The role of PSMA PET/CT in predicting downgrading in patients with Gleason score 4+4 prostate cancer in prostate biopsy.


Journal

World journal of urology
ISSN: 1433-8726
Titre abrégé: World J Urol
Pays: Germany
ID NLM: 8307716

Informations de publication

Date de publication:
21 May 2024
Historique:
received: 21 11 2023
accepted: 18 04 2024
medline: 21 5 2024
pubmed: 21 5 2024
entrez: 21 5 2024
Statut: epublish

Résumé

To investigate the predictable parameters associated with downgrading in patients with a Gleason score (GS) 8 (4+4) in prostate biopsy after radical prostatectomy. We retrospectively analyzed 62 patients with a GS of 4+4 on prostate biopsy who underwent robotic radical prostatectomy between 2017 and 2022. 38 of 62 (61.2%) were downgraded. In multivariable logistic regression model, Ga-68 prostate-specific membrane antigen (PSMA) positron-emission tomography (PET)/computed tomography (CT) SUV max was independent predictor of downgrading (OR 0.904; p = 0.011) and a Logistic Regression model was constructed using the following formula: Y = 1.465-0.95 (PSMA PET/CT SUV max). The model using this variable correctly predicted the downgrading in 72.6% of patients. The AUC for PSMA PET/CT SUV max was 0.709 the cut off being 8.8. A subgroup analysis was performed in 37 patients who had no other European Association of Urology (EAU) high risk features. 25 out of 37 (67.5%) were downgraded, and 21 of these 25 had organ confined disease. Low PSMA SUV max (<8.1) and percentage of GS 4+4 biopsy cores to cancer bearing cores (45.0%) were independently associated with downgrading to GS 7. PSMA PET/CT can be used to predict downgrading in patients with GS 4+4 PCa. Patients with GS 4+4 disease, but no other EAU high risk features, low percentage of GS 4+4 biopsy cores to cancer bearing cores, and a low PSMA PET/CT SUV max are associated with a high likelihood of the cancer reclassification to intermediate risk group.

Sections du résumé

BACKGROUND BACKGROUND
To investigate the predictable parameters associated with downgrading in patients with a Gleason score (GS) 8 (4+4) in prostate biopsy after radical prostatectomy.
METHODS METHODS
We retrospectively analyzed 62 patients with a GS of 4+4 on prostate biopsy who underwent robotic radical prostatectomy between 2017 and 2022.
RESULTS RESULTS
38 of 62 (61.2%) were downgraded. In multivariable logistic regression model, Ga-68 prostate-specific membrane antigen (PSMA) positron-emission tomography (PET)/computed tomography (CT) SUV max was independent predictor of downgrading (OR 0.904; p = 0.011) and a Logistic Regression model was constructed using the following formula: Y = 1.465-0.95 (PSMA PET/CT SUV max). The model using this variable correctly predicted the downgrading in 72.6% of patients. The AUC for PSMA PET/CT SUV max was 0.709 the cut off being 8.8. A subgroup analysis was performed in 37 patients who had no other European Association of Urology (EAU) high risk features. 25 out of 37 (67.5%) were downgraded, and 21 of these 25 had organ confined disease. Low PSMA SUV max (<8.1) and percentage of GS 4+4 biopsy cores to cancer bearing cores (45.0%) were independently associated with downgrading to GS 7.
CONCLUSION CONCLUSIONS
PSMA PET/CT can be used to predict downgrading in patients with GS 4+4 PCa. Patients with GS 4+4 disease, but no other EAU high risk features, low percentage of GS 4+4 biopsy cores to cancer bearing cores, and a low PSMA PET/CT SUV max are associated with a high likelihood of the cancer reclassification to intermediate risk group.

Identifiants

pubmed: 38771329
doi: 10.1007/s00345-024-05012-2
pii: 10.1007/s00345-024-05012-2
doi:

Substances chimiques

FOLH1 protein, human 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

341

Informations de copyright

© 2024. The Author(s).

Références

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Auteurs

Ibrahim Can Aykanat (IC)

Department of Urology, Koc University Hospital, Zeytinburnu, 34010, Istanbul, Turkey. canaykanat89@gmail.com.

Yakup Kordan (Y)

Department of Urology, Koc University School of Medicine, Istanbul, Turkey.

Hulya Seymen (H)

Department of Nuclear Medicine, Koc University School of Medicine, Istanbul, Turkey.

Ersin Koseoglu (E)

Department of Urology, Koc University School of Medicine, Istanbul, Turkey.

Arif Ozkan (A)

Department of Urology, Koc University Hospital, Zeytinburnu, 34010, Istanbul, Turkey.

Baris Esen (B)

Department of Urology, Koc University Hospital, Zeytinburnu, 34010, Istanbul, Turkey.

Kayhan Tarim (K)

Department of Urology, Koc University School of Medicine, Istanbul, Turkey.

Ibrahim Kulac (I)

Department of Pathology, Koc University School of Medicine, Istanbul, Turkey.

Okan Falay (O)

Department of Nuclear Medicine, Koc University School of Medicine, Istanbul, Turkey.

Bengi Gurses (B)

Department of Radiology, Koc University School of Medicine, Istanbul, Turkey.

Dilek Ertoy Baydar (DE)

Department of Pathology, Koc University School of Medicine, Istanbul, Turkey.

Abdullah Erdem Canda (AE)

Department of Urology, Koc University School of Medicine, Istanbul, Turkey.
Rahmi M. Koc Academy of Interventional Medicine, Education and Simulation, RMK AIMES, Istanbul, Turkey.

Mevlana Derya Balbay (MD)

Department of Urology, Koc University School of Medicine, Istanbul, Turkey.
Urology Clinic, VKF American Hospital, Istanbul, Turkey.

Mehmet Onur Demirkol (MO)

Department of Nuclear Medicine, Koc University School of Medicine, Istanbul, Turkey.

Tarik Esen (T)

Department of Urology, Koc University School of Medicine, Istanbul, Turkey.
Urology Clinic, VKF American Hospital, Istanbul, Turkey.

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