MRI-Derived Apparent Diffusion Coefficient of Peri-Prostatic Adipose Tissue Is a Potential Determinant of Prostate Cancer Aggressiveness in Preoperative Setting: A Preliminary Report
Alessandro Tafuri (),
Andrea Panunzio,
Federico Greco,
Antonella Maglietta,
Francesco De Carlo,
Federica Di Cosmo,
Elia Luperto,
Mino Rizzo,
Arturo Cavaliere,
Rita De Mitri,
Federico Zacheo,
Marco Baviello,
Alessandra Cimino,
Marco Pisino,
Luca Giordano,
Caterina Accettura,
Antonio Benito Porcaro,
Alessandro Antonelli,
Maria Angela Cerruto,
Elisa Ciurlia,
Silvana Leo (),
Luigi Giuseppe Quarta and
Vincenzo Pagliarulo
Additional contact information
Alessandro Tafuri: Department of Urology, “Vito Fazzi” Hospital, Piazza Filippo Muratore, 1, 73100 Lecce, Italy
Andrea Panunzio: Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata di Verona, 37126 Verona, Italy
Federico Greco: U.O.C. Diagnostica per Immagini Territoriale Aziendale, Cittadella della Salute Azienda Sanitaria Locale di Lecce, Piazza Filippo Bottazzi, 73100 Lecce, Italy
Antonella Maglietta: Department of Pathology, “Vito Fazzi” Hospital, 73100 Lecce, Italy
Francesco De Carlo: Department of Urology, “Vito Fazzi” Hospital, Piazza Filippo Muratore, 1, 73100 Lecce, Italy
Federica Di Cosmo: Department of Urology, “Vito Fazzi” Hospital, Piazza Filippo Muratore, 1, 73100 Lecce, Italy
Elia Luperto: Department of Urology, “Vito Fazzi” Hospital, Piazza Filippo Muratore, 1, 73100 Lecce, Italy
Mino Rizzo: Department of Urology, “Vito Fazzi” Hospital, Piazza Filippo Muratore, 1, 73100 Lecce, Italy
Arturo Cavaliere: Department of Urology, “Vito Fazzi” Hospital, Piazza Filippo Muratore, 1, 73100 Lecce, Italy
Rita De Mitri: Department of Urology, “Vito Fazzi” Hospital, Piazza Filippo Muratore, 1, 73100 Lecce, Italy
Federico Zacheo: Department of Urology, “Vito Fazzi” Hospital, Piazza Filippo Muratore, 1, 73100 Lecce, Italy
Marco Baviello: Department of Urology, “Vito Fazzi” Hospital, Piazza Filippo Muratore, 1, 73100 Lecce, Italy
Alessandra Cimino: Department of Nuclear Medicine, “Vito Fazzi” Hospital, 73100 Lecce, Italy
Marco Pisino: Department of Oncology, “Vito Fazzi” Hospital, Piazza Filippo Muratore 1, 73100 Lecce, Italy
Luca Giordano: Department of Radiology, “Vito Fazzi” Hospital, 73100 Lecce, Italy
Caterina Accettura: Department of Oncology, “Vito Fazzi” Hospital, Piazza Filippo Muratore 1, 73100 Lecce, Italy
Antonio Benito Porcaro: Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata di Verona, 37126 Verona, Italy
Alessandro Antonelli: Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata di Verona, 37126 Verona, Italy
Maria Angela Cerruto: Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata di Verona, 37126 Verona, Italy
Elisa Ciurlia: Department of Radiation Therapy, “Vito Fazzi” Hospital, 73100 Lecce, Italy
Silvana Leo: Department of Oncology, “Vito Fazzi” Hospital, Piazza Filippo Muratore 1, 73100 Lecce, Italy
Luigi Giuseppe Quarta: U.O.C. Diagnostica per Immagini Territoriale Aziendale, Cittadella della Salute Azienda Sanitaria Locale di Lecce, Piazza Filippo Bottazzi, 73100 Lecce, Italy
Vincenzo Pagliarulo: Department of Urology, “Vito Fazzi” Hospital, Piazza Filippo Muratore, 1, 73100 Lecce, Italy
IJERPH, 2022, vol. 19, issue 23, 1-11
Abstract:
Background: The aim of this study was to test the association between periprostatic adipose tissue (PPAT)—apparent diffusion coefficient (ADC) value recorded at multiparametric magnetic resonance imaging (mpMRI) and determinants of prostate cancer (PCa) aggressiveness in the preoperative setting. Methods: Data from 219 consecutive patients undergoing prostate biopsy (PBx) for suspicion of PCa, between January 2020 and June 2022, at our institution were retrospectively evaluated. Only patients who had mpMRI performed before PBx were included. The distribution of demographics and clinical features among PPAT-ADC values up to vs. above the median was studied using both parametric and non-parametric tests, according to variables. Linear and logistic regression models tested the association between PPAT-ADC values and determinants of PCa aggressiveness and the presence of intermediate-high risk PCa, respectively. Results: Of 132 included patients, 76 (58%) had PCa. Median PPAT-ADC was 876 (interquartile range: 654 − 1112) × 10 −6 mm 2 /s. Patients with PPAT-ADC up to the median had a higher rate of PIRADS (Prostate Imaging—Reporting and Data System) 5 lesions (41% vs. 23%, p = 0.032), a higher percentage of PBx positive cores (25% vs. 6%, p = 0.049) and more frequently harbored ISUP (International Society of Urological Pathology) > 1 PCa (50% vs. 28%, p = 0.048). At univariable linear regression analyses, prostate-specific antigen (PSA), PSA density, PIRADS 5, and percentage of PBx positive cores were associated with lower PPAT-ADC values. PPAT-ADC up to the median was an independent predictor for intermediate-high risk PCa (odds ratio: 3.24, 95%CI: 1.17–9.46, p = 0.026) after adjustment for age and body mass index. Conclusions: Lower PPAT-ADC values may be associated with higher biopsy ISUP grade group PCa and a higher percentage of PBx-positive cores. Higher-level studies are needed to confirm these preliminary results.
Keywords: prostate biopsy; prostate cancer; MRI; ADC; periprostatic adipose tissue (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1660-4601/19/23/15996/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/23/15996/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:23:p:15996-:d:988962
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().