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4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.
Beer, Lucian; Polanec, Stephan H; Baltzer, Pascal A T; Schatzl, Georg; Georg, Dietmar; Schestak, Christian; Dutschke, Anja; Herrmann, Harald; Mazal, Peter; Brendel, Alexander K; Shariat, Shahrokh F; Ringl, Helmut; Helbich, Thomas H; Apfaltrer, Paul.
Afiliação
  • Beer L; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Polanec SH; Department of Radiology and Cancer Research UK Cambridge Center, Cambridge, United Kingdom.
  • Baltzer PAT; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Schatzl G; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Georg D; Department of Urology, Medical University of Vienna, Vienna, Austria.
  • Schestak C; Department of Radiation Oncology, Medical University of Vienna, Vienna, Austria.
  • Dutschke A; Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University Vienna, Austria.
  • Herrmann H; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Mazal P; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
  • Brendel AK; Department of Radiation Oncology, Medical University of Vienna, Vienna, Austria.
  • Shariat SF; Clinical Institute of Pathology, Medical University of Vienna, Vienna, Austria.
  • Ringl H; Clinical Institute of Pathology, Medical University of Vienna, Vienna, Austria.
  • Helbich TH; Department of Urology, Medical University of Vienna, Vienna, Austria.
  • Apfaltrer P; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
PLoS One ; 14(12): e0225673, 2019.
Article em En | MEDLINE | ID: mdl-31856177
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Planejamento da Radioterapia Assistida por Computador / Imagem de Perfusão / Tomografia Computadorizada Quadridimensional / Radioterapia Guiada por Imagem Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Próstata / Planejamento da Radioterapia Assistida por Computador / Imagem de Perfusão / Tomografia Computadorizada Quadridimensional / Radioterapia Guiada por Imagem Idioma: En Ano de publicação: 2019 Tipo de documento: Article