# Ultrasound radiomics-based nomogram to predict lymphovascular invasion in invasive breast cancer: a multicenter, retrospective study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/ultrasound-radiomics-based-nomogram-to-predict-lymphovascular-invasion-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yu Du,Mengjun Cai,Hailing Zha,Baoding Chen,Jun Gu,Manqi Zhang,Wei Liu,Xinpei Liu,Xiaoan Liu,Min Zong,Cuiying Li |
| Citations | 38 |
| DOI | 10.1007/s00330-023-09995-1 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4385406883 |
| PMID | 37518678 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Baoding Chen](https://scholariq.org/researchers/baoding-chen/)

## Paper journal

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

## Paper primary topic

- [Breast Cancer Treatment Studies](https://scholariq.org/topics/breast-cancer-treatment-studies/)

## Paper topics

- [Breast Cancer Treatment Studies](https://scholariq.org/topics/breast-cancer-treatment-studies/)
- [MRI in cancer diagnosis](https://scholariq.org/topics/mri-in-cancer-diagnosis/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.