Literature DB >> 29300175

Comparison of arterial input functions measured from ultra-fast dynamic contrast enhanced MRI and dynamic contrast enhanced computed tomography in prostate cancer patients.

Shiyang Wang1, Zhengfeng Lu, Xiaobing Fan, Milica Medved, Xia Jiang, Steffen Sammet, Ambereen Yousuf, Federico Pineda, Aytekin Oto, Gregory S Karczmar.   

Abstract

The purpose of this study was to evaluate the accuracy of arterial input functions (AIFs) measured from dynamic contrast enhanced (DCE) MRI following a low dose of contrast media injection. The AIFs measured from DCE computed tomography (CT) were used as 'gold standard'. A total of twenty patients received CT and MRI scans on the same day. Patients received 120 ml Iohexol in DCE-CT and a low dose of (0.015 mM kg-1) of gadobenate dimeglumine in DCE-MRI. The AIFs were measured in the iliac artery and normalized to the CT and MRI contrast agent doses. To correct for different temporal resolution and sampling periods of CT and MRI, an empirical mathematical model (EMM) was used to fit the AIFs first. Then numerical AIFs (AIFCT and AIFMRI) were calculated based on fitting parameters. The AIFMRI was convolved with a 'contrast agent injection' function ([Formula: see text]) to correct for the difference between MRI and CT contrast agent injection times (~1.5 s versus 30 s). The results show that the EMMs accurately fitted AIFs measured from CT and MRI. There was no significant difference (p  >  0.05) between the maximum peak amplitude of AIFs from CT (22.1  ±  4.1 mM/dose) and MRI after convolution (22.3  ±  5.2 mM/dose). The shapes of the AIFCT and [Formula: see text] were very similar. Our results demonstrated that AIFs can be accurately measured by MRI following low dose contrast agent injection.

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Year:  2018        PMID: 29300175      PMCID: PMC6040820          DOI: 10.1088/1361-6560/aaa51b

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  28 in total

1.  Determining and optimizing the precision of quantitative measurements of perfusion from dynamic contrast enhanced MRI.

Authors:  Brian M Dale; John A Jesberger; Jonathan S Lewin; Claudia M Hillenbrand; Jeffrey L Duerk
Journal:  J Magn Reson Imaging       Date:  2003-11       Impact factor: 4.813

2.  Correction of arterial input function in dynamic contrast-enhanced MRI of the liver.

Authors:  Hesheng Wang; Yue Cao
Journal:  J Magn Reson Imaging       Date:  2012-03-05       Impact factor: 4.813

3.  Comparison of quantitative parameters in cervix cancer measured by dynamic contrast-enhanced MRI and CT.

Authors:  Cheng Yang; Walter M Stadler; Gregory S Karczmar; Michael Milosevic; Ivan Yeung; Masoom A Haider
Journal:  Magn Reson Med       Date:  2010-06       Impact factor: 4.668

4.  A comparison of dynamic contrast-enhanced CT and MR imaging-derived measurements in patients with cervical cancer.

Authors:  Sun Mo Kim; Masoom A Haider; Michael Milosevic; Ivan W T Yeung
Journal:  Clin Physiol Funct Imaging       Date:  2012-11-27       Impact factor: 2.273

5.  Comparison of high-resolution T1W 3D GRE (LAVA) with 2-point Dixon fat/water separation (FLEX) to T1W fast spin echo (FSE) in prostate cancer (PCa).

Authors:  Karim Samji; Abdulmohsen Alrashed; Wael M Shabana; Matthew Df McInnes; Ersin Bayram; Nicola Schieda
Journal:  Clin Imaging       Date:  2015-12-03       Impact factor: 1.605

6.  Cell membrane water exchange effects in prostate DCE-MRI.

Authors:  Xin Li; Ryan A Priest; William J Woodward; Faisal Siddiqui; Tomasz M Beer; Mark G Garzotto; William D Rooney; Charles S Springer
Journal:  J Magn Reson       Date:  2012-03-28       Impact factor: 2.229

Review 7.  Quantitative Myocardial Perfusion with Dynamic Contrast-Enhanced Imaging in MRI and CT: Theoretical Models and Current Implementation.

Authors:  G J Pelgrim; A Handayani; H Dijkstra; N H J Prakken; R H J A Slart; M Oudkerk; P M A Van Ooijen; R Vliegenthart; P E Sijens
Journal:  Biomed Res Int       Date:  2016-03-10       Impact factor: 3.411

8.  Advanced solid tumors treated with cediranib: comparison of dynamic contrast-enhanced MR imaging and CT as markers of vascular activity.

Authors:  Christina Messiou; Matthew Orton; Joo Ern Ang; David J Collins; Veronica A Morgan; Dorothy Mears; Isabel Castellano; Dionysis Papadatos-Pastos; Andre Brunetto; Nina Tunariu; Helen Mann; Jean Tessier; Helen Young; Dana Ghiorghiu; Sarah Marley; Stan B Kaye; Johann S deBono; Martin O Leach; Nandita M deSouza
Journal:  Radiology       Date:  2012-08-13       Impact factor: 11.105

9.  Assessment of repeatability and treatment response in early phase clinical trials using DCE-MRI: comparison of parametric analysis using MR- and CT-derived arterial input functions.

Authors:  Mihaela Rata; David J Collins; James Darcy; Christina Messiou; Nina Tunariu; Nandita Desouza; Helen Young; Martin O Leach; Matthew R Orton
Journal:  Eur Radiol       Date:  2015-09-18       Impact factor: 5.315

10.  Coronary MR angiography at 3T: fat suppression versus water-fat separation.

Authors:  Maryam Nezafat; Markus Henningsson; David P Ripley; Nathalie Dedieu; Gerald Greil; John P Greenwood; Peter Börnert; Sven Plein; René M Botnar
Journal:  MAGMA       Date:  2016-04-02       Impact factor: 2.310

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  1 in total

1.  Use of Indicator Dilution Principle to Evaluate Accuracy of Arterial Input Function Measured With Low-Dose Ultrafast Prostate Dynamic Contrast-Enhanced MRI.

Authors:  Shiyang Wang; Xiaobing Fan; Yue Zhang; Milica Medved; Dianning He; Ambereen Yousuf; Ernest Jamison; Aytekin Oto; Gregory S Karczmar
Journal:  Tomography       Date:  2019-06
  1 in total

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