# Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/can-ct-based-radiomics-signature-predict-kras-nras-braf-mutations-in-colorectal/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lei Yang,Di Dong,Mengjie Fang,Yongbei Zhu,Yali Zang,Zhenyu Liu,Hongmei Zhang,Jianming Ying,Xinming Zhao,Jie Tian |
| Citations | 252 |
| DOI | 10.1007/s00330-017-5146-8 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2782896508 |
| PMID | 29335867 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Jianming Ying](https://scholariq.org/researchers/jianming-ying/)

## Paper journal

- [European Radiology](https://scholariq.org/journals/european-radiology/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Colorectal Cancer Treatments and Studies](https://scholariq.org/topics/colorectal-cancer-treatments-and-studies/)
- [Colorectal Cancer Surgical Treatments](https://scholariq.org/topics/colorectal-cancer-surgical-treatments/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.