Predicting treatment response to systemic therapy in advanced gallbladder cancer using multiphase enhanced CT images

Question No effective tools exist for identifying patients who would potentially benefit from systemic therapy in clinical practice. Findings Our combined model allows for predicting treatment response to systemic therapy in advanced gallbladder cancer. Clinical relevance With the help of this model, clinicians could inform patients of the risk of potential ineffective treatment. Such a strategy can reduce unnecessary adverse events and effectively help reallocate societal healthcare resources.

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Publication Details

Journal
European Radiology
Published
2025-05-08
DOI
https://doi.org/10.1007/s00330-025-11645-7
Citations
1
Primary Topic
Cholangiocarcinoma and Gallbladder Cancer Studies
Type
article
Field-Weighted Citation Impact
2.01

Funders

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article

Predicting treatment response to systemic therapy in advanced gallbladder cancer using multiphase enhanced CT images

Ji Wu, Jian Li, Zhigang Zheng, Bo Huang et al.
1 citations
European Radiology
Cholangiocarcinoma and Gallbladder Cancer Studies
2.01
article

Predicting treatment response to systemic therapy in advanced gallbladder cancer using multiphase enhanced CT images

Ji Wu, Jian Li, Zhigang Zheng, Bo Huang, Xiping Shen
article en
1 citations

Abstract

Question No effective tools exist for identifying patients who would potentially benefit from systemic therapy in clinical practice. Findings Our combined model allows for predicting treatment response to systemic therapy in advanced gallbladder cancer. Clinical relevance With the help of this model, clinicians could inform patients of the risk of potential ineffective treatment. Such a strategy can reduce unnecessary adverse events and effectively help reallocate societal healthcare resources.

European RadiologyVol. 35(11)
Shanghai Jiao Tong University (CN), Nantong University (CN), Renji Hospital (CN), Soochow University (CN), Affiliated Hospital of Nantong University (CN), Suzhou Municipal Hospital (CN)
Natural Science Foundation of Suzhou City, National Natural Science Foundation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 16%
Cholangiocarcinoma and Gallbladder Cancer Studies
2.01
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Predicting treatment response to systemic therapy in advanced gallbladder cancer using multiphase enhanced CT images — Ji Wu, Jian Li, et al. · European Radiology (2025) | TGRS Research Map | TGRS