January 10, 2026Anticancer Research0 citationsOpen Access

Estimation of Tumor Control Probability of Carbon Ion Radiotherapy Using Cancer Type-specific Sensitivity Data

EYEUNHYE YUGunma University TOTAKAHIRO OIKE MSMAKOTO SAKAIKyushu University

Key Result

Incorporating cancer type-specific carbon ion sensitivity data enhanced TCP model predictions compared to the conventional HSG cell-based approach.

Key Points

The study aims to enhance the accuracy of tumor control probability modeling for carbon ion radiotherapy by using cancer type-specific sensitivity data.
Utilized carbon ion sensitivity data specific to different cancer types.
Compared predictive performance of the new approach against traditional HSG cell-based methods.
Conducted modeling to estimate tumor control probability.
The cancer type-specific approach showed improved predictive performance.
Enhanced accuracy was observed in modeling outcomes compared to conventional methods.

Structured PICO

Does incorporating cancer type-specific carbon ion sensitivity data improve the predictive performance of tumor control probability modeling compared to the conventional HSG cell-based approach in NSCLC?

Population

13 human non-small cell lung cancer (NSCLC) cell lines and clinical data from 48 stage I NSCLCs (26 adenocarcinomas, 22 squamous cell carcinomas) treated with carbon ion radiotherapy.

Intervention

Tumor control probability (TCP) modeling incorporating cancer type-specific (NSCLC) carbon ion sensitivity data (mean α and β values derived from clonogenic assays).

Comparator

TCP modeling using conventional human salivary gland (HSG) cell-derived α and β values.

Outcome

Agreement between the TCP model and clinical local control rates, evaluated using the coefficient of determination (R2).surrogate

Incorporating cancer type-specific carbon ion sensitivity data improves the predictive accuracy of tumor control probability modeling for carbon ion radiotherapy compared to the conventional HSG cell-based approach.

Main Result

Absolute Event Rate: 0% vs 0%

Abstract

Incorporation of cancer type-specific carbon ion sensitivity data can improve the predictive performance of TCP modeling compared with the conventional HSG cell-based approach.

Ask AI

Helpful

Bookmark

View Full Paper