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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
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.
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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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