Preoperative prediction of Ki-67 expression in hepatocellular carcinoma by spectral imaging on dual-energy computed tomography (DECT)

DECT provides a non-invasive method to evaluate the proliferation status of HCC cells, and the predictive efficacy of high Ki-67 expression could be improved by combining DECT parameters and morphologic features.

Authors

Institutions

Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2024-11-21
DOI
https://doi.org/10.21037/qims-24-461
Citations
2
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preoperative prediction of Ki-67 expression in hepatocellular carcinoma by spectral imaging on dual-energy computed tomography (DECT)

Suping Chen, Li Liao, Xin Yue, Peng Zhang et al.
2 citations
Quantitative Imaging in Medicine and Surgery
Advanced X-ray and CT Imaging
0.37
article

Preoperative prediction of Ki-67 expression in hepatocellular carcinoma by spectral imaging on dual-energy computed tomography (DECT)

Suping Chen, Li Liao, Xin Yue, Peng Zhang, Yan Zhang, Caiyun Li, Yu Lin
article en
2 citations

Abstract

DECT provides a non-invasive method to evaluate the proliferation status of HCC cells, and the predictive efficacy of high Ki-67 expression could be improved by combining DECT parameters and morphologic features.

Quantitative Imaging in Medicine and SurgeryVol. 14(12)
Union Hospital (HK), Xiamen University (CN), Zhongshan Hospital of Xiamen University (CN), United Imaging Healthcare (China) (CN)
Openalex Percentile: Top 42%
Advanced X-ray and CT Imaging
0.37
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.