李真真,徐高峰,符益纲,肖勇,朱明明,周笑,史讯,江建芹.B1场校正T1 mapping用于鉴别肺癌病理分型及分化程度[J].中国医学影像技术,2024,40(2):231~234
B1场校正T1 mapping用于鉴别肺癌病理分型及分化程度
B1 corrected T1 mapping for distinguishing pathological types and differentiation degrees of lung cancers
投稿时间:2023-08-07  修订日期:2023-11-13
DOI:10.13929/j.issn.1003-3289.2024.02.016
中文关键词:  肺肿瘤  病理学  磁共振成像  T1 mapping  前瞻性研究
英文关键词:lung neoplasms  pathology  magnetic resonance imaging  T1 mapping  prospective studies
基金项目:盐城市重点研发计划(YCBE202211)、徐州医科大学附属医院科技发展基金"优秀人才基金"项目(XYFY202304)。
作者单位E-mail
李真真 南通大学第六附属医院 盐城市第三人民医院核医学科, 江苏 盐城 224000  
徐高峰 盐城市第一人民医院影像科, 江苏 盐城 224000  
符益纲 盐城市第一人民医院影像科, 江苏 盐城 224000 1021809719@qq.com 
肖勇 盐城市第一人民医院影像科, 江苏 盐城 224000  
朱明明 盐城市第一人民医院影像科, 江苏 盐城 224000 liangchanghua12345@163.com 
周笑 盐城市第一人民医院影像科, 江苏 盐城 224000  
史讯 盐城市第一人民医院核医学科, 江苏 盐城 224000  
江建芹 盐城市第一人民医院影像科, 江苏 盐城 224000  
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中文摘要:
      目的 观察B1场校正T1 mapping用于鉴别肺癌病理分型及分化程度的价值。方法 前瞻性纳入65例肺癌患者共74处病灶,包括低分化49处、中高分化25处,其中腺癌42处、鳞癌14处、小细胞肺癌(均为低分化)18处。采集B1场校正T1 mapping图像;以2种方法勾画ROI(ROI1、ROI2),观察不同病理分型及不同分化程度肺癌T1值的差异;绘制受试者工作特征(ROC)曲线,计算曲线下面积(AUC),评估B1场校正T1 mapping鉴别肺癌病理分型及分化程度的价值。结果 不同病理分型肺癌T1值差异均有统计学意义(P均<0.05);小细胞肺癌与其他2种类型肺癌T1值差异均有统计学意义(P均<0.05)。低与中高分化肺癌(鳞癌+腺癌)T1值差异有统计学意义(P均<0.05)。以ROI1 T1值=1 524.21 ms为截断值,其鉴别低与中高分化肺癌(鳞癌+腺癌)的AUC为0.698,敏感度为64.50%,特异度为76.00%;而以ROI2 T1值=1 630.68 ms为截断值,其AUC为0.676,敏感度为54.80%,特异度为80.00%。结论 B1场校正T1 mapping有助于鉴别肺癌病理分型及分化程度。
英文摘要:
      Objective To observe the value of B1 corrected T1 mapping for distinguishing pathological types and differentiation degrees of lung cancers. Methods A total of 74 lesions in 65 patients with lung cancers were prospectively enrolled, including 49 poorly differentiated lesions and 25 moderately or well differentiated ones, i.e. 42 adenocarcinomas, 14 squamous cell carcinomas and 18 small cell lung cancers (all poorly differentiated). B1 corrected T1 mapping was performed, ROI (ROI1 and ROI2) were delineated using 2 methods, and T1 values of different pathological types and differentiation degrees lung cancers were compared. The receiver operating characteristic (ROC) curves were drawn, and the areas under the curve (AUC) were calculated. Results Significant differences of T1 values were found among different pathological types of lung cancer (all P<0.05), as well as between small cell lung cancer and the rest 2 types of lung cancer (both P<0.05). There were significant differences of T1 values between poorly differentiated and moderately well differentiated lung cancer (squamous cell carcinoma+adenocarcinoma) (both P<0.05). Taken ROI1 T1 value=1 524.21 ms as the cut-off value, the AUC of T1 value for distinguishing poorly differentiated and moderately well differentiated lung cancer (squamous cell carcinoma+adenocarcinoma) was 0.698, with sensitivity of 64.50% and specificity of 76.00%. Taken ROI2 T1 value=1 630.68 ms as the cut-off value, the AUC of T1 value was 0.676, with sensitivity of 54.80% and specificity of 80.00%. Conclusion B1 corrected T1 mapping was helpful for distinguishing pathological types and differentiation degrees of lung cancers.
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