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MRI-Based Texture Analysis for Preoperative Prediction of BRAF V600E Mutation in Papillary Thyroid Carcinoma - PubMed
Source: pubmed.ncbi.nlm.nih.gov
Article summary:
1. This study aimed to investigate the relationship between texture analysis features based on magnetic resonance imaging (MRI) and BRAF V600E mutation in papillary thyroid carcinoma (PTC).
2. A total of 80 PTCs were included in the study, with 22 BRAF V600E wild-type and 58 BRAF V600E mutant.
3. The area under the ROC curves (AUCs) for the T2WI model, CE-T1WI model, and combined model were 0.83, 0.83, and 0.88 respectively.
Article analysis:
This article is a retrospective analysis of patients with postoperative pathology confirmed papillary thyroid carcinoma from 2017 to 2021 that aimed to investigate the relationship between texture analysis features based on magnetic resonance imaging (MRI) and mutations. The authors used univariate, minimum redundancy maximum relevance (mRMR), and multivariate analyses for feature selection to construct 3 models (T2WI, CE-T1WI, and combined model) to predict mutation. The results showed good interobserver agreement on texture features selected with all ICCs >0.75; AUCs for the T2WI model, CE-T1WI model, and combined model were 0.83 (95% CI: 0.75-0.91), 0.83 (95% CI: 0.73-0.90), and 0.88 (95% CI: 0.81-0