VOLPE, FABIO (2024) External validation of a predictive model for post-treatment persistent disease by 131I whole-body scintigraphy in patients with differentiated thyroid cancer. [Tesi di dottorato]

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: External validation of a predictive model for post-treatment persistent disease by 131I whole-body scintigraphy in patients with differentiated thyroid cancer
Autori:
Autore
Email
VOLPE, FABIO
fabio.volpe@unina.it
Data: 2024
Numero di pagine: 23
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Scienze Biomediche Avanzate
Dottorato: Scienze biomorfologiche e chirurgiche
Ciclo di dottorato: 37
Coordinatore del Corso di dottorato:
nome
email
CUOCOLO, ALBERTO
cuocolo@unina.it
Tutor:
nome
email
KLAIN, MICHELE
[non definito]
Data: 2024
Numero di pagine: 23
Parole chiave: Thyroid cancer; Whole-body scintigraphy; Risk analysis; External validation
Settori scientifico-disciplinari del MIUR: Area 06 - Scienze mediche > MED/36 - Diagnostica per immagini e radioterapia
Informazioni aggiuntive: CICLO 37
Depositato il: 17 Ott 2025 15:43
Ultima modifica: 12 Ago 2026 05:38
URI: https://www.fedoa.unina.it/id/eprint/16508

Abstract

Abstract Purpose: We performed an external validation of a predictive model for persistent/metastatic disease in patients with differentiated thyroid cancer (DTC) at post-treatment 131I whole-body scintigraphy (WBS). Methods: Our study population included 836 patients (median age 44 years, 78% women) with DTC referred from 1994 to 2021 at our center. For the external validation, N stage and thyroglobulin (Tg) levels were put into the decision tree (DT) model using its same Tg cut-off values. Age, sex, histology, T stage, N stage, American Thyroid Association risk classes, thyroid-stimulating hormone, radioactive iodine (RAI) activity, and Tg levels were considered potential predictors of post-treatment WBS results for an internal model. Results: Ninety-nine patients (12%) had positive post-treatment WBS. The area under receiver operating characteristic (ROC) curve for predicting WBS findings through the external validation was 0.60 (95% confidence interval, CI, 0.56-0.64), and positive and negative predictive values were 58% (95% CI, 41-74%) and 90% (95% CI, 88-92%). Concerning the internal model, Tg levels, T stage, N stage, and RAI activity were significant predictors of WBS findings. For this model the area under ROC curve was 0.75 (95% CI, 0.69-0.81), and positive and negative predictive values were 90% (95% CI, 68-99% and 88-92%). Conclusions: The external validation of the proposed DT model has a limited value for predicting post-treatment 131I-WBS findings in our patients. The internal model including also T stage and RAI activity demonstrates higher predictive value.

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