Prospective Validation of an Ultrasound Capsule-Based Model for Predicting Follicular Thyroid Carcinoma Without High-Risk Features
- Xiang-Yun Yao 1, Xin Li 2, Fang Mei 3, Bo Yu 1, Shi-Bing Song 2, Li-Gang Cui 1, Shi Tan 1
- Xiang-Yun Yao 1, Xin Li 2, Fang Mei 3
- 1Department of Ultrasound, Peking University Third Hospital, Beijing, China.
- 2Department of General Surgery, Peking University Third Hospital, Beijing, China.
- 3Department of Pathology, Peking University Third Hospital, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
- 0Department of Ultrasound, Peking University Third Hospital, Beijing, China.
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View abstract on PubMed
Summary
This summary is machine-generated.A new ultrasound (US) capsule-based model effectively diagnoses follicular thyroid carcinoma (FTC) by visualizing the follicular thyroid neoplasm (FTN) capsule. This method offers high specificity, aiding in surgical decisions for FTC.
Area Of Science
- Endocrinology
- Oncology
- Radiology
Background
- Surgical indications for follicular thyroid neoplasms (FTNs) are debated due to preoperative diagnostic challenges of follicular thyroid carcinoma (FTC).
- Accurate preoperative diagnosis of FTC is crucial for appropriate surgical management.
- This study focuses on sonographic features of the FTN capsule to improve preoperative diagnosis.
Purpose Of The Study
- To explore sonographic features of the FTN capsule.
- To establish a prediction model for diagnosing FTC without high-risk features.
- To compare the diagnostic performance of the US capsule-based model with existing risk stratification systems.
Main Methods
- Prospective cohort study of adult patients with FTN, excluding those with extrathyroidal extension or extracapsular angioinvasion.
- Intraoperative ultrasound (US)-guided incisions in 20 patients during thyroidectomy.
- Validation of sonographic capsule features against US, macroscopic, and microscopic pathology images.
Main Results
- The study included 74 unifocal and 14 multifocal FTN cases (67 adenomas, 35 FTCs).
- The US capsule-based model, ACR-TIRADS, and F-TIRADS showed comparable diagnostic performance (AUCs 0.839-0.852).
- The US capsule-based model and F-TIRADS demonstrated higher specificity than ACR-TIRADS (88.1% and 80.60% vs. 44.8%).
Conclusions
- Clear visualization of the FTN capsule via careful US scanning is achievable.
- The US capsule-based model provides a straightforward and specific method for diagnosing FTC.
- This approach aids in guiding completion thyroidectomy by detecting intracapsular angioinvasion.
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