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Quantitative classification and radiomics of [18F]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.
Afiliação
  • de Koster EJ; Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands. Lisanne.deKoster@radboudumc.nl.
  • Noortman WA; Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands.
  • Mostert JM; Biomedical Photonic Imaging Group, University of Twente, Enschede, the Netherlands.
  • Booij J; Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands.
  • Brouwer CB; Delft University of Technology, Delft, the Netherlands.
  • de Keizer B; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location Academic Medical Center, Amsterdam, the Netherlands.
  • de Klerk JMH; Department of Internal Medicine, OLVG Hospital, Amsterdam, the Netherlands.
  • Oyen WJG; Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht, Utrecht, the Netherlands.
  • van Velden FHP; Department of Nuclear Medicine, Meander Medical Centre, Amersfoort, the Netherlands.
  • de Geus-Oei LF; Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
  • Vriens D; Department of Radiology and Nuclear Medicine, Rijnstate Hospital, Arnhem, the Netherlands.
Eur J Nucl Med Mol Imaging ; 49(7): 2174-2188, 2022 06.
Article em En | MEDLINE | ID: mdl-35138444
ABSTRACT

PURPOSE:

To evaluate whether quantitative [18F]FDG-PET/CT assessment, including radiomic analysis of [18F]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 [18F]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). [18F]FDG-positive scans were included in radiomic analysis. After segmentation at 50% of SUVpeak, 107 radiomic features were extracted from [18F]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 [18F]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 SUVmax, SUVpeak, SUVmax-ratio, and SUVpeak-ratio cut-offs of 2.1 g/mL, 1.6 g/mL, 1.2, and 0.9, respectively, sensitivity of [18F]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%) [18F]FDG-positive nodules showed a mean test set AUC of 0.445 (95% CI, 0.290-0.600) for the PET model.

CONCLUSION:

Quantitative [18F]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 [18F]FDG-positive nodules. TRIAL REGISTRATION NUMBER This trial is registered with ClinicalTrials.gov NCT02208544 (5 August 2014), https//clinicaltrials.gov/ct2/show/NCT02208544 .
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Glândula Tireoide / Nódulo da Glândula Tireoide Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Glândula Tireoide / Nódulo da Glândula Tireoide Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article