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The association of quantitative PSMA PET parameters with pathologic ISUP grade: an international multicenter analysis.
Soeterik, Timo F W; Heetman, Joris G; Hermsen, Rick; Wever, Lieke; Lavalaye, Jules; Vinken, Maarten; Bahler, Clinton D; Yong, Courtney; Tann, Mark; Kesch, Claudia; Seifert, Robert; Telli, Tugce; Chiu, Peter Ka-Fung; Wu, Kwan Kit; Zattoni, Fabio; Evangelista, Laura; Segalla, Emma; Barone, Antonio; Ceci, Francesco; Rajwa, Pawel; Marra, Giancarlo; Mazzone, Elio; Van Basten, Jean-Paul A; Van Melick, Harm H E; Van den Bergh, Roderick C N; Gandaglia, Giorgio.
Afiliação
  • Soeterik TFW; Department of Urology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands. timo142@gmail.com.
  • Heetman JG; Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands. timo142@gmail.com.
  • Hermsen R; Department of Urology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands.
  • Wever L; Department of Nuclear Medicine, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands.
  • Lavalaye J; Department of Urology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands.
  • Vinken M; Department of Nuclear Medicine, St. Antonius Hospital, Nieuwegein/Utrecht, The Netherlands.
  • Bahler CD; Department of Nuclear Medicine, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands.
  • Yong C; Department of Urology, Indiana University Medical Center, Indianapolis, IN, USA.
  • Tann M; Department of Urology, Indiana University Medical Center, Indianapolis, IN, USA.
  • Kesch C; Department of Radiology and Imaging Sciences, Indiana University Medical Center, Indianapolis, IN, USA.
  • Seifert R; Department of Urology, University Hospital Essen, Essen German Cancer Consortium (DKTK) University Hospital Essen, Essen, Germany.
  • Telli T; Department of Nuclear Medicine, Inselspital, Bern University Hospital, Bern, Switzerland.
  • Chiu PK; Department of Nuclear Medicine, University Hospital Essen, Essen, Germany.
  • Wu KK; Department of Nuclear Medicine, University Hospital Essen, Essen, Germany.
  • Zattoni F; S. H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China.
  • Evangelista L; Department of Nuclear Medicine and PET, Hong Kong Sanatorium and Hospital, Hong Kong, China.
  • Segalla E; Department of Surgery, Oncology, and Gastroenterology, Urological Unit, University of Padova, Padua, Italy.
  • Barone A; Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.
  • Ceci F; Division of Nuclear Medicine, IRCCS Humanitas Research Hospital, Milan, Italy.
  • Rajwa P; Department of Surgery, Oncology, and Gastroenterology, Urological Unit, University of Padova, Padua, Italy.
  • Marra G; Division of Nuclear Medicine and Theranostics, IEO European Institute of Oncology, IRCCS, Milan, Italy.
  • Mazzone E; Division of Nuclear Medicine and Theranostics, IEO European Institute of Oncology, IRCCS, Milan, Italy.
  • Van Basten JA; Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
  • Van Melick HHE; Department of Urology, Medical University of Silesia, Zabrze, Poland.
  • Van den Bergh RCN; University Hospital S Giovanni Battista, Azienda Ospedaliero Universitaria Città Della Salute E Della Scienza Di Torino, Turin, Italy.
  • Gandaglia G; Division of Oncology/Unit of Urology, Soldera Prostate Cancer Lab, URI, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Article em En | MEDLINE | ID: mdl-39088067
ABSTRACT

PURPOSE:

To assess if PSMA PET quantitative parameters are associated with pathologic ISUP grade group (GG) and upgrading/downgrading.

METHODS:

PCa patients undergoing radical prostatectomy with or without pelvic lymph node dissection staged with preoperative PSMA PET at seven referral centres worldwide were evaluated. PSMA PET parameters which included SUVmax, PSMAvolume, and total PSMA accumulation (PSMAtotal) were collected. Multivariable logistic regression evaluated the association between PSMA PET quantified parameters and surgical ISUP GG. Decision-tree analysis was performed to identify discriminative thresholds for all three parameters related to the five ISUP GGs The ROC-derived AUC was used to determine whether the inclusion of PSMA quantified parameters improved the ability of multivariable models to predict ISUP GG ≥ 4.

RESULTS:

A total of 605 patients were included. Overall, 2%, 37%, 37%, 10% and 13% patients had pathologic ISUP GG1, 2, 3, 4, and 5, respectively. At multivariable analyses, all three parameters SUVmax, PSMAvolume and PSMAtotal were associated with GG ≥ 4 at surgical pathology after accounting for PSA and clinical T stage based on DRE, hospital and radioligand (all p < 0.05). Addition of all three parameters significantly improved the discrimination of clinical models in predicting GG ≥ 4 from 68% (95%CI 63 - 74) to 74% (95%CI 69 - 79) for SUVmax, 72% (95%CI 67 - 76) for PSMAvolume, 74% (70 - 79) for PSMAtotal and 75% (95%CI 71 - 80) when all parameters were included (all p < 0.05). Decision-tree analysis resulted in thresholds that discriminate between GG (SUVmax 0-6.5, 6.5-15, 15-28, > 28, PSMAvol 0-2, 2-9, 9-20 and > 20 and PSMAtotal 0-12, 12-98 and > 98). PSMAvolume was significantly associated with GG upgrading (OR 1.03 95%CI 1.01 - 1.05). In patients with biopsy GG1-3, PSMAvolume ≥ 2 was significantly associated with higher odds for upgrading to ISUP GG ≥ 4, compared to PSMAvolume < 2 (OR 6.36, 95%CI 1.47 - 27.6).

CONCLUSION:

Quantitative PSMA PET parameters are associated with surgical ISUP GG and upgrading. We propose clinically relevant thresholds of these parameters which can improve in PCa risk stratification in daily clinical practice.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article