A three-dimensional photoacoustic and ultrasound automated breast volume scanner (PAUS-ABVS) for breast cancer patients

Breast cancer screening with mammography is less effective in women with dense breast tissue, prompting the use of ultrasound (US) imaging. While two- (2D) and three-dimensional (3D) US improve cancer detection, their low specificity leads to frequent unnecessary biopsies. Operator dependence on 2D US has led to the development of 3D automated breast volume scanners (ABVS), but challenges remain in distinguishing benign from malignant lesions. We developed a 3D photoacoustic and ultrasound (PAUS)-ABVS system that integrates a large field-of-view, 768-element transducer to improve diagnostic accuracy. In a clinical study of 61 patients with 36 benign and 30 malignant lesions, multispectral photoacoustic imaging was used to measure blood volume and oxygen saturation within lesions. When combined with standard US BI-RADS (breast imaging reporting and data system) scores, the system achieved a sensitivity of 96.7% and specificity of 66.7%. This performance matched the best outcomes of 2D PAUS and outperformed conventional US. Our results suggest that the PAUS-ABVS can support more accurate breast cancer diagnosis while reducing unnecessary biopsies.

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Publication Details

Journal
Science Advances
Published
2025-11-26
DOI
https://doi.org/10.1126/sciadv.adz8585
Citations
1
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
Field-Weighted Citation Impact
0.67
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article

A three-dimensional photoacoustic and ultrasound automated breast volume scanner (PAUS-ABVS) for breast cancer patients

Ki Jong Lee, Sinyoung Park, Jungyung Lee, Nam Sun Paik et al.
1 citations
Science Advances
Photoacoustic and Ultrasonic Imaging
0.67
article

A three-dimensional photoacoustic and ultrasound automated breast volume scanner (PAUS-ABVS) for breast cancer patients

Ki Jong Lee, Sinyoung Park, Jungyung Lee, Nam Sun Paik, Joongho Ahn, Yong-Seok Cho, Chulhong Kim, Jihye Kim, Sung-Sik Park, Eun-Yeong Park, Minsik Sung, Hyunhee Kim
article en
1 citations

Abstract

Breast cancer screening with mammography is less effective in women with dense breast tissue, prompting the use of ultrasound (US) imaging. While two- (2D) and three-dimensional (3D) US improve cancer detection, their low specificity leads to frequent unnecessary biopsies. Operator dependence on 2D US has led to the development of 3D automated breast volume scanners (ABVS), but challenges remain in distinguishing benign from malignant lesions. We developed a 3D photoacoustic and ultrasound (PAUS)-ABVS system that integrates a large field-of-view, 768-element transducer to improve diagnostic accuracy. In a clinical study of 61 patients with 36 benign and 30 malignant lesions, multispectral photoacoustic imaging was used to measure blood volume and oxygen saturation within lesions. When combined with standard US BI-RADS (breast imaging reporting and data system) scores, the system achieved a sensitivity of 96.7% and specificity of 66.7%. This performance matched the best outcomes of 2D PAUS and outperformed conventional US. Our results suggest that the PAUS-ABVS can support more accurate breast cancer diagnosis while reducing unnecessary biopsies.

Science AdvancesVol. 11(48)
Pohang University of Science and Technology (KR), Korea Advanced Institute of Science and Technology (KR), Pohang Iron and Steel (South Korea) (KR), Pohang SeMyeong Christianity Hospital (KR), Pohang TechnoPark (South Korea) (KR), Siemens Healthcare (United States) (US)
Openalex Percentile: Top 24%
Photoacoustic and Ultrasonic Imaging
0.67
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