医学临床研究
  2025年7月8日 星期二           首 页    |    期刊简介    |    编委会    |    投稿指南    |    期刊订阅    |    广告合作    |    留言板    |    联系我们    |    English
医学临床研究  2025, Vol. 42 Issue (5): 802-804    DOI: 10.3969/j.issn.1671-7171.2025.05.019
  论著 本期目录 | 过刊浏览 | 高级检索 |
多层螺旋CT图像纹理特征对肺部小结节的诊断价值
李超
兰考县中心医院,河南 兰考 475399
Diagnostic Value of Multi-Slice Spiral CT Image Texture Feature Analysis for Pulmonary Nodules
LI Chao
Lankao County Central Hospital,Lankao Henan 475399
全文: PDF (1654 KB)   HTML (1 KB) 
输出: BibTeX | EndNote (RIS)      
摘要 【目的】探讨多层螺旋CT图像纹理特征对肺部小结节的诊断价值。【方法】回顾性分析2018年1月至2023年3月本院收治的83例肺部小结节患者,根据病理诊断结果分为良性组(n=20,肺部小结节良性)和恶性组(n=63,肺部小结节恶性)。所有患者均接受多层螺旋CT检查,比较两组患者多层螺旋CT图像特征,采用Logistic回归模型分析影响因素,绘制受试者工作特征(ROC)曲线分析纹理特征对肺小结节的鉴别诊断价值。【结果】恶性组多层螺旋CT图像纹理均值高于良性组,偏度低于良性组,差异有统计学意义(P<0.05);两组峰度、不均匀度比较,差异无统计学意义(P>0.05)。Logistic回归分析结果显示,多层螺旋CT图像纹理均值、偏度均为鉴别肺部恶性小结节的影响因素(P<0.05)。ROC曲线结果显示,驱动影响因素的截断值为15.34,灵敏度为88.89%,特异度为75.00%,曲线下面积为0.798(95%CI:0.697~0.878)(P<0.05),约登指数为0.639。【结论】临床医师可根据多层螺旋CT图像纹理中的均值、偏度建立驱动影响因素模型,该方法在诊断恶性肺小结节中的临床价值较高。
服务
把本文推荐给朋友
加入我的书架
加入引用管理器
E-mail Alert
RSS
作者相关文章
李超
关键词 结节病,肺体层摄影术,螺旋计算机图像处理,计算机辅助诊断    
Abstract:【Objective】To analyze the diagnostic value of multi-slice spiral CT image texture in pulmonary nodules. 【Methods】A total of 83 patients with pulmonary nodules admitted to our hospital from January 2018 to March 2023 were retrospectively analyzed and divided into the benign group (n=20, benign pulmonary nodules) and the malignant group (n=63, malignant pulmonary nodules) according to pathological diagnosis results. All patients were examined by multi-slice spiral CT. The image features of the two groups were compared, and the influencing factors of the occurrence of malignant pulmonary nodules were analyzed by Logistic regression model. The receiver operating characteristic (ROC) curve was drawn to analyze the value of texture features in the differential diagnosis of pulmonary nodules. 【Results】The mean value of multi-slice spiral CT image textures in the malignant group was higher than that in the benign group (P<0.05), and the skewness of the malignant group was lower than that of the benign group (P<0.05). There was no statistical significance in kurtosis and inhomogeneity between the two groups (P>0.05). Logistic regression analysis showed that both mean value and skewness were influencing factors for distinguishing the occurrence of malignant pulmonary nodules (P<0.05).The ROC curve results showed that the cutoff of the driving influencing factor was 15.34, the sensitivity was 88.89%, the specificity was 75.00%, the area under the curve was 0.798 (95%CI: 0.697-0.878) (P<0.05), and the Youden index was 0.639.【Conclusion】It is valuable to establish a driving factor model based on mean value and skewness in the texture of multi-slice spiral CT images. This method has high clinical value in the diagnosis of malignant pulmonary nodules.
Key wordsSarcoidosis, Pulmonary    Tomography, Spiral Computed    Image Processing, Computer-Assisted    Diagnosis
收稿日期: 2024-06-04     
中图分类号:  R563  
引用本文:   
李超. 多层螺旋CT图像纹理特征对肺部小结节的诊断价值[J]. 医学临床研究, 2025, 42(5): 802-804.
LI Chao. Diagnostic Value of Multi-Slice Spiral CT Image Texture Feature Analysis for Pulmonary Nodules. JOURNAL OF CLINICAL RESEARCH, 2025, 42(5): 802-804.
链接本文:  
http://journal07.magtech.org.cn/yxlcyj/CN/10.3969/j.issn.1671-7171.2025.05.019     或     http://journal07.magtech.org.cn/yxlcyj/CN/Y2025/V42/I5/802
版权所有 © 2013 医学临床研究杂志社  湘ICP备13012052号-1
办公地址:湖南省长沙市芙蓉区新军路43号煤炭大院主办公楼6楼621、623、632、636室 邮编:410011 电话(传真):0731-84824007 E-mail:jcr_cs.hn@vip.163.com
技术支持:北京玛格泰克科技发展有限公司 技术支持:support@magtech.com.cn