4D perfusion CT of prostate cancer for image-guided radiotherapy planning

• Verfasst von: Beer, Lucian [VerfasserIn]
• Verfasst von: Polanec, Stephan H. [VerfasserIn]
• Verfasst von: Baltzer, Pascal A. T. [VerfasserIn]
• Verfasst von: Schatzl, Georg [VerfasserIn]
• Verfasst von: Georg, Dietmar [VerfasserIn]
• Verfasst von: Schestak, Christian [VerfasserIn]
• Verfasst von: Dutschke, Anja [VerfasserIn]
• Verfasst von: Herrmann, Harald [VerfasserIn]
• Verfasst von: Mazal, Peter [VerfasserIn]
• Verfasst von: Brendel, Alexander K. [VerfasserIn]
• Verfasst von: Shariat, Shahrokh F. [VerfasserIn]
• Verfasst von: Ringl, Helmut [VerfasserIn]
• Verfasst von: Helbich, Thomas H. [VerfasserIn]
• Verfasst von: Apfaltrer, Paul [VerfasserIn]
• Titel: 4D perfusion CT of prostate cancer for image-guided radiotherapy planning
• Titelzusatz: A proof of concept study
• Verf.angabe: Lucian Beer, Stephan H. Polanec, Pascal A. T. Baltzer, Georg Schatzl, Dietmar Georg, Christian Schestak, Anja Dutschke, Harald Herrmann, Peter Mazal, Alexander K. Brendel, Shahrokh F. Shariat, Helmut Ringl, Thomas H. Helbich, Paul Apfaltrer
• E-Jahr: 2019
• Jahr: June 24, 2020
• Jahr des Originals: 2019
• Umfang: 14 S.
• Fussnoten: Gesehen am 15.09.2020
• Titel Quelle: Enthalten in: PLOS ONE
• Ort Quelle: San Francisco, California, US : PLOS, 2006
• Jahr Quelle: 2019
• Band/Heft Quelle: 14(2019,12) Artikel-Nummer e0225673, 14 Seiten
• ISSN Quelle: 1932-6203
• DOI: doi:10.1371/journal.pone.0225673
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Biopsy
• Sach-SW: Cancer treatment
• Sach-SW: Computed axial tomography
• Sach-SW: Lesions
• Sach-SW: Magnetic resonance imaging
• Sach-SW: Prostate cancer
• Sach-SW: Prostate gland
• Sach-SW: Radiation therapy
• K10plus-PPN: 1732463670

Abstract

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.