| CT鉴别肺浸润性腺癌与肺微浸润腺癌的价值 |
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| 引用本文： | 随义, 严鹏程, 夏章美. CT鉴别肺浸润性腺癌与肺微浸润腺癌的价值[J]. 分子影像学杂志, 2023, 46(2): 352-356. doi: 10.12122/j.issn.1674-4500.2023.02.31 |
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| 作者姓名： | 随义 严鹏程 夏章美 |
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| 作者单位： | 衡水市第四人民医院CT室，河北 衡水 053000 |
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| 摘 要： | 目的 探究CT鉴别肺浸润性腺癌（IAC）与肺微浸润性腺癌（MIA)的价值。方法 选取2020年1月~2021年12月在我院接受手术治疗的肺磨玻璃结节患者共120例作为研究对象。将经活检穿刺或术后病理诊断为IAC的75例患者作为IAC组，45例MIA患者作为MIA组。对比两组CT影像学资料，采用ROC曲线评估CT鉴别IAC与MIA价值。结果 IAC组与MIA组结节部位、边缘清晰/模糊、胸膜凹陷征及病灶CT密度值的差异无统计学意义（P>0.05）；IAC组结节最大直径及最大密度区域CT值高于MIA组（P < 0.05），且IAC组结节形态不规则、分叶征、毛刺征、血管集束征占比高于MIA组（P < 0.05）。Logistic多因素回归分析结果显示，结节最大直径、分叶征、毛刺征、血管集束征、最大密度区域CT值是导致病理结果性质出现差异的相关危险因素（P < 0.05）。ROC曲线显示，结节最大直径约登指数（0.636）最大时对应截断值为1.31 cm，曲线下面积（AUC）为0.846，鉴别IAC与MIA的敏感度、特异性分别为75.56%、88.00%；分叶征鉴别IAC与MIA的AUC为0.713，敏感度、特异性分别为66.67%、76.00%；毛刺征鉴别IAC与MIA的AUC为0.731，敏感度、特异性分别为68.89%、77.33%；血管集束征鉴别IAC与MIA的AUC为0.744，敏感度、特异性分别为75.56%、73.33%；最大密度区域CT值约登指数（0.542）最大时对应截断值为-531.75 Hu，鉴别IAC与MIA的AUC为0.801，敏感度、特异性分别为68.89%、85.33%。结论 CT技术在鉴别IAC与MIA中具有较高的指导作用，结节直径、最大密度区域CT值、分叶征、毛刺征、血管集束征对于IAC与MIA的临床鉴别具有重要价值。
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| 关 键 词： | 电子计算机断层扫描 鉴别 肺浸润性腺癌 肺微浸润性腺癌 价值 |
| 收稿时间： | 2022-09-01 |
Value of CT in the differential diagnosis of lung invasive adenocarcinoma and minimally invasive adenocarcinoma |
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| SUI Yi, YAN Pengcheng, XIA Zhangmei. Value of CT in the differential diagnosis of lung invasive adenocarcinoma and minimally invasive adenocarcinoma[J]. Journal of Molecular Imaging, 2023, 46(2): 352-356. doi: 10.12122/j.issn.1674-4500.2023.02.31 |
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| Authors: | SUI Yi YAN Pengcheng XIA Zhangmei |
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| Affiliation: | CT Room, The No.4 People's Hospital of Hengshui, Hengshui 053000, China |
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| Abstract: | Objective To explore the value of CT in the differential diagnosis of lung invasive adenocarcinoma (IAC) and minimally invasive adenocarcinoma (MIA). Methods A total of 120 patients with lung ground glass nodules who underwent surgical treatment in our hospital from January 2020 to December 2021 were selected. Among the patients, 75 cases with IAC diagnosed by biopsy or postoperative pathology were enrolled as IAC group, and 45 cases with MIA were included in MIA group. The CT imaging data of the two groups were compared, and ROC curve was used to evaluate the value of CT in differentiating IAC from MIA. Results There were no statistical differences in nodule location, clear/fuzzy edge, pleural indentation sign and lesion CT density between IAC group and MIA group (P>0.05). However, the maximum nodule diameter and CT value at the maximum density area in IAC group were higher than those in MIA group (P < 0.05), and the proportions of irregular nodule morphology, lobulation sign, spiculation sign and vascular convergence sign were also higher in IAC group than those in MIA group (P < 0.05). The maximum nodule diameter, lobulation sign, spiculation sign, vascular convergence sign and CT value at the maximum density area were the related risk factors leading to the differences in pathological results (P < 0.05). ROC results showed that when the Youden index of the maximum nodule diameter was the maximum (0.636), the corresponding cut-off value, AUC, sensitivity and specificity in differentiating IAC from MIA were 1.31 cm, 0.846, 75.56% and 88.00%, respectively. The AUC, sensitivity and specificity in differentiating IAC from MIA were 0.713, 66.67% and 76.00% of lobulation sign, were 0.731, 68.89% and 77.33% of spiculation sign, and were 0.744, 75.56% and 73.33% of vascular convergence sign respectively. When the Youden index of CT value at the maximum density area was the maximum at 0.542, the corresponding cut-off value was -531.75 Hu, and the AUC, sensitivity and specificity in the differential diagnosis of IAC and MIA were 0.801, 68.89% and 85.33%, respectively. Conclusion CT technology has a high guiding role in the differential diagnosis of IAC and MIA. Nodule diameter, CT value at the maximum density area, lobulation sign, spiculation sign and vascular convergence sign are of great value for the clinical differentiation of IAC and MIA. |
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| Keywords: | computed tomography differentiating lung invasive adenocarcinoma minimally invasive adenocarcinoma value |
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