1. 4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.
- Author
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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, and Apfaltrer P
- Subjects
- Aged, Biopsy, Large-Core Needle, Contrast Media administration & dosage, Diffusion Magnetic Resonance Imaging, Feasibility Studies, Humans, Image-Guided Biopsy, Male, Middle Aged, Neoplasm Grading, Proof of Concept Study, Prospective Studies, Prostate diagnostic imaging, Prostate pathology, Prostatic Neoplasms diagnostic imaging, Prostatic Neoplasms pathology, Radiation Dosage, Four-Dimensional Computed Tomography methods, Perfusion Imaging methods, Prostatic Neoplasms radiotherapy, Radiotherapy Planning, Computer-Assisted methods, Radiotherapy, Image-Guided methods
- 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., Competing Interests: The authors have declared that no competing interests exist.
- Published
- 2019
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