Prospective external validation of radiomics‐based predictive model of distant metastasis after dynamic tumor tracking stereotactic body radiation therapy in patients with non‐small‐cell lung cancer: A multi‐institutional analysis
Although predictive models for DM lack significance when applied to prospectively enrolled cases undergoing DTT-lung SBRT, the model with RSF exhibits a consistent capacity to effectively classify patients at a high risk of developing DM.
Authors
- Masahiro Hiraoka
- Yukinori Matsuo (ORCID: https://orcid.org/0000-0002-4372-8259)
- Takashi Mizowaki (ORCID: https://orcid.org/0000-0002-8135-8746)
- Takashi Sakamoto (ORCID: https://orcid.org/0000-0001-7483-9704)
- Takanori Adachi (ORCID: https://orcid.org/0000-0003-1356-5118)
- Mitsuhiro Nakamura (ORCID: https://orcid.org/0000-0002-6406-2097)
- Masaki Kokubo
- Katsuyuki Karasawa (ORCID: https://orcid.org/0000-0003-3505-2655)
Institutions
- Kyoto University (JP)
- Xavier School of Management (IN)
- Tokyo Metropolitan Komagome Hospital (JP)
- Kyoto Katsura Hospital (JP)
- Japanese Red Cross Society Wakayama Medical Center (JP)
- Kobe City Medical Center General Hospital (JP)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1002/acm2.14475
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.21