Machine learning-based prognostic model for local control prediction in lung cancer patients undergoing stereotactic body radiation therapy: a preliminary study

ML demonstrates certain potential in LC prediction after SBRT. Nevertheless, it is worth noting that the study relies solely on internal validation and lacks external validation; therefore, further validation in independent cohorts is required before the model can be responsibly considered for clinical implementation.

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Publication Details

Journal
European journal of medical research
Published
2026-02-01
DOI
https://doi.org/10.1186/s40001-026-03960-6
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Machine learning-based prognostic model for local control prediction in lung cancer patients undergoing stereotactic body radiation therapy: a preliminary study

Bao-Tian Huang, Li-Mei Luo, Ying Wang, Pei-Xian Lin
European journal of medical research
Radiomics and Machine Learning in Medical Imaging
article

Machine learning-based prognostic model for local control prediction in lung cancer patients undergoing stereotactic body radiation therapy: a preliminary study

Bao-Tian Huang, Li-Mei Luo, Ying Wang, Pei-Xian Lin
article en

Abstract

ML demonstrates certain potential in LC prediction after SBRT. Nevertheless, it is worth noting that the study relies solely on internal validation and lacks external validation; therefore, further validation in independent cohorts is required before the model can be responsibly considered for clinical implementation.

European journal of medical researchVol. 31(1)
Shantou University (CN), Cancer Hospital of Shantou University Medical College (CN), Second Affiliated Hospital of Shantou University Medical College (CN), Guangzhou Chest Hospital (CN)
National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province
Good health and well-being
Openalex Percentile: Top 71%
Radiomics and Machine Learning in Medical Imaging
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