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体积测量法在非小细胞肺癌患者非手术治疗疗效评估中的应用价值

张玉文 王雪莲 顾长青 孙冬雪 张志雅 王伟 沈俊杰

张玉文, 王雪莲, 顾长青, 孙冬雪, 张志雅, 王伟, 沈俊杰. 体积测量法在非小细胞肺癌患者非手术治疗疗效评估中的应用价值[J]. 分子影像学杂志, 2023, 46(6): 1102-1106. doi: 10.12122/j.issn.1674-4500.2023.06.25
引用本文: 张玉文, 王雪莲, 顾长青, 孙冬雪, 张志雅, 王伟, 沈俊杰. 体积测量法在非小细胞肺癌患者非手术治疗疗效评估中的应用价值[J]. 分子影像学杂志, 2023, 46(6): 1102-1106. doi: 10.12122/j.issn.1674-4500.2023.06.25
ZHANG Yuwen, WANG Xuelian, GU Changqing, SUN Dongxue, ZHANG Zhiya, WANG Wei, SHEN Junjie. Application value of the volumetric method in assessing the effectiveness of nonoperative treatment for patients with non-small cell lung cancer[J]. Journal of Molecular Imaging, 2023, 46(6): 1102-1106. doi: 10.12122/j.issn.1674-4500.2023.06.25
Citation: ZHANG Yuwen, WANG Xuelian, GU Changqing, SUN Dongxue, ZHANG Zhiya, WANG Wei, SHEN Junjie. Application value of the volumetric method in assessing the effectiveness of nonoperative treatment for patients with non-small cell lung cancer[J]. Journal of Molecular Imaging, 2023, 46(6): 1102-1106. doi: 10.12122/j.issn.1674-4500.2023.06.25

体积测量法在非小细胞肺癌患者非手术治疗疗效评估中的应用价值

doi: 10.12122/j.issn.1674-4500.2023.06.25
详细信息
    作者简介:

    张玉文,住院医师,在读硕士研究生,E-mail: 303093169@qq.com

    通讯作者:

    沈俊杰,博士,主任医师,E-mail: 395932108@qq.com

Application value of the volumetric method in assessing the effectiveness of nonoperative treatment for patients with non-small cell lung cancer

  • 摘要:   目的  分析非手术治疗后,在评估晚期非小细胞肺癌患者时,肿瘤体积与肿瘤最大直径[基于实体肿瘤疗效评价标准(RECIST)1.1版]是否相互关联,并评估晚期非小细胞肺癌肿瘤体积变化在疗效评估中的应用价值。  方法  回顾性分析108例经穿刺活检病理证实为非小细胞肺癌患者的CT影像学资料并进行随访,使用体积测量软件对治疗前后病灶体积进行测量,记录体积测量值与病灶最大直径,分别通过体积方法与RECIST 1.1版对疗效进行评估,并根据不同标准,将完全缓解和部分缓解归为缓解组,将疾病稳定与疾病进展归为未缓解组。采用Spearman相关系数评估RECIST最大直径与体积治疗前后变化率之间的相关性,采用Kaplan-Meier曲线评估不同评价标准中患者生存率之间的相关性。  结果  通过基线扫描和第1次随访扫描,计算了体积与直径相对于基线测量的变化率,评估结果显示两者具有中度相关性(r=0.881,P < 0.01)。在第1次随访中通过体积标准评估缓解组与未缓解组的K-M生存曲线的差异有统计学意义(P=0.002),根据RECIST标准进行评估时,两组差异无统计学意义(P=0.828)。  结论  体积测量对非小细胞肺癌治疗后疗效评估具有较好的应用价值。

     

  • 图  1  直径与体积变化率散点图

    Figure  1.  Diameter and volumetric variability scatter chart.

    图  2  非小细胞肺癌患者治疗前后病灶大小变化图

    Figure  2.  Changes in lesion size before and after treatment in non-small cell lung cancer patients. A-B: Female, 74 years old, with a maximum diameter of 80 mm and volume of 292 613.00 mm3 before treatment (A) and 61 mm and volume of 70 553.70 mm3 after treatment (B). Volume criteria were assessed as partial response and RECIST criteria as stable disease. C-D: Female, 49 years old with a maximum diameter of 29 mm and volume of 12 737.00 mm3 before treatment (C) and 26 mm and volume of 7991.80 mm3 after treatment (D). Volume criteria were assessed as partial response and RECIST criteria as stable disease.

    图  3  体积分组(A)与直径分组(B)的患者生存曲线图

    Figure  3.  Patient survival curves in volume(A) and diameter(B) group.

    表  1  治疗反应评估标准的比较

    Table  1.   Comparison of criteria for evaluation of treatment response

    Criteria Complete response Partial response Progressive disease Stable disease
    RECIST1.1(2D) Disappearance of the lesions 30% decrease in diameter 20% increase in diameter Neither partial response nor progressive disease criteria met
    Volume(3D) Disappearance of the lesions 30% decrease in volume 20% increase in volume Neither partial response nor progressive disease criteria met
    RECIST: Response evaluation criteria in solid tumors.
    下载: 导出CSV

    表  2  患者基线特征

    Table  2.   Characteristics of the study patients

    Variables n(%)
    Age(years)
       <60 29(26.85)
       ≥60 79(73.15)
    Gender
       Male 76(70.37)
       Female 32(29.63)
    Histology
       Squamous cell carcinoma 50(46.30)
       Adenocarcinoma 53(49.07)
       Other NSCLC 5(5.63)
    Smoking
       Yes 69(63.89)
       No 39(36.11)
    Drinking
       Yes 34(31.48)
       No 74(68.52)
    Chronic diseases
       Yes 73(67.59)
       No 35(32.41)
    RECIST1.1
       Partial responder 27(25.00)
       Non-responder 81(75.00)
    Volume
       Partial responder 72(66.67)
       Non-responder 36(33.33)
    下载: 导出CSV

    表  3  RECIST1.1标准及体积标准疗效评估结果

    Table  3.   RECIST1.1 and Volume assessment results (n)

    RECIST1.1 Volume Total
    PR SD PD
    PR 27 0 0 27
    SD 45 21 8 74
    PD 0 0 7 7
    Total 72 21 15 108
    下载: 导出CSV

    表  4  患者基线特征的单因素及多因素COX回归分析

    Table  4.   Uni-and multivariable cox analysis of patient baseline characteristics

    Characteristic Univariable survival analysis Multivariable survival analysis
    HR(95% CI P HR(95% CI P
    Gender 1.88(1.13-3.15) 0.016 1.27(0.56-2.86) 0.570
    Age 1.82(1.06-3.10) 0.029 1.61(0.93-2.79) 0.086
    Smoking 1.87(1.15-3.03) 0.012 1.25(0.57-2.76) 0.582
    Histology 0.77(0.55-1.07) 0.120
    Drinking 1.06(0.66-1.69) 0.819
    Chronic diseases 0.99(0.62-1.56) 0.952
    RECIST1.1 0.95(0.57-1.57) 0.828
    Volume 0.48(0.30-0.76) 0.002 0.56(0.34-0.93) 0.024
    下载: 导出CSV
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  • 收稿日期:  2023-07-05
  • 网络出版日期:  2023-12-26
  • 刊出日期:  2023-11-20

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