Longitudinal dynamics of symptom networks in patients with differentiated thyroid cancer undergoing radioactive iodine therapy: a prospective cohort study - Top-Institutions - MDSpire

Longitudinal dynamics of symptom networks in patients with differentiated thyroid cancer undergoing radioactive iodine therapy: a prospective cohort study

  • By

  • Juan Deng

  • Qin Deng

  • Li Zhang

  • April 30, 2026

  • 0 min

Share

Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Endocrinology
    • Oncology
    • Nuclear Medicine
    • Psycho-oncology

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Endocrinology
    • Oncology
    • Nuclear Medicine

  • #3

    Johns Hopkins Medicine
    Johns Hopkins Medicine

    Baltimore, MD

    Key Differentiators

    • Endocrinology
    • Oncology
    • Nuclear Medicine

  • #4

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, MA

    Key Differentiators

    • Oncology
    • Endocrinology
    • Psycho-oncology

  • #5

    University of California, San Francisco (UCSF) Medical Center
    University of California, San Francisco (UCSF) Medical Center

    San Francisco, CA

    Key Differentiators

    • Endocrinology
    • Oncology
    • Nuclear Medicine

Original Source(s)

Longitudinal dynamics of symptom networks in patients with differentiated thyroid cancer undergoing radioactive iodine therapy: a prospective cohort study

  • by Juan Deng, Qin Deng, Li Zhang

  • April 30, 2026

Related Content

A Novel Interpretable Machine Learning Method for Predicting Distant Metastasis in Papillary Thyroid Carcinoma: Development, Validation, and Clinical Implications

A novel marker for predicting malignancy in patients with thyroid nodules diagnosed as AUS on initial cytology: thyroid hormone sensitivity

Bilateral disease in the classic subtype of papillary thyroid carcinoma: clinical significance and development of an artificial intelligence-based multimodal prediction model