{
  "abstract": "目的: 肺腺癌(lung adenocarcinoma，LUAD)患者分子靶向治疗的关键在于确定其表皮生长因子受体(epidermal growth factor receptor，EGFR)基因的突变状态，目前临床上常用手术、穿刺活检等有创方法获得基因检测所需的肿瘤组织。本研究旨在探索CT灌注成像(CT perfusion imaging，CTPI)的多种定量参数与LUAD患者EGFR基因突变之间的潜在关联，为无创预测LUAD患者的EGFR基因突变状态提供初步提示。\n\n方法: 收集在中南大学湘雅三医院经手术或穿刺活检病理确诊为LUAD的患者，患者均在术前1周内行肺部CTPI检查，并在术后完善了EGFR基因检测。按EGFR基因检测结果将患者分为突变组和野生型组。统计并分析2组CTPI相关定量参数之间的差异，采用Logistic回归分析EGFR突变的独立预测因素并构建联合预测模型，以受试者操作特征(receiver operating characteristic，ROC)曲线及曲线下面积(area under the curve，AUC)评价各独立预测因素及联合模型的预测效能。\n\n结果: 最终纳入82例患者，其中女性45例，男性37例；EGFR基因突变组46例，野生型组36例。突变组的血容量(blood volume，BV)、达峰时间(time to peak，TTP)和毛细血管表面通透性(permeability surface，PS)均高于野生型组(分别为5.38±1.57 vs 3.08±1.17，P<0.001；28.02±5.07 vs 24.47±7.14，P=0.014；18.90±7.24 vs 12.11±6.11，P<0.001)，而2组间血流量(blood flow，BF)、平均通过时间(mean transit time，MTT)、组织残余函数达峰时间(time to maximum of tissue residue function，Tmax)、正增强积分(positive enhancement integral，PEI)和平均增长斜率(mean slope of increase，MSI)的差异均无统计学意义(均P>0.05)。BV(P<0.001)和PS(P=0.002)为EGFR突变的独立预测因素。ROC曲线显示，BV和PS的AUC分别为0.885和0.760，相应的截断值分别为3.81 mL/100 g和16.20 mL/(min·100 g)。CTPI参数(BV+PS)联合预测模型的AUC为0.923，高于任意单一参数(均P<0.05)。\n\n结论: CTPI的定量参数BV和PS为LUAD患者EGFR突变的独立预测因素。CTPI参数BV和PS的联合模型(BV+PS)在本组数据中表现出良好的预测潜力，但尚需大样本多中心研究进一步验证。",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "name": "灿 陈",
      "orcid": "0000-0002-6562-6659"
    },
    {
      "name": "晓 刘"
    },
    {
      "name": "倩仪 谢"
    },
    {
      "name": "雄健 张"
    },
    {
      "name": "吕娜 李安"
    },
    {
      "name": "睿 郭"
    },
    {
      "name": "琪 梁"
    },
    {
      "name": "伟 李",
      "orcid": "0000-0002-7267-6494"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3haxw88ycgv18.bib",
  "cited_by": 0,
  "doi": "10.11817/j.issn.1672-7347.2026.250665",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13710880/",
  "id": "3haxw88ycgv18",
  "issns": [
    "1672-7347"
  ],
  "landing_url": "https://doi.org/10.11817/j.issn.1672-7347.2026.250665",
  "language": "zh",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Articles"
    ],
    [
      "openalex",
      "2740|Lung Cancer Diagnosis and Treatment"
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  "openalex": "W7224004766",
  "pdf_url": null,
  "pmcid": "PMC13710880",
  "pmid": "42935205",
  "published": "2026-08-28",
  "publisher": "Central South University",
  "ris": "https://research.draconitic.com/paper/3haxw88ycgv18.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T12:21:45Z",
      "native_id": "PMC13710880",
      "source": "pmc",
      "url": "https://doi.org/10.11817/j.issn.1672-7347.2026.250665"
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  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2740|Lung Cancer Diagnosis and Treatment",
      "subfield": "general"
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  "title": "多参数CT灌注成像无创预测肺腺癌EGFR基因突变",
  "title_text": "多参数CT灌注成像无创预测肺腺癌EGFR基因突变",
  "type": "peer-reviewed",
  "updated_at": "2026-10-31T12:21:45Z",
  "url": "https://research.draconitic.com/paper/3haxw88ycgv18",
  "venue": "Journal of Central South University Medical Sciences",
  "versions": []
}