| 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_dis |
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 RadiologyIdioma : 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_dis |
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