Quantitative Measurement of Breast Density Using Personalized 3D-Printed Breast Model for Magnetic Resonance Imaging
Despite the development and implementation of several MRI techniques for breast density assessments, there is no consensus on the optimal protocol in this regard. This study aimed to determine the most appropriate MRI protocols for the quantitative assessment of breast density using a personalized 3...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/10/10/793 |
| _version_ | 1797551739810873344 |
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| author | Rooa Sindi Yin How Wong Chai Hong Yeong Zhonghua Sun |
| author_facet | Rooa Sindi Yin How Wong Chai Hong Yeong Zhonghua Sun |
| author_sort | Rooa Sindi |
| collection | DOAJ |
| description | Despite the development and implementation of several MRI techniques for breast density assessments, there is no consensus on the optimal protocol in this regard. This study aimed to determine the most appropriate MRI protocols for the quantitative assessment of breast density using a personalized 3D-printed breast model. The breast model was developed using silicone and peanut oils to simulate the MRI related-characteristics of fibroglandular and adipose breast tissues, and then scanned on a 3T MRI system using non-fat-suppressed and fat-suppressed sequences. Breast volume, fibroglandular tissue volume, and percentage of breast density from these imaging sequences were objectively assessed using Analyze 14.0 software. Finally, the repeated-measures analysis of variance (ANOVA) was performed to examine the differences between the quantitative measurements of breast volume, fibroglandular tissue volume, and percentage of breast density with respect to the corresponding sequences. The volume of fibroglandular tissue and the percentage of breast density were significantly higher in the fat-suppressed sequences than in the non-fat-suppressed sequences (<i>p</i> < 0.05); however, the difference in breast volume was not statistically significant (<i>p</i> = 0.529). Further, a fat-suppressed T2-weighted with turbo inversion recovery magnitude (TIRM) imaging sequence was superior to the non-fat- and fat-suppressed T1- and T2-weighted sequences for the quantitative measurement of breast density due to its ability to represent the exact breast tissue compositions. This study shows that the fat-suppressed sequences tended to be more useful than the non-fat-suppressed sequences for the quantitative measurements of the volume of fibroglandular tissue and the percentage of breast density. |
| first_indexed | 2024-03-10T15:49:19Z |
| format | Article |
| id | doaj.art-fcb880fcdfe64a839fdd8d3b886ba42a |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-10T15:49:19Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-fcb880fcdfe64a839fdd8d3b886ba42a2023-11-20T16:13:28ZengMDPI AGDiagnostics2075-44182020-10-01101079310.3390/diagnostics10100793Quantitative Measurement of Breast Density Using Personalized 3D-Printed Breast Model for Magnetic Resonance ImagingRooa Sindi0Yin How Wong1Chai Hong Yeong2Zhonghua Sun3Discipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, WA 6845, AustraliaSchool of Medicine, Faculty of Health and Medical Sciences, Taylor’s University, Subang Jaya 47500, Selangor, MalaysiaSchool of Medicine, Faculty of Health and Medical Sciences, Taylor’s University, Subang Jaya 47500, Selangor, MalaysiaDiscipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, WA 6845, AustraliaDespite the development and implementation of several MRI techniques for breast density assessments, there is no consensus on the optimal protocol in this regard. This study aimed to determine the most appropriate MRI protocols for the quantitative assessment of breast density using a personalized 3D-printed breast model. The breast model was developed using silicone and peanut oils to simulate the MRI related-characteristics of fibroglandular and adipose breast tissues, and then scanned on a 3T MRI system using non-fat-suppressed and fat-suppressed sequences. Breast volume, fibroglandular tissue volume, and percentage of breast density from these imaging sequences were objectively assessed using Analyze 14.0 software. Finally, the repeated-measures analysis of variance (ANOVA) was performed to examine the differences between the quantitative measurements of breast volume, fibroglandular tissue volume, and percentage of breast density with respect to the corresponding sequences. The volume of fibroglandular tissue and the percentage of breast density were significantly higher in the fat-suppressed sequences than in the non-fat-suppressed sequences (<i>p</i> < 0.05); however, the difference in breast volume was not statistically significant (<i>p</i> = 0.529). Further, a fat-suppressed T2-weighted with turbo inversion recovery magnitude (TIRM) imaging sequence was superior to the non-fat- and fat-suppressed T1- and T2-weighted sequences for the quantitative measurement of breast density due to its ability to represent the exact breast tissue compositions. This study shows that the fat-suppressed sequences tended to be more useful than the non-fat-suppressed sequences for the quantitative measurements of the volume of fibroglandular tissue and the percentage of breast density.https://www.mdpi.com/2075-4418/10/10/793MRIfibroglandular tissuebreast density3D-printed modelfat suppressionTIRM |
| spellingShingle | Rooa Sindi Yin How Wong Chai Hong Yeong Zhonghua Sun Quantitative Measurement of Breast Density Using Personalized 3D-Printed Breast Model for Magnetic Resonance Imaging Diagnostics MRI fibroglandular tissue breast density 3D-printed model fat suppression TIRM |
| title | Quantitative Measurement of Breast Density Using Personalized 3D-Printed Breast Model for Magnetic Resonance Imaging |
| title_full | Quantitative Measurement of Breast Density Using Personalized 3D-Printed Breast Model for Magnetic Resonance Imaging |
| title_fullStr | Quantitative Measurement of Breast Density Using Personalized 3D-Printed Breast Model for Magnetic Resonance Imaging |
| title_full_unstemmed | Quantitative Measurement of Breast Density Using Personalized 3D-Printed Breast Model for Magnetic Resonance Imaging |
| title_short | Quantitative Measurement of Breast Density Using Personalized 3D-Printed Breast Model for Magnetic Resonance Imaging |
| title_sort | quantitative measurement of breast density using personalized 3d printed breast model for magnetic resonance imaging |
| topic | MRI fibroglandular tissue breast density 3D-printed model fat suppression TIRM |
| url | https://www.mdpi.com/2075-4418/10/10/793 |
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