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Predictive accuracy and clinical benefit of a nomogram aimed to predict 68Ga-PSMA PET/CT positivity in patients with prostate cancer recurrence and PSA < 1 ng/ml external validation on a single institution database
- Source :
- European Journal of Nuclear Medicine and Molecular Imaging. 47:2100-2105
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- PURPOSE: To perform an external validation of a recently published nomogram aimed to predict positive 68Ga-PSMA-11 PET/CT in patients with biochemical recurrence (BCR) after radical prostatectomy (RP) by Rauscher et al. (Eur Urol 73(5):656-661, 2018). METHODS: Overall, 413 PCa patients with BCR after RP (two consecutive PSA ≥ 0.2 ng/ml) and PSA value between 0.2 and 1 ng/ml were included. A multivariable logistic regression model was produced to assess the predictors of positive 68Ga-PSMA-11 PET/CT results. The performance characteristics of the model were assessed by quantifying the predictive accuracy, according to model calibration. Yuden's index was used to find the best nomogram's cut-off. Finally, decision curve analysis (DCA) was implemented to quantify the nomogram's clinical value. RESULTS: In the external cohort, the overall detection rate of 68Ga-PSMA-11 PET/CT was 44% vs. 64.7% in the original population. At multivariate analysis, PSA at 68Ga-PSMA-11 PET/CT (OR: 7.06, p 35%. CONCLUSION: We assessed similar suboptimal predictive accuracies in the external cohort compared to the original one. PSA and ongoing ADT were confirmed as positive predictors, and the most informative nomogram cut-off resulted 35%.
- Subjects :
- Biochemical recurrence
medicine.medical_specialty
PSMA PET
Multivariate analysis
Nomogram
PSMA
PSMA nomogram
Salvage therapy
medicine.medical_treatment
Population
Urology
urologic and male genital diseases
Logistic regression
Prostate cancer
medicine
Radiology, Nuclear Medicine and imaging
education
education.field_of_study
Prostatectomy
business.industry
General Medicine
medicine.disease
Cohort
business
Subjects
Details
- ISSN :
- 16197089 and 16197070
- Volume :
- 47
- Database :
- OpenAIRE
- Journal :
- European Journal of Nuclear Medicine and Molecular Imaging
- Accession number :
- edsair.doi.dedup.....31d304d68fd3f5468651061b48d0cb78