Diffusion weighted imaging-based tumor growth rate for predicting long-term survival in nasopharyngeal carcinoma

BACKGROUND: To explore the prognostic value of tumor special growth rate (TSGR) in patients with NPC and investigate the potential of diffusion-weighted imaging (DWI) habitat analysis as a surrogate marker. METHODS: /s]) of each subregion was calculated. ADC values for diagnosing TSGR and predicting survival were evaluated and validated using 5-fold cross-validation (iterations = 1000) and in an independent cohort. RESULTS: further improved the predictive value of TNM stage (0.663-0.848 vs. 0.631-0.785). CONCLUSION: value may have the rapid-growth potential and were more likely to have a poor prognosis.

Authors

Institutions

Publication Details

Journal
Cancer Imaging
Published
2026-05-09
DOI
https://doi.org/10.1186/s40644-026-01041-9
Primary Topic
Head and Neck Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diffusion weighted imaging-based tumor growth rate for predicting long-term survival in nasopharyngeal carcinoma

Yu Zhao, Xiaoduo Yu, Sai Wang, F Yang et al.
Cancer Imaging
Head and Neck Cancer Studies
article

Diffusion weighted imaging-based tumor growth rate for predicting long-term survival in nasopharyngeal carcinoma

Yu Zhao, Xiaoduo Yu, Sai Wang, F Yang, Meng Lin, Xiaolu Li, Hongmei Zhang, Haoran Wei, Lizhi Xie, Michael Iv, Lin Li, Dehong Luo, Ya Zhang
article en

Abstract

BACKGROUND: To explore the prognostic value of tumor special growth rate (TSGR) in patients with NPC and investigate the potential of diffusion-weighted imaging (DWI) habitat analysis as a surrogate marker. METHODS: /s]) of each subregion was calculated. ADC values for diagnosing TSGR and predicting survival were evaluated and validated using 5-fold cross-validation (iterations = 1000) and in an independent cohort. RESULTS: further improved the predictive value of TNM stage (0.663-0.848 vs. 0.631-0.785). CONCLUSION: value may have the rapid-growth potential and were more likely to have a poor prognosis.

Cancer Imaging
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Cancer Center (US), Stanford University (US)
No poverty
Openalex Percentile: Top 6%
Head and Neck Cancer Studies
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.