# Intratumoral and peritumoral radiomics nomograms for the preoperative prediction of lymphovascular invasion and overall survival in non-small cell lung cancer

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/intratumoral-and-peritumoral-radiomics-nomograms-for-the-preoperative-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Qiaoling Chen,JingJing Shao,Ting Xue,Hui Peng,Manman Li,Shaofeng Duan,Feng Feng |
| Citations | 95 |
| DOI | 10.1007/s00330-022-09109-3 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4294675960 |
| PMID | 36064979 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Qiaoling Chen](https://scholariq.org/researchers/qiaoling-chen/)

## 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/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Hepatocellular Carcinoma Treatment and Prognosis](https://scholariq.org/topics/hepatocellular-carcinoma-treatment-and-prognosis/)

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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.