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A Three-Domain Scoring System to Customize the Risk of Relapse of Differentiated Thyroid Carcinoma
SIMPLE SUMMARY: In this study, we have identified and validated a large series of patients affected by DTC, and created a three-domain scoring system able to identify the risk of persistence-relapse of disease after initial treatment (e.g., thyroidectomy and RAI). This three-domain system includes p...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8430463/ https://www.ncbi.nlm.nih.gov/pubmed/34503146 http://dx.doi.org/10.3390/cancers13174335 |
Sumario: | SIMPLE SUMMARY: In this study, we have identified and validated a large series of patients affected by DTC, and created a three-domain scoring system able to identify the risk of persistence-relapse of disease after initial treatment (e.g., thyroidectomy and RAI). This three-domain system includes potential prognostic factors such as demographic (age and gender) and RAI-related (pre-RAI Tg levels and the post-therapeutic (131)I WBS) data. This score is easy to calculate and interpret, as it provides a score ranging from 0 to 100; it allows clinicians to identify those patients who need stricter clinical surveillance or proper treatment due to a risk of disease persistence/relapse. This prognostic system can be used to semi-quantify the recurrence risk. ABSTRACT: Purpose: the validation of a new scoring model considering the principal risk factors of differentiated thyroid cancer (DTC) relapse. Methods: we evaluated all DTC patients treated with thyroidectomy and radioactive iodine (RAI) therapy. Three domains were considered: the demographic domain (age and gender), the surgical domain (histology and the American Thyroid Association risk categories), and the RAI-related domain (pre-RAI thyroglobulin and post-therapeutic (131)I whole-body scan). The progression-free survival was assessed. The patients’ sample was randomly split into a training and validation set. The three-domain score was calculated as the weighted sum of the levels of each significant factor, then scaled to an integer range (0–100) and, finally, stratified into terciles: mild risk 0–33, moderate risk 34–66, and severe risk 67–100. Results: 907 DTC patients were included. The RAI-related domain was the most relevant factor in the score calculation. The tercile stratification identified significantly different survival curves: patients within the two upper terciles showed approximately 6 to 30 times more progressive risk than patients at mild risk. Conclusion: we have validated a three-domain scoring system and the principal impact on this score is provided by the peri-RAI findings, whose prognostic role seems to be essential in risk identification. |
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