Evidence map›Paper›PMID 27612034›Full record

ArticleNuclear medicine communications2016

The incidence of thyroid cancer in focal hypermetabolic thyroid lesions: an 18F-FDG PET/CT study in more than 6000 patients.

Martin Barrio, Johannes Czernin, Michael W Yeh, Miguel F Palma Diaz, Pawan Gupta, Martin Allen-Auerbach, Christiaan Schiepers, Ken Herrmann

Abstract read
In one paragraph

Article in Nuclear medicine communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Focal Thyroid Incidentalomas onFrontiers in endocrinology · 2021
    Pooled it
  2. Definitions of Incidental [Diagnostics (Basel, Switzerland) · 2024
    Review
  3. [European journal of nuclear medicine and molecular imaging · 2023
    Article
  4. Review
  5. Article
  6. Article
  7. Characteristics of malignant thyroid lesions on [European journal of radiology open · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Thyroid GlandEuropean thyroid journal · 2018
    Article
  12. Review
  13. Clinical significance of patterns of increased [Japanese journal of radiology · 2018
    Review
  14. Article
  15. [European journal of hybrid imaging · 2017
    Article
  16. Article
  17. 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.

Martin BarrioaDepartment of Molecular and Medical Pharmacology bJonsson Comprehensive Cancer Center cSection of Endocrine Surgery, Department of Surgery dDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA eDepartment of Nuclear Medicine, Universitätsklinikum Essen, Essen, Germany.
Johannes Czernin
Michael W Yeh
Miguel F Palma Diaz
Pawan Gupta
Martin Allen-Auerbach
Christiaan Schiepers
Ken Herrmann

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
Transductionally Redirected /Transcriptionally RestricteP50CA086306 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HERSCHMAN, HARVEY R. · 2000 to 2014
$29.0M
NCI NIH HHS P30 CA016042NCI NIH HHS P50 CA086306
6 · The paper itself

Abstract

backgroundThe clinical significance of incidental thyroid abnormalities discovered in fluorine-18 fluorodeoxyglucose (F-FDG) PET/computed tomography (CT) (FDG PET/CT) studies remains controversial. The aim of this large retrospective study was to (a) determine the prevalence of focal F-FDG thyroid uptake on whole-body F-FDG PET/CT studies carried out for nonthyroid cancers and (b) to test whether intense focal F-FDG thyroid uptake is associated with malignancy. MATERIALS AND

methodsA total of 11 921 F-FDG PET/CT studies in 6216 patients carried out at our institution between January 2012 and December 2014 were analyzed. We retrospectively reviewed the medical records of these patients. Eight hundred and forty-five/6216 (13.6%) patients had a thyroid incidentaloma on the basis of the clinical F-FDG PET/CT report. One hundred and sixty/845 (18.9%) of these underwent ultrasound and 98 (61.3%) of these underwent a fine-needle aspiration (FNA). Twenty-six of these 98 (26.5%) patients underwent thyroidectomy. Thyroid lesion and background standardized uptake value (SUVs) for each patient were measured upon review of the F-FDG PET/CT study. We measured maximum standardized uptake value (SUVmax), thyroid to background TL/TBG, thyroid to bloodpool TL/BP and thyroid to liver TL/L ratios in benign and malignant lesions. Receiver operating curves were calculated to determine optimal cut-off values between malignant and benign lesions.

resultsTwenty-one of the 98 patients who underwent FNA biopsy or thyroidectomy had malignant disease (21.4%). Malignant lesions had significantly higher thyroid lesion SUVmax, TL/TBG, TL/BP, and TL/L than benign nodules. The receiver operating curves derived cut-off ratio TL/TBG of more than 2.0 differentiated benign from malignant lesions best with a specificity and sensitivity of 0.76 and 0.88, respectively.

conclusionThe incidence of malignancy in biopsied focal hypermetabolic thyroid lesions is 21.4%. Lesions on F-FDG PET/CT studies, with a ratio TL/TBG more than 2.0, warrant further work-up with ultrasound and FNA to exclude malignancy.

Indexed as

Fluorodeoxyglucose F18AdultAgedAged, 80 and overFemaleFluorine RadioisotopesHumansIncidenceIncidental FindingsMaleMiddle AgedPositron Emission Tomography Computed TomographyRadiopharmaceuticalsRetrospective StudiesThyroid GlandThyroid NeoplasmsFluorine RadioisotopesFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID27612034
PMCPMC5077695

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Registered trials

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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.