Unexplained cervical lymphadenopathy in children: predictive factors for malignancy

Area of Science:

• Pediatric Oncology
• Diagnostic Imaging
• Clinical Pathology

Background:

• Unexplained cervical lymphadenopathy in children often requires differentiation between benign and malignant causes.
• Accurate prediction of malignancy is crucial for timely and appropriate management.

Purpose of the Study:

• To identify clinical factors that predict the likelihood of malignancy in pediatric patients with unexplained cervical lymphadenopathy.
• To establish parameters that aid in the diagnostic process for these cases.

Main Methods:

• Retrospective analysis of 175 pediatric cases with unexplained cervical lymphadenopathy.
• Collection of clinical data including patient demographics, fever, number and location of involved lymph node regions, and node size.
• Utilized Receiver Operating Characteristic (ROC) analysis to determine the optimal size parameter (maximal width to maximal length ratio) and logistic regression to identify independent predictors of malignancy.

Main Results:

• The ratio of maximal width to maximal length (ratio) of the largest node, with a threshold of 0.5, was the optimal size parameter for malignancy prediction.
• Multivariate analysis identified the number of involved regions (OR, 5.169), location of the largest node (OR, 12.423), and the width-to-length ratio (OR, 52.080) as significant independent predictors of malignancy.

Conclusions:

• A higher width-to-length ratio (>0.5), involvement of two or more cervical regions, and largest node location in regions II or III are associated with an increased likelihood of malignancy.
• These clinical findings can supplement physician judgment in evaluating enlarged cervical lymph nodes in children.