Radiomics in predicting mutation status for thyroid cancer: A preliminary study using radiomics features for predicting BRAFV600E mutations in papillary thyroid carcinoma

To evaluate whether if ultrasonography (US)-based radiomics enables prediction of the presence of BRAFV600E mutations among patients diagnosed as papillary thyroid carcninoma (PTC). From December 2015 to May 2017, 527 patients who had been treated surgically for PTC were included (training: 387, val...

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Veröffentlicht in:PloS one 2020, Vol.15 (2), p.e0228968-e0228968
Hauptverfasser: Yoon, Jung Hyun, Han, Kyunghwa, Lee, Eunjung, Lee, Jandee, Kim, Eun-Kyung, Moon, Hee Jung, Park, Vivian Youngjean, Nam, Kee Hyun, Kwak, Jin Young
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Sprache:eng
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Zusammenfassung:To evaluate whether if ultrasonography (US)-based radiomics enables prediction of the presence of BRAFV600E mutations among patients diagnosed as papillary thyroid carcninoma (PTC). From December 2015 to May 2017, 527 patients who had been treated surgically for PTC were included (training: 387, validation: 140). All patients had BRAFV600E mutation analysis performed on surgical specimen. Feature extraction was performed using preoperative US images of the 527 patients (mean size of PTC: 16.4mm±7.9, range, 10-85 mm). A Radiomics Score was generated by using the least absolute shrinkage and selection operator (LASSO) regression model. Univariable/multivariable logistic regression analysis was performed to evaluate the factors including Radiomics Score in predicting BRAFV600E mutation. Subgroup analysis including conventional PTC
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0228968