A nomogram based on quantitative MR signal intensity predicts early response to combined systemic treatment in patients with hepatocellular carcinoma

The nomogram based on rSI_ap has the potential to be a non-invasive tool for predicting disease control in advanced HCC patients who have received combined anti-angiogenesis and ICI therapies.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2025-03-13
DOI
https://doi.org/10.3389/fonc.2025.1527108
Citations
1
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
1.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A nomogram based on quantitative MR signal intensity predicts early response to combined systemic treatment in patients with hepatocellular carcinoma

Xiangwen Xia, Haohao Lu, Xiangjun Dong, Ran Tao et al.
1 citations
Frontiers in Oncology
Hepatocellular Carcinoma Treatment and Prognosis
1.32
article

A nomogram based on quantitative MR signal intensity predicts early response to combined systemic treatment in patients with hepatocellular carcinoma

Xiangwen Xia, Haohao Lu, Xiangjun Dong, Ran Tao, Hongjie Fan, Zhaoming Tang, Qian Ren
article en
1 citations

Abstract

The nomogram based on rSI_ap has the potential to be a non-invasive tool for predicting disease control in advanced HCC patients who have received combined anti-angiogenesis and ICI therapies.

Frontiers in OncologyVol. 15
Union Hospital (HK), Wuhan Union Hospital (CN), Huazhong University of Science and Technology (CN)
Good health and well-being
Openalex Percentile: Top 23%
Hepatocellular Carcinoma Treatment and Prognosis
1.32
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.