Data Sheet 1_Normal tissue complication probability modeling of severe radiation-induced lymphopenia using blood dose for lung cancer patients treated with IMRT and IMPT.docx

A study of 131 lung cancer patients treated between 2022 and 2025 develops modality-specific NTCP models for severe radiation-induced lymphopenia. The research, authored by Shuting Wang, compares photon (IMRT) and proton (IMPT) radiotherapy cohorts. It includes whole-body blood dose-volume histograms and model performance metrics like AUC and Brier score.

Use Cases

• Predict severe radiation-induced lymphopenia (SRIL) incidence using blood generalized equivalent uniform dose (gEUD) and modality-specific NTCP parameters.
• Compare model performance and parameter differences (e.g., volume-effect parameter 'a') between IMRT and IMPT treatment cohorts using AUC and calibration slopes.
• Validate cross-modality risk prediction by applying the IMRT-derived NTCP model to the IMPT cohort to assess calibration performance.
• Analyze the relationship between whole-body blood dose-volume histograms and SRIL risk using odds ratios (OR) and p-values from the statistical model.

Strengths

• Model performance is quantified with specific metrics: AUC of 0.82 for IMRT and 0.80 for IMPT cohorts.
• Includes data from 131 patient records with clear cohort sizes: 94 IMRT and 37 IMPT patients.
• Provides explicit model parameters, such as volume-effect parameter 'a' (19.85 for IMRT vs. 2.35 for IMPT).

Limitations

• Small sample size of 131 patients limits statistical power and generalizability of findings.
• Retrospective study design from a single institution may introduce selection bias.
• The dataset is a 616.2 KB document (DOCX), not a structured data table, requiring manual extraction for analysis.

Provenance

Source

figshare, authored by Shuting Wang.

Collection Method

Retrospective analysis of patient records; whole-body blood dose-volume histograms calculated using the HEDOS framework.

Time Range

Patient treatments occurred between 2022 and 2025.

Freshness

Data covers patients treated up to 2025; the study was last updated in April 2026.

Geography

null