The predictive value of platelet parameters for the response to initial 131I therapy in patients with differentiated thyroid cancer - Scorecard - MDSpire

The predictive value of platelet parameters for the response to initial 131I therapy in patients with differentiated thyroid cancer

  • By

  • Xian Wang

  • Suyun Yang

  • June 19, 2026

  • 0 min

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Clinical Scorecard: Evaluating the Predictive Role of Platelet Metrics on Initial 131I Treatment Outcomes in Differentiated Thyroid Cancer Patients

At a Glance

CategoryDetail
ConditionDifferentiated Thyroid Cancer
Key MechanismsPlatelet parameters may reflect tumor-associated inflammation and aggressive biological behavior, influencing treatment response.
Target PopulationPatients with differentiated thyroid cancer undergoing initial 131I therapy.
Care SettingDepartment of Nuclear Medicine in a tertiary hospital.

Key Highlights

  • MPV was independently and negatively associated with non-Excellent Response (ER).
  • Optimal MPV cutoff value for predicting non-ER was determined to be 9.95 fL.
  • ROC curve analysis showed MPV had a moderate predictive value for treatment response (AUC = 0.664).
  • Age and pre-stimulated thyroglobulin (ps-Tg) influence the association between MPV and treatment response.

Guideline-Based Recommendations

Diagnosis

  • Assessment of treatment response should follow the 2025 American Thyroid Association Guidelines.

Management

  • Identify and predict patients with poor treatment response to optimize treatment strategies.

Monitoring & Follow-up

  • Early assessment of treatment response is crucial for determining follow-up examinations.

Risks

  • Overtreatment may lead to unnecessary radioactive iodine therapy and associated adverse reactions.

Patient & Prescribing Data

365 patients with differentiated thyroid cancer.

Platelet metrics may serve as adjunctive tools for predicting treatment outcomes.

Clinical Best Practices

  • Utilize platelet parameters in conjunction with existing clinicopathological and biochemical indicators for treatment response assessment.

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