PTMC at Hacettepe University Faculty of Medicine between 2008 and 2020 were categorized into three groups: (1) incidental PTMCs (Inc-PTMC; n=249), (2) non-incidental PTMCs (NonInc-PTMC; n=134), and (3) PTMCs detected by nuclear medicine imaging methods (NM-PTMC; n=24). Tumor pathological characteristics, including multifocality, extrathyroidal extension, vascular invasion, and lymph node involvement, were analyzed. Logistic regression analysis was performed to assess the association between detection method and tumor aggressiveness while adjusting for potential confounders. Results: Patients in NM-PTMC group were significantly older at diagnosis (54.7±11.2 years) than those in Inc-PTMC (51.1±11.3 years) and NonInc-PTMC (46.9±11.7 years, p=0.001) groups. Tumor size was larger in NM-PTMCs (4.8±2.5 mm) and NonInc-PTMCs (5.3±2.2 mm) compared to Inc-PTMCs (3.4±2.4 mm, p<0.0001). Multiple logistic regression analysis revealed that NM-PTMCs had a markedly higher risk of cervical lymph node metastasis compared with both Inc-PTMCs [odds ratio (OR): 36.04; 95% confidence interval (CI): 6.02-215.59, p=0.001) and NonInc-PTMCs (OR: 8.68; 95% CI: 1.15-65.22, p=0.036). NM-PTMC also had an increased risk of positive surgical margins compared with Inc-PTMC (OR: 5.08; 95% CI: 1.57-16.39, p=0.006), whereas only NonInc-PTMC had a higher risk of extrathyroidal extension (OR: 3.19; 95% CI: 1.48-8.84, p=0.003). The detection method was not associated with multifocality. Conclusion: Nuclear medicine-detected PTMCs may differ in their clinicopathological profile from other PTMC subgroups and may represent an intermediate phenotype between Inc-PTMC and NonInc-PTMC.

Indexed as

18F-FDG PET/CTincidentanon-incidentalnuclear medicinePapillary thyroid microcarcinoma

Identifiers

PMID42836713
PMCPMC13640843

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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.