Development and verification of a radiomics model to forecast Ki67 index and prognosis in advanced gastric tubular adenocarcinoma

The radiomics model accurately predicts the Ki67 index and correlates with prognosis in advanced gastric tubular adenocarcinoma, offering valuable insights for clinical decision-making and personalized treatment strategies.

Authors

Institutions

Publication Details

Journal
BMC Gastroenterology
Published
2025-04-15
DOI
https://doi.org/10.1186/s12876-025-03845-8
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36

Funders

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

Development and verification of a radiomics model to forecast Ki67 index and prognosis in advanced gastric tubular adenocarcinoma

Zhi Jiang Zeng, Qiang Tong, Qiang Li, Jiatong Lu et al.
1 citations
BMC Gastroenterology
Radiomics and Machine Learning in Medical Imaging
1.36
article

Development and verification of a radiomics model to forecast Ki67 index and prognosis in advanced gastric tubular adenocarcinoma

Zhi Jiang Zeng, Qiang Tong, Qiang Li, Jiatong Lu, Qiushuang Wang, Fangfang Chen, Yan Junfeng, Yong Xiao
article en
1 citations

Abstract

The radiomics model accurately predicts the Ki67 index and correlates with prognosis in advanced gastric tubular adenocarcinoma, offering valuable insights for clinical decision-making and personalized treatment strategies.

BMC GastroenterologyVol. 25(1)
Wuhan University (CN), Renmin Hospital of Wuhan University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Zero hunger
Openalex Percentile: Top 21%
Radiomics and Machine Learning in Medical Imaging
1.36
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.