胸部CT影像征象预测部分实性结节肺腺癌脏层胸膜侵犯的多因素分析

Multivariate analysis of chest CT features for predicting visceral pleural invasion in lung adenocarcinoma appearing as part-solid nodules

  • 摘要:
    目的  探讨胸部CT征象在部分实性结节(PSN)肺腺癌发生脏层胸膜侵犯(VPI)中的临床预测价值。
    方法  回顾性分析2016年5月至2022年7月于江门市中心医院行手术切除的206例PSN肺腺癌患者男性81例、女性125例,年龄(59.5±10.9)岁的临床资料和影像资料,根据组织病理学检查结果分为VPI阳性组和阴性组。阅读患者的CT征象,包括结节位置、边界、形态、径线总径线、实性成分径线、实性成分比例(CTR)、分叶征、毛刺征、空泡征、空气支气管征、肺气肿征、结节胸膜关系(NPR)、实性成分与胸膜关系、结节中心与胸膜的距离等。将患者按NPR分为4种亚型。采用单因素分析方法分析VPI阳性组和阴性组的临床资料和CT征象之间的差异,采用多因素Logistic回归分析建立预测模型,并采用受试者工作特征(ROC)曲线计算曲线下面积(AUC)。组间比较采用两独立样本t检验、Mann-Whitney U秩和检验、χ2检验或Fisher确切概率法。
    结果  206例患者中,VPI阳性组47例、阴性组159例。2组的性别和年龄的差异均无统计学意义(χ2=0.267,P=0.606;t=1.284,P=0.201)。2组患者结节的位置、总径线、边界、形态、分叶征、毛刺征、空泡征、空气支气管征、肺气肿征之间的差异均无统计学意义(χ2=0.003~3.530,Z=−0.577,Fisher确切概率法,均P>0.05)。VPI阳性组的实性成分径线9.00(7.00,12.00) mm对8.00(5.00,11.00) mm和CTR(0.56±0.16对0.49±0.14)高于阴性组,且差异均有统计学意义(Z=−2.079,P=0.038;t=−2.672,P=0.008)。206例患者中,不同NPR亚型发生VPI的比例分别为Ⅰ型7.32%(6/82)、Ⅱ型10.34%(6/58)、Ⅲ型47.22%(17/36)和Ⅳ型60.00%(18/30)。VPI阳性组与阴性组的NPR亚型的差异有统计学意义(χ2=52.040,P<0.001)。多因素Logistic回归分析结果显示,CTR(OR=38.159,95%CI:2.487~585.467,P=0.009)、NPR亚型(OR=3.110,95%CI:2.148~4.502,P<0.001)是预测PSN肺腺癌VPI状态的独立危险因素。CTR、NPR亚型以及二者联合的预测模型的AUC和准确率分别为0.610、77.1%,0.794、79.1%和0.822、71.4%。
    结论  胸部CT征象有助于PSN肺腺癌VPI的术前评估,CTR和NPR亚型是预测VPI状态的独立危险因素。

     

    Abstract:
    Objective  To investigate the clinical predictive value of chest CT features in the occurrence of visceral pleural invasion (VPI) in lung adenocarcinoma appearing as part-solid nodules (PSN).
    Methods A retrospective analysis was performed on the clinical and imaging data of 206 patients with PSN lung adenocarcinoma who underwent surgical resection in Jiangmen Central Hospital from May 2016 to July 2022 (81 males and 125 females, age 59.5±10.9 years). The patients were divided into VPI positive and negative groups according to histopathological examination results. Chest CT features of the patients were reviewed, including the nodule location, boundary, morphology, diameter (total diameter, consolidation diameter, consolidation-to-tumor ratio (CTR)), lobulation sign, burr sign, vacuolar sign, air bronchial sign, emphysema sign, nodule and pleura relationship (NPR), consolidation and pleura relationship, distance between nodule center and pleura. The patients were further divided into four subtypes according to NPR. Univariate analysis was used to examine the differences in clinical data and CT features between the VPI positive and negative groups. Multivariate Logistic regression analysis was applied to establish the prediction model, and the receiver operating characteristic (ROC) curve was employed to calculate the area under the curve (AUC). Comparisons between groups were made using two independent samples t-test, Mann-Whitney U rank-sum test, chi-square test, or Fisher exact probability method.
    Results Among the 206 patients, 47 were in the VPI positive group and 159 were in the negative group. No significant differences in gender and age (χ2=0.267, P=0.606; t=1.284, P=0.201) and in the location, total diameter, boundary, morphology, lobulation sign, burr sign, vacuolar sign, air bronchial sign, and emphysema sign (χ2=0.003–3.530, Z=−0.577, Fisher exact probability method, all P>0.05) were found between the two groups. The consolidation diameter (9.00 (7.00, 12.00) mm vs. 8.00 (5.00, 11.00) mm) and CTR (0.56±0.16 vs. 0.49±0.14) in the VPI positive group were significantly higher than those in the negative group (Z=−2.079, P=0.038; t=−2.672, P=0.008). Among the 206 patients, the proportions of VPI in different NPR subtypes were 7.32% (6/82) of type Ⅰ, 10.34% (6/58) of type Ⅱ, 47.22% (17/36) of type Ⅲ, and 60.00% (18/30) of type Ⅳ. Statistically significant difference in NPR subtypes was observed between the VPI positive and negative groups (χ2=52.040, P<0.001). Multivariate Logistic regression analysis showed that CTR (OR=38.159, 95%CI: 2.487–585.467, P=0.009) and NPR subtype (OR=3.110, 95%CI: 2.148–4.502, P<0.001) were independent risk factors for predicting the VPI status of PSN lung adenocarcinoma. The AUC and accuracy of CTR, NPR subtype, and their combined prediction models were 0.610 and 77.1%, 0.794 and 79.1%, and 0.822 and 71.4%, respectively.
    Conclusions Chest CT features were helpful in the preoperative assessment of VPI status in PSN lung adenocarcinoma. CTR and NPR subtype were independent risk factors for predicting VPI status.

     

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