1. Clinical Value of Lymph Node Ratio Integration with the 8 th Edition of the UICC TNM Classification and 2015 ATA Risk Stratification Systems for Recurrence Prediction in Papillary Thyroid Cancer.
- Author
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Lee J, Lee SG, Kim K, Yim SH, Ryu H, Lee CR, Kang SW, Jeong JJ, Nam KH, Chung WY, and Jo YS
- Subjects
- Adolescent, Adult, Aged, Aged, 80 and over, Child, Female, Humans, Lymph Node Ratio methods, Male, Middle Aged, Neoplasm Recurrence, Local pathology, Neoplasm Staging, Prognosis, Retrospective Studies, Thyroid Cancer, Papillary metabolism, Thyroid Gland pathology, Thyroid Neoplasms pathology, United States, Lymph Node Ratio standards, Risk Assessment methods, Thyroid Cancer, Papillary physiopathology
- Abstract
Recently, the 2015 American Thyroid Association (ATA) risk stratification and the 8
th edition of the American Joint Committee on Cancer/Union for International Cancer Control (AJCC/UICC) TNM staging system were released. This study was conducted to assess the clinical value of the lymph node ratio (LNR) as a predictor of recurrence when integrated with these newly released stratification systems, and to compare the predictive accuracy of the modified systems with that of the newly released systems. The optimal LNR threshold value for predicting papillary thyroid cancer (PTC) recurrence was 0.17857 using the Contal and O'Quigley method. The 8th edition of the AJCC/UICC TNM staging system with the LNR and the 2015 ATA risk stratification system with the LNR were significant predictors of recurrence. Furthermore, calculation of the proportion of variance explained (PVE), the Akaike information criterion (AIC), Harrell's c index, and the incremental area under the curve (iAUC) revealed that the 8th edition of the TNM staging system with the LNR, and the 2015 ATA risk stratification system with the LNR, showed the best predictive performance. Integration of the LNR with the TNM staging and the ATA risk stratification systems should improve prediction of recurrence in patients with PTC.- Published
- 2019
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