{
  "abstract": "Background: EGFR genotyping is essential for EGFR-TKI therapy in non-small cell lung cancer (NSCLC), but invasive biopsy has limitations. Noninvasive preoperative stratification tools are urgently needed.\n\nMethods: We retrospectively enrolled 129 NSCLC patients to develop and internally validate a combined model integrating clinical features, conventional CT findings, and dual-layer spectral CT parameters for predicting classic EGFR-activating mutations. Performance was evaluated by ROC, DeLong test, DCA, and 1000-iteration bootstrap validation.\n\nResults: The combined model achieved an AUC of 0.805, significantly outperforming the clinical-conventional CT model (AUC = 0.642, P < 0.001). Venous-phase normalized iodine concentration (NIC) was the only independent predictor (OR = 2.578, P = 0.018). The model showed robust performance in the lung adenocarcinoma subgroup (AUC = 0.810) with negligible overfitting.\n\nConclusions: This noninvasive spectral CT model provides a reliable, easy-to-implement auxiliary tool for preoperative EGFR mutation stratification to optimize EGFR-TKI therapy decisions.\n\nSupplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s12890-026-04575-7.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, Fujian Province China"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Qianqian Zhan"
    },
    {
      "affs": [
        0
      ],
      "name": "Hui Lin"
    },
    {
      "affs": [
        0
      ],
      "name": "Dandan Lin"
    },
    {
      "affs": [
        0
      ],
      "name": "Xueyan Liao"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/f28mxt400sh3h.bib",
  "cited_by": 0,
  "doi": "10.1186/s12890-026-04575-7",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13741650/",
  "id": "f28mxt400sh3h",
  "issns": [
    "1471-2466"
  ],
  "landing_url": "https://doi.org/10.1186/s12890-026-04575-7",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Research"
    ],
    [
      "openalex",
      "2740|Lung Cancer Treatments and Mutations"
    ]
  ],
  "openalex": "W7202209495",
  "pdf_url": null,
  "pmcid": "PMC13741650",
  "pmid": "42989226",
  "published": "2026-08-11",
  "publisher": "BMC",
  "ris": "https://research.draconitic.com/paper/f28mxt400sh3h.ris",
  "sources": [
    {
      "first_seen": "2026-11-10T12:22:40Z",
      "native_id": "PMC13741650",
      "source": "pmc",
      "url": "https://doi.org/10.1186/s12890-026-04575-7"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2740|Lung Cancer Treatments and Mutations",
      "subfield": "general"
    }
  ],
  "title": "Noninvasive prediction of classic EGFR-activating mutations in non-small cell lung cancer using a combined spectral computed tomography model: an auxiliary tool for preoperative stratification of candidates for EGFR-TKI therapy",
  "title_text": "Noninvasive prediction of classic EGFR-activating mutations in non-small cell lung cancer using a combined spectral computed tomography model: an auxiliary tool for preoperative stratification of candidates for EGFR-TKI therapy",
  "type": "peer-reviewed",
  "updated_at": "2026-11-10T12:22:40Z",
  "url": "https://research.draconitic.com/paper/f28mxt400sh3h",
  "venue": "BMC Pulmonary Medicine",
  "versions": []
}