Wen Jiahao, Liu Haizhou, Lin Yanyan, Liang Zixuan, Wei Lili, Zeng Qi, Wei Shanshan, Zhang Litu, Yang Weiping
Department of Ultrasound, Guangxi Medical University Cancer Hospital, Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Department of Research, Guangxi Medical University Cancer Hospital, Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
Heliyon. 2024 Apr 25;10(9):e29955. doi: 10.1016/j.heliyon.2024.e29955. eCollection 2024 May 15.
The study investigates the value of the BRAF mutation in determining the aggressiveness of papillary thyroid cancer (PTC) and its correlation with ultrasound features.
The study selected 176 patients with BRAF mutation and 80 without the mutation who underwent surgery at Guangxi Medical University Cancer Hospital. Clinical and pathological data were collected, focusing on BRAF mutations and associated ultrasonic features. Correlation analysis, as well as univariate and multivariate logistic regression analysis, were conducted to identify independent risk factors for BRAF mutation. The results were verified using a nomogram model.
The analysis results indicate that the BRAF mutation correlates with tumor size, nodule size, taller-than-wide shape, margin, and shape of papillary thyroid cancer. The receiver operating characteristic curve was used to analyze the diagnostic effect of these features on BRAF mutation. The results showed that nodule size had the most significant area under the curve (AUC = 0.665). Univariate and multivariate logistic regression analyses revealed that taller-than-wide shape ≥1, ill-defined margin, irregular shape, nodule size (≤1.40 cm), TT4 (>98.67 nmol/L), and FT3 (<4.14 pmol/L) were independent risk factors for BRAF mutation. While considering all these factors in the nomogram, the Concordance index (C-index) remained high at 0.764. This suggests that the model has a good predictive effect.
Ultrasound features including nodule size, taller-than-wide shape ≥1, ill-defined margins, irregular shape, higher TT4 levels, and lower FT3 levels were associated with papillary thyroid cancer aggressiveness and BRAF mutation.
本研究探讨BRAF突变在确定甲状腺乳头状癌(PTC)侵袭性方面的价值及其与超声特征的相关性。
本研究选取了176例发生BRAF突变的患者和80例未发生该突变的患者,这些患者均在广西医科大学附属肿瘤医院接受了手术。收集临床和病理数据,重点关注BRAF突变及相关超声特征。进行相关性分析以及单因素和多因素逻辑回归分析,以确定BRAF突变的独立危险因素。使用列线图模型对结果进行验证。
分析结果表明,BRAF突变与甲状腺乳头状癌的肿瘤大小、结节大小、纵横比、边界及形态相关。采用受试者工作特征曲线分析这些特征对BRAF突变的诊断效果。结果显示,结节大小的曲线下面积(AUC)最为显著(AUC = 0.665)。单因素和多因素逻辑回归分析显示,纵横比≥1、边界不清、形态不规则、结节大小(≤1.40 cm)、总甲状腺素(TT4)(>98.67 nmol/L)及游离三碘甲状腺原氨酸(FT3)(<4.14 pmol/L)是BRAF突变的独立危险因素。在列线图中综合考虑所有这些因素时,一致性指数(C指数)仍高达0.764。这表明该模型具有良好的预测效果。
包括结节大小、纵横比≥1、边界不清、形态不规则、TT4水平较高及FT3水平较低在内的超声特征与甲状腺乳头状癌的侵袭性及BRAF突变相关。