Evidence map›Paper›PMID 36562641›Full record

ArticleEuropean thyroid journal2023

Significance of FDG-PET standardized uptake values in predicting thyroid disease.

Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, Yukihiro Nomura, Takeharu Yoshikawa, Ashraful Alam, Harushi Mori, Naoto Hayashi

Open access · diamondAbstract read
In one paragraph

Article in European thyroid journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 3 institutions in 1 country.

Tomohiro KikuchiDepartment of Computational Diagnostic Radiology and Preventive Medicine, the University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, Japan.ORCID 0000-0002-4222-4569
Shouhei HanaokaDepartment of Radiology, The University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, Japan.
Takahiro NakaoDepartment of Computational Diagnostic Radiology and Preventive Medicine, the University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, Japan.
Yukihiro NomuraDepartment of Computational Diagnostic Radiology and Preventive Medicine, the University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, Japan.
Takeharu YoshikawaDepartment of Computational Diagnostic Radiology and Preventive Medicine, the University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, Japan.
Ashraful AlamDepartment of Computational Diagnostic Radiology and Preventive Medicine, the University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, Japan.
Harushi MoriDepartment of Radiology, Jichi Medical University, School of Medicine, Shimotsuke, Tochigi, Japan.ORCID 0000-0003-1370-5272
Naoto HayashiDepartment of Computational Diagnostic Radiology and Preventive Medicine, the University of Tokyo Hospital, Hongo, Bunkyo-ku, Tokyo, Japan.
University of Tokyo Hospital · JPJichi Medical University · JPChiba University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to determine a standardized cut-off value for abnormal 18F-fluorodeoxyglucose (FDG) accumulation in the thyroid gland. Methods: Herein, 7013 FDG-PET/CT scans were included. An automatic thyroid segmentation method using two U-nets (2D- and 3D-U-net) was constructed; mean FDG standardized uptake value (SUV), CT value, and volume of the thyroid gland were obtained from each participant. The values were categorized by thyroid function into three groups based on serum thyroid-stimulating hormone levels. Thyroid function and mean SUV with increments of 1 were analyzed, and risk for thyroid dysfunction was calculated. Thyroid dysfunction detection ability was examined using a machine learning method (LightGBM, Microsoft) with age, sex, height, weight, CT value, volume, and mean SUV as explanatory variables. Results: Mean SUV was significantly higher in females with hypothyroidism. Almost 98.9% of participants in the normal group had mean SUV < 2 and 93.8% participants with mean SUV < 2 had normal thyroid function. The hypothyroidism group had more cases with mean SUV ≥ 2. The relative risk of having abnormal thyroid function was 4.6 with mean SUV ≥ 2. The sensitivity and specificity for detecting thyroid dysfunction using LightGBM (Microsoft) were 14.5 and 99%, respectively. Conclusions: Mean SUV ≥ 2 was strongly associated with abnormal thyroid function in this large cohort, indicating that mean SUV with FDG-PET/CT can be used as a criterion for thyroid evaluation. Preliminarily, this study shows the potential utility of detecting thyroid dysfunction based on imaging findings.

Indexed as

HypothyroidismThyroid DiseasesFemaleFluorodeoxyglucose F18HumansPositron Emission Tomography Computed TomographyTomography, X-Ray ComputedFluorodeoxyglucose F1818F–fluorodeoxyglucose positron emission tomographystandardized uptake valuethyroid functionthyroid glandthyroid-stimulating hormone

Identifiers

PMID36562641
PMCPMC9986380
OpenAlexW4312105922

What OpenQuestion holds

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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.