Measurement of enhancement kinetics using heuristic parameters in multiparametric MRI as markers of prostate cancer aggressiveness.

Wei, Cheng, Lang, Stephen, Bidaut, Luc, Doull, Robert, Huang, Zhihong and Nabi, Ghulam (2014) Measurement of enhancement kinetics using heuristic parameters in multiparametric MRI as markers of prostate cancer aggressiveness. In: NCRI Cancer Conference 2014, 2-4th November 2014, Liverpool, UK.

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Item Type:Conference or Workshop contribution (Poster)
Item Status:Live Archive

Abstract

Background

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has been used as a diagnostic modality with known added value in multi-parametric MRI (mp-MRI) characterisation of prostate cancers (PCa). Several methods have been applied to analyse DCE MRI data. The purpose of this study is to assess the ability of mp-MRI for detecting grade of prostate carcinomas in comparison to pathology using heuristic model-free parametric evaluation (wash-in and wash-out slope, etc.) provided by Tissue 4D (Siemens Multi-Modality Work Platform).

Method

21 patients with histologically proven prostate cancer who were scanned at 3T mp-MRI and opted for laparoscopic radical prostatectomy were recruited in this study. Post-prostatectomy pathology reports were considered as reference standard. The pathology specimens were processed by a special method to ensure exact orientation between imaging and slices of section during histopathology. Multi-parametric MRI data including conventional T1 and T2 weighted imaging (T1WI and T2WI), DWI and DCE-MRI was recorded. DCE-MRI was analysed in Tissue 4D using the two different methods: tofts model (Ktrans, kep values and the colour-distribution map for the perfusion parameters); wash-in and –out rates, which were calculated according to the parametric time-concentration curves.

Results

There are 46 lesions detected in pathology of 21 prostatectomy specimen and mp-MRI correctly picked up 33 of them. Smaller lesions (2mm and less) with Gleason grade 3+4 were not identified by DCE-MRI. There was a strong trend towards a positive correlation between grade of cancer and enhancement rate as assessed by toft model.

Conclusion

DCE-MRI with the two difference methods could predict aggressiveness of prostate cancers more than 2mm in size. Smaller lesions and those with Gleason score 7 and less could still be a challenge for multiparamteric MRI detection method.

Keywords:enhancement kinestics, heuristic parameters, multiparametic, MRI, prostate cancer
Subjects:F Physical Sciences > F350 Medical Physics
Divisions:College of Science > School of Computer Science
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ID Code:30707
Deposited On:14 Mar 2018 13:00

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