CT三维参数对小于2 cm肺磨玻璃结节浸润性的诊断效能

Diagnostic value of CT three-dimensional parameters on invasiveness of pulmonary ground-glass nodules smaller than 2 cm

  • 摘要:
      背景  低剂量CT筛查出的恶性肺磨玻璃结节(pulmonary ground-glass nodules,GGN)多数为Ⅰ期肺癌,术前准确预测GGN浸润性可有效指导肺叶切除或亚肺叶切除术的选择。
      目的  本文拟全面分析GGN的CT三维参数,研究评估小于2 cm GGN浸润性的最佳诊断指标及效能,为临床诊治提供参考。
      方法  回顾性收集2021年7月1日 - 12月31日于解放军总医院第一医学中心胸外科行手术治疗的165例<2 cm GGN患者的临床资料。根据浸润程度将非典型腺瘤样增生(atypical adenomatous hyperplasia, AAH)、原位腺癌(adenocarcinoma in situ,AIS)和微浸润性腺癌(minimally invasive adenocarcinoma,MIA)纳入低风险组,浸润性腺癌(invasive adenocarcinoma, IA)纳入高风险组。分别测量GGN及其实性成分的CT三维参数——直径、体积、平均CT值、密度和质量,并计算实性成分占GGN的直径比、体积比、质量比,分析两组之间的差异,筛选出预测浸润性的指标并评估其诊断价值。
      结果  纳入男45例,女120例,平均年龄(53.47 ± 10.86)岁。低风险组62例,高风险组103例,两组性别、年龄差异无统计学意义。低风险组与高风险组之间各项三维参数差异均有统计学意义(P均<0.05)。Logistic回归结果显示,实性体积越大(OR=1.017,95% CI:1.005 ~ 1.029,P=0.007),实性直径越长(OR=1.147,95% CI:1.062 ~ 1.238,P<0.01),浸润性腺癌发生风险就越高。ROC曲线分析显示,实性体积、实性直径两指标单独及联合诊断的曲线下面积(area under curve,AUC)(95% CI)分别为0.765(0.566 ~ 0.954)、0.731(0.500 ~ 0.946)、0.849(0.701 ~ 0.973)。
      结论  多元化的CT三维参数能够辅助预测小于2 cm GGN的浸润性,特别是实性体积和实性直径联合诊断效能更佳。是除传统的只测量直径、平均CT值的方法之外的又一新方法。

     

    Abstract:
      Background  Most of the malignant pulmonary ground-glass nodules (GGN) screened by low-dose CT are lung cancer of stage I, preoperative identification of invasive adenocarcinoma determines lobectomy or sublobectomy.
      Objective  To explore the best diagnostic parameters for assessment of the invasiveness of GGN smaller than 2 cm by comprehensively measuring its CT three-dimensional (3D) parameters, so as to provide evidences for clinic diagnosis.
      Methods  Clinical data about 165 patients who were diagnosed with GGN smaller than 2cm and treated by thoracic surgery in Thoracic Surgery Department of Chinese PLA General Hospital from July 1, 2021 to December 31, 2021 were retrospectively collected, including 45 males and 120 females, with mean age of 53.47 ± 10.86 years. According to the invasiveness, AAH (atypical adenomatous hyperplasia), AIS (adenocarcinoma in situ) and MIA (minimally invasive adenocarcinoma) were included in the low-risk group (n=62), while IA (invasive adenocarcinoma) was included in the high-risk group (n=103). 3D parameters of GGN and its solid components were measured respectively, including diameter, volume, average CT value, density, mass, as well as the ratio of diameter, volume and mass of the solid components to the GGN. The differences of 3D physical parameters between the two groups were analyzed and the risk factors for predicting invasiveness were screened out and their diagnostic efficiency was evaluated.
      Results  Totally 45 males and 120 females were included, with an average age of (53.47 ± 10.86) years. There were 62 cases in the low risk group and 103 cases in the high risk group. There was no significant difference in gender and age between the two groups. The differences of all 3D parameters between the low and high risk groups were all statistically significant (P<0.05). Multiple Logistic regression analysis indicated that patients with larger solid volume (OR=1.017, 95% CI: 1.005-1.029, P=0.007) and longer diameter (OR=1.147, 95% CI: 1.062-1.238, P<0.01) had higher risk of invasive adenocarcinoma. ROC (receiver operating characteristic curve) analysis indicated that the area under curve (AUC, 95% CI) of solid volume and solid diameter were 0.765 (0.566-0.954) and 0.731 (0.500-0.946), their AUC of combined diagnosis was 0.849 (0.701-0.973).
      Conclusion  Diversified CT 3D parameters can assist in the prediction of invasiveness of GGN, especially the combination of solid volume and solid diameter shows a better diagnostic efficiency. It is a new method in addition to the traditional method of measuring the diameter and the average CT value alone.

     

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