Impact of arterial input function selection on the accuracy of dynamic contrast-enhanced MRI quantitative analysis for the diagnosis of clinically significant prostate cancer.

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 J Magn Reson Imaging 2015.

Journal of magnetic resonance imaging : JMRI 2015 Aug 25 [Epub ahead of print]

Azahaf Mustapha, Haberley Marc, Betrouni Nacim, Ernst Olivier, Behal Hélène, Duhamel Alain, Ouzzane Adil, Puech Philippe

Department of Gastrointestinal Imaging, CHU Lille, Université de Lille, Lille, France , Department of Gastrointestinal Imaging, CHU Lille, Université de Lille, Lille, France , INSERM, U1189, CHU Lille, Université de Lille, Lille, France , Department of Gastrointestinal Imaging, CHU Lille, Université de Lille, Lille, France , Methodolgy and Biostatistics Units, EA2964, UDSL2, CHU Lille, Université de Lille, Lille, France , Methodolgy and Biostatistics Units, EA2964, UDSL2, CHU Lille, Université de Lille, Lille, France , INSERM, U1189, CHU Lille, Université de Lille, Lille, France , INSERM, U1189, CHU Lille, Université de Lille, Lille, France

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