Correlation between body mass index and lymph node metastasis in papillary thyroid carcinoma: a retrospective clinical study.

Abstract

Background: Papillary thyroid carcinoma (PTC) is the most common malignant tumor of the thyroid gland, with lymph node metastasis significantly affecting patient prognosis. In recent years, body mass index (BMI) has garnered widespread attention as a potential factor influencing cancer development. This study aimed to explore the relationship between BMI and lymph node metastasis in patients with PTC, particularly focusing on the risk of metastasis in the lateral and central neck compartments.

Methods: This retrospective study comprised 993 patients who underwent surgical treatment and were pathologically confirmed to have PTC. Patient BMI data were collected, and their relationship with lymph node metastasis in the lateral and central neck compartments was analyzed. Logistic regression models were employed to analyze the correlation between BMI and lymph node metastasis.

Results: The study found a significant correlation between BMI and the risk of lateral neck lymph node metastasis in patients (P=0.008), along with a corresponding increase in extrathyroidal extension risk (P=0.02). While elevated BMI did not directly increase the risk of central compartment metastasis, a significant increase was observed in the number of central compartment lymph node metastases (P=0.009) and their proportion among the total central compartment lymph nodes (P=0.01) in patients with higher BMI. Additionally, multifocality, age, and gender were identified as risk factors for lateral neck lymph node metastasis, whereas Hashimoto's thyroiditis did not exhibit a similar impact.

Conclusions: This study highlights that higher BMI is an important risk factor for lateral neck lymph node metastasis in patients with PTC and may exacerbate the severity of central compartment lymph node metastasis. These findings underscore the importance of considering BMI in the management of thyroid cancer and provide data support for future prevention and intervention strategies.