期刊论文

Zhang, K.

中文

中国介入影像与治疗学

1672-8475

2021

18

02

105-108

10.13929/j.issn.1672-8475.2021.02.010

81603482:国家自然科学基金 2017M622586:中国博士后科学基金面上项目 2016JJ6115:湖南省自然科学基金 4901-020000200806:湖南中医药大学重点学科建设项目

本校为第一机构

目的 观察基于CT平扫影像组学模型鉴别直径≤2 cm甲状腺良恶性结节的价值.方法 回顾性分析97例经手术病理证实直径≤2 cm甲状腺结节患者,按7∶3比例将其随机分为训练组(n=67)及验证组(n=30).提取训练组病灶的影像组学特征并进行预处理,采用最小绝对收缩和选择算子(LASSO)方法筛选最优影像组学特征;以二元Logistic回归方法建立鉴别甲状腺结节良恶性的影像组学模型,计算训练组中良恶性结节的影像组学评分,于验证组中进行验证.以ROC曲线法评估影像组学模型在训练组及验证组中的诊断效能.结果 训练组25例良性病变和42例恶性病变;验证组10例良性、20例恶性病变.共于训练组病灶中提取848个影像组学特征...

Objective: To investigate the value of radiomics model based on plain CT for differentiating benign and malignant thyroid nodules with diameter ≤2 cm. Methods: CT and clinical data of 97 patients with thyroid nodules diameter ≤2 cm confirmed by surgical pathology were retrospectively analyzed. The patients were randomly divided into training group (n=67) and validation group (n=30) according to the ratio of 7: 3. The radiomics features of every lesion were extracted and preprocessed in training group, then the optimal radiomics features were ...