Portable NMR for quantification of breast density in vivo: Proof-of-concept measurements and comparison with quantitative MRI
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Description
Mammographic Density (MD) is the degree of radio-opacity of the breast in an X-ray mammogram. It is determined by the Fibroglandular: Adipose tissue ratio. MD has major implications in breast cancer risk and breast cancer chemoprevention. This study aimed to investigate the feasibility of accurate, low-cost quantification of MD in vivo without ionising radiation. We used single-sided portable nuclear magnetic resonance ("Portable NMR") due to its low cost and the absence of radiation-related safety concerns. Fifteen (N = 15) healthy female volunteers were selected for the study and underwent an imaging routine consisting of 2D X-ray mammography, quantitative breast 3T MRI (Dixon and T1-based 3D compositional breast imaging), and 1D compositional depth profiling of the right breast using Portable NMR. For each participant, all the measurements were made within 3-4 h of each other. MRI-determined tissue water content was used as the MD-equivalent quantity. Portable NMR depth profiles of tissue water were compared with the equivalent depth profiles reconstructed from Dixon and T1-based MR images, which were used as the MD-equivalent reference standard. The agreement between the depth profiles acquired using Portable NMR and the reconstructed reference-standard profiles was variable but overall encouraging. The agreement was somewhat inferior to that seen in breast tissue explant measurements conducted in vitro, where quantitative micro-CT was used as the reference standard. The lower agreement in vivo can be attributed to an uncertainty in the positioning of the Portable NMR sensor on the breast surface and breast compression in Portable NMR measurements. The degree of agreement between Portable NMR and quantitative MRI is encouraging. While the results call for further development of quantitative Portable NMR, they demonstrate the in-principle feasibility of Portable NMR-based quantitative compositional imaging in vivo and show promise for the development of safe and low-cost protocols for quantification of MD suitable for clinical applications.
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ID Code: | 234159 | ||||
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Item Type: | Contribution to Journal (Journal Article) | ||||
Refereed: | Yes | ||||
ORCID iD: |
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Additional Information: | Funding: Funding from the Princess Alexandra Research Foundation and from the Translational Research Institute is gratefully acknowledged. The funders had no role in the design of the study or the collection, analysis or interpretation of the data. | ||||
Measurements or Duration: | 12 pages | ||||
DOI: | 10.1016/j.mri.2022.07.004 | ||||
ISSN: | 0730-725X | ||||
Pure ID: | 113390933 | ||||
Divisions: | Current > Research Centres > Centre for Materials Science Current > Research Centres > Centre for Biomedical Technologies Current > Research Centres > Centre for Genomics and Personalised Health Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Chemistry & Physics Current > QUT Faculties and Divisions > Faculty of Engineering Current > QUT Faculties and Divisions > Faculty of Health Current > Schools > School of Biomedical Sciences |
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Copyright Owner: | 2022 Elsevier Inc. | ||||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||
Deposited On: | 28 Jul 2022 03:41 | ||||
Last Modified: | 05 Aug 2024 16:50 |
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