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ATA risk stratification in papillary thyroid microcarcinoma has low positive predictive value when identifying
Andy Tran1, Ronald J Weigel2, Anna C Beck3
1University of Iowa Carver College of Medicine, USA.
American Journal of Surgery
|November 15, 2023
Summary
The American Thyroid Association Risk Stratification System (ATA-RSS) 2015 predicts papillary thyroid microcarcinoma (PTMC) recurrence with high negative predictive value. Excluding microscopic extrathyroidal extension improved its positive predictive value, potentially reducing overtreatment.
Area of Science:
- Endocrinology
- Oncology
- Surgical Pathology
Background:
- Papillary thyroid microcarcinomas (PTMC) incidence is rising, raising concerns about overdiagnosis.
- The American Thyroid Association Risk Stratification System (ATA-RSS) 2015 is a tool used in thyroid cancer management.
Purpose of the Study:
- To assess the utility of the ATA-RSS 2015 in predicting disease recurrence in patients diagnosed with PTMC.
- To evaluate the performance of the ATA-RSS 2015 in identifying patients at risk for PTMC recurrence.
Main Methods:
- A retrospective analysis of electronic health records from patients who underwent total thyroidectomy.
- Application of the ATA-RSS 2015 criteria to patients with PTMC for risk stratification.
- Calculation of the validity of the ATA-RSS 2015 in predicting disease recurrence over a 10-year median follow-up period.
Main Results:
- Patients with high/intermediate ATA risk had significantly higher recurrence rates (33%) compared to low-risk patients (4%) (p=0.002).
- The ATA-RSS 2015 demonstrated high negative predictive value (96.6%) but low positive predictive value (33.3%) for recurrence detection.
- Excluding microscopic extrathyroidal extension (ETE) as an intermediate risk criterion improved the positive predictive value to 50% and accuracy to 92.5%.
Conclusions:
- The ATA-RSS 2015 is effective in predicting PTMC recurrence, particularly in ruling out recurrence (high NPV).
- Modifying the ATA-RSS 2015 by excluding microscopic ETE may enhance its positive predictive value, potentially aiding in the prevention of overtreatment for PTMC.

