Risk Stratification in Differentiated Thyroid Cancer: Importance and Clinical Implications of Preoperative Risk Stratification

2018 ◽  
Vol 5 (4) ◽  
Author(s):  
R. Michael Tuttle
Keyword(s):  
Thyroid Cancer ◽  
Risk Stratification ◽  
Differentiated Thyroid Cancer ◽  
Clinical Implications ◽  
Preoperative Risk ◽  
Preoperative Risk Stratification

Validation of dynamic risk stratification in pediatric differentiated thyroid cancer

Endocrine ◽  
2017 ◽  
Vol 58 (1) ◽  
pp. 167-175 ◽  
Author(s):  
Seo Young Sohn ◽  
Young Nam Kim ◽  
Hye In Kim ◽  
Tae Hyuk Kim ◽  
Sun Wook Kim ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
Risk Stratification ◽  
Differentiated Thyroid Cancer ◽  
Dynamic Risk

The Influence of Age on Disease Outcome in 2015 ATA High Risk Differentiated Thyroid Cancer Patients

2021 ◽  
Author(s):  
Evert F.s. van Velsen ◽  
Robin P. Peeters ◽  
Merel T. Stegenga ◽  
F.j. van Kemenade ◽  
Tessa M. van Ginhoven ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
High Risk ◽  
Risk Stratification ◽  
Differentiated Thyroid Cancer ◽  
Response To Therapy ◽  
Disease Outcome ◽  
High Risk Patients ◽  
Risk Patients ◽  
Stratification System ◽  
Risk Stratification System

Objective Recent research suggests that the addition of age improves the 2015 American Thyroid Association (ATA) Risk Stratification System for differentiated thyroid cancer (DTC). The aim of our study was to investigate the influence of age on disease outcome in ATA High Risk patients with a focus on differences between patients with papillary (PTC) and follicular thyroid cancer (FTC). Methods We retrospectively studied adult patients with High Risk DTC from a Dutch university hospital. Logistic regression and Cox proportional hazards models were used to estimate the effects of age (at diagnosis) and several age cutoffs (per five years increment between 20 and 80 years) on (i) response to therapy, (ii) developing no evidence of disease (NED), (iii) recurrence, and (iv) disease specific mortality (DSM). Results We included 236 ATA High Risk patients (32% FTC) with a median follow-up of 6 years. Age, either continuously or dichotomously, had a significant influence on having an excellent response after initial therapy, developing NED, recurrence, and DSM for PTC and FTC. For FTC, an age cutoff of 65 or 70 years showed the best statistical model performance, while this was 50 or 60 years for PTC. Conclusions In a population of patients with High Risk DTC, older age has a significant negative influence on disease outcomes. Slightly different optimal age cutoffs were identified for the different outcomes, and these cutoffs differed between PTC and FTC. Therefore, the ATA Risk Stratification System may further improve should age be incorporated as an additional risk factor.

Incidence and dynamic risk stratification in differentiated thyroid cancer in a high-resolution clinic, 2002–2017

2021 ◽  
Author(s):  
Gonzalo Díaz-Soto ◽  
Beatriz Torres Torres ◽  
Juan José López ◽  
Susana García ◽  
María Álvarez Quiñones ◽  
...  
Keyword(s):  
Thyroid Cancer ◽  
High Resolution ◽  
Risk Stratification ◽  
Differentiated Thyroid Cancer ◽  
Dynamic Risk
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