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Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
Quantifying Liver Heterogeneity via R2-MRI with Super-Paramagnetic Iron Oxide Nanoparticles (SPION) to Characterize Liver Function and Tumor
Cancers, v 14(21), 5269
27 Oct 2022
PMID: 36358689
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The use of super-paramagnetic iron oxide nanoparticles (SPIONs) as an MRI contrast agent (SPION-CA) can safely label hepatic macrophages and be localized within hepatic parenchyma for T2*- and R2*-MRI of the liver. To date, no study has utilized the R2*-MRI with SPIONs for quantifying liver heterogeneity to characterize functional liver parenchyma (FLP) and hepatic tumors. This study investigates whether SPIONs enhance liver heterogeneity for an auto-contouring tool to identify the voxel-wise functional liver parenchyma volume (FLPV). This was the first study to directly evaluate the impact of SPIONs on the FLPV in R2*-MRI for 12 liver cancer patients. By using SPIONs, liver heterogeneity was improved across pre- and post-SPION MRI sessions. On average, 60% of the liver [range 40–78%] was identified as the FLPV in our auto-contouring tool with a pre-determined threshold of the mean R2* of the tumor and liver. This method performed well in 10 out of 12 liver cancer patients; the remaining 2 needed a longer echo time. These results demonstrate that our contouring tool with SPIONs can facilitate the heterogeneous R2* of the liver to automatically characterize FLP. This is a desirable technique for achieving more accurate FLPV contouring during liver radiation treatment planning.
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Details
- Title
- Quantifying Liver Heterogeneity via R2-MRI with Super-Paramagnetic Iron Oxide Nanoparticles (SPION) to Characterize Liver Function and Tumor
- Creators
- Danny Lee - Drexel University, Radiation Oncology (and Nuclear Medicine)Jason Sohn - Allegheny Health NetworkAlexander Kirichenko - Allegheny Health Network
- Publication Details
- Cancers, v 14(21), 5269
- Publisher
- MDPI
- Grant note
- Elekta
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Radiology (Radiologic Sciences)
- Web of Science ID
- WOS:000880961600001
- Scopus ID
- 2-s2.0-85141657006
- Other Identifier
- 991021861208804721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Oncology