title: Impact of arterial input function selection on the accuracy of dynamic contrast-enhanced MRI quantitative analysis for the diagnosis of clinically significant prostate cancer.
abstract: Using a limited temporal resolution dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) dataset to assess the impact of the arterial input function (AIF) choice on the transfer constant (K(trans) ) to distinguish prostate carcinoma (PCa) from benign tissue.
  
  
  
  Thirty-eight patients with clinically important peripheral PCa (≥0.5 cc) were retrospectively studied. These patients underwent 1.5T multiparametric prostate MR with PCa and benign regions of interest (ROIs) selected using a visual registration with morphometric reconstruction obtained from radical prostatectomy. Using three pharmacokinetic (PK) analysis software programs, the mean K(trans) of ROIs was computed using three AIFs: an individual AIF (Ind-AIF) and two literature population average AIFs of Weinmann (W-AIF) and of Fritz-Hansen (FH-AIF). A pairwise comparison of the area under the receiver operating characteristic curves (AUROCC) obtained with different AIFs was performed.
  
  
  
  AUROCCs obtained with W-AIF (ranging from 0.801 to 0.843) were significantly higher than FH-AIF (ranging from 0.698 to 0.780, 0.002 ≤ P ≤ 0.045) and similar to or higher than Ind-AIF (ranging from 0.591 to 0.839, 0.014 ≤ P ≤ 0.9). Ind-AIF and FH-AIF provided similar AUROCC (0.34 ≤ P ≤ 0.81). The pairwise correlation of K(trans) values was moderate to very strong when comparing W-AIF with FH-AIF (the Spearman's correlation coefficients [SCCs] ranged from 0.55 to 0.93) and very weak to moderate when comparing W-AIF with Ind-AIF (the SCCs ranged from 0.018 to 0.59) or FH-AIF with Ind-AIF (the SCCs ranged from 0.30 to 0.51).
  
  
  
  W-AIF yielded a higher performance than FH-AIF and a similar or higher performance than Ind-AIF in distinguishing PCa from benign tissue.
authors: Department of Gastrointestinal Imaging, CHU Lille, Université de Lille, Lille, France.|INSERM, U1189, CHU Lille, Université de Lille, Lille, France.
authors: Mustapha
authors: M
authors: Azahaf
authors: Department of Gastrointestinal Imaging, CHU Lille, Université de Lille, Lille, France.
authors: Marc
authors: M
authors: Haberlay
authors: INSERM, U1189, CHU Lille, Université de Lille, Lille, France.
authors: Nacim
authors: N
authors: Betrouni
authors: Department of Gastrointestinal Imaging, CHU Lille, Université de Lille, Lille, France.|INSERM, U1189, CHU Lille, Université de Lille, Lille, France.
authors: Olivier
authors: O
authors: Ernst
authors: Methodolgy and Biostatistics Units, EA2964, UDSL2, CHU Lille, Université de Lille, Lille, France.
authors: Hélène
authors: H
authors: Behal
authors: Methodolgy and Biostatistics Units, EA2964, UDSL2, CHU Lille, Université de Lille, Lille, France.
authors: Alain
authors: A
authors: Duhamel
authors: INSERM, U1189, CHU Lille, Université de Lille, Lille, France.|Department of Urology, CHU Lille, Université de Lille, Lille, France.
authors: Adil
authors: A
authors: Ouzzane
authors: INSERM, U1189, CHU Lille, Université de Lille, Lille, France.|Department of Genitourinary Imaging, CHU Lille, Université de Lille, Lille, France.
authors: Philippe
authors: P
authors: Puech
mesh_terms: D000368:Aged; D000465:Algorithms; D001158:Arteries / Q000473:pathology*; D002277:Carcinoma / Q000000981:diagnostic imaging* / Q000473:pathology; D003287:Contrast Media / Q000737:chemistry / Q000493:pharmacokinetics*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D012372:ROC Curve; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D012984:Software
chemical_list: D003287:Contrast Media
keywords: arterial input function; dynamic contrast-enhanced MRI; pharmacokinetic analysis; prostate cancer