Assessment of DCE utility for PCA diagnosis using PI‐RADS v2.1: Effects on diagnostic accuracy and reproducibility

Valentina Brancato, Giuseppe Di Costanzo, Luca Basso, Liberatore Tramontano, Marta Puglia, Alfonso Ragozzino, Carlo Cavaliere

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number164
JournalDiagnostics
Volume10
Issue number3
DOIs
Publication statusPublished - 2020

Keywords

  • DCE
  • Magnetic resonance imaging
  • MpMRI
  • PI‐RADS
  • Prostate cancer
  • Reproducibility
  • ROC analysis

ASJC Scopus subject areas

  • Clinical Biochemistry

Fingerprint

Dive into the research topics of 'Assessment of DCE utility for PCA diagnosis using PI‐RADS v2.1: Effects on diagnostic accuracy and reproducibility'. Together they form a unique fingerprint.

Cite this