ArticleNuclear medicine and molecular imaging2020
Evaluating Focal
Article in Nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis 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.
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, 1 synthesis or guideline pooled it.
- Application of radiomics and machine learning to thyroid diseases in nuclear medicine: a systematic review.Reviews in endocrine & metabolic disorders · 2024Pooled it
- Quantitative classification and radiomics of [European journal of nuclear medicine and molecular imaging · 2022Trial
- AI may help to predict thyroid nodule malignancy based on radiomics features from [EJNMMI research · 2025Article
- Personalized optimization of systematic prostate biopsy core number based on mpMRI radiomics features: a large-sample retrospective analysis.BMC cancer · 2025Article
- Applying deep learning-based ensemble model to [Japanese journal of radiology · 2025Article
- Clinical application ofJapanese journal of radiology · 2024Review
- PrognosticDiagnostics (Basel, Switzerland) · 2023Article
- PET/CT May Assist in Avoiding Pointless Thyroidectomy in Indeterminate Thyroid Nodules: A Narrative Review.Cancers · 2023Review
- Significance of FDG-PET standardized uptake values in predicting thyroid disease.European thyroid journal · 2023Article
- Radiomics in Oncological PET Imaging: A Systematic Review-Part 1, Supradiaphragmatic Cancers.Diagnostics (Basel, Switzerland) · 2022Review
- FDG PET/CT to Predict Recurrence of Early Breast Invasive Ductal Carcinoma.Diagnostics (Basel, Switzerland) · 2022Article
- Radiomics Analysis of [Diagnostics (Basel, Switzerland) · 2022Review
- Comparison between Two Different Scanners for the Evaluation of the Role ofJournal of clinical medicine · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to evaluate the ability of
methods
resultsSixty patients (70% train set, 30% test set) were included in the study. In univariate analysis, a statistically significant difference was observed in 6 conventional parameters, 5 first-, and 16 second-order features between benign and malignant groups in train set (
conclusionIn the differentiation of benign-malignant thyroid incidentalomas, GLRLM
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.