Nomogram to differentiate benign and malignant thyroid nodules in the American College of Radiology Thyroid Imaging Reporting and Data System level 5
Authors' conclusion
The presented nomogram model, based on age, tumour features and ACR score, can differentiate benign and malignant thyroid nodules in TR5 and had a high specificity.
Study context
- Population
- Patients with American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) level 5 (TR5) thyroid nodules; primary cohort May 2018–December 2019, external validation cohort April 2021–January 2022640 primary, 201 validation
- Comparison
- Nomogram vs ACR score model
- Outcome
- Differentiation of benign and malignant TR5 nodules
Methodological detailsretrospective, nomogram development and external validation
- Retrospective
- Nomogram development and external validation
Performance
As reported in the abstract
| Test or model | AUC (primary cohort) | AUC (external validation cohort) | AUC | Specificity |
|---|---|---|---|---|
| Nomogram | 0.786 (95% CI 0.742-0.830) | 0.712 (95% CI 0.615-0.809) | — not stated in the abstract | 0.783 |
| ACR score model | — not stated in the abstract | — not stated in the abstract | 0.626 | 0.391 |
AUC (primary cohort)
Nomogram0.786 (95% CI 0.742-0.830)
ACR score model— not stated in the abstract
AUC (external validation cohort)
Nomogram0.712 (95% CI 0.615-0.809)
ACR score model— not stated in the abstract
AUC
Nomogram— not stated in the abstract
ACR score model0.626
Specificity
Nomogram0.783
ACR score model0.391
— not stated in the abstract
- Nomogram vs ACR score model: P < 0.001 — 0.786 vs. 0.626
Further findings
Independent risk factors for thyroid cancer
- Age, tumour location, multifocality, concomitant Hashimoto's disease, ultrasound (US) neck lymph node status and ACR score were independent risk factors (all p < .05)
Original publication
Nomogram to differentiate benign and malignant thyroid nodules in the American College of Radiology Thyroid Imaging Reporting and Data System level 5. Clin Endocrinol (Oxf). Published 3 October 2022. doi:10.
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