Predictors of Bilateral Disease in Low-Risk Papillary Thyroid Cancer: Histopathologic Insights and Preoperative Ultrasonography Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1245/s10434-024-16352-z
Background With the current shift toward de-escalation of surgical management in low-risk papillary thyroid cancer (PTC), understanding predictors and the clinical significance of additional tumors in the contralateral lobe is important. This study investigated the histopathologic predictors of bilateral disease in low-risk PTC patients and the utility of preoperative ultrasonography in guiding completion thyroidectomy decisions. Methods Patients treated with total thyroidectomy (TT) for low-risk PTCs (< 4 cm) at the Endocrine Surgical Unit of the Royal North Shore Hospital, University of Sydney from 2013 to 2020 were identified from a prospectively maintained database. The primary objective was to evaluate whether specific histopathologic factors can reliably predict the likelihood of bilateral disease in low-risk PTC patients after hemithyroidectomy. The secondary objective was to assess the accuracy of preoperative ultrasonography for patients with bilateral disease. Results Of the 737 patients in this study, 194 (26.3%) had bilateral disease. The multivariate analysis showed that larger median tumor size (odds ratio [OR] 1.043 per mm; 95 % confidence interval [CI] 1.025–1.062; P < 0.001), ipsilateral multifocal disease (MFD) (OR 2.010; 95% CI 1.338–3.020; P < 0.001), and venous invasion (OR 1.693; 95% CI 1.058–2.707) had a significant association with bilateral disease. However, in the prediction of clinically significant contralateral disease (≥ 10 mm), median tumor size (OR 1.104 per mm; 95% CI 1.059–1.152; P < 0.001) and venous invasion (OR 2.815; 95% CI 1.044–7.589; P = 0.041) were significantly correlated, whereas ipsilateral MFD lost its significance. These significant contralateral tumors were identified preoperatively and associated with higher Thyroid Imaging, Reporting and Data System (TIRADS) and/or Bethesda cytology classifications in 94% of cases. Conclusion In low-risk PTC patients, larger tumor size, venous invasion, and ipsilateral MFD are significantly associated with disease in the contralateral thyroid lobe.
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1245/s10434-024-16352-z
- https://link.springer.com/content/pdf/10.1245/s10434-024-16352-z.pdf
- OA Status
- hybrid
- Cited By
- 1
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406367868
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4406367868Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1245/s10434-024-16352-zDigital Object Identifier
- Title
-
Predictors of Bilateral Disease in Low-Risk Papillary Thyroid Cancer: Histopathologic Insights and Preoperative UltrasonographyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-14Full publication date if available
- Authors
-
P. M. Rodriguez Schaap, Apostolos Papachristos, Hazel G. Serrao-Brown, A. Aniss, E.J.M. Nieveen van Dijkum, Anthony J. Gill, Leigh Delbridge, Anton F. Engelsman, S. Sidhu, Mark SywakList of authors in order
- Landing page
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https://doi.org/10.1245/s10434-024-16352-zPublisher landing page
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https://link.springer.com/content/pdf/10.1245/s10434-024-16352-z.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
- OA URL
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https://link.springer.com/content/pdf/10.1245/s10434-024-16352-z.pdfDirect OA link when available
- Concepts
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Medicine, Odds ratio, Papillary thyroid cancer, Confidence interval, Thyroidectomy, Surgical oncology, Thyroid cancer, Thyroid, Disease, Internal medicine, Radiology, Surgery, GastroenterologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
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24Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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