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Predictive model based on blood cell analysis and coagulation function indicators for neuroblastic tumors staging
Yanzi Zhang1,2, Lihong Zhang3,4, Mengmeng Chen1,2
1Clinical Laboratory, Children's Hospital Affiliated to Shandong University, Jinan, China.
Frontiers in Oncology
|August 11, 2025
Summary
Integrating blood cell analysis and coagulation markers aids in diagnosing advanced neuroblastic tumors in children. This approach improves diagnostic accuracy and supports clinical decision-making for better treatment planning.
Area of Science:
- Pediatric Oncology
- Hematology
- Clinical Diagnostics
Background:
- Neuroblastic tumors are a significant group of pediatric cancers.
- Accurate staging is crucial for effective treatment and prognosis.
- Distinguishing between localized, advanced neuroblastic tumors, and benign ganglioneuroma can be challenging.
Purpose of the Study:
- To evaluate the diagnostic utility of combining blood cell counts and coagulation parameters for neuroblastic tumor staging.
- To identify key hematological and coagulation indicators that differentiate tumor stages.
- To develop a predictive model for improved clinical decision-making in pediatric neuroblastic tumors.
Main Methods:
- Retrospective analysis of 137 pediatric neuroblastic tumor cases.
- Stratification into localized (INSS 1-2) and advanced (INSS 3-4) stages, with ganglioneuroma as a control.
- Univariate, multivariate logistic regression, and Receiver Operating Characteristic (ROC) curve analyses were employed.
Main Results:
- Older age, higher Red Cell Distribution Width-Coefficient of Variation (RDW-CV), Fibrinogen (Fib), and lower Hemoglobin (Hb) were associated with advanced stages.
- A predictive model using age, Thrombin Time (TT), Monocyte count (Mon#), and Hb achieved 78.10% overall accuracy.
- ROC analysis demonstrated high diagnostic efficacy with AUCs of 0.867 and 0.941 for specific comparisons.
Conclusions:
- Combined analysis of age, RDW-CV, Hb, Mon#, Fib, and TT aids in preliminary assessment of neuroblastic tumor stage.
- This integrated approach enhances diagnostic accuracy and efficiency for pediatric neuroblastic tumors.
- The findings provide a valuable reference for developing precise diagnosis and treatment strategies.
