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SHR Neuro Cancer Cardio Lipid Metab Microb

Beer, L; Polanec, SH; Baltzer, PAT; Schatzl, G; Georg, D; Schestak, C; Dutschke, A; Herrmann, H; Mazal, P; Brendel, AK; Shariat, SF; Ringl, H; Helbich, TH; Apfaltrer, P.
4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.
PLoS One. 2019; 14(12):e0225673-e0225673 Doi: 10.1371/journal.pone.0225673 [OPEN ACCESS]
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Leading authors Med Uni Graz: Apfaltrer Paul
Co-authors Med Uni Graz: Dutschke Anja
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Abstract:: 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. 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. 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). 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.
Find related publications in this database (using NLM MeSH Indexing): Aged -; Biopsy, Large-Core Needle -; Contrast Media - administration & dosage; Diffusion Magnetic Resonance Imaging -; Feasibility Studies -; Four-Dimensional Computed Tomography - methods; Humans -; Image-Guided Biopsy -; Male -; Middle Aged -; Neoplasm Grading -; Perfusion Imaging - methods; Proof of Concept Study -; Prospective Studies -; Prostate - diagnostic imaging; Prostate - pathology; Prostatic Neoplasms - diagnostic imaging; Prostatic Neoplasms - pathology; Prostatic Neoplasms - radiotherapy; Radiation Dosage -; Radiotherapy Planning, Computer-Assisted - methods; Radiotherapy, Image-Guided - methods