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Dynamic Risk Stratification Integrated with ATA Risk System for Predicting Long-Term Outcome in Papillary Thyroid Cancer
SIMPLE SUMMARY: This study reports the clinical outcome of 704 papillary thyroid cancer (PTC) patients followed at our institution for a median time of 8 years. Currently, the long-term follow-up is based on the response to initial therapy (excellent response, indeterminate response, or biochemical...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526505/ https://www.ncbi.nlm.nih.gov/pubmed/37760625 http://dx.doi.org/10.3390/cancers15184656 |
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author | Valerio, Laura Dalmiglio, Cristina Maino, Fabio Mattii, Elisa Trimarchi, Andrea Cartocci, Alessandra Castagna, Maria Grazia |
author_facet | Valerio, Laura Dalmiglio, Cristina Maino, Fabio Mattii, Elisa Trimarchi, Andrea Cartocci, Alessandra Castagna, Maria Grazia |
author_sort | Valerio, Laura |
collection | PubMed |
description | SIMPLE SUMMARY: This study reports the clinical outcome of 704 papillary thyroid cancer (PTC) patients followed at our institution for a median time of 8 years. Currently, the long-term follow-up is based on the response to initial therapy (excellent response, indeterminate response, or biochemical or structural incomplete response) evaluated at 6–12 months after initial treatment. We assumed that the long-term follow-up of PTC patients might be better tailored by integrating the response to initial therapy with the American Thyroid Association (ATA) risk stratification system (low-, intermediate- and high-risk). This study confirmed that the initial response to therapy is predictive of the long-term outcome in PTC patients but also showed that the initial ATA risk class may be useful for improving the risk-adapted management of PTC patients based on the response to initial therapy. ABSTRACT: Background: In recent years, there has been a renewed interest in thyroid cancer management paradigms that use individualized risk assessments as the basis for treatment and follow-up recommendations. In this study, we assumed that the long-term follow-up of differentiated thyroid cancer patients might be better tailored by integrating the response to initial therapy with the America Thyroid Association (ATA) risk classes. Methods: This retrospective study included low- and intermediate-risk papillary thyroid cancer (PTC) patients followed up for a median time of 8 years and classified according to the response to initial therapy assessed 6–12 months after initial treatment. Results: After a median follow-up of 8 years, in the initial excellent response subgroup of PTC patients (n = 522), the rate of recurrent disease was significantly higher in intermediate-risk patients than in low-risk PTC patients (6.9% versus 1.2%, p = 0.0005). Similarly, in the initial biochemical incomplete response subgroup (n = 82), the rate of excellent response was significantly higher in low-risk PTC patients (58.0%) than in intermediate-risk PTC patients (33.3%) (p = 0.007). Finally, in the initial structural incomplete response subgroup (n = 66), the rate of excellent response was higher in low-risk patients (80.0%) than in intermediate-risk patients (46.4%) (p = 0.08). Moreover, all patients with initial indeterminate response had an excellent response at the last follow-up visit. ATA risk classes were independently associated with long-term outcome in each subgroup of patients classified dynamically after initial therapy and the overall prognostic performance, defined via ROC curve analysis, of response to initial therapy integrated with the ATA risk system (AUC: 0.89; 95% CI: 0.86–0.92) was significantly higher compared to the ATA risk stratification (AUC 0.69; 95% CI: 0.65–0.74, p < 0.001) or the dynamic risk stratification (DRS) systems alone (AUC: 0.86 95% CI: 0.82–0.90, p = 0.007). Conclusions: This study of a large cohort of PTC patients showed that the initial ATA risk criteria may be useful for improving the risk-adapted management of PTC patients based on the response to initial therapy. |
format | Online Article Text |
id | pubmed-10526505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105265052023-09-28 Dynamic Risk Stratification Integrated with ATA Risk System for Predicting Long-Term Outcome in Papillary Thyroid Cancer Valerio, Laura Dalmiglio, Cristina Maino, Fabio Mattii, Elisa Trimarchi, Andrea Cartocci, Alessandra Castagna, Maria Grazia Cancers (Basel) Article SIMPLE SUMMARY: This study reports the clinical outcome of 704 papillary thyroid cancer (PTC) patients followed at our institution for a median time of 8 years. Currently, the long-term follow-up is based on the response to initial therapy (excellent response, indeterminate response, or biochemical or structural incomplete response) evaluated at 6–12 months after initial treatment. We assumed that the long-term follow-up of PTC patients might be better tailored by integrating the response to initial therapy with the American Thyroid Association (ATA) risk stratification system (low-, intermediate- and high-risk). This study confirmed that the initial response to therapy is predictive of the long-term outcome in PTC patients but also showed that the initial ATA risk class may be useful for improving the risk-adapted management of PTC patients based on the response to initial therapy. ABSTRACT: Background: In recent years, there has been a renewed interest in thyroid cancer management paradigms that use individualized risk assessments as the basis for treatment and follow-up recommendations. In this study, we assumed that the long-term follow-up of differentiated thyroid cancer patients might be better tailored by integrating the response to initial therapy with the America Thyroid Association (ATA) risk classes. Methods: This retrospective study included low- and intermediate-risk papillary thyroid cancer (PTC) patients followed up for a median time of 8 years and classified according to the response to initial therapy assessed 6–12 months after initial treatment. Results: After a median follow-up of 8 years, in the initial excellent response subgroup of PTC patients (n = 522), the rate of recurrent disease was significantly higher in intermediate-risk patients than in low-risk PTC patients (6.9% versus 1.2%, p = 0.0005). Similarly, in the initial biochemical incomplete response subgroup (n = 82), the rate of excellent response was significantly higher in low-risk PTC patients (58.0%) than in intermediate-risk PTC patients (33.3%) (p = 0.007). Finally, in the initial structural incomplete response subgroup (n = 66), the rate of excellent response was higher in low-risk patients (80.0%) than in intermediate-risk patients (46.4%) (p = 0.08). Moreover, all patients with initial indeterminate response had an excellent response at the last follow-up visit. ATA risk classes were independently associated with long-term outcome in each subgroup of patients classified dynamically after initial therapy and the overall prognostic performance, defined via ROC curve analysis, of response to initial therapy integrated with the ATA risk system (AUC: 0.89; 95% CI: 0.86–0.92) was significantly higher compared to the ATA risk stratification (AUC 0.69; 95% CI: 0.65–0.74, p < 0.001) or the dynamic risk stratification (DRS) systems alone (AUC: 0.86 95% CI: 0.82–0.90, p = 0.007). Conclusions: This study of a large cohort of PTC patients showed that the initial ATA risk criteria may be useful for improving the risk-adapted management of PTC patients based on the response to initial therapy. MDPI 2023-09-21 /pmc/articles/PMC10526505/ /pubmed/37760625 http://dx.doi.org/10.3390/cancers15184656 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Valerio, Laura Dalmiglio, Cristina Maino, Fabio Mattii, Elisa Trimarchi, Andrea Cartocci, Alessandra Castagna, Maria Grazia Dynamic Risk Stratification Integrated with ATA Risk System for Predicting Long-Term Outcome in Papillary Thyroid Cancer |
title | Dynamic Risk Stratification Integrated with ATA Risk System for Predicting Long-Term Outcome in Papillary Thyroid Cancer |
title_full | Dynamic Risk Stratification Integrated with ATA Risk System for Predicting Long-Term Outcome in Papillary Thyroid Cancer |
title_fullStr | Dynamic Risk Stratification Integrated with ATA Risk System for Predicting Long-Term Outcome in Papillary Thyroid Cancer |
title_full_unstemmed | Dynamic Risk Stratification Integrated with ATA Risk System for Predicting Long-Term Outcome in Papillary Thyroid Cancer |
title_short | Dynamic Risk Stratification Integrated with ATA Risk System for Predicting Long-Term Outcome in Papillary Thyroid Cancer |
title_sort | dynamic risk stratification integrated with ata risk system for predicting long-term outcome in papillary thyroid cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526505/ https://www.ncbi.nlm.nih.gov/pubmed/37760625 http://dx.doi.org/10.3390/cancers15184656 |
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