Literature DB >> 24809332

A comparison of arterial spin labeling perfusion MRI and DCE-MRI in human prostate cancer.

Wenchao Cai1, Feiyu Li, Jing Wang, Huarui Du, Xiaoying Wang, Jue Zhang, Jing Fang, Xuexiang Jiang.   

Abstract

Perfusion MRI has the potential to provide pathophysiological biomarkers for the evaluating, staging and therapy monitoring of prostate cancer. The objective of this study was to explore the feasibility of noninvasive arterial spin labeling (ASL) to detect prostate cancer in the peripheral zone and to investigate the correlation between the blood flow (BF) measured by ASL and the pharmacokinetic parameters K(trans) (forward volume transfer constant), kep (reverse reflux rate constant between extracellular space and plasma) and ve (the fractional volume of extracellular space per unit volume of tissue) measured by dynamic contrast-enhanced (DCE) MRI in patients with prostate cancer. Forty-three consecutive patients (ages ranging from 49 to 86 years, with a median age of 74 years) with pathologically confirmed prostate cancer were recruited. An ASL scan with four different inversion times (TI = 1000, 1200, 1400 and 1600 ms) and a DCE-MRI scan were performed on a clinical 3.0 T GE scanner. BF, K(trans), kep and ve maps were calculated. In order to determine whether the BF values in the cancerous area were statistically different from those in the noncancerous area, an independent t-test was performed. Spearman's bivariate correlation was used to assess the relationship between BF and the pharmacokinetic parameters K(trans), kep and ve. The mean BF values in the cancerous areas (97.1 ± 30.7, 114.7 ± 28.7, 102.3 ± 22.5, 91.2 ± 24.2 ml/100 g/min, respectively, for TI = 1000, 1200, 1400, 1600 ms) were significantly higher (p < 0.01 for all cases) than those in the noncancerous regions (35.8 ± 12.5, 42.2 ± 13.7, 53.5 ± 19.1, 48.5 ± 13.5 ml/100 g/min, respectively). Significant positive correlations (p < 0.01 for all cases) between BF and the pharmacokinetic parameters K(trans), kep and ve were also observed for all four TI values (r = 0.671, 0.407, 0.666 for TI = 1000 ms; 0.713, 0.424, 0.698 for TI = 1200 ms; 0.604, 0.402, 0.595 for TI = 1400 ms; 0.605, 0.422, 0.548 for TI = 1600 ms). It can be seen that the quantitative ASL measurements show significant differences between cancerous and benign tissues, and exhibit strong to moderate correlations with the parameters obtained using DCE-MRI. These results show the promise of ASL as a noninvasive alternative to DCE-MRI.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  DCE-MRI; arterial spin labeling (ASL); blood flow (BF); perfusion imaging; prostate cancer

Mesh:

Substances:

Year:  2014        PMID: 24809332     DOI: 10.1002/nbm.3124

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  6 in total

Review 1.  Emerging MR methods for improved diagnosis of prostate cancer by multiparametric MRI.

Authors:  Durgesh Kumar Dwivedi; Naranamangalam R Jagannathan
Journal:  MAGMA       Date:  2022-07-22       Impact factor: 2.533

Review 2.  Multiparametric MR Imaging in Abdominal Malignancies.

Authors:  Antonio Luna; Shivani Pahwa; Claudio Bonini; Lidia Alcalá-Mata; Katherine L Wright; Vikas Gulani
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

3.  Differential diagnosis of prostate cancer and noncancerous tissue in the peripheral zone and central gland using the quantitative parameters of DCE-MRI: A meta-analysis.

Authors:  Peng Gao; Changzheng Shi; Lianping Zhao; Quan Zhou; Liangping Luo
Journal:  Medicine (Baltimore)       Date:  2016-12       Impact factor: 1.889

Review 4.  Quantitative Magnetic Resonance Imaging of the Pancreas of Individuals With Diabetes.

Authors:  John Virostko
Journal:  Front Endocrinol (Lausanne)       Date:  2020-12-04       Impact factor: 5.555

5.  Consistency of T2WI-FS/ASL fusion images in delineating the volume of nasopharyngeal carcinoma.

Authors:  Meng Lin; Xiaoduo Yu; Han Ouyang; Dehong Luo; Chunwu Zhou
Journal:  Sci Rep       Date:  2015-12-16       Impact factor: 4.379

6.  Tumour blood flow for prediction of human prostate cancer aggressiveness: a study with Rubidium-82 PET, MRI and Na+/K+-ATPase-density.

Authors:  Mads Ryø Jochumsen; Jens Sörensen; Bodil Ginnerup Pedersen; Jens Randel Nyengaard; Søren Rasmus Palmelund Krag; Jørgen Frøkiær; Michael Borre; Kirsten Bouchelouche; Lars Poulsen Tolbod
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-08-18       Impact factor: 9.236

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.