Predicting the early response to neoadjuvant chemotherapy in high-grade serous ovarian cancer by intratumoral habitat heterogeneity based on 18F-FDG PET/CT
To explore the predictive value of intratumoral habitat heterogeneity for the early therapeutic response to neoadjuvant chemotherapy (NACT) in patients with high-grade serous ovarian cancer (HGSOC). A total of 258 patients with HGSOC receiving [ The automatic segmentation model had a Dice coefficient of 0.82 and showed excellent performance in the validation cohort. The predictive efficacy of the subregion model in the test dataset was significantly better than that of the traditional model [Area Under the Curve (AUC): 0.83 vs. 0.71, P = 0.007. There was no statistically significant difference between the union model and the subregion model (AUC: 0.89 vs. 0.83, P = 0.077). Radiomics features involved in the modeling were significantly correlated with Ki67 before NACT (pre-Ki67) and the change value of Ki67 before NACT-after IDS(ΔKi67) respectively (P < 0.05). The PET/CT radiomics model based on habitat analysis can effectively predict the early response to NACT in patients with HGSOC, which can be explained by the tumor proliferative activity and provide reliable imaging biomarkers for individualized treatment decisions.