Ultrasound‐guided breast biopsy using an adapted automated cone‐based ultrasound scanner: a feasibility study.
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| Title: | Ultrasound‐guided breast biopsy using an adapted automated cone‐based ultrasound scanner: a feasibility study. |
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| Authors: | Nikolaev, Anton V.1 (AUTHOR) a.nikolaev@erasmusmc.nl, de Jong, Leon1 (AUTHOR), Zamecnik, Patrik1 (AUTHOR), Groenhuis, Vincent2 (AUTHOR), Siepel, Françoise J.2 (AUTHOR), Stramigioli, Stefano2 (AUTHOR), Hansen, Hendrik H.G.1 (AUTHOR), de Korte, Chris L.1,3 (AUTHOR) |
| Source: | Medical Physics. Jun2023, Vol. 50 Issue 6, p3475-3489. 15p. |
| Subjects: | Breast biopsy, Scanning systems, Magnetic resonance imaging, Image reconstruction algorithms, Speed of sound, Image reconstruction, Digital mammography, Image fusion |
| Abstract: | Background: Among available breast biopsy techniques, ultrasound (US)‐guided biopsy is preferable because it is relatively inexpensive and provides live imaging feedback. The availability of magnetic resonance imaging (MRI)‐3D US image fusion would facilitate US‐guided biopsy even for US occult lesions to reduce the need for expensive and time‐consuming MRI‐guided biopsy. In this paper, we propose a novel Automated Cone‐based Breast Ultrasound Scanning and Biopsy System (ACBUS‐BS) to scan and biopsy breasts of women in prone position. It is based on a previously developed system, called ACBUS, that facilitates MRI‐3D US image fusion imaging of the breast employing a conical container filled with coupling medium. Purpose: The purpose of this study was to introduce the ABCUS‐BS system and demonstrate its feasibility for biopsy of US occult lesions. Method: The biopsy procedure with the ACBUS‐BS comprises four steps: target localization, positioning, preparation, and biopsy. The biopsy outcome can be impacted by 5 types of errors: due to lesion segmentation, MRI‐3D US registration, navigation, lesion tracking during repositioning, and US inaccuracy (due to sound speed difference between the sample and the one used for image reconstruction). For the quantification, we use a soft custom‐made polyvinyl alcohol phantom (PVA) containing eight lesions (three US‐occult and five US‐visible lesions of 10 mm in diameter) and a commercial breast mimicking phantom with a median stiffness of 7.6 and 28 kPa, respectively. Errors of all types were quantified using the custom‐made phantom. The error due to lesion tracking was also quantified with the commercial phantom. Finally, the technology was validated by biopsying the custom‐made phantom and comparing the size of the biopsied material to the original lesion size. The average size of the 10‐mm‐sized lesions in the biopsy specimen was 7.00 ± 0.92 mm (6.33 ± 1.16 mm for US occult lesions, and 7.40 ± 0.55 mm for US‐visible lesions). Results: For the PVA phantom, the errors due to registration, navigation, lesion tracking during repositioning, and US inaccuracy were 1.33, 0.30, 2.12, and 0.55 mm. The total error was 4.01 mm. For the commercial phantom, the error due to lesion tracking was estimated at 1.10 mm, and the total error was 4.11 mm. Given these results, the system is expected to successfully biopsy lesions larger than 8.22 mm in diameter. Patient studies will have to be carried out to confirm this in vivo. Conclusion: The ACBUS‐BS facilitates US‐guided biopsy of lesions detected in pre‐MRI and therefore might offer a low‐cost alternative to MRI‐guided biopsy. We demonstrated the feasibility of the approach by successfully taking biopsies of five US‐visible and three US‐occult lesions embedded in a soft breast‐shaped phantom. [ABSTRACT FROM AUTHOR] |
| Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Items | – Name: Title Label: Title Group: Ti Data: Ultrasound‐guided breast biopsy using an adapted automated cone‐based ultrasound scanner: a feasibility study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Nikolaev%2C+Anton+V%2E%22">Nikolaev, Anton V.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> a.nikolaev@erasmusmc.nl</i><br /><searchLink fieldCode="AR" term="%22de+Jong%2C+Leon%22">de Jong, Leon</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zamecnik%2C+Patrik%22">Zamecnik, Patrik</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Groenhuis%2C+Vincent%22">Groenhuis, Vincent</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Siepel%2C+Françoise+J%2E%22">Siepel, Françoise J.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stramigioli%2C+Stefano%22">Stramigioli, Stefano</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hansen%2C+Hendrik+H%2EG%2E%22">Hansen, Hendrik H.G.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+Korte%2C+Chris+L%2E%22">de Korte, Chris L.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Jun2023, Vol. 50 Issue 6, p3475-3489. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Breast+biopsy%22">Breast biopsy</searchLink><br /><searchLink fieldCode="DE" term="%22Scanning+systems%22">Scanning systems</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Image+reconstruction+algorithms%22">Image reconstruction algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Speed+of+sound%22">Speed of sound</searchLink><br /><searchLink fieldCode="DE" term="%22Image+reconstruction%22">Image reconstruction</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+mammography%22">Digital mammography</searchLink><br /><searchLink fieldCode="DE" term="%22Image+fusion%22">Image fusion</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: Among available breast biopsy techniques, ultrasound (US)‐guided biopsy is preferable because it is relatively inexpensive and provides live imaging feedback. The availability of magnetic resonance imaging (MRI)‐3D US image fusion would facilitate US‐guided biopsy even for US occult lesions to reduce the need for expensive and time‐consuming MRI‐guided biopsy. In this paper, we propose a novel Automated Cone‐based Breast Ultrasound Scanning and Biopsy System (ACBUS‐BS) to scan and biopsy breasts of women in prone position. It is based on a previously developed system, called ACBUS, that facilitates MRI‐3D US image fusion imaging of the breast employing a conical container filled with coupling medium. Purpose: The purpose of this study was to introduce the ABCUS‐BS system and demonstrate its feasibility for biopsy of US occult lesions. Method: The biopsy procedure with the ACBUS‐BS comprises four steps: target localization, positioning, preparation, and biopsy. The biopsy outcome can be impacted by 5 types of errors: due to lesion segmentation, MRI‐3D US registration, navigation, lesion tracking during repositioning, and US inaccuracy (due to sound speed difference between the sample and the one used for image reconstruction). For the quantification, we use a soft custom‐made polyvinyl alcohol phantom (PVA) containing eight lesions (three US‐occult and five US‐visible lesions of 10 mm in diameter) and a commercial breast mimicking phantom with a median stiffness of 7.6 and 28 kPa, respectively. Errors of all types were quantified using the custom‐made phantom. The error due to lesion tracking was also quantified with the commercial phantom. Finally, the technology was validated by biopsying the custom‐made phantom and comparing the size of the biopsied material to the original lesion size. The average size of the 10‐mm‐sized lesions in the biopsy specimen was 7.00 ± 0.92 mm (6.33 ± 1.16 mm for US occult lesions, and 7.40 ± 0.55 mm for US‐visible lesions). Results: For the PVA phantom, the errors due to registration, navigation, lesion tracking during repositioning, and US inaccuracy were 1.33, 0.30, 2.12, and 0.55 mm. The total error was 4.01 mm. For the commercial phantom, the error due to lesion tracking was estimated at 1.10 mm, and the total error was 4.11 mm. Given these results, the system is expected to successfully biopsy lesions larger than 8.22 mm in diameter. Patient studies will have to be carried out to confirm this in vivo. Conclusion: The ACBUS‐BS facilitates US‐guided biopsy of lesions detected in pre‐MRI and therefore might offer a low‐cost alternative to MRI‐guided biopsy. We demonstrated the feasibility of the approach by successfully taking biopsies of five US‐visible and three US‐occult lesions embedded in a soft breast‐shaped phantom. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/mp.16323 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 3475 Subjects: – SubjectFull: Breast biopsy Type: general – SubjectFull: Scanning systems Type: general – SubjectFull: Magnetic resonance imaging Type: general – SubjectFull: Image reconstruction algorithms Type: general – SubjectFull: Speed of sound Type: general – SubjectFull: Image reconstruction Type: general – SubjectFull: Digital mammography Type: general – SubjectFull: Image fusion Type: general Titles: – TitleFull: Ultrasound‐guided breast biopsy using an adapted automated cone‐based ultrasound scanner: a feasibility study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nikolaev, Anton V. – PersonEntity: Name: NameFull: de Jong, Leon – PersonEntity: Name: NameFull: Zamecnik, Patrik – PersonEntity: Name: NameFull: Groenhuis, Vincent – PersonEntity: Name: NameFull: Siepel, Françoise J. – PersonEntity: Name: NameFull: Stramigioli, Stefano – PersonEntity: Name: NameFull: Hansen, Hendrik H.G. – PersonEntity: Name: NameFull: de Korte, Chris L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 00942405 Numbering: – Type: volume Value: 50 – Type: issue Value: 6 Titles: – TitleFull: Medical Physics Type: main |
| ResultId | 1 |