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Quantitative classification and radiomics of [(18)F]FDG-PET/CT in indeterminate thyroid nodules
PURPOSE: To evaluate whether quantitative [(18)F]FDG-PET/CT assessment, including radiomic analysis of [(18)F]FDG-positive thyroid nodules, improved the preoperative differentiation of indeterminate thyroid nodules of non-Hürthle cell and Hürthle cell cytology. METHODS: Prospectively included patien...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9165273/ https://www.ncbi.nlm.nih.gov/pubmed/35138444 http://dx.doi.org/10.1007/s00259-022-05712-0 |
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author | de Koster, Elizabeth J. Noortman, Wyanne A. Mostert, Jacob M. Booij, Jan Brouwer, Catherine B. de Keizer, Bart de Klerk, John M. H. Oyen, Wim J. G. van Velden, Floris H. P. de Geus-Oei, Lioe-Fee Vriens, Dennis |
author_facet | de Koster, Elizabeth J. Noortman, Wyanne A. Mostert, Jacob M. Booij, Jan Brouwer, Catherine B. de Keizer, Bart de Klerk, John M. H. Oyen, Wim J. G. van Velden, Floris H. P. de Geus-Oei, Lioe-Fee Vriens, Dennis |
author_sort | de Koster, Elizabeth J. |
collection | PubMed |
description | PURPOSE: To evaluate whether quantitative [(18)F]FDG-PET/CT assessment, including radiomic analysis of [(18)F]FDG-positive thyroid nodules, improved the preoperative differentiation of indeterminate thyroid nodules of non-Hürthle cell and Hürthle cell cytology. METHODS: Prospectively included patients with a Bethesda III or IV thyroid nodule underwent [(18)F]FDG-PET/CT imaging. Receiver operating characteristic (ROC) curve analysis was performed for standardised uptake values (SUV) and SUV-ratios, including assessment of SUV cut-offs at which a malignant/borderline neoplasm was reliably ruled out (≥ 95% sensitivity). [(18)F]FDG-positive scans were included in radiomic analysis. After segmentation at 50% of SUV(peak), 107 radiomic features were extracted from [(18)F]FDG-PET and low-dose CT images. Elastic net regression classifiers were trained in a 20-times repeated random split. Dimensionality reduction was incorporated into the splits. Predictive performance of radiomics was presented as mean area under the ROC curve (AUC) across the test sets. RESULTS: Of 123 included patients, 84 (68%) index nodules were visually [(18)F]FDG-positive. The malignant/borderline rate was 27% (33/123). SUV-metrices showed AUCs ranging from 0.705 (95% CI, 0.601–0.810) to 0.729 (0.633–0.824), 0.708 (0.580–0.835) to 0.757 (0.650–0.864), and 0.533 (0.320–0.747) to 0.700 (0.502–0.898) in all (n = 123), non-Hürthle (n = 94), and Hürthle cell (n = 29) nodules, respectively. At SUV(max), SUV(peak), SUV(max)-ratio, and SUV(peak)-ratio cut-offs of 2.1 g/mL, 1.6 g/mL, 1.2, and 0.9, respectively, sensitivity of [(18)F]FDG-PET/CT was 95.8% (95% CI, 78.9–99.9%) in non-Hürthle cell nodules. In Hürthle cell nodules, cut-offs of 5.2 g/mL, 4.7 g/mL, 3.4, and 2.8, respectively, resulted in 100% sensitivity (95% CI, 66.4–100%). Radiomic analysis of 84 (68%) [(18)F]FDG-positive nodules showed a mean test set AUC of 0.445 (95% CI, 0.290–0.600) for the PET model. CONCLUSION: Quantitative [(18)F]FDG-PET/CT assessment ruled out malignancy in indeterminate thyroid nodules. Distinctive, higher SUV cut-offs should be applied in Hürthle cell nodules to optimize rule-out ability. Radiomic analysis did not contribute to the additional differentiation of [(18)F]FDG-positive nodules. TRIAL REGISTRATION NUMBER: This trial is registered with ClinicalTrials.gov: NCT02208544 (5 August 2014), https://clinicaltrials.gov/ct2/show/NCT02208544. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00259-022-05712-0. |
format | Online Article Text |
id | pubmed-9165273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-91652732022-06-05 Quantitative classification and radiomics of [(18)F]FDG-PET/CT in indeterminate thyroid nodules de Koster, Elizabeth J. Noortman, Wyanne A. Mostert, Jacob M. Booij, Jan Brouwer, Catherine B. de Keizer, Bart de Klerk, John M. H. Oyen, Wim J. G. van Velden, Floris H. P. de Geus-Oei, Lioe-Fee Vriens, Dennis Eur J Nucl Med Mol Imaging Original Article PURPOSE: To evaluate whether quantitative [(18)F]FDG-PET/CT assessment, including radiomic analysis of [(18)F]FDG-positive thyroid nodules, improved the preoperative differentiation of indeterminate thyroid nodules of non-Hürthle cell and Hürthle cell cytology. METHODS: Prospectively included patients with a Bethesda III or IV thyroid nodule underwent [(18)F]FDG-PET/CT imaging. Receiver operating characteristic (ROC) curve analysis was performed for standardised uptake values (SUV) and SUV-ratios, including assessment of SUV cut-offs at which a malignant/borderline neoplasm was reliably ruled out (≥ 95% sensitivity). [(18)F]FDG-positive scans were included in radiomic analysis. After segmentation at 50% of SUV(peak), 107 radiomic features were extracted from [(18)F]FDG-PET and low-dose CT images. Elastic net regression classifiers were trained in a 20-times repeated random split. Dimensionality reduction was incorporated into the splits. Predictive performance of radiomics was presented as mean area under the ROC curve (AUC) across the test sets. RESULTS: Of 123 included patients, 84 (68%) index nodules were visually [(18)F]FDG-positive. The malignant/borderline rate was 27% (33/123). SUV-metrices showed AUCs ranging from 0.705 (95% CI, 0.601–0.810) to 0.729 (0.633–0.824), 0.708 (0.580–0.835) to 0.757 (0.650–0.864), and 0.533 (0.320–0.747) to 0.700 (0.502–0.898) in all (n = 123), non-Hürthle (n = 94), and Hürthle cell (n = 29) nodules, respectively. At SUV(max), SUV(peak), SUV(max)-ratio, and SUV(peak)-ratio cut-offs of 2.1 g/mL, 1.6 g/mL, 1.2, and 0.9, respectively, sensitivity of [(18)F]FDG-PET/CT was 95.8% (95% CI, 78.9–99.9%) in non-Hürthle cell nodules. In Hürthle cell nodules, cut-offs of 5.2 g/mL, 4.7 g/mL, 3.4, and 2.8, respectively, resulted in 100% sensitivity (95% CI, 66.4–100%). Radiomic analysis of 84 (68%) [(18)F]FDG-positive nodules showed a mean test set AUC of 0.445 (95% CI, 0.290–0.600) for the PET model. CONCLUSION: Quantitative [(18)F]FDG-PET/CT assessment ruled out malignancy in indeterminate thyroid nodules. Distinctive, higher SUV cut-offs should be applied in Hürthle cell nodules to optimize rule-out ability. Radiomic analysis did not contribute to the additional differentiation of [(18)F]FDG-positive nodules. TRIAL REGISTRATION NUMBER: This trial is registered with ClinicalTrials.gov: NCT02208544 (5 August 2014), https://clinicaltrials.gov/ct2/show/NCT02208544. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00259-022-05712-0. Springer Berlin Heidelberg 2022-02-09 2022 /pmc/articles/PMC9165273/ /pubmed/35138444 http://dx.doi.org/10.1007/s00259-022-05712-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article de Koster, Elizabeth J. Noortman, Wyanne A. Mostert, Jacob M. Booij, Jan Brouwer, Catherine B. de Keizer, Bart de Klerk, John M. H. Oyen, Wim J. G. van Velden, Floris H. P. de Geus-Oei, Lioe-Fee Vriens, Dennis Quantitative classification and radiomics of [(18)F]FDG-PET/CT in indeterminate thyroid nodules |
title | Quantitative classification and radiomics of [(18)F]FDG-PET/CT in indeterminate thyroid nodules |
title_full | Quantitative classification and radiomics of [(18)F]FDG-PET/CT in indeterminate thyroid nodules |
title_fullStr | Quantitative classification and radiomics of [(18)F]FDG-PET/CT in indeterminate thyroid nodules |
title_full_unstemmed | Quantitative classification and radiomics of [(18)F]FDG-PET/CT in indeterminate thyroid nodules |
title_short | Quantitative classification and radiomics of [(18)F]FDG-PET/CT in indeterminate thyroid nodules |
title_sort | quantitative classification and radiomics of [(18)f]fdg-pet/ct in indeterminate thyroid nodules |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9165273/ https://www.ncbi.nlm.nih.gov/pubmed/35138444 http://dx.doi.org/10.1007/s00259-022-05712-0 |
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