Skip to Main Content (Press Enter)

Logo UNITO
  • ×
  • Home
  • Pubblicazioni
  • Progetti
  • Persone
  • Competenze
  • Settori
  • Strutture
  • Terza Missione

UNI-FIND
Logo UNITO

|

UNI-FIND

unito.it
  • ×
  • Home
  • Pubblicazioni
  • Progetti
  • Persone
  • Competenze
  • Settori
  • Strutture
  • Terza Missione
  1. Pubblicazioni

Predictors of Bone Metastases at68Ga-PSMA-11 PET/CT in Hormone-Sensitive Prostate Cancer (HSPC) Patients with Early Biochemical Recurrence or Persistence

Articolo
Data di Pubblicazione:
2022
Abstract:
Prostate-specific-membrane-antigen/positron-emission-tomography (PSMA-PET) can accurately detect disease localizations in prostate cancer (PCa) patients with early biochemical recurrence/persistence (BCR/BCP), allowing for more personalized image-guided treatments in oligometastatic patients with major impact in the case of bone metastases (BM). Therefore, this study aimed to identify predictors of BM at PSMA-PET in early-BCR/BCP hormone-sensitive PCa (HSPC) patients, previously treated with radical intent (radiotherapy or radical prostatectomy ± salvageradiotherapy (SRT)). A retrospective analysis was performed on 44368Ga-PSMA-11-PET/CT scans. The cohort median PSA at PET-scan was 0.60 (IQR: 0.38–1.04) ng/mL. PSMA-PET detection rate was 42.0% (186/443), and distant lesions (M1a/b/c) were found in 17.6% (78/443) of cases. BM (M1b) were present in 9.9% (44/443) of cases, with 70.5% (31/44) showing oligometastatic spread (≤3 PSMA-positive lesions). In the multivariate binary logistic regression model (accuracy: 71.2%, Nagelkerke-R2: 13%), T stage ≥ 3a (OR: 2.52; 95% CI: 1.13–5.60; p = 0.024), clinical setting (previous SRT vs. first-time BCR OR: 2.90; 95% CI: 1.32–6.35; p = 0.008), and PSAdt (OR: 0.93; 95% CI: 0.88–0.99; p = 0.026) were proven to be significant predictors of bone metastases, with a 7% risk increment for each single-unit decrement of PSAdt. These predictors could be used to further refine the indication for PSMA-PET in early BCR/BCP HSPC patients, leading to higher detection rates of bone disease and more personalized treatments.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
bone disease; hormone-sensitive prostate cancer; predictive model; prostatic neoplasm; PSMA PET
Elenco autori:
Rovera G.; Grimaldi S.; Dall'armellina S.; Passera R.; Oderda M.; Iorio G.C.; Guarneri A.; Gontero P.; Ricardi U.; Deandreis D.
Autori di Ateneo:
DEANDREIS Desiree'
GONTERO Paolo
ODERDA Marco
RICARDI Umberto
ROVERA GUIDO
Link alla scheda completa:
https://iris.unito.it/handle/2318/1880507
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/1880507/1059051/diagnostics-12-01309-v2.pdf
Pubblicato in:
DIAGNOSTICS
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 25.6.1.0