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Updated: Jul 16, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Acute hematologic toxicity of radiation therapy - a comprehensive analysis and predictive nomogram
Kazuya Takeda1,2, Rei Umezawa1, Takaya Yamamoto1
1Department of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8574, Japan.
This study developed predictive nomograms for radiation-induced neutropenia, lymphocytopenia, and anemia in cancer patients. These tools accurately predict hematologic toxicity, aiding clinical management.
Area of Science:
- Oncology
- Hematology
- Radiotherapy
Background:
- Radiation therapy can cause hematologic toxicity, impacting patient outcomes.
- Predicting and managing radiation-induced cytopenias is crucial in cancer care.
Conclusions:
- Predictive nomograms for neutropenia, lymphocytopenia, and anemia were successfully established.
- These nomograms show high reproducibility and can aid in predicting and managing radiation-induced hematologic toxicities.
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