How Many Nodes to Take? Lymph Node Ratio Below 1/3 Reduces Papillary Thyroid Cancer Nodal Recurrence

Rachel E Weitzman1, Natalie S Justicz1, Dipti Kamani1

  • 1Department of Otolaryngology - Head & Neck Surgery, Thyroid and Parathyroid Endocrine Surgical Division, Harvard Medical School, Massachusetts Eye and Ear, Boston, Massachusetts, USA.

The Laryngoscope
|March 1, 2022
PubMed
Abstract

Insights

Papillary thyroid carcinoma (PTC) nodal recurrence risk can be predicted by specific factors. A lymph node ratio (LNR) below 0.3 is optimal for reducing recurrence after thyroid surgery.

Area of Science:

  • Oncology
  • Surgical Oncology
  • Endocrinology

Background:

  • Papillary thyroid carcinoma (PTC) is the most common thyroid malignancy.
  • Nodal metastases are the primary recurrence site for PTC, occurring in 70% of recurrences.
  • Optimal lymph node dissection for PTC remains undefined.

Purpose of the Study:

  • To identify predictors of nodal recurrence in PTC within 5 years of surgery.
  • To evaluate the significance of lymph node ratio (LNR) in predicting PTC recurrence.
  • To inform clinical decision-making regarding surgical extent for PTC.

Main Methods:

  • Retrospective chart review of 41 patients with PTC nodal recurrence and 284 without.
  • Comparison of clinical history, surgical findings, and tumor characteristics between cohorts.
  • Analysis of factors including tumor size, extrathyroidal extension, LNR, and postoperative treatment.

Main Results:

  • Higher rates of therapeutic lymph node dissection in the recurrence cohort.
  • Significantly increased tumor size, extrathyroidal extension, largest lymph node size, LNR, postoperative thyroglobulin, and radioactive iodine use in the PTC nodal recurrence group.
  • LNR > 0.3 was a highly significant predictor, capturing 68.3% of recurrence cases.

Conclusions:

  • Specific characteristics can help assess PTC nodal recurrence risk.
  • An LNR < 0.3 is suggested as optimal for reducing recurrence risk.
  • Further validation studies and analysis are needed to optimize surgical dissection extent.

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