BMC Cancer (Feb 2025)

Prediction of pathological response to neoadjuvant immunochemotherapy with baseline and post-treatment 18F-FDG PET imaging biomarkers in patients with locally advanced gastric cancer

  • Mimi Xu,
  • Yafei Zhang,
  • Kui Zhao,
  • Haiping Jiang,
  • Guangfa Wang,
  • Yan Wu,
  • Yu Wang,
  • Nian Liu,
  • Xinhui Su

DOI
https://doi.org/10.1186/s12885-025-13765-1
Journal volume & issue
Vol. 25, no. 1
pp. 1 – 14

Abstract

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Abstract Background Neoadjuvant immunochemotherapy (NICT) has shown promising therapeutic benefits in patients with locally advanced gastric cancer (LAGC). Our study aimed to predict the pathological response to NICT in LAGC before surgery by correlating the metabolic parameters of baseline and post-treatment 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) of the primary lesion with the pathological response following radical surgery. Methods Thirty-six LAGC patients who received three cycles of NICT (combination of sintilimab and CapeOx), followed by radical surgery, were included in this study. Both baseline 18F-FDG PET/CT (bPET) and post-treatment 18F-FDG PET/CT (pPET) were conducted, the metabolic parameters derived from the PET/CT scans, including the maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) on bPET and pPET (bSUVmax and pSUVmax, bMTV and pMTV, bTLG and pTLG), as well as their reductions post-treatment (ΔSUVmax, ΔMTV, and ΔTLG), were assessed for their correlation with treatment efficacy and tumor regression grade (TRG) following NICT. Results Out of the 36 patients, 13 patients had a good response (GR), which included 5 cases with TRG 0 and 8 cases with TRG 1. Conversely, 23 patients exhibited a poor response (PR), with 20 patients having TRG 2 and 3 patients having TRG 3. Univariate analysis revealed that pMTV and pTLG in the GR group were significantly lower compared to the PR group (all p 0.05). Furthermore, bSUVmax, bMTV, bTLG, ΔSUVmax, ΔMTV, and ΔTLG in the TRG 0 group were significantly higher than those in the TRG 1 group (all p 0.05). These thresholds demonstrated high sensitivity (80% for bMTV and 100% for others), specificity (83.9%, 71.0%, 67.7%, 83.9%, 61.3%, and 71.0%), and accuracy (86.1%, 66.7%, 72.2%, 86.1%, 66.7%, and 75.0%) in predicting TRG 0 after NICT, with no statistically significant differences between them after the McNemar test (all p > 0.05). Conclusions Imaging biomarkers from the combination of baseline and post-treatment 18F-FDG PET/CT showed potential in predicting pathological response to NICT in LAGC patients before surgery.

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