CT-based quantification of spatiotemporal heterogeneity for predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer

CT-based spatiotemporal habitat imaging demonstrates clinical utility in predicting pathological response to NAC in LAGC.

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Publication Details

Journal
BMC Medical Imaging
Published
2025-07-01
DOI
https://doi.org/10.1186/s12880-025-01766-2
Citations
2
Primary Topic
Gastric Cancer Management and Outcomes
Type
article
Field-Weighted Citation Impact
3.04
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article

CT-based quantification of spatiotemporal heterogeneity for predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer

Liangjie Lin, Anliang Chen, Ziming Zhang, Changjun Ma et al.
2 citations
BMC Medical Imaging
Gastric Cancer Management and Outcomes
3.04
article

CT-based quantification of spatiotemporal heterogeneity for predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer

Liangjie Lin, Anliang Chen, Ziming Zhang, Changjun Ma, Wenjun Hu, Zhongbao Luo, Ailian Liu
article en
2 citations

Abstract

CT-based spatiotemporal habitat imaging demonstrates clinical utility in predicting pathological response to NAC in LAGC.

BMC Medical ImagingVol. 25(1)
Dalian Medical University (CN), Dalian University of Technology (CN), Philips (China) (CN), Dalian University (CN), First Affiliated Hospital of Dalian Medical University (CN)
Zero hunger
Openalex Percentile: Top 9%
Gastric Cancer Management and Outcomes
3.04
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CT-based quantification of spatiotemporal heterogeneity for predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer — Liangjie Lin, Anliang Chen, et al. · BMC Medical Imaging (2025) | TGRS Research Map | TGRS