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

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

Abstract

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

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.b8f6f64ea0d469b985ed74fab602778
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-018-20726-1