4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study

被引:5
|
作者
Beer, Lucian [1 ,2 ,3 ]
Polanec, Stephan H. [1 ]
Baltzer, Pascal A. T. [1 ]
Schatzl, Georg [4 ]
Georg, Dietmar [5 ,6 ]
Schestak, Christian [1 ]
Dutschke, Anja [1 ]
Herrmann, Harald [5 ]
Mazal, Peter [7 ]
Brendel, Alexander K. [7 ]
Shariat, Shahrokh F. [4 ]
Ringl, Helmut [1 ]
Helbich, Thomas H. [1 ]
Apfaltrer, Paul [1 ,8 ]
机构
[1] Med Univ Vienna, Dept Biomed Imaging & Image Guided Therapy, Vienna, Austria
[2] Dept Radiol, Cambridge, England
[3] Canc Res UK Cambridge Ctr, Cambridge, England
[4] Med Univ Vienna, Dept Urol, Vienna, Austria
[5] Med Univ Vienna, Dept Radiat Oncol, Vienna, Austria
[6] Med Univ Vienna, Christian Doppler Lab Med Radiat Res Radiat Oncol, Vienna, Austria
[7] Med Univ Vienna, Clin Inst Pathol, Vienna, Austria
[8] Heidelberg Univ, Univ Med Ctr Mannheim, Med Fac Mannheim, Dept Neuroradiol, Mannheim, Germany
来源
PLOS ONE | 2019年 / 14卷 / 12期
关键词
CONTRAST-ENHANCED MRI; COMPUTED-TOMOGRAPHY; PROTON;
D O I
10.1371/journal.pone.0225673
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Purpose Advanced forms of prostate cancer (PCa) radiotherapy with either external beam therapy or brachytherapy delivery techniques aim for a focal boost and thus require accurate lesion localization and lesion segmentation for subsequent treatment planning. This study prospectively evaluated dynamic contrast-enhanced computed tomography (DCE-CT) for the detection of prostate cancer lesions in the peripheral zone (PZ) using qualitative and quantitative image analysis compared to multiparametric magnet resonance imaging (mpMRI) of the prostate. Methods With local ethics committee approval, 14 patients (mean age, 67 years; range, 57-78 years; PSA, mean 8.1 ng/ml; range, 3.5-26.0) underwent DCE-CT, as well as mpMRI of the prostate, including standard T2, diffusion-weighted imaging (DWI), and DCE-MRI sequences followed by transrectal in-bore MRI-guided prostate biopsy. Maximum intensity projections (MIP) and DCE-CT perfusion parameters (CTP) were compared between healthy and malignant tissue. Two radiologists independently rated image quality and the tumor lesion delineation quality of PCa using a five-point ordinal scale. MIP and CTP were compared using visual grading characteristics (VGC) and receiver operating characteristics (ROC)/area under the curve (AUC) analysis. Results The PCa detection rate ranged between 57 to 79% for the two readers for DCE-CT and was 92% for DCE-MRI. DCE-CT perfusion parameters in PCa tissue in the PZ were significantly different compared to regular prostate tissue and benign lesions. Image quality and lesion visibility were comparable between DCE-CT and DCE-MRI (VGC: AUC 0.612 and 0.651, p> 0.05). Conclusion Our preliminary results suggest that it is feasible to use DCE-CT for identification and visualization, and subsequent segmentation for focal radiotherapy approaches to PCa.
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页数:14
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