Arterial input function for quantitative dynamic contrast-enhanced MRI to diagnose prostate cancer.
PURPOSE This study aims to analyze the ability of quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to distinguish between prostate cancer (PCa) and benign lesions in transition zone (TZ) and peripheral zone (PZ) using different methods for arterial input function (AIF) det...
| Publicado en: | Diagnostic & Interventional Radiology Vol. 28; no. 2; pp. 108 - 115 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Galenos Yayinevi Tic. LTD. STI
Mar/Apr2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157013194&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157013194 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13053825 39NM jtl: Diagnostic & Interventional Radiology issn: 13053825 maglogo: N pubinfo: dt: Mar/Apr2022 vid: 28 iid: 2 pid: 28155 pub: Galenos Yayinevi Tic. LTD. STI artinfo: ui: 157013194 157013194 NLM35548894 10.5152/dir.2022.19512 NLM35548894 157013194 ppf: 108 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Arterial input function for quantitative dynamic contrast-enhanced MRI to diagnose prostate cancer. aug: au: Ziayee, Farid Mueller-Lutz, Anja Gross, Janina Ullrich, Tim Quentin, Michael Arsov, Christian Antoch, Gerald Wittsack, Hans-Jörg Schimmöller, Lars affil: Department of Diagnostic and Interventional Radiology, University Dusseldorf, Faculty of Medicine, Dusseldorf, Germany. sug: subj: Prostatic Neoplasms Prostatic Neoplasms Pathology Contrast Media Magnetic Resonance Imaging Methods Male Arteries Retrospective Design Algorithms Scales Arthritis Impact Measurement Scales Male ab: PURPOSE This study aims to analyze the ability of quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to distinguish between prostate cancer (PCa) and benign lesions in transition zone (TZ) and peripheral zone (PZ) using different methods for arterial input function (AIF) determination. Study endpoints are identification of a standard AIF method and optimal quantitative perfusion parameters for PCa detection. METHODS DCE image data of 50 consecutive patients with PCa who underwent multiparametric MRI were analyzed retrospectively with three different methods of AIF acquisition. First, a region of interest was manually defined in an artery (AIFm); second, an automated algorithm was used (AIFa); and third, a population-based AIF (AIFp) was applied. Values of quantitative parameters after Tofts (Ktrans, ve, and kep) in PCa, PZ, and TZ in the three different AIFs were analyzed. RESULTS Ktrans and kep were significantly higher in PCa than in benign tissue independent from the AIF method. Whereas in PZ, Ktrans and kep could differentiate PCa (P < .001), in TZ only kep using AIFpdemonstrated a significant difference (P = .039). The correlations of the perfusion parameters that resulted from AIFm and AIFa were higher than those that resulted from AIFp, and the absolute values of Ktrans, kep, and ve were significantly lower when using AIFp. The values of quantitative perfusion parameters for PCa were similar regardless of whether PCa was located in PZ or TZ. CONCLUSION Ktrans and kep were able to differentiate PCa from benign PZ independent of the AIF method. AIFaseems to be the most feasible method of AIF determination in clinical routine. For TZ, none of the quantitative perfusion parameters provided satisfying results. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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