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Thyroid Nodule: Alpha Score 2.0 Classification for FNAB Selection, Multicentric Study in Latin America / Carlos Mario González Vásquez
Título : Thyroid Nodule: Alpha Score 2.0 Classification for FNAB Selection, Multicentric Study in Latin America Tipo de documento : documento electrónico Autores : Carlos Mario González Vásquez, Fecha de publicación : 2021 Títulos uniformes : Open Journal of Radiology Idioma : Inglés (eng) Palabras clave : Thyroid Cancer-Clinical Radiology-Imaging Thyroid Nodule Alpha Score TIRADS Thyroid Ultrasonography Resumen : Introduction: To perform a Latin-American multicentric study for the prediction of benign and malignant thyroid nodules using Alpha Score, and to compare it with ACR TIRADS® and Bethesda®. Materials and Methods: A prospective multicentric study in 10 radiological hospitals and institutions of Latin America was performed and 818 thyroid nodules were analyzed by ultrasound and classified by using both ACR TIRADS® and Alpha Score; fine-needle aspiration biopsy was performed when needed and classified with Bethesda. The relationships between predictors were analyzed by using binary logistic regression, statistical significance was defined by a p-value of 0.05, with an error margin of 4% and 95% confidence intervals. Results: Alpha Score 2.0 establishes five types of malignant predictors: microcalcifications, irregular borders, taller-than-wide shape, predominant solid texture and hypoechogenicity; a diameter equal to or greater than 1.5 cm adds an extra point to the final score. Resulting classification divides TNs into 4 categories: benign (1.9%), low suspicion (8.7%), mild suspicion (13.6%) and high suspicion (75.7%) of malignancy probability; sensitivity of 82%, specificity of 74%, the positive predictive value of 94%, the negative predictive value of 51%, the statistical accuracy of 81%, odds ratio of 108.89 and correlation with ACR TIRADS of 0.77 and Bethesda of 0.91. Conclusions: Alpha Score 2.0 has superior diagnostic accuracy and performance compared to the previously published Alpha Score and is able to classify a benign TN in a precise, safe and accurate way, avoiding unnecessary FNABs or determining the necessity of FNAB in cases of moderate to high suspicion of malignancy. Mención de responsabilidad : Glenn Mena, Maria Cristina Chammas, Carlos Mario Gonzalez Vasquez, Lylian Rocío Villagómez, Marco Alfredo Muñoz Pico, Patricio Alejandro Montalvo, Santiago Mena-Bucheli, Julio Olmedo, Elizabeth Quintero, Pedro Henrique de Marqui Moraes, Osmar Cassio Saito, Hubertino Diaz, Denise Romero, Gabriela Velalcazar, Angel Ramón Sosa Fleitas, Yamil Oliver Quevedo Ontaneda, Victor Ricardo Chara DOI (Digital Object Identifier) : 10.4236/ojrad.2021.114015 Derechos de uso : CC BY En línea : https://www.scirp.org/journal/paperinformation.aspx?paperid=113741 Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_display&id=5842 Thyroid Nodule: Alpha Score 2.0 Classification for FNAB Selection, Multicentric Study in Latin America [documento electrónico] / Carlos Mario González Vásquez, . - 2021.
Obra : Open Journal of Radiology
Idioma : Inglés (eng)
Palabras clave : Thyroid Cancer-Clinical Radiology-Imaging Thyroid Nodule Alpha Score TIRADS Thyroid Ultrasonography Resumen : Introduction: To perform a Latin-American multicentric study for the prediction of benign and malignant thyroid nodules using Alpha Score, and to compare it with ACR TIRADS® and Bethesda®. Materials and Methods: A prospective multicentric study in 10 radiological hospitals and institutions of Latin America was performed and 818 thyroid nodules were analyzed by ultrasound and classified by using both ACR TIRADS® and Alpha Score; fine-needle aspiration biopsy was performed when needed and classified with Bethesda. The relationships between predictors were analyzed by using binary logistic regression, statistical significance was defined by a p-value of 0.05, with an error margin of 4% and 95% confidence intervals. Results: Alpha Score 2.0 establishes five types of malignant predictors: microcalcifications, irregular borders, taller-than-wide shape, predominant solid texture and hypoechogenicity; a diameter equal to or greater than 1.5 cm adds an extra point to the final score. Resulting classification divides TNs into 4 categories: benign (1.9%), low suspicion (8.7%), mild suspicion (13.6%) and high suspicion (75.7%) of malignancy probability; sensitivity of 82%, specificity of 74%, the positive predictive value of 94%, the negative predictive value of 51%, the statistical accuracy of 81%, odds ratio of 108.89 and correlation with ACR TIRADS of 0.77 and Bethesda of 0.91. Conclusions: Alpha Score 2.0 has superior diagnostic accuracy and performance compared to the previously published Alpha Score and is able to classify a benign TN in a precise, safe and accurate way, avoiding unnecessary FNABs or determining the necessity of FNAB in cases of moderate to high suspicion of malignancy. Mención de responsabilidad : Glenn Mena, Maria Cristina Chammas, Carlos Mario Gonzalez Vasquez, Lylian Rocío Villagómez, Marco Alfredo Muñoz Pico, Patricio Alejandro Montalvo, Santiago Mena-Bucheli, Julio Olmedo, Elizabeth Quintero, Pedro Henrique de Marqui Moraes, Osmar Cassio Saito, Hubertino Diaz, Denise Romero, Gabriela Velalcazar, Angel Ramón Sosa Fleitas, Yamil Oliver Quevedo Ontaneda, Victor Ricardo Chara DOI (Digital Object Identifier) : 10.4236/ojrad.2021.114015 Derechos de uso : CC BY En línea : https://www.scirp.org/journal/paperinformation.aspx?paperid=113741 Enlace permanente : https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_display&id=5842 Reserva
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