Integrative radiopathomics model for predicting progression-free survival in patients with nonmetastatic nasopharyngeal carcinoma

The developed radiopathomics model demonstrated its reliability in predicting PFS for NPC patients. It effectively stratified individual patients into distinct risk groups, providing valuable insights for prognostic assessment.

Authors

Institutions

Publication Details

Journal
Journal of Cancer Research and Clinical Oncology
Published
2024-09-09
DOI
https://doi.org/10.1007/s00432-024-05930-z
Citations
1
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
0.58
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrative radiopathomics model for predicting progression-free survival in patients with nonmetastatic nasopharyngeal carcinoma

Huashan Lin, Xiaoping Yu, Handong Li, Junjun Li et al.
1 citations
Journal of Cancer Research and Clinical Oncology
Head and Neck Cancer Studies
0.58
article

Integrative radiopathomics model for predicting progression-free survival in patients with nonmetastatic nasopharyngeal carcinoma

Huashan Lin, Xiaoping Yu, Handong Li, Junjun Li, Jing Hou, Biao Zeng, Qiang Lu, Xiaochun Yi
article en
1 citations

Abstract

The developed radiopathomics model demonstrated its reliability in predicting PFS for NPC patients. It effectively stratified individual patients into distinct risk groups, providing valuable insights for prognostic assessment.

Journal of Cancer Research and Clinical OncologyVol. 150(9)
Central South University (CN), Department of Pharmaceuticals (IN), Hunan Cancer Hospital (CN)
Openalex Percentile: Top 31%
Head and Neck Cancer Studies
0.58
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.