Differentiation of Brain Metastases from Different Pathological Types of Lung Cancers by Using Radiomic Features of the Edema and Tumor Region
Motivation: Prediction of brain metastases from different pathological types of lung cancers. Goal(s): To develop a radiomic model based on the peritumoral edema and tumor region for tumor type prediction of brain metastases from different pathological types of lung cancers. Approach: Collect lung cancer patients, establish radiomics models, and test the model's differentiation of lesions. Results: The radiomic model could effectively differentiate two pathological types of brain metastasis from lung cancer. Impact: The radiomic model based on the edema and tumor region could effectively differentiate two pathological types of brain metastasis from lung cancer. It is expected to provide an imaging basis for clinicians to evaluate prognosis and formulate personalized treatment plans.
Authors
- Hanting Zhu
- Yu Zou (ORCID: https://orcid.org/0000-0002-8812-5662)
- Rui Xiong (ORCID: https://orcid.org/0000-0002-6350-9037)
- Chengyi Li (ORCID: https://orcid.org/0000-0003-2380-555X)
- Xiaoping Tang (ORCID: https://orcid.org/0000-0002-5067-659X)
- Pengxin Hu
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/3837
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00