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Quantitative perfusion imaging of neoplastic liver lesions: A multi-institution study

Authors :
Nicole Seiberlich
Yong Chen
Mengsu Zeng
Ignacio Vallines
Hamid Chalian
Chaitra Badve
Ziang Lu
Alice Yu
Caixia Fu
Vikas Gulani
Sara Dastmalchian
Hao Liu
Shivani Pahwa
Mark A. Griswold
Sheng-Xiang Rao
Katherine L. Wright
Gregory O'Connor
Source :
Scientific Reports, Vol 8, Iss 1, Pp 1-8 (2018), Scientific Reports
Publication Year :
2018
Publisher :
Nature Portfolio, 2018.

Abstract

We describe multi-institutional experience using free-breathing, 3D Spiral GRAPPA-based quantitative perfusion MRI in characterizing neoplastic liver masses. 45 patients (age: 48–72 years) were prospectively recruited at University Hospitals, Cleveland, USA on a 3 Tesla (T) MRI, and at Zhongshan Hospital, Shanghai, China on a 1.5 T MRI. Contrast-enhanced volumetric T1-weighted images were acquired and a dual-input single-compartment model used to derive arterial fraction (AF), distribution volume (DV) and mean transit time (MTT) for the lesions and normal parenchyma. The measurements were compared using two-tailed Student’s t-test, with Bonferroni correction applied for multiple-comparison testing. 28 hepatocellular carcinoma (HCC) and 17 metastatic lesions were evaluated. No significant difference was noted in perfusion parameters of normal liver parenchyma and neoplastic masses at two centers (p = 0.62 for AF, 0.015 for DV, 0.42 for MTT for HCC, p = 0.13 for AF, 0.97 for DV, 0.78 for MTT for metastases). There was statistically significant difference in AF, DV, and MTT of metastases and AF and DV of HCC compared to normal liver parenchyma (p

Details

Language :
English
ISSN :
20452322
Volume :
8
Issue :
1
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....87a15eac1d4adffc39c77f64c0a36145