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Article

Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate—Can We Make Better Use of It?

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Clinical Department of Radiology, University Hospital Centre, 31000 Osijek, Croatia
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Department of Mathematics, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
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Department of Radiology, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
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Department of Urology, University Hospital Centre Osijek, 31000 Osijek, Croatia
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Clinical Department of Surgery, Osijek University Hospital Centre, 31000 Osijek, Croatia
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Department of Teleradiology and Artificial Intelligence, Health Centre Osijek-Baranja County, 31000 Osijek, Croatia
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Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, 31000 Osijek, Croatia
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Author to whom correspondence should be addressed.
Academic Editors: David A. Hormuth, Katherine A. Vallis and Chengyue Wu
Tomography 2022, 8(3), 1509-1521; https://doi.org/10.3390/tomography8030124
Received: 28 February 2022 / Revised: 18 May 2022 / Accepted: 4 June 2022 / Published: 9 June 2022
(This article belongs to the Special Issue New Advances in Medical Imaging and Applied Radiology in Cancers)
We sought to investigate whether quantitative parameters from a dynamic contrast-enhanced study can be used to differentiate cancer from normal tissue and to determine a cut-off value of specific parameters that can predict malignancy more accurately, compared to the obturator internus muscle as a reference tissue. This retrospective study included 56 patients with biopsy proven prostate cancer (PCa) after multiparametric magnetic resonance imaging (mpMRI), with a total of 70 lesions; 39 were located in the peripheral zone, and 31 in the transition zone. The quantitative parameters for all patients were calculated in the detected lesion, morphologically normal prostate tissue and the obturator internus muscle. Increase in the Ktrans value was determined in lesion-to-muscle ratio by 3.974368, which is a cut-off value to differentiate between prostate cancer and normal prostate tissue, with specificity of 72.86% and sensitivity of 91.43%. We introduced a model to detect prostate cancer that combines Ktrans lesion-to-muscle ratio value and iAUC lesion-to-muscle ratio value, which is of higher accuracy compared to individual variables. Based on this model, we identified the optimal cut-off value with 100% sensitivity and 64.28% specificity. The use of quantitative DCE pharmacokinetic parameters compared to the obturator internus muscle as reference tissue leads to higher diagnostic accuracy for prostate cancer detection. View Full-Text
Keywords: magnetic resonance imaging; muscle; perfusion; permeability; prostate cancer magnetic resonance imaging; muscle; perfusion; permeability; prostate cancer
MDPI and ACS Style

Guljaš, S.; Benšić, M.; Krivdić Dupan, Z.; Pavlović, O.; Krajina, V.; Pavoković, D.; Šmit Takač, P.; Hranić, M.; Salha, T. Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate—Can We Make Better Use of It? Tomography 2022, 8, 1509-1521. https://doi.org/10.3390/tomography8030124

AMA Style

Guljaš S, Benšić M, Krivdić Dupan Z, Pavlović O, Krajina V, Pavoković D, Šmit Takač P, Hranić M, Salha T. Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate—Can We Make Better Use of It? Tomography. 2022; 8(3):1509-1521. https://doi.org/10.3390/tomography8030124

Chicago/Turabian Style

Guljaš, Silva, Mirta Benšić, Zdravka Krivdić Dupan, Oliver Pavlović, Vinko Krajina, Deni Pavoković, Petra Šmit Takač, Matija Hranić, and Tamer Salha. 2022. "Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate—Can We Make Better Use of It?" Tomography 8, no. 3: 1509-1521. https://doi.org/10.3390/tomography8030124

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