ArticleVirchows Archiv : an international journal of pathology2014
Morphology predicts BRAF (V⁶⁰⁰E) mutation in papillary thyroid carcinoma: an interobserver reproducibility study.
Article in Virchows Archiv : an international journal of pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 39 citations in OpenAlex.
- Papillary thyroid carcinoma: morphological features and association with normalized BRAFV600E allelic frequency; clonality and morphology investigating mutations through microscopy.Thyroid research · 2025Article
- Deep learning for multitask prediction on thyroid nodule frozen sections.Frontiers in oncology · 2025Article
- The Presence of Typical "BRAFV600E-Like" Atypia in Papillary Thyroid Carcinoma is Highly Specific for the Presence of the BRAFV600E Mutation.Endocrine pathology · 2023Article
- New insights into intranuclear inclusions in thyroid carcinoma: Association with autophagy and with BRAFV600E mutation.PloS one · 2019Article
- Immunohistochemical Biomarkers in Thyroid Pathology.Endocrine pathology · 2018Review
- Frequent BRAFEndocrine pathology · 2017Article
- The expression of monocarboxylate transporters in thyroid carcinoma can be associated with the morphological features of BRAFEndocrine · 2017Article
- Review
- Is morphology alone able to predict BRAF-mutated malignancies on thyroid FNAC?Virchows Archiv : an international journal of pathology · 2014Article
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5 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Papillary thyroid carcinomas (PTC) with BRAF (V600E) mutation are morphologically distinctive. They are typically classic or tall cell variants, show infiltrative borders, and are associated with desmoplasia/fibrosis, psammoma bodies, and well-developed nuclear features of papillary carcinoma. We hypothesize that morphologic features of PTC can help in the prediction of BRAF (V600E) mutation, and we evaluate the accuracy and the interobserver reproducibility of such prediction. Hematoxylin and eosin-stained sections from 50 PTCs comprising of 26 mutation-positive and 24 mutation-negative tumors were examined. BRAF (V600E) mutation was predicted correctly in 42/50 tumors (accuracy, 84 %) with 96 % sensitivity, 71 % specificity, and 78 % positive and 94 % negative predictive values (NPV). Subtle nuclear features of PTC (n = 10) had the highest (100 %) negative predictive value followed by well-circumscribed non-infiltrative tumor borders (17/22 mutation-negative tumors, 95 % NPV). The positive predictive value of infiltrative tumor borders (21/28 [75 %] mutation-positive), desmoplasia/fibrosis (23/31 [74 %] mutation-positive), and psammoma bodies (13/20 [65 %] mutation-positive) increased to 100 % when all three features were present (n = 8/8 mutation-positive). To assess interobserver reproducibility, two pathologists blinded to the mutational status evaluated 30 PTCs (15 mutation-positive and 15 mutation-negative) after self-training on 10 PTCs with known BRAF (V600E) mutational status (five mutation-positive and five mutation-negative). The prediction of the mutation was achieved with substantial agreement (κ value, 0.79) and accuracy (25/30, 83 %). This study demonstrates that BRAF (V600E) mutation in papillary thyroid carcinoma can be predicted on morphology with accuracy and with substantial interobserver agreement.
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