Construction of a Risk-Prediction Model for Severe Bone Marrow Suppression During Radiotherapy in Cervical Cancer...

Area of Science:

• Oncology
• Radiotherapy
• Hematology

Background:

• Cervical cancer patients undergoing radiotherapy face risks of severe bone marrow suppression.
• Identifying risk factors is crucial for patient management and treatment optimization.

Purpose of the Study:

• To examine risk factors for severe bone marrow suppression in cervical cancer patients during radiotherapy.
• To develop and validate a visual tool for predicting this risk.

Main Methods:

• Retrospective cohort study of 300 cervical cancer patients.
• Development of a nomogram prediction model using logistic regression.
• Validation of the nomogram's predictive performance using ROC curves, calibration curves, and DCA.

Main Results:

• Menopausal status, Karnofsky performance score (KPS), clinical stage, concurrent chemotherapy, and pre-radiotherapy creatinine levels were identified as independent risk factors.
• The nomogram demonstrated good predictive performance and clinical utility.

Conclusions:

• A nomogram model effectively predicts severe bone marrow suppression risk in cervical cancer patients undergoing radiotherapy.
• This tool supports individualized risk assessment and early intervention strategies.