Accessing the influence of 99mTc-Sesta-MIBI-positive thyroid nodules on preoperative localisation studies in patients with primary hyperparathyroidism - Top-Institutions - MDSpire

Accessing the influence of 99mTc-Sesta-MIBI-positive thyroid nodules on preoperative localisation studies in patients with primary hyperparathyroidism

  • By

  • Lindsay Hargitai

  • Maria Schefner

  • Tatjana Traub-Weidinger

  • Alexander Haug

  • Melisa Arikan

  • Christian Scheuba

  • Philipp Riss

  • January 21, 2022

  • 0 min

Share

Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Endocrine Surgery
    • Nuclear Medicine
    • Endocrinology

  • #2

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Endocrine Surgery
    • Nuclear Medicine
    • Endocrinology

  • #3

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Endocrine Surgery
    • Nuclear Medicine
    • Endocrinology

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Endocrine Surgery
    • Nuclear Medicine
    • Endocrinology

Original Source(s)

Accessing the influence of 99mTc-Sesta-MIBI-positive thyroid nodules on preoperative localisation studies in patients with primary hyperparathyroidism

  • by Lindsay Hargitai, Maria Schefner, Tatjana Traub-Weidinger, Alexander Haug, Melisa Arikan, Christian Scheuba, Philipp Riss

  • January 21, 2022

Related Content

Three-dimensional image guidance for diagnosis and treatment of adrenal disease: a systematic review

AI in radiology and interventions: a structured narrative review of workflow automation, accuracy, and efficiency gains of today and what’s coming

UroFusion-X: a unified multimodal deep learning framework for robust diagnosis, subtyping, and prognosis of urological cancers