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中华养生保健 ›› 2025, Vol. 43 ›› Issue (5): 55-59.

• 临床研究 • 上一篇    下一篇

高分辨率CT联合纹理分析在肺癌诊断中的应用

徐云龙   

  1. 赤峰市肿瘤医院核磁室,内蒙古 赤峰,024000
  • 出版日期:2025-03-01 发布日期:2025-03-17
  • 作者简介:徐云龙(1989—),男,蒙古族,籍贯:内蒙古自治区赤峰市,本科,主治医生,研究方向:CT、核磁诊断等。

Application of High-Resolution CT Combined with Texture Analysis in the Diagnosis of Lung Cancer

XU Yun-long   

  1. Nuclear Magnetic Laboratory, Chifeng Cancer Hospital, Chifeng Inner Mongolia 024200, China
  • Online:2025-03-01 Published:2025-03-17

摘要: 目的 探讨高分辨率电子计算机断层扫描(CT)联合纹理分析用于诊断肺癌的临床价值。方法 前瞻性选取2021年1月—2023年12月于赤峰市肿瘤医院就诊的100例疑似肺癌患者作为本次研究对象,患者均接受高分辨率CT联合纹理分析检查,并接受组织病理学活检,以组织病理学活检结果作为金标准,比较高分辨率CT单独及联合纹理分析对肺癌的诊断价值。结果 100例高度疑似肺癌患者经组织病理学检查确诊63例肺癌,占63.00%(63/100)。以组织病理学检查为金标准,高分辨率CT对肺癌的检出率为74.60%(47/63),高分辨率CT联合纹理分析对肺癌的检出率为92.06%(58/63)。高分辨率CT联合纹理分析诊断肺癌的敏感度、准确率、阴性预测值均高于高分辨率CT单独检查,差异有统计学意义(P<0.05),联合检查诊断肺癌与金标准的一致性最高,Kappa值为0.785。结论 高分辨率CT联合纹理分析对肺癌的诊断准确率高于高分辨率CT单独检查,且与金标准的一致性更好,更具应用价值。

关键词: 肺癌, 高分辨率CT, 纹理分析, 诊断

Abstract: Objective To explore the clinical value of high-resolution computed tomography (Computed Tomography, CT) combined with texture analysis in the diagnosis of lung cancer. Methods A prospective study was conducted on 100 suspected lung cancer patients who visited hospitals from Chifeng City Cancer Hospital in January 2021 to December 2023. All patients underwent high-resolution CT combined with texture analysis and histopathological biopsy. The histopathological biopsy results were used as the gold standard to compare the diagnostic value of high-resolution CT alone and in combination with texture analysis for lung cancer. Results 63 out of 100 highly suspected lung cancer patients were confirmed to have lung cancer through histopathological examination, accounting for 63.00% (63/100). Histopathological examination was used as the gold standard, the detection rate of lung cancer using high-resolution CT was 74.60% (47/63), and the detection rate of lung cancer using high-resolution CT combined with texture analysis was 92.06% (58/63). The sensitivity, accuracy, and negative predictive value of high-resolution CT combined with texture segmentation in diagnosing lung cancer were higher than those of high-resolution CT alone, with statistical significant differences (P<0.05). The consistency between the combined examination and the gold standard for diagnosing lung cancer was the highest, with a Kappa value of 0.785. Conclusion The accuracy of high-resolution CT combined with texture analysis for lung cancer is higher than that of high-resolution CT alone, and it has better consistency with the gold standard, making it more valuable for application.

Key words: lung cancer, high-resolution CT, texture analysis, diagnosis

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