Radiomic signatures of brain metastases on MRI: utility in predicting pathological subtypes of lung cancer
Linlin Sun, Shihai Luan, Liheng Yu, Huiyuan Zhu, Haiyang Dong, Xuemei Liu, Guangyu Tao, Pengbo He, Qiang Li, Weiqiang Chen, Zekuan Yu, Hong Yu, Li Zhu · 2024
Read Radiomic signatures of brain metastases on MRI: utility in predicting pathological subtypes of lung cancer by Linlin Sun, Shihai Luan, Liheng Yu, Huiyuan Zhu, Haiyang Dong, Xuemei Liu, Guangyu Tao, Pengbo He, Qiang Li, Weiqiang Chen, Zekuan Yu, Hong Yu, Li Zhu (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11729765.txt.
Description
Linlin Sun and co-authors built a scan-based model in 2024 to tell lung cancer types apart from brain scans. The exact type of lung cancer shapes the care plan and the outlook for each patient. Tissue tests give the answer but take time, so a fast read from scans could guide early choices.
The team studied 161 patients whose lung cancer had already spread to the brain when found. They pulled fine texture traits from brain scans in more than one scan mode and trained a model on those traits. Most cases were one common type and the rest were other types. A sound scan model could sort new cases without a wait for tissue results.
Catalog record
| CREATOR | Linlin Sun, Shihai Luan, Liheng Yu, Huiyuan Zhu, Haiyang Dong, Xuemei Liu, Guangyu Tao, Pengbo He, Qiang Li, Weiqiang Chen, Zekuan Yu, Hong Yu, Li Zhu |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 27 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |