| Autor: |
Xiao‐Hui Wu, Zhong‐Tian Ruan, Zhi‐Bin Ke, Fei Lin, Jia‐Yin Chen, Yu‐Ting Xue, Bin Lin, Shao‐Hao Chen, Dong‐Ning Chen, Qing‐Shui Zheng, Xue‐Yi Xue, Yong Wei, Ning Xu |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Cancer Medicine, Vol 13, Iss 14, Pp n/a-n/a (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2045-7634 |
| DOI: |
10.1002/cam4.70001 |
| Popis: |
Abstract Purpose The aim of this study was to assess the potential application of a radiomics features‐based nomogram for predicting therapeutic responses to neoadjuvant chemohormonal therapy (NCHT) in patients with high‐risk non‐metastatic prostate cancer (PCa). Methods Clinicopathologic information was retrospectively collected from 162 patients with high‐risk non‐metastatic PCa receiving NCHT and radical prostatectomy at our center. The postoperative pathological findings were used as the gold standard for evaluating the efficacy of NCHT. The least absolute shrinkage and selection operator (LASSO) was conducted to develop radiomics signature. Multivariate logistic regression analyses were conducted to identify the predictors of a positive pathological response to NCHT, and a nomogram was constructed based on these predictors. Results Sixty‐three patients (38.89%) experienced positive pathological response to NCHT. Receiver operating characteristic analyses showed that the area under the curve (AUC) of periprostatic fat (PPF) radiomics signature was 0.835 (95% CI, 0.754–0.898), while the AUC of intratumoral radiomics signature was 0.822 (95% CI, 0.739–0.888). Multivariate logistic regression analysis revealed that PSA level, PPF radiomics signature and intratumoral radiomics signature were independent predictors of positive pathological response. A nomogram based on these three predictors was constructed. The AUC was 0.908 (95% CI, 0.839–0.954). The Hosmer–Lemeshow goodness‐of‐fit test showed that the nomogram was well calibrated. Decision curve analysis revealed the favorable clinical practicability of the nomogram. The nomogram was successfully validated in the validation cohort. Kaplan–Meier analyses showed that nomogram and positive pathological response were significantly related with survival of PCa. Conclusion The radiomics–clinical nomogram based on mpMRI radiomics features exhibited superior predictive ability for positive pathological response to NCHT in high‐risk non‐metastatic PCa. |
| Databáze: |
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