Influencing factors and model predictive analysis of the efficacy of adjuvant ¹³¹I therapy after DTC surgery - Takeaways - MDSpire

Influencing factors and model predictive analysis of the efficacy of adjuvant ¹³¹I therapy after DTC surgery

  • By

  • Honghong Pan

  • Mingming Zheng

  • Qian Su

  • July 10, 2026

  • 0 min

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  • 1

    The study analyzed 376 differentiated thyroid cancer patients who received 100 mCi of adjuvant ¹³¹I therapy after total thyroidectomy.

  • 2

    The incidence of non-excellent response (nER) among patients was found to be 48.40% at the 6-month follow-up.

  • 3

    Independent risk factors for nER included BMI, number of metastatic lymph nodes, stimulated thyroglobulin, BRAF mutation, and mean residual ¹³¹I uptake count.

  • 4

    The random forest predictive model demonstrated the highest performance with an AUC of 90.77%, indicating its effectiveness in predicting treatment response.

  • 5

    Patients with high stimulated thyroglobulin, multiple lymph node metastases, and elevated BMI had a 100% risk of non-excellent response.

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