External Validation of the Proliferation Saturation Index Model in Predicting Tumor Volume Regression in Patients With Non-Small Cell Lung Cancer Undergoing Radiation Therapy

This external validation confirms the PSI model's reproducibility and robustness in predicting TVR in patients with non-small cell lung cancer treated with definitive RT, supporting its integration into personalized RT planning strategies.

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Publication Details

Journal
International Journal of Radiation Oncology*Biology*Physics
Published
2026-02-01
DOI
https://doi.org/10.1016/j.ijrobp.2026.02.213
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

External Validation of the Proliferation Saturation Index Model in Predicting Tumor Volume Regression in Patients With Non-Small Cell Lung Cancer Undergoing Radiation Therapy

Mohammad U. Zahid, GM Walls, Heiko Enderling, Sarah Barrett et al.
International Journal of Radiation Oncology*Biology*Physics
Lung Cancer Diagnosis and Treatment
article

External Validation of the Proliferation Saturation Index Model in Predicting Tumor Volume Regression in Patients With Non-Small Cell Lung Cancer Undergoing Radiation Therapy

Mohammad U. Zahid, GM Walls, Heiko Enderling, Sarah Barrett, Laure Marignol
article en

Abstract

This external validation confirms the PSI model's reproducibility and robustness in predicting TVR in patients with non-small cell lung cancer treated with definitive RT, supporting its integration into personalized RT planning strategies.

International Journal of Radiation Oncology*Biology*Physics
Queen's University Belfast (GB), Belfast Health and Social Care Trust (GB), The University of Texas MD Anderson Cancer Center (US), Trinity College Dublin (IE), The Northern Ireland Cancer Centre (GB)
Varian Medical Systems
No poverty
Openalex Percentile: Top 48%
Lung Cancer Diagnosis and Treatment
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