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

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 r...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Silva Guljaš [verfasserIn] Mirta Benšić [verfasserIn] Zdravka Krivdić Dupan [verfasserIn] Oliver Pavlović [verfasserIn] Vinko Krajina [verfasserIn] Deni Pavoković [verfasserIn] Petra Šmit Takač [verfasserIn] Matija Hranić [verfasserIn] Tamer Salha [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	magnetic resonance imaging muscle perfusion permeability prostate cancer

Übergeordnetes Werk:	In: Tomography - MDPI AG, 2021, 8(2022), 3, Seite 1509-1521
Übergeordnetes Werk:	volume:8 ; year:2022 ; number:3 ; pages:1509-1521

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.3390/tomography8030124

Katalog-ID:	DOAJ078816149

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callnumber-first	R - Medicine
author	Silva Guljaš
spellingShingle	Silva Guljaš misc R858-859.7 misc magnetic resonance imaging misc muscle misc perfusion misc permeability misc prostate cancer misc Computer applications to medicine. Medical informatics Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate—Can We Make Better Use of It?
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topic_title	R858-859.7 Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate—Can We Make Better Use of It? magnetic resonance imaging muscle perfusion permeability prostate cancer
topic	misc R858-859.7 misc magnetic resonance imaging misc muscle misc perfusion misc permeability misc prostate cancer misc Computer applications to medicine. Medical informatics
topic_unstemmed	misc R858-859.7 misc magnetic resonance imaging misc muscle misc perfusion misc permeability misc prostate cancer misc Computer applications to medicine. Medical informatics
topic_browse	misc R858-859.7 misc magnetic resonance imaging misc muscle misc perfusion misc permeability misc prostate cancer misc Computer applications to medicine. Medical informatics
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title	Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate—Can We Make Better Use of It?
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title_full	Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate—Can We Make Better Use of It?
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title_sort	dynamic contrast enhanced study in multiparametric examination of the prostate—can we make better use of it?
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title_auth	Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate—Can We Make Better Use of It?
abstract	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 K<sub<trans</sub< 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 K<sub<trans</sub< 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.
abstractGer	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 K<sub<trans</sub< 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 K<sub<trans</sub< 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.
abstract_unstemmed	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 K<sub<trans</sub< 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 K<sub<trans</sub< 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.
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title_short	Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate—Can We Make Better Use of It?
url	https://doi.org/10.3390/tomography8030124 https://doaj.org/article/4d3084c2eeb0477791b296731e44362f https://www.mdpi.com/2379-139X/8/3/124 https://doaj.org/toc/2379-1381 https://doaj.org/toc/2379-139X
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author2	Mirta Benšić Zdravka Krivdić Dupan Oliver Pavlović Vinko Krajina Deni Pavoković Petra Šmit Takač Matija Hranić Tamer Salha
author2Str	Mirta Benšić Zdravka Krivdić Dupan Oliver Pavlović Vinko Krajina Deni Pavoković Petra Šmit Takač Matija Hranić Tamer Salha
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up_date	2024-07-03T20:01:51.093Z
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Dynamic Contrast Enhanced Study in Multiparametric Examination of the Prostate—Can We Make Better Use of It?

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