Dual‐Phase Enhanced <scp>CT</scp>‐Derived Radiomics Nomogram for Progression‐Free Survival Prediction in Stage <scp>IV</scp> Lung Adenocarcinoma

The Rad-nomogram, employing DPE-CT scans, offers a promising approach to predict PFS in individuals diagnosed with stage IV lung ADC.

Authors

Institutions

Publication Details

Journal
Cancer Medicine
Published
2024-12-01
DOI
https://doi.org/10.1002/cam4.70473
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dual‐Phase Enhanced CT‐Derived Radiomics Nomogram for Progression‐Free Survival Prediction in Stage IV Lung Adenocarcinoma

Guoyue Chen, Zhengjun Dai, Peng Zhou, Jian Yao et al.
1 links
Cancer Medicine
Radiomics and Machine Learning in Medical Imaging
article

Dual‐Phase Enhanced CT‐Derived Radiomics Nomogram for Progression‐Free Survival Prediction in Stage IV Lung Adenocarcinoma

Guoyue Chen, Zhengjun Dai, Peng Zhou, Jian Yao, Haitao Sun, Zhaohui Peng
article en

Abstract

The Rad-nomogram, employing DPE-CT scans, offers a promising approach to predict PFS in individuals diagnosed with stage IV lung ADC.

Cancer MedicineVol. 13(23)
Jinan Central Hospital (CN), Shandong Provincial Hospital (CN), Shandong First Medical University (CN)
Reduced inequalities
Openalex Percentile: Top 61%
Radiomics and Machine Learning in Medical Imaging
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.