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

<h4>Purpose</h4>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 prospectiv...

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Main Authors: 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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0225673
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spelling doaj-97a6c65301e849c0a264cf1f32cb221e2021-03-04T11:20:23ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011412e022567310.1371/journal.pone.02256734D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.Lucian BeerStephan H PolanecPascal A T BaltzerGeorg SchatzlDietmar GeorgChristian SchestakAnja DutschkeHarald HerrmannPeter MazalAlexander K BrendelShahrokh F ShariatHelmut RinglThomas H HelbichPaul Apfaltrer<h4>Purpose</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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).<h4>Conclusion</h4>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.https://doi.org/10.1371/journal.pone.0225673
collection DOAJ
language English
format Article
sources DOAJ
author 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
spellingShingle 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
4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.
PLoS ONE
author_facet 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
author_sort Lucian Beer
title 4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.
title_short 4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.
title_full 4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.
title_fullStr 4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.
title_full_unstemmed 4D perfusion CT of prostate cancer for image-guided radiotherapy planning: A proof of concept study.
title_sort 4d perfusion ct of prostate cancer for image-guided radiotherapy planning: a proof of concept study.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description <h4>Purpose</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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).<h4>Conclusion</h4>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.
url https://doi.org/10.1371/journal.pone.0225673
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