河北医科大学学报

• 论著 • 上一篇    下一篇

全病变ADC直方图在肺部良恶性病变鉴别诊断中的价值初探

  

  1. 河北省胸科医院放射科,河北 石家庄 050041
  • 出版日期:2018-12-25 发布日期:2018-11-30
  • 作者简介:张莹(1981-),男,河北石家庄人,河北省胸科医院主治医师,医学硕士,从事医学影像诊断研究。
  • 基金资助:
    河北省医学科学研究重点课题(20170427)

Wholelesion ADC value histogram in the differentiation of malignant and benign lung lesions#br#

  1. Department of Radiology, Hebei Chest Hospital, Shijiazuang 050041, China
  • Online:2018-12-25 Published:2018-11-30

摘要: [摘要]〓
〖HTH〗目的〖HTSS〗〖KG*2〗探讨磁共振扫描中全病变表观弥散系数(apparent diffusion coefficient,ADC)直方图在肺部良恶性病变鉴别中的价值,并筛选出最佳诊断参数值。
〖HTH〗方法〖HTSS〗〖KG*2〗 收集经肺部活检穿刺或手术后病理证实的肺癌22例、肺部良性病变(主要为肺炎、结核)17例,所有患者均在治疗前接受肺部弥散加权成像(diffusion weighted imaging,DWI)检查,包括6个b值(b=0,50,150,400,600,800 s/mm2)测量全病变ADC直方图参数,以及ADC偏度、峰度、熵、平均数、中位数、标准差、病变体积和ADC第5,10,15,30,50,70,90百分位数(ADC5th、ADC10th、ADC15th、ADC30th、ADC50th、ADC70th、ADC90th),并分析2组直方图参数有无差异。
〖HTH〗结果〖HTSS〗〖KG*2〗 肺癌组ADC直方图参数偏度、峰度、平均数、标准差、ADC50th、ADC70th、ADC90th均低于肺部良性病变组,差异有统计学意义(P<005);用ADC直方图参数绘制受试者工作特征(receiver operator characteristic,ROC)曲线,计算曲线下面积(area under curve,AUC)。ADC标准差的诊断效能最高,当ADC标准差为0.810(×10-3mm2/s)时,AUC为0.789,特异度为94.1%,敏感度为68.2%;其次为ADC90th, 当ADC90th为1.940(×10-3mm2/s)时,AUC为0.785,特异度为94.1%,敏感度为54.5%。
〖HTH〗结论〖HTSS〗〖KG*2〗全病变ADC直方图可用于鉴别肺部良恶性病变,ADC标准差诊断效能最高。

关键词: 肺肿瘤, 弥散磁共振成像, 曲线下面积

Abstract: [Abstract] Objective〖HTSS〗〓To explore the value of the wholelesion apparent diffusion coefficient(ADC) value histogram of DWI examination in the differentiation of malignant and benign lung lesions, and choose the best diagnostic parameters.
〖HTH〗〖WTHZ〗Methods〖HTSS〗〓The 22 lung cancer and 17 benign lung lesions (including pneumonia and tuberculosis), which received lung biopsy or surgical operation and had pathology results were collected. Before treatment, all patients received lung DWI examination with 6 b values: b=0, 50, 150, 400, 600, 800 s/mm2. The wholelesion ADC value histogram and related parameters was calculated, including skewness, kurtosis, entropy, ADC mean value, ADC median value, lesion volume, ADC value standard deviation, and the 5 th, 10 th, 15 th, 30 th, 50 th, 70 th ,90 th ADC value percentile. And the differences between the 2 groups were compared.
〖HTH〗〖WTHZ〗Results〖HTSS〗〓Lung cancer group parameters of ADC values histogram of skewness, kurtosis, mean, standard deviation, ADC50th, ADC70th, ADC90th were lower than lung benign lesions, the difference was statistically significant(P<005).  Receiver operator characteristic curve(ROC) was plotted with ADC histogram parameters to calculate area under curve(AUC). The diagnostic efficacy of the ADC standard deviation was the highest. When the ADC standard deviation was 0.810(×10-3mm2 /s), the AUC was 0.789, the specificity was 94.1%, and the sensitivity was 68.2%. When ADC90th is 1.940(×10-3mm2/s), AUC is 0.785, specificity is 94.1%, and sensitivity is 54.5%.
〖HTH〗〖WTHZ〗Conclusion〖HTSS〗〓The wholelesion apparent diffusion coefficient(ADC) value histogram can be used in the differentiation of malignant and benign lung lesions. Among the parameters, ADC value standard deviation have the best diagnostic performance.

Key words: lung neoplasms, diffusion weighted imaging, area under curve