Different radiomics models in predicting the malignant potential of small intestinal stromal tumors

The model constructed with SVM method was the best model for predicting the malignant potential of SISTs. Radiomics model and nomogram model showed high predictive value in predicting the malignant potential of SISTs.

Authors

Institutions

Publication Details

Journal
European Journal of Radiology Open
Published
2024-11-25
DOI
https://doi.org/10.1016/j.ejro.2024.100615
Citations
3
Primary Topic
Gastrointestinal Tumor Research and Treatment
Type
article
Field-Weighted Citation Impact
1.39

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Different radiomics models in predicting the malignant potential of small intestinal stromal tumors

Xianchao Zhou, Chongfeng Duan, Qiulin Shao, Yuxin Xie et al.
3 citations
European Journal of Radiology Open
Gastrointestinal Tumor Research and Treatment
1.39
article

Different radiomics models in predicting the malignant potential of small intestinal stromal tumors

Xianchao Zhou, Chongfeng Duan, Qiulin Shao, Yuxin Xie, Xin Wang, Gang Wang, Fang Liu, Ruirui Zhao, Xiaoming Zhou, Zheng Sun, Shuai Zhang
article en
3 citations

Abstract

The model constructed with SVM method was the best model for predicting the malignant potential of SISTs. Radiomics model and nomogram model showed high predictive value in predicting the malignant potential of SISTs.

European Journal of Radiology OpenVol. 13
Qingdao University (CN), Western University (CA), Affiliated Hospital of Qingdao University (CN)
Qingdao University
Zero hunger
Openalex Percentile: Top 18%
Gastrointestinal Tumor Research and Treatment
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.