III-IVEGFR

Wenjian Tang1, Yuan Kang1, Bo Lan1

  • 1Ganzhou Institute of Medical Imaging, Ganzhou Key Laboratory of Medical Imaging and Artificial Intelligence, Medical Imaging Center, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital, Jiangxi Medical College, Nanchang University, Ganzhou, 341000, China.

BMC medical imaging
|September 30, 2025
PubMed
概括

这项研究确定了关键的临床和CT成像特征,这些特征可以预测晚期肺腺癌中表皮生长因子受体 (EGFR) 突变状态. 纳入这些因素的诺米图准确地预测了III-IV阶段固体LAD患者的EGFR突变状态.

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