# Pretreatment CT-based machine learning radiomics model predicts response in unresectable hepatocellular carcinoma treated with lenvatinib plus PD-1 inhibitors and interventional therapy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/pretreatment-ct-based-machine-learning-radiomics-model-predicts-response-in/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yonglin Hua,Zhixian Sun,Yuxin Xiao,Huilong Li,Xiaowu Ma,Xuan Luo,Wenliang Tan,Zhiqin Xie,Ziyu Zhang,Chenwei Tang,Hongkai Zhuang,Weikai Xu,Haihong Zhu,Yajin Chen,Changzhen Shang |
| Citations | 53 |
| DOI | 10.1136/jitc-2024-008953 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://jitc.bmj.com/content/jitc/12/7/e008953.full.pdf |
| OpenAlex ID | https://openalex.org/W4400839244 |
| PMID | 39029924 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Wenliang Tan](https://scholariq.org/researchers/wenliang-tan/)
- [Zhiqin Xie](https://scholariq.org/researchers/zhiqin-xie/)

## 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/)
- [Hepatocellular Carcinoma Treatment and Prognosis](https://scholariq.org/topics/hepatocellular-carcinoma-treatment-and-prognosis/)
- [Cancer Immunotherapy and Biomarkers](https://scholariq.org/topics/cancer-immunotherapy-and-biomarkers/)

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