ReviewEndocrine2019
F18-choline/C11-choline PET/CT thyroid incidentalomas.
Review in Endocrine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06852144 (Ruolo Della PET/TC Nella Valutazione di Patologia Tiroidea in un Centro di Medicina Nucleare ad Alto Volume Diagnostico), which is not on this map. Cited by 8 papers, 2 of them syntheses that pooled 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.
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.
Ruolo Della PET/TC Nella Valutazione di Patologia Tiroidea in un Centro di Medicina Nucleare ad Alto Volume Diagnostico
Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Nuclear medicine imaging modalities to detect incidentalomas and their impact on patient management: a systematic review.Journal of cancer research and clinical oncology · 2024Pooled it
- The dilemma ofEndocrine · 2021Pooled it
- Papillary Thyroid Microcarcinomas Detected by Nuclear Medicine Imaging: Distinct Clinicopathological Features Compared with Conventional Modalities.Molecular imaging and radionuclide therapy · 2026Article
- Current Advances in Radioactive Iodine-Refractory Differentiated Thyroid Cancer.Current oncology (Toronto, Ont.) · 2024Review
- Prevalence of Brain Incidental Lesions Detected byMedicina (Kaunas, Lithuania) · 2022Article
- Unusual uptakes onQuantitative imaging in medicine and surgery · 2021Article
- Evaluation of Malignancy Risk in 18F-FDG PET/CT Thyroid Incidentalomas.Diagnostics (Basel, Switzerland) · 2019Article
- PET/CT in thyroid nodule and differentiated thyroid cancer patients. The evidence-based state of the art.Reviews in endocrine & metabolic disorders · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThyroid incidentaloma is defined as a thyroid lesion incidentally and newly detected by imaging techniques performed for an unrelated purpose and especially for a non-thyroid disease. Aim of this review is to evaluate the prevalence and clinical significance of focal incidental radiolabelled choline uptake in the thyroid gland (CTI) revealed by PET or PET/CT.
methodsA comprehensive computer literature search of the PubMed/MEDLINE, Scopus, and Embase databases was conducted to find relevant published articles about the prevalence and clinical significance of CTIs detected by PET or PET/CT in patients studied for other oncologic purposes.
resultsFifteen articles (14 case reports, one retrospective study on a larger population sample) were included in the systematic review. Considering the case reports, 7/14 CTIs were benign and 7/14 malignant. In the retrospective study on a larger population sample, 14/15 CTIs which underwent further investigations were benign.
conclusionDespite very rare but probably underestimated, CTIs frequently signal in the presence of unexpected lesions in the thyroid that differ from the indicated reason for which the patient was initially scanned, and the risk of malignancy is not negligible.
Indexed as
Identifiers
30637562What OpenQuestion holds
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.