Original Article

Assessment of prostate cancer with integrated CT-perfusion using a sector-wise approach

Volume 43 · Issue 2 Publish Date: July 25, 2019
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Matteo Ferrari
Department of Urology, Lucerne Cantonal Hospital, Switzerland
Martin Huellner
Department of Medical Radiology, University Hospital Zurich, Zurich, Switzerland
Chantal Pauli
Department of Pathology, University Hospital Zurich, Zurich, Switzerland
Burkhardt Seifert
Department of Biostatistics, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
Hansjörg Danuser
Department of Urology, Lucerne Cantonal Hospital, Switzerland
Patrick Veit-Haibach
Department of Medical Radiology, University Hospital Zurich, Zurich, Switzerland
Agostino Mattei
Department of Urology, Lucerne Cantonal Hospital, Switzerland
Ferrari, M., Huellner, M., Pauli, C., Seifert, B., Danuser, H., Veit-Haibach, P., & Mattei, A. (2019). Assessment of prostate cancer with integrated CT-perfusion using a sector-wise approach. Urology Research and Practice, 43(2), 152–157. https://doi.org/10.5152/tud.2017.11455
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Abstract

Abstract

Objective: The role of computed tomography perfusion (CTP) in characterizing primary prostate cancer (PCa) is not definitely known. The aim of the present study was to investigate the relationship between CTP parameters and histopathological features of PCa tissue, using a sector-wise approach.

 

Material and methods: Fifty-one patients with biopsy-proven PCa underwent prospectively a CTP scan prior to radical prostatectomy. Blood flow (BF), mean blood volume (BV) and mean transit time (MTT) were calculated, with the prostate being divided into eight sectors. Corresponding sector-wise histopathological analysis of whole-mount prostatectomy specimens was performed to determine tumoral area (mm2), mean microvessel density (MVD), Gleason patterns (primary, secondary) and total Gleason score. Spearman’s rank correlation coefficient was used to analyze the association between CTP and histopathological parameters.

 

Results: BF correlated weakly with tumoral area [ρs coefficient (p-value): 0.25 (0.00)] and MVD [ρs coefficient (p-value): 0.23 (0.00)]. No valuable correlation was found between CTP parameters and primary and secondary Gleason patterns, whereas total Gleason score was weakly correlated with BV [ρs coefficient (p-value): 0.22 (0.00)] and MTT [ρs coefficient (p-value): 0.25 (0.00)].

 

Conclusion: BF correlates weakly with size and vascularity of PCa. There is a need for further studies to elucidate the association between CTP parameters and other histopathological parameters.

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Article Info
Published In
Journal Urology Research and Practice
Volume / Issue Volume 43 · Issue 2
Pages 152-157
History
Published Online July 25, 2019
Copyright
Affiliations
Matteo Ferrari
Department of Urology, Lucerne Cantonal Hospital, Switzerland
Martin Huellner
Department of Medical Radiology, University Hospital Zurich, Zurich, Switzerland
Chantal Pauli
Department of Pathology, University Hospital Zurich, Zurich, Switzerland
Burkhardt Seifert
Department of Biostatistics, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
Hansjörg Danuser
Department of Urology, Lucerne Cantonal Hospital, Switzerland
Patrick Veit-Haibach
Department of Medical Radiology, University Hospital Zurich, Zurich, Switzerland
Agostino Mattei
Department of Urology, Lucerne Cantonal Hospital, Switzerland
Cite this Article
Ferrari, M., Huellner, M., Pauli, C., Seifert, B., Danuser, H., Veit-Haibach, P., & Mattei, A. (2019). Assessment of prostate cancer with integrated CT-perfusion using a sector-wise approach. Urology Research and Practice, 43(2), 152–157. https://doi.org/10.5152/tud.2017.11455
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