Predicting response to immunochemotherapy in EGFR-mutant lung adenocarcinoma after third-generation TKI resistance using CT radiomics-based habitat imaging - Takeaways - MDSpire

Predicting response to immunochemotherapy in EGFR-mutant lung adenocarcinoma after third-generation TKI resistance using CT radiomics-based habitat imaging

  • By

  • Shuai Qie

  • Yasong Shi

  • Jingyun Li

  • Sicong Jia

  • Xiaoping Yin

  • June 2, 2026

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  • 1

    A CT-based habitat radiomics model was developed to predict immunochemotherapy outcomes in EGFR-mutant lung adenocarcinoma after TKI resistance.

  • 2

    The study included 475 patients, with 332 in the training cohort and 143 in the validation cohort, utilizing K-means clustering for tumor subregion analysis.

  • 3

    The combined model achieved an AUC of 0.904 in the training cohort and 0.890 in the validation cohort, outperforming other predictive models.

  • 4

    Kaplan–Meier analysis indicated significant survival differences, with high-risk groups showing shorter overall survival in both cohorts.

  • 5

    The model's high negative predictive value suggests potential to reduce unnecessary treatments in predicted non-responders, warranting further validation.

Original Source(s)

Predicting response to immunochemotherapy in EGFR-mutant lung adenocarcinoma after third-generation TKI resistance using CT radiomics-based habitat imaging

  • by Shuai Qie, Yasong Shi, Jingyun Li, Sicong Jia, Xiaoping Yin

  • June 2, 2026

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