| 郑泌华,王荣华,吴山,武志峰.CT及其联合人工智能诊断肺腺癌气腔播散研究进展[J].中国介入影像与治疗学,2026,23(4):247-250 |
| CT及其联合人工智能诊断肺腺癌气腔播散研究进展 |
| Research progresses of CT and combined with artificial intelligence for diagnosing spread through air space in lung adenocarcinoma |
| 投稿时间：2025-12-22 修订日期：2026-02-08 |
| DOI：10.13929/j.issn.1672-8475.2026.04.012 |
| 中文关键词: 肺腺癌 肿瘤转移 体层摄影术,X线计算机 人工智能 |
| 英文关键词:adenocarcinoma of lung neoplasm metastasis tomography,X-ray computed artificial intelligence |
| 基金项目:山西省基础研究计划（202403021222392）。 |
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| 中文摘要: |
| 气腔播散（STAS）是肺腺癌的重要侵袭方式，与术后复发及预后不良相关。近年来，CT及基于CT的人工智能模型研究快速发展，为无创诊断肺腺癌STAS提供了新思路。本文就CT及其联合人工智能诊断肺腺癌STAS研究进展进行综述。 |
| 英文摘要: |
| Spread through air space （STAS） is an important invasive pattern of lung adenocarcinoma，which is associated with postoperative recurrence and poor prognosis. In recent years， rapid advancements in CT and models based on CT combining with artificial intelligence（AI） have provided new approaches for non-invasive diagnosis of STAS of lung adenocarcinoma. The research progresses of CT and CT combined with AI for diagnosing STAS of lung adenocarcinoma were reviewed in this article. |
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