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Authordc.contributor.authorZafereo, Mark 
Authordc.contributor.authorMcIver, Bryan 
Authordc.contributor.authorVargas Salas, Sergio 
Authordc.contributor.authorDomínguez, Jose 
Authordc.contributor.authorSteward, David L. 
Authordc.contributor.authorHolsinger, F. Christopher 
Authordc.contributor.authorKandil, Emad 
Authordc.contributor.authorWilliams, Michelle 
Authordc.contributor.authorLoyola, Soledad 
Authordc.contributor.authorSolar, Antonieta 
Authordc.contributor.authorRoa, Juan 
Authordc.contributor.authorLeon, Augusto 
Authordc.contributor.authorDroppelman, Nicolas 
Authordc.contributor.authorLobos, Maite 
Authordc.contributor.authorArias, Tatiana 
Authordc.contributor.authorKong, Christina S. 
Authordc.contributor.authorBusaidy, Naifa 
Authordc.contributor.authorGrubbs, Elizabeth G. 
Authordc.contributor.authorGraham, Paul 
Authordc.contributor.authorStewart, John 
Authordc.contributor.authorTang, Alice 
Authordc.contributor.authorWang, Jiang 
Authordc.contributor.authorOrloff, Lisa 
Authordc.contributor.authorHenriquez, Marcela 
Authordc.contributor.authorLagos, Marcela 
Authordc.contributor.authorOsorio, Miren 
Authordc.contributor.authorSchachter, Dina 
Authordc.contributor.authorFranco, Carmen 
Authordc.contributor.authorMedina, Francisco 
Authordc.contributor.authorWohllk Gonzalez, Nelson 
Authordc.contributor.authorDiaz, Rene 
Authordc.contributor.authorVeliz Lopez, Jesus 
Authordc.contributor.authorHorvath, Eleonora 
Authordc.contributor.authorTala, Hernan 
Authordc.contributor.authorPineda Bravo, Pedro 
Authordc.contributor.authorArroyo Albala, Patricia 
Authordc.contributor.authorVásquez, Felix 
Authordc.contributor.authorTraipe, Eufrosina 
Authordc.contributor.authorMarin, Luis 
Authordc.contributor.authorMiranda, Giovanna 
Authordc.contributor.authorBruce, Elsa 
Authordc.contributor.authorBracamonte, Milagros 
Authordc.contributor.authorMena, Natalia 
Authordc.contributor.authorGonzalez, Hernan E. 
Admission datedc.date.accessioned2020-05-28T22:33:59Z
Available datedc.date.available2020-05-28T22:33:59Z
Publication datedc.date.issued2020
Cita de ítemdc.identifier.citationThyroid Volumen: 30 Número: 5 Páginas: 704-712 MAY 1 2020es_ES
Identifierdc.identifier.other10.1089/thy.2019.0490
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/175075
Abstractdc.description.abstractBackground: Although most thyroid nodules with indeterminate cytology are benign, in most of the world, surgery remains as the most frequent diagnostic approach. We have previously reported a 10-gene thyroid genetic classifier, which accurately predicts benign thyroid nodules. The assay is a prototype diagnostic kit suitable for reference laboratory testing and could potentially avoid unnecessary diagnostic surgery in patients with indeterminate thyroid cytology. Methods: Classifier performance was tested in two independent, ethnically diverse, prospective multicenter trials (TGCT-1/Chile and TGCT-2/USA). A total of 4061 fine-needle aspirations were collected from 15 institutions, of which 897 (22%) were called indeterminate. The clinical site was blind to the classifier score and the clinical laboratory blind to the pathology report. A matched surgical pathology and valid classifier score was available for 270 samples. Results: Cohorts showed significant differences, including (i) clinical site patient source (academic, 43% and 97% for TGCT-1 and -2, respectively); (ii) ethnic diversity, with a greater proportion of the Hispanic population (40% vs. 3%) for TGCT-1 and a greater proportion of African American (11% vs. 0%) and Asian (10% vs. 1%) populations for TGCT-2; and (iii) tumor size (mean of 1.7 and 2.5 cm for TGCT-1 and -2, respectively). Overall, there were no differences in the histopathological profile between cohorts. Forty-one of 155 and 45 of 115 nodules were malignant (cancer prevalence of 26% and 39% for TGCT-1 and -2, respectively). The classifier predicted 37 of 41 and 41 of 45 malignant nodules, yielding a sensitivity of 90% [95% confidence interval; CI 77-97] and 91% [95% CI 79-98] for TGCT-1 and -2, respectively. One hundred one of 114 and 61 of 70 nodules were correctly predicted as benign, yielding a specificity of 89% [95% CI 82-94] and 87% [95% CI 77-94], respectively. The negative predictive values for TGCT-1 and TGCT-2 were 96% and 94%, respectively, whereas the positive predictive values were 74% and 82%, respectively. The overall accuracy for both cohorts was 89%. Conclusions: Clinical validation of the classifier demonstrates equivalent performance in two independent and ethnically diverse cohorts, accurately predicting benign thyroid nodules that can undergo surveillance as an alternative to diagnostic surgery.es_ES
Patrocinadordc.description.sponsorshipBiomedical Research Consortium-Chile 13CTI-21526P2 Chilean Economic Development Agency 14IEAT-28672 17ITE2-82143 GeneproDX Chile SpAes_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherMary Ann Liebertes_ES
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
Sourcedc.sourceThyroides_ES
Keywordsdc.subjectIndeterminate thyroid cytologyes_ES
Keywordsdc.subjectGene classifieres_ES
Keywordsdc.subjectClinical validationes_ES
Títulodc.titleA Thyroid Genetic Classifier Correctly Predicts Benign Nodules with Indeterminate Cytology: Two Independent, Multicenter, Prospective Validation Trialses_ES
Document typedc.typeArtículo de revistaes_ES
dcterms.accessRightsdcterms.accessRightsAcceso Abierto
Catalogueruchile.catalogadorcrbes_ES
Indexationuchile.indexArtículo de publicación ISI
Indexationuchile.indexArtículo de publicación SCOPUS


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile