ArticleBMC cancer2023
The role of computed tomography features in assessing response to neoadjuvant chemotherapy in locally advanced gastric cancer.
Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 7 citations in OpenAlex.
- Trial
- Pretreatment multiphasic contrast-enhanced CT predicts tumor regression grade and survival in locally advanced gastric cancer.Abdominal radiology (New York) · 2026Article
- Discordance in tumour response assessment for gastric cancer after neoadjuvant chemotherapy using different methods.Abdominal radiology (New York) · 2026Article
- Artificial intelligence and machine learning-driven advancements in gastrointestinal cancer: Paving the way for precision medicine.World journal of gastroenterology · 2026Review
- Preoperative prediction and localization of synchronous metastases in colon cancer: the role of CECT combined with clinical characteristics.BMC cancer · 2025Article
- CT-based quantification of spatiotemporal heterogeneity for predicting response to neoadjuvant chemotherapy in locally advanced gastric cancer.BMC medical imaging · 2025Article
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Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo compare the computed tomography (CT) images of patients with locally advanced gastric cancer (GC) before and after neoadjuvant chemotherapy (NAC) in order to identify CT features that could predict pathological response to NAC.
methodsWe included patients with locally advanced GC who underwent gastrectomy after NAC from September 2016 to September 2021. We retrieved and collected the patients' clinicopathological characteristics and CT images before and after NAC. We analyzed CT features that could differentiate responders from non-responders and established a logistic regression equation based on these features.
resultsWe included 97 patients (69 [71.1%] men; median [range] age, 60 [26-75] years) in this study, including 66 (68.0%) responders and 31 (32.0%) non-responders. No clinicopathological variable prior to treatment was significantly associated with pathological response. Out of 16 features, three features (ratio of tumor thickness reduction, ratio of reduction of primary tumor attenuation in arterial phase, and ratio of reduction of largest lymph node attenuation in venous phase) on logistic regression analysis were used to establish a regression equation that demonstrated good discrimination performance in predicting pathological response (area under receiver operating characteristic curve 0.955; 95% CI, 0.911-0.998).
conclusionLogistic regression equation based on three CT features can help predict the pathological response of patients with locally advanced GC to NAC.
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