ArticleEndocrine2022
Radiomics analysis improves
Article in Endocrine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Application of radiomics and machine learning to thyroid diseases in nuclear medicine: a systematic review.Reviews in endocrine & metabolic disorders · 2024Pooled it
- [European journal of nuclear medicine and molecular imaging · 2022Trial
- Radiomics in thyroid nodule assessment.BMC medical imaging · 2026Review
- AI may help to predict thyroid nodule malignancy based on radiomics features from [EJNMMI research · 2025Article
- CT-based explainable machine learning for predicting benign and malignant thyroid nodules: a multi-center study.Frontiers in oncology · 2025Article
- Assessment of the risk of malignancy in Bethesda III thyroid nodules: a comprehensive review.Endocrine · 2024Review
- Integrated Diagnostics of Thyroid Nodules.Cancers · 2024Review
- Molecular testing in indeterminate thyroid nodules: an additional tool for clinical decision-making.Pathologica · 2023Review
- PET/CT May Assist in Avoiding Pointless Thyroidectomy in Indeterminate Thyroid Nodules: A Narrative Review.Cancers · 2023Review
- Should we reconsider high-risk features in thyroid ultrasonography?Revista da Associacao Medica Brasileira (1992) · 2023Article
- Radiomics in Oncological PET Imaging: A Systematic Review-Part 1, Supradiaphragmatic Cancers.Diagnostics (Basel, Switzerland) · 2022Review
- Molecular Imaging and Theragnostics of Thyroid Cancers.Cancers · 2022Review
- Radiomics Analysis of [Diagnostics (Basel, Switzerland) · 2022Review
- Establishment and validation of a radiological-radiomics model for predicting high-grade patterns of lung adenocarcinoma less than or equal to 3 cm.Frontiers in oncology · 2022Article
- Value of Whole-Thyroid CT-Based Radiomics in Predicting Benign and Malignant Thyroid Nodules.Frontiers in oncology · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAs ~25% of cytologically indeterminate thyroid nodules harbour malignancy, diagnostic lobectomy is still performed in many cases.
methodsSeventy-eight patients were retrospectively included. After volumetric segmentation of each thyroid lesion, 4 PET metrics and 107 RFs were extracted. A logistic regression was performed including thyroid stimulating hormone, PET metrics, and RFs to assess their predictive performance. A linear combination of the resulting parameters generated a radiomics score (RS) that was matched with cytology classes (Bethesda III and IV) and compared with final diagnosis.
resultsTwo RFs (shape_Sphericity and glcm_Autocorrelation) differentiated malignant from benign lesions. A predictive model integrating RS and cytology classes effectively stratified the risk of malignancy. The prevalence of thyroid cancer increased from 5 to 37% and 79% in accordance with the number (score 0, 1 or 2, respectively) of positive biomarkers.
conclusionsOur multiparametric model may be useful for reducing the number of diagnostic lobectomies with advantages in terms of costs and quality of life for patients.
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