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Diagnostic value of 18F-PSMA-1007 PET/CT in seminal vesicle invasion of prostate cancer / 中华核医学与分子影像杂志
Chinese Journal of Nuclear Medicine and Molecular Imaging ; (6): 523-527, 2023.
Artículo en Chino | WPRIM | ID: wpr-993629
ABSTRACT

Objective:

To evaluate the diagnostic value of the 18F-prostate specific membrane antigen (PSMA)-1007 PET/CT in seminal vesicle invasion (SVI) of prostate cancer.

Methods:

Clinical and pathological materials of 88 patients (age 51-84 years) who underwent radical prostatectomy (RP) between May 2019 and December 2021 in the First Affiliated Hospital of Xi′an Jiaotong University were analyzed retrospectively. All patients underwent 18F-PSMA-1007 PET/CT examination for primary staging before surgery. The diagnostic efficiency of 18F-PSMA-1007 PET/CT in SVI was obtained using postoperative pathological results as the " gold standard" and ROC curve was drawn. Furthermore, univariate and multivariate logistic regression analyses were used to screen the influencing factors for 18F-PSMA-1007 PET/CT prediction of SVI.

Results:

The accuracy, sensitivity, specificity, positive predictive value and negative predictive value of 18F-PSMA-1007 PET/CT in diagnosing SVI were 79.55%(70/88), 72.73%(16/22), 81.82%(54/66), 57.14%(16/28) and 90.00%(54/60), respectively. The ROC AUC was 0.77. Results of univariate logistic regression showed that total prostate specific antigen (tPSA), primary SUV max, Gleason score, International Society of Urological Pathology (ISUP) grade group were associated with 18F-PSMA-1007 PET/CT prediction of SVI. Results of multivariate logistic regression showed that Gleason score (odds ratio ( OR)=2.04, 95% CI 1.19-3.50, P=0.009) was a predictor of SVI in prostate cancer.

Conclusion:

18F-PSMA-1007 PET/CT has certain diagnostic value in SVI of prostate cancer, and combining with Gleason score can improve the diagnostic efficiency.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Nuclear Medicine and Molecular Imaging Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Idioma: Chino Revista: Chinese Journal of Nuclear Medicine and Molecular Imaging Año: 2023 Tipo del documento: Artículo