A scoring system is an effective tool for predicting central lymph node metastasis in papillary thyroid
Ye-feng Cai1, Qing-xuan Wang2, Chun-jue Ni3
1Department of Oncology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, No. 2 Fuxue Lane, Wenzhou, 325000, China. cyfoncology@gmail.com.
World Journal of Surgical Oncology
|February 26, 2016
Summary
A new scoring system effectively predicts central lymph node metastasis in papillary thyroid microcarcinoma. Patients with a score of 5 or less have low risk, while higher scores indicate high risk, guiding further treatment decisions.
Area of Science:
- Oncology
- Radiology
- Pathology
Background:
- Papillary thyroid microcarcinoma (PTMC) presents diagnostic challenges regarding lymph node involvement.
- Accurate prediction of central lymph node metastasis (CLNM) is crucial for treatment planning.
Purpose of the Study:
- To evaluate clinicopathologic and ultrasonographic (US) features of PTMC.
- To develop and validate a scoring system for predicting CLNM in PTMC.
Main Methods:
- Analysis of 498 PTMC patients undergoing thyroidectomy and central lymph node dissection (CLND).
- Identification of independent predictors for CLNM using univariate and multivariate analyses.
- Construction and validation of a 10-point scoring system based on significant predictors.
Main Results:
- Key predictors for CLNM included lower pole tumor location, size >5 mm, extrathyroidal extension, ill-defined margins, enlarged lymph nodes, and capsule contact >25%.
- A cutoff score of 5 demonstrated optimal prediction for CLNM, with sensitivity of 64.7% and specificity of 80.5%.
- Positive predictive value was 77.3% and negative predictive value was 69.0%.
Conclusions:
- A scoring system with a cutoff of 5 points can stratify PTMC patients into low (≤5 points) and high (>5 points) risk groups for CLNM.
- High-risk patients may benefit from advanced diagnostic approaches and prophylactic CLND.
