| Autor: |
Hu, Bing, Deng, Ying, Chen, Jingbiao, Kuang, Sichi, Tang, Wenjie, He, Bingjun, Zhang, Linqi, Xiao, Yuanqiang, Chen, Jun, Rossman, Phillip, Arani, Arvin, Yin, Ziying, Glaser, Kevin J., Yin, Meng, Venkatesh, Sudhakar K., Ehman, Richard L., Wang, Jin |
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| Zdroj: |
Abdominal Radiology; Jul2021, Vol. 46 Issue 7, p3387-3400, 14p |
| Abstrakt: |
Purpose: To assess the relationship between MRE stiffness of prostate cancer (PCa) and the extent of lymph node metastasis (LNM) in patients with PCa undergoing radical prostatectomy (RP) and extended pelvic lymph node dissection (ePLND). Materials: The local institutional review board approved this retrospective study. We retrospectively analyzed 49 patients, who had undergone MRE, mpMRI and pelvic MRI on a 3.0 T MRI scanner, with histopathological confirmed PCa after RP (from June 2015 to December 2019). For each patient, preoperative clinical data and characteristics of MRE, mpMRI and pelvic MRI were recorded. Independent-samples t test, univariate and multivariate logistic regression analyses were performed. And receiver operating characteristic (ROC) analysis were performed to compare the diagnostic performances of multivariate models with the Briganti 2019 nomogram. Results: PCa MRE stiffness and maximum diameter were independent predictors of LNM. When PCa MRE stiffness at 60 Hz (odds ratio [OR] = 20.223, P = 0.013) and maximum diameter (OR = 4.575, P = 0.046) were combined, the sensitivity and specificity were 100% and 91.9% to predict LNM. When PCa MRE stiffness at 90 Hz (OR = 7.920, P = 0.013) and maximum diameter (OR = 2.810, P = 0.045) were combined, the sensitivity and specificity were 100% and 86.5% to predict LNM. The areas under curves (AUCs) of the combinations were higher than the AUC of the Briganti 2019 nomogram (0.982 vs. 0.904, P = 0.040 [60 Hz]; 0.975 vs. 0.904, P = 0.060 [90 Hz], respectively). Conclusions: MRE-based assessment of PCa stiffness may be useful for predicting LNM of PCa preoperatively and noninvasively. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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