1
|
de Koster EJ, Corver WE, de Geus-Oei LF, Oyen WJG, Ruano D, Schepers A, Snel M, van Wezel T, Vriens D, Morreau H. A clinically applicable molecular classification of oncocytic cell thyroid nodules. Endocr Relat Cancer 2023; 30:e230047. [PMID: 37399519 PMCID: PMC10448578 DOI: 10.1530/erc-23-0047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 07/03/2023] [Indexed: 07/05/2023]
Abstract
Whole chromosome instability with near-whole genome haploidization (GH) and subsequent endoreduplication is considered a main genomic driver in the tumorigenesis of oncocytic cell thyroid neoplasms (OCN). These copy number alterations (CNA) occur less frequently in oncocytic thyroid adenoma (OA) than in oncocytic carcinoma (OCA), suggesting a continuous process. The current study described the CNA patterns in a cohort of 30 benign and malignant OCN, observed using a next-generation sequencing (NGS) panel that assesses genome-wide loss of heterozygosity (LOH) and chromosomal imbalances using 1500 single-nucleotide polymorphisms (SNPs) across all autosomes and the X chromosome in DNA derived from cytological and histological samples. Observed CNA patterns were verified using multiparameter DNA flow cytometry with or without whole-genome SNP array analysis and lesser-allele intensity-ratio (LAIR) analysis. On CNA-LOH analysis using the NGS panel, GH-type CNA were observed in 4 of 11 (36%) OA and in 14 of 16 OCA (88%). Endoreduplication was suspected in 8 of 16 (50%) OCA, all with more extensive GH-type CNA (P < 0.001). Reciprocal chromosomal imbalance type CNA, characterized by (imbalanced) chromosomal copy number gains and associated with benign disease, were observed in 6 of 11 (55%) OA and one equivocal case of OCA. CNA patterns were different between the histopathological subgroups (P < 0.001). By applying the structured interpretation and considerations provided by the current study, CNA-LOH analysis using an NGS panel that is feasible for daily practice may be of great added value to the widespread application of molecular diagnostics in the diagnosis and risk stratification of OCN.
Collapse
Affiliation(s)
- Elizabeth J de Koster
- Department of Medical Imaging, Nuclear Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Willem E Corver
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Lioe-Fee de Geus-Oei
- Department of Medical Imaging, Nuclear Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands
- Biomedical Photonic Imaging Group, University of Twente, Enschede, the Netherlands
| | - Wim J G Oyen
- Department of Medical Imaging, Nuclear Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands
- Department of Radiology and Nuclear Medicine, Rijnstate Hospital, Arnhem, the Netherlands
- Department of Biomedical Sciences and Humanitas Clinical and Research Centre, Department of Nuclear Medicine, Humanitas University, Milan, Italy
| | - Dina Ruano
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Abbey Schepers
- Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - Marieke Snel
- Department of Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, the Netherlands
| | - Tom van Wezel
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Dennis Vriens
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Hans Morreau
- Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| |
Collapse
|
2
|
Babajani A, Rahmani S, Raoufi M, Eidgahi ES, Dastjerdi AV, Behfarnia P, Khalili S, Moghaddam NA. Clinico-cytopathological subcategorization in thyroid nodules of atypia of undetermined significance/follicular lesion of undetermined significance using the TIRADS and Bethesda classifications. Front Endocrinol (Lausanne) 2023; 14:1135196. [PMID: 37313444 PMCID: PMC10258349 DOI: 10.3389/fendo.2023.1135196] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 04/28/2023] [Indexed: 06/15/2023] Open
Abstract
Introduction Bethesda category III - atypia of undetermined significance/follicular lesion of undetermined significance (AUS/FLUS) is a heterogeneous class of the Bethesda system for thyroid nodules. In order to clarify the therapeutic road for clinicians, this category was subclassified based on the cytopathological features. In this study, we evaluated the risk of malignancy, surgical outcome, demographic characteristics, and correlation of ultrasound features with the final outcome in patients with thyroid nodules based on AUS/FLUS subclassification. Method After evaluating 867 thyroid nodules from three different centers, 70 (8.07%) were initially diagnosed as AUS/FLUS. The cytopathologists re-interpreted the FNA samples and subclassified them into five subcategories: architectural atypia, cytologic atypia, cytologic and architectural atypia, and Hürthle cell AUS/FLUS, and atypia, which was not specified. Based on the suspicious ultrasound features, an appropriate ACR TI-RADS score was allocated to each nodule. Finally, the malignancy rate, surgical outcomes, and ACR TI-RADS scores were evaluated among Bethesda category III nodules. Results Among the 70 evaluated nodules, 28 (40%) were subclassified as Hürthle cell AUS/FLUS, 22 (31.42%) as cytologic and architectural atypia, 8 (11.42%) as architectural atypia, 7 (10%) as cytologic atypia, and 5 (7.14%) as atypia which was not specified. The overall malignancy rate was 34.28%, and the architectural atypia and Hürthle cell nodules displayed lower malignancy compared to other groups (P-Value<0.05). Utilizing ACR TI-RADS scores showed no statistical significance between Bethesda III subcategorization and ACR TI-RADS scores. However, ACR TI-RADS can be a reliable predictor for Hürthle cell AUS/FLU nodules. Conclusion ACR TI-RADS helps evaluate malignancy only in the Hürthle cell AUS/FLUS subcategory of AUS/FLUS. Besides, cytopathological reporting based on the suggested AUS/FLUS subclassification could help clinicians take appropriate measures to manage thyroid nodules.
Collapse
Affiliation(s)
- Amirhesam Babajani
- Oncopathology Research Center, Department of Molecular Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Department of Pathology, School of Medicine, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saeed Rahmani
- Oncopathology Research Center, Department of Molecular Medicine, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Department of Pathology, School of Medicine, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Masoomeh Raoufi
- Department of Radiology, School of Medicine, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elham Shaarbaf Eidgahi
- Kidney Transplantation Complication Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Poya Behfarnia
- School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shayesteh Khalili
- Department of Internal Medicine, School of Medicine, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Noushin Afshar Moghaddam
- Department of Pathology, School of Medicine, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
3
|
Combined Shear Wave Elastography and EU TIRADS in Differentiating Malignant and Benign Thyroid Nodules. Cancers (Basel) 2022; 14:cancers14225521. [PMID: 36428614 PMCID: PMC9688054 DOI: 10.3390/cancers14225521] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/04/2022] [Accepted: 11/07/2022] [Indexed: 11/12/2022] Open
Abstract
Although multimodal ultrasound approaches have been suggested to potentially improve the diagnosis of thyroid cancer; the diagnostic utility of the combination of SWE and malignancy-risk stratification systems remains vague due to the lack of standardized criteria. The purpose of the study was to assess the diagnostic value of the combination of grey scale ultrasound assessment using EU TIRADS and shear wave elastography. 121 patients (126 nodules−81 benign; 45 malignant) underwent grey scale ultrasound and SWE imaging of nodules between 0.5 cm and 5 cm prior to biopsy and/or surgery. Nodules were analyzed based on size stratifications: <1 cm (n = 43); 1−2 cm (n = 52) and >2 cm (n = 31) and equivocal cytology status (n = 52), and diagnostic performance assessments were conducted. The combination of EU TIRADS with SWE using the SD parameter; maintained a high sensitivity and significantly improved the specificity of sole EU TIRADS for nodules 1−2 cm (SEN: 72.2% vs. 88.9%, p > 0.05; SPEC: 76.5% vs. 55.9%, p < 0.01) and >2 cm (SEN: 71.4% vs. 85.7%, p > 0.05; SPEC: 95.8% vs. 62.5%, p < 0.01). For cytologically-equivocal nodules; the combination with the SWE minimum parameter resulted in a significant reduction in sensitivity with increased specificity (SEN: 60% vs. 80%; SPEC: 83.4% vs. 37.8%; all p < 0.05). SWE in combination with EU TIRADS is diagnostically efficient in discriminating nodules > 1 cm but is not ideal for discriminating cytologically-equivocal nodules.
Collapse
|
4
|
Diagnostic Value of AngioPLUS Microvascular Imaging in Thyroid Nodule Diagnosis Using Quantitative and Qualitative Vascularity Grading. Biomedicines 2022; 10:biomedicines10071554. [PMID: 35884858 PMCID: PMC9313421 DOI: 10.3390/biomedicines10071554] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/27/2022] [Accepted: 06/27/2022] [Indexed: 11/30/2022] Open
Abstract
This study investigated the diagnostic value of the Angio Planewave Ultrasensitive (AngioPLUS) Doppler ultrasound in improving the efficacy of grey scale ultrasound in thyroid nodule diagnosis. The EU TIRADS was used for the grey scale ultrasound assessment of 94 thyroid nodules. conventional Doppler and AngioPLUS Doppler ultrasound images were evaluated using qualitative vascularity grading, where predominant central vascularity indicated malignancy-suspicion, and quantitative regional vascularity assessment, where predominant peripheral vascularity using a ratio vascularity index (RVI) of > 1 indicated benign disease. Diagnostic performance outcomes of sole and combination approaches were calculated based on final pathologic results. Using sole EU TIRADS and AngioPLUS + power Doppler imaging (APDI) based on qualitative vascularity and RVI, the results were a sensitivity of 83.3% vs. 83.3 vs. 66.7% and a specificity of 50% vs. 81.3% vs. 73.4, respectively. EU TIRADS combined with APDI significantly improved the specificity using both qualitative vascularity and RVI assessment approaches (84.4% and 81%, respectively, p < 0.05); and slightly reduced the sensitivity (76.7% and 58.1%). For cytologically-equivocal thyroid nodules, the combination approach using qualitative vascularity assessment outperformed the EU TIRADS (sensitivity: both were 88.9%; specificity: 77.4% vs. 38.7%, p < 0.05; and AUROC: 0.83 vs. 0.62, p < 0.05). APDI combined with EU TIRADS is diagnostically efficient in stratifying thyroid nodules, particularly cytologically-equivocal nodules.
Collapse
|
5
|
de Koster EJ, Noortman WA, Mostert JM, Booij J, Brouwer CB, de Keizer B, de Klerk JMH, Oyen WJG, van Velden FHP, de Geus-Oei LF, Vriens D. Quantitative classification and radiomics of [ 18F]FDG-PET/CT in indeterminate thyroid nodules. Eur J Nucl Med Mol Imaging 2022; 49:2174-2188. [PMID: 35138444 PMCID: PMC9165273 DOI: 10.1007/s00259-022-05712-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 01/26/2022] [Indexed: 12/12/2022]
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 .
Collapse
Affiliation(s)
- Elizabeth J de Koster
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - Wyanne A Noortman
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands
- Biomedical Photonic Imaging Group, University of Twente, Enschede, the Netherlands
| | - Jacob M Mostert
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands
- Delft University of Technology, Delft, the Netherlands
| | - Jan Booij
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Location Academic Medical Center, Amsterdam, the Netherlands
| | | | - Bart de Keizer
- Department of Radiology and Nuclear Medicine, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - John M H de Klerk
- Department of Nuclear Medicine, Meander Medical Centre, Amersfoort, the Netherlands
| | - Wim J G Oyen
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Radiology and Nuclear Medicine, Rijnstate Hospital, Arnhem, the Netherlands
- Department of Biomedical Sciences and Humanitas Clinical and Research Centre, Department of Nuclear Medicine, Humanitas University, Milan, Italy
| | - Floris H P van Velden
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Lioe-Fee de Geus-Oei
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands
- Biomedical Photonic Imaging Group, University of Twente, Enschede, the Netherlands
| | - Dennis Vriens
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, the Netherlands
| |
Collapse
|