Performance of prostate multiparametric MRI for prediction of prostate cancer extra-prostatic extension according to NCCN risk categories: implication for surgical planning.


Journal

Minerva urologica e nefrologica = The Italian journal of urology and nephrology
ISSN: 1827-1758
Titre abrégé: Minerva Urol Nefrol
Pays: Italy
ID NLM: 8503649

Informations de publication

Date de publication:
Dec 2020
Historique:
pubmed: 18 3 2020
medline: 23 3 2021
entrez: 18 3 2020
Statut: ppublish

Résumé

Prediction of extra-prostatic extension (EPE) in men undergoing radical prostatectomy (RP) is of utmost importance. Great variability in the performance of multiparametric magnetic resonance imaging (mpMRI) has been reported for prediction of EPE. The present study aimed to determine the diagnostic performance of mpMRI for predicting EPE in different National Comprehensive Cancer Network (NCCN) risk categories. Overall 664 patients who underwent radical prostatectomy with a staging mpMRI were enrolled in this single-center, retrospective study. Patients with mpMRI report non-compliant with PI-RADSv2.0, were excluded. Patients were stratified according to NCCN criteria: very low/low (VLR-LR) to High Risk (HR) in order to assess final pathology EPE rates (focal and established). Sensitivity, specificity, positive and negative predictive values of staging mpMRI were computed in each group. Univariable and multivariable analysis were used to evaluate predictors of positive surgical margins. Pathological evaluation demonstrated established and focal EPE in 60 (9%) and 106 (16%) patients, respectively, while mpMRI suspicion for EPE was present in 180 (27%) patients. Age, preoperative PSA, PSA density, number of positive cores, NCCN groups, prostate volume, mpMRI suspicion for EPE, PIRADSv2.0 and lesion size differed significantly between the patients with any EPE and without EPE (all P≤0.05). The sensitivity of mpMRI in detecting any EPE varied from 12% (95% CI: 0.6-53%) in VLR-LR to 83% (66-93%) in HR while the corresponding values for the specificity were 92% (85-96%) and 63% (45-78%), respectively. Patients with false-negative mpMRI EPE prediction were more likely to have positive surgical margins in univariable (OR: 2.14; CI: 1.18, 3.87) as well as multivariable analysis adjusting for NCCN risk categories (OR: 1.97; CI: 1.08, 3.60). The performance of mpMRI for prediction of EPE varies greatly between different NCCN risk categories with a low positive predicting value in patients at low to favorable intermediate risk and a low negative predictive value in patients at Unfavorable intermediate to high risk PCa. Given that mpMRI EPE misdiagnosis could have a negative impact on oncological and functional outcomes, NCCN risk categories should be considered when interpreting mpMRI findings in PCa patients.

Sections du résumé

BACKGROUND BACKGROUND
Prediction of extra-prostatic extension (EPE) in men undergoing radical prostatectomy (RP) is of utmost importance. Great variability in the performance of multiparametric magnetic resonance imaging (mpMRI) has been reported for prediction of EPE. The present study aimed to determine the diagnostic performance of mpMRI for predicting EPE in different National Comprehensive Cancer Network (NCCN) risk categories.
METHODS METHODS
Overall 664 patients who underwent radical prostatectomy with a staging mpMRI were enrolled in this single-center, retrospective study. Patients with mpMRI report non-compliant with PI-RADSv2.0, were excluded. Patients were stratified according to NCCN criteria: very low/low (VLR-LR) to High Risk (HR) in order to assess final pathology EPE rates (focal and established). Sensitivity, specificity, positive and negative predictive values of staging mpMRI were computed in each group. Univariable and multivariable analysis were used to evaluate predictors of positive surgical margins.
RESULTS RESULTS
Pathological evaluation demonstrated established and focal EPE in 60 (9%) and 106 (16%) patients, respectively, while mpMRI suspicion for EPE was present in 180 (27%) patients. Age, preoperative PSA, PSA density, number of positive cores, NCCN groups, prostate volume, mpMRI suspicion for EPE, PIRADSv2.0 and lesion size differed significantly between the patients with any EPE and without EPE (all P≤0.05). The sensitivity of mpMRI in detecting any EPE varied from 12% (95% CI: 0.6-53%) in VLR-LR to 83% (66-93%) in HR while the corresponding values for the specificity were 92% (85-96%) and 63% (45-78%), respectively. Patients with false-negative mpMRI EPE prediction were more likely to have positive surgical margins in univariable (OR: 2.14; CI: 1.18, 3.87) as well as multivariable analysis adjusting for NCCN risk categories (OR: 1.97; CI: 1.08, 3.60).
CONCLUSIONS CONCLUSIONS
The performance of mpMRI for prediction of EPE varies greatly between different NCCN risk categories with a low positive predicting value in patients at low to favorable intermediate risk and a low negative predictive value in patients at Unfavorable intermediate to high risk PCa. Given that mpMRI EPE misdiagnosis could have a negative impact on oncological and functional outcomes, NCCN risk categories should be considered when interpreting mpMRI findings in PCa patients.

Identifiants

pubmed: 32182231
pii: S0393-2249.20.03688-7
doi: 10.23736/S0393-2249.20.03688-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

746-754

Auteurs

Ugo G Falagario (UG)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA - ugofalagario@gmail.com.
Department of Urology and Organ Transplantation, University of Foggia, Foggia, Italy - ugofalagario@gmail.com.

Ivan Jambor (I)

Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Radiology, University of Turku, Turku, Finland.

Parita Ratnani (P)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Alberto Martini (A)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Patrick-Julien Treacy (PJ)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Ethan Wajswol (E)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Anna Lantz (A)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Department of Urology, Karolinska University Hospital, Solna, Sweden.

George Papastefanou (G)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Rachel Weil (R)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Deron Phillip (D)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Sara Lewis (S)

Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Kenneth Haines (K)

Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Luigi Cormio (L)

Department of Urology and Organ Transplantation, University of Foggia, Foggia, Italy.

Giuseppe Carrieri (G)

Department of Urology and Organ Transplantation, University of Foggia, Foggia, Italy.

Natasha Kyprianou (N)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Peter Wiklund (P)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Department of Urology, Karolinska University Hospital, Solna, Sweden.

Ashutosh K Tewari (AK)

Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

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