Preoperative diagnostic algorithm of primary thyroid lymphoma using ultrasound, aspiration cytology, and flow

Mitsuyoshi Hirokawa1, Takumi Kudo2, Hisashi Ota3

  • 1Department of Diagnostic Pathology and Cytology, Kuma Hospital, Kobe 650-0011, Japan.

Endocrine Journal
|July 11, 2017
PubMed

Insights

This study evaluates ultrasound, fine needle aspiration cytology, and flow cytometry for diagnosing primary thyroid lymphoma. A combined scoring system can guide surgical decisions for accurate diagnosis.

Area of Science:

  • Endocrinology
  • Oncology
  • Diagnostic Imaging

Background:

  • Primary thyroid lymphoma is rare but requires accurate preoperative diagnosis.
  • Distinguishing lymphoma from benign thyroid conditions is clinically significant.

Purpose of the Study:

  • To assess the diagnostic value of ultrasound (US), fine needle aspiration cytology (FNAC), and flow cytometry for primary thyroid lymphoma.
  • To develop a preoperative diagnostic algorithm for primary thyroid lymphoma.

Main Methods:

  • Retrospective analysis of 32 primary thyroid lymphoma and 43 benign lymphoproliferative lesion cases.
  • Evaluation of US, FNAC, and flow cytometry data collected between May 2012 and December 2015.
  • Development of a scoring system integrating US, FNAC, and flow cytometry results.

Main Results:

  • Flow cytometry demonstrated the highest specificity (88.4%) and sensitivity (75.0%).
  • FNAC showed the highest positive (90.5%) and negative (94.7%) predictive values.
  • A proposed scoring system (US + FNAC + flow cytometry) with a threshold of ≥4 suggests thyroid resection for diagnosis.

Conclusions:

  • A combined diagnostic approach using US, FNAC, and flow cytometry can improve the preoperative diagnosis of primary thyroid lymphoma.
  • The proposed algorithm aids in identifying patients who may benefit from surgical intervention.
  • While aggressive lymphomas are identified, indolent types like MALT lymphoma may require careful follow-up.

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