Evidence map›Paper›PMID 41296862›Full record

ArticleScience advances2025

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

Sinyoung Park, Minsik Sung, Hyunhee Kim, Ki Jong Lee, Eun-Yeong Park, Joongho Ahn, Sung Sik Park, Ji-Hye Kim, Yongseok Cho, Jungyung Lee and 2 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Photoacoustic imaging of intestinal physiological biomarkers in infants and children.medRxiv : the preprint server for health sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Sinyoung ParkDepartments of Electrical Engineering, Mechanical Engineering, Convergence IT Engineering, Medical Science and Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea.ORCID 0000-0002-2721-0441
Minsik SungDepartments of Electrical Engineering, Mechanical Engineering, Convergence IT Engineering, Medical Science and Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea.ORCID 0009-0008-1615-5177
Hyunhee KimDepartments of Electrical Engineering, Mechanical Engineering, Convergence IT Engineering, Medical Science and Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea.ORCID 0000-0003-3241-3638
Ki Jong LeeDepartments of Electrical Engineering, Mechanical Engineering, Convergence IT Engineering, Medical Science and Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea.
Eun-Yeong ParkDepartment of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.ORCID 0000-0002-8643-3274
Joongho AhnDepartments of Electrical Engineering, Mechanical Engineering, Convergence IT Engineering, Medical Science and Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea.ORCID 0000-0002-5355-4125
Sung Sik ParkSiemens Healthineers, Pohang, Republic of Korea.
Ji-Hye KimDepartment of Breast and Thyroid Surgery, SM Christianity Hospital, Pohang, Gyeongbuk, Republic of Korea.
Yongseok ChoDepartment of Breast and Thyroid Surgery, SM Christianity Hospital, Pohang, Gyeongbuk, Republic of Korea.
Jungyung LeeDepartment of Breast and Thyroid Surgery, SM Christianity Hospital, Pohang, Gyeongbuk, Republic of Korea.ORCID 0009-0005-5387-2819
Namsun PaikDepartment of Breast and Thyroid Surgery, SM Christianity Hospital, Pohang, Gyeongbuk, Republic of Korea.ORCID 0000-0002-2733-2828
Chulhong KimDepartments of Electrical Engineering, Mechanical Engineering, Convergence IT Engineering, Medical Science and Engineering, and Medical Device Innovation Center, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea.ORCID 0000-0001-7249-1257

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BreastBreast NeoplasmsImaging, Three-DimensionalPhotoacoustic TechniquesUltrasonography, MammaryAdultAgedFemaleHumansMiddle AgedSensitivity and Specificity

Identifiers

PMID41296862
PMCPMC12652285

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.