Trial reportBioMed research international2019
Standardized Uptake Value Using Thyroid Quantitative SPECT/CT for the Diagnosis and Evaluation of Graves' Disease: A Prospective Multicenter Study.
Trial report in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 24 citations in OpenAlex.
- Quantitative assessment of graves' ophthalmopathy activity usingEJNMMI research · 2026Article
- Orbital asymmetry degree: a potentialFrontiers in endocrinology · 2026Article
- Quantitative evaluation of thyroid bed accumulation in I-131 radiotherapy: a comparison of laryngeal edema and non-edematous cases.EJNMMI research · 2025Article
- Diagnostic Efficacy ofDiagnostics (Basel, Switzerland) · 2024Article
- Evaluation of the Dysregulation of Cholesterol and Glucose Levels in Graves' Disease Using Clinical Data Analysis.Reports of biochemistry & molecular biology · 2024Article
- Correlation analysis between the quantitative parameters of iodine-131 single-photon emission computed tomography-computed tomography thyroid bed uptake and the efficacy of radioactive iodine adjuvant therapy for papillary thyroid cancer.Quantitative imaging in medicine and surgery · 2024Article
- The determination of the optimal threshold on measurement of thyroid volume using quantitative SPECT/CT for Graves' hyperthyroidism.EJNMMI physics · 2024Article
- Gamma camera-specific reference standards for radioactive iodine uptake measurements.EJNMMI physics · 2023Article
- Quantitative analysis ofEJNMMI physics · 2023Article
- The Use of Artificial Intelligence in the Diagnosis and Classification of Thyroid Nodules: An Update.Cancers · 2023Review
- Improving diagnostic efficacy of primary prostate cancer with combinedFrontiers in oncology · 2023Article
- [Value of thyroidNan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022Article
- What validation tests can be done by the clinical medical physicist while waiting for the standardization of quantitative SPECT/CT imaging?EJNMMI physics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 8 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The clinical applications of the quantitative single photon emission computed tomography (SPECT)/computed tomography (CT) are being expanded to a variety of fields of nuclear medicine. However, clinical application of quantitative SPECT/CT for the evaluation of Graves' disease (GD) still needs further investigation. Our aim was to investigate the feasibility of standard uptake value (SUV) of the thyroid for the clinical diagnosis and evaluation of GD. In this prospective multicenter study, 116 patients diagnosed with GD (Graves group) and 74 healthy volunteers (control group) were enrolled from 8 different hospitals. All patients underwent technetium pertechnetate (
Indexed as
Identifiers
What 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.