Evidence map›Paper›PMID 34082507›Full record

ArticleMolecular imaging and radionuclide therapy2021

The Role of Metabolic Volumetric Parameters in Predicting Malignancy in Incidental Thyroid Nodules Detected in

Mehmet Erdoğan, Hakan Korkmaz, Bora Torus, Mustafa Avcı, Şerife Mehtap Boylubay, Metin Çiriş, Mustafa Yıldız, Sevim Süreyya Şengül

Open access · diamondAbstract read
In one paragraph

Article in Molecular imaging and radionuclide therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Beyond the Primary Tumor: Malignancy Risk and Evaluation Strategies forMolecular imaging and radionuclide therapy · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Radiomics Analysis of [Diagnostics (Basel, Switzerland) · 2022
    Review
  6. Article
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

8 authors at 1 institution in 1 country.

Mehmet ErdoğanSüleyman Demirel University Faculty of Medicine, Department of Nuclear Medicine, Isparta, TurkeyORCID 0000-0001-7724-778X
Hakan KorkmazSüleyman Demirel University Faculty of Medicine, Department of Endocrinology and Metabolism, Isparta, TurkeyORCID 0000-0001-5066-6335
Bora TorusSüleyman Demirel University Faculty of Medicine, Department of Endocrinology and Metabolism, Isparta, TurkeyORCID 0000-0001-5577-700X
Mustafa AvcıSüleyman Demirel University Faculty of Medicine, Department of Nuclear Medicine, Isparta, TurkeyORCID 0000-0001-9730-2846
Şerife Mehtap BoylubaySüleyman Demirel University Faculty of Medicine, Department of Endocrinology and Metabolism, Isparta, TurkeyORCID 0000-0003-1051-5289
Metin ÇirişSüleyman Demirel University Faculty of Medicine, Department of Pathology, Isparta, TurkeyORCID 0000-0002-5619-4989
Mustafa YıldızSüleyman Demirel University Faculty of Medicine, Department of Nuclear Medicine, Isparta, TurkeyORCID 0000-0002-1019-1942
Sevim Süreyya ŞengülSüleyman Demirel University Faculty of Medicine, Department of Nuclear Medicine, Isparta, TurkeyORCID 0000-0002-4009-369X
Süleyman Demirel University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The metabolic activities of tumors can be calculated volumetrically during positron emission tomography/computed tomography (PET/CT) imaging using metabolic tumor volume (MTV) and total lesion glycolysis (TLG). This study aimed to evaluate the roles of MTV and TLG in predicting the malignancy risk of incidental thyroid nodules detected by PET/CT imaging. Methods: Active metabolic areas of each section were manually drawn by region of interest to calculate the MTV of nodules, and all obtained values were then summed. TLG, the product of mean standardized uptake value and MTV, was calculated by multiplying two values. All participants underwent thyroid ultrasonography imaging. All nodules were divided into risk classes according to the European Thyroid Image Reporting and Data System (EU-TIRADS) that was developed by the European Thyroid Association. The American Thyroid Association Guidelines were used to determine which thyroid nodules would undergo thyroid fine-needle biopsy (FNAB). Results were classified according to the Bethesda scoring system. Results: TLG levels were significantly higher in malignant or malignant-suspicious nodules than in benign nodules (p=0.013). Although MTV levels were high in malignant or malignant-suspicious nodules than in benign and non-diagnostic nodules, it was statistically insignificant at limit values (p=0.079). Areas under curve (AUC) were 0.726 (p=0.005) and AUC: 0.668 (p=0.039) for TLG and MTV, respectively. The 2.3 g cut-off value of TLG has a sensitivity of 85.7% and specificity of 59.0%. The 1.7 mL cut-off value of MTV has a sensitivity of 78.6% and specificity of 60.4%. Conclusion: We believe that TLG evaluation will be useful in predicting high-risk malignancy or malignancy suspicion based on EU-TIRADS risk classification of incidental thyroid nodules detected in PET/CT images. We believe that unnecessary thyroid FNABs can be avoided for thyroid incidental nodules if such relation and cut-off values are determined and that it will be useful in hastening the operation of the necessary patients.

Indexed as

18F-FDG PET/CT scansincidental thyroid nodulesMetabolic tumor volumetotal lesion glycolysis

Identifiers

PMID34082507
PMCPMC8185484
OpenAlexW3165463747

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.