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March 28, 2025Cancer ImagingOpen Access

Differentiating high-grade patterns and predominant subtypes for IASLC grading in invasive pulmonary adenocarcinoma using radiomics and clinical-semantic features

Sunyi Zheng Jiaxin Liu Jiping Xie Wenjia Zhang Keyi Bian Jing Liang Jingxiong Li Jing Wang Zhaoxiang Ye Dongsheng Yue Xiaonan Cui

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Abstract

Predicting HGP and PS using radiomics can achieve accurate IASLC grading in ADCs. Such a two-step radiomics model may provide precise preoperative diagnosis, thereby supporting treatment planning.

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Cite This Study

Zheng et al. (2025) studied this question.

synapsesocial.com/papers/69dc7a6fd4d0de07d11334ff https://doi.org/10.1186/s40644-025-00864-2

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