Literature DB >> 32192081

Assessment of DCE Utility for PCa Diagnosis Using PI-RADS v2.1: Effects on Diagnostic Accuracy and Reproducibility.

Valentina Brancato1, Giuseppe Di Costanzo2, Luca Basso1, Liberatore Tramontano1, Marta Puglia2, Alfonso Ragozzino2, And Carlo Cavaliere1.   

Abstract

The role of dynamic contrast-enhanced-MRI (DCE-MRI) for Prostate Imaging-Reporting and Data System (PI-RADS) scoring is a controversial topic. In this retrospective study, we aimed to measure the added value of DCE-MRI in combination with T2-weighted (T2W) and diffusion-weighted imaging (DWI) using PI-RADS v2.1, in terms of reproducibility and diagnostic accuracy, for detection of prostate cancer (PCa) and clinically significant PCa (CS-PCa, for Gleason Score ≥ 7). 117 lesions in 111 patients were identified as suspicion by multiparametric MRI (mpMRI) and addressed for biopsy. Three experienced readers independently assessed PI-RADS score, first using biparametric MRI (bpMRI, including DWI and T2W), and then multiparametric MRI (also including DCE). The inter-rater and inter-method agreement (bpMRI- vs. mpMRI-based scores) were assessed by Cohen's kappa (κ). Receiver operating characteristics (ROC) analysis was performed to evaluate the diagnostic accuracy for PCa and CS-PCa detection among the two scores. Inter-rater agreement was excellent for the three pairs of readers (κ ≥ 0.83), while the inter-method agreement was good (κ ≥ 0.73). Areas under the ROC curve (AUC) showed similar high-values (0.8 ≤ AUC ≤ 0.85). The reproducibility of PI-RADS v2.1 scoring was comparable and high among readers, without relevant differences, depending on the MRI protocol used. The inclusion of DCE did not influence the diagnostic accuracy.

Entities:  

Keywords:  DCE; PI-RADS; ROC analysis; magnetic resonance imaging; mpMRI; prostate cancer; reproducibility

Year:  2020        PMID: 32192081     DOI: 10.3390/diagnostics10030164

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  8 in total

1.  Biparametric prostate MRI: impact of a deep learning-based software and of quantitative ADC values on the inter-reader agreement of experienced and inexperienced readers.

Authors:  Stefano Cipollari; Martina Pecoraro; Alì Forookhi; Ludovica Laschena; Marco Bicchetti; Emanuele Messina; Sara Lucciola; Carlo Catalano; Valeria Panebianco
Journal:  Radiol Med       Date:  2022-09-17       Impact factor: 6.313

Review 2.  Lymph Nodes Evaluation in Rectal Cancer: Where Do We Stand and Future Perspective.

Authors:  Alessandra Borgheresi; Federica De Muzio; Andrea Agostini; Letizia Ottaviani; Alessandra Bruno; Vincenza Granata; Roberta Fusco; Ginevra Danti; Federica Flammia; Roberta Grassi; Francesca Grassi; Federico Bruno; Pierpaolo Palumbo; Antonio Barile; Vittorio Miele; Andrea Giovagnoni
Journal:  J Clin Med       Date:  2022-05-05       Impact factor: 4.964

3.  Usefulness of Collaborative Work in the Evaluation of Prostate Cancer from MRI.

Authors:  Christian Mata; Paul Walker; Arnau Oliver; Joan Martí; Alain Lalande
Journal:  Clin Pract       Date:  2022-05-20

Review 4.  PI-RADSv2.1: Current status.

Authors:  Stephanie M Walker; Barış Türkbey
Journal:  Turk J Urol       Date:  2020-10-09

5.  Diagnostic value of integrated 18F-PSMA-1007 PET/MRI compared with that of biparametric MRI for the detection of prostate cancer.

Authors:  Yuping Zeng; Xiaoming Leng; Hengbin Liao; Guihua Jiang; Ping Chen
Journal:  Prostate Int       Date:  2022-03-28

6.  Evaluation of a multiparametric MRI radiomic-based approach for stratification of equivocal PI-RADS 3 and upgraded PI-RADS 4 prostatic lesions.

Authors:  Valentina Brancato; Marco Aiello; Luca Basso; Serena Monti; Luigi Palumbo; Giuseppe Di Costanzo; Marco Salvatore; Alfonso Ragozzino; Carlo Cavaliere
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

Review 7.  Current Status of Biparametric MRI in Prostate Cancer Diagnosis: Literature Analysis.

Authors:  Mason James Belue; Enis Cagatay Yilmaz; Asha Daryanani; Baris Turkbey
Journal:  Life (Basel)       Date:  2022-05-28

8.  Inter-reader agreement of the prostate imaging reporting and data system version v2.1 for detection of prostate cancer: A systematic review and meta-analysis.

Authors:  Jing Wen; Yugang Ji; Jing Han; Xiaocui Shen; Yi Qiu
Journal:  Front Oncol       Date:  2022-09-29       Impact factor: 5.738

  8 in total

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