Evidence map›Paper›PMID 41061070›Full record

ArticleScience advances2025

High-speed photoacoustic and ultrasonic computed tomography of the breast tumor for early diagnosis with enhanced accuracy.

Keer Huang, Peifen Fu, Hengyue Zhu, Jingyi Feng, Liang Zhang, Baohua Wang, Yuexin Lu, Di Zhang, Minya Yao, Luyan Chen and 10 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

20 authors.

Keer HuangThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.ORCID 0009-0001-8492-3739
Peifen FuThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Hengyue ZhuCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China.ORCID 0009-0008-4834-6613
Jingyi FengThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Liang ZhangCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China.
Baohua WangThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Yuexin LuThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.ORCID 0000-0002-1672-3954
Di ZhangThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Minya YaoThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Luyan ChenThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.ORCID 0000-0002-3999-9953
Yue YingCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China.
Jiali ChenCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China.
Xiaolong LiCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China.ORCID 0009-0008-2360-2529
Yang WuCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0001-6677-2378
Wei XiongThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Jun LiThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Yaping WuThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Jing SunThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
Hong ZhangCollege of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-4084-5150
Li LinThe First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.ORCID 0000-0002-0517-8436

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed a high-speed dual-modal imaging system (HDMI), designed to concurrently reveal anatomical and hematogenous details of the human breast within seconds. Through innovative system design and technical advancements, HDMI integrates large-view photoacoustic and ultrasonic computed tomography with standardized scanning and batch data processing for computer-aided diagnosis. It achieves dual-modal imaging at a 10-hertz frame rate and completes a whole-breast scan in 12 seconds, providing penetration up to 5 centimeters in vivo. In a clinical study involving 170 patients with 186 breast tumors, we developed a diagnostic model leveraging combined photoacoustic and ultrasound features. In a triple-blinded comparison using pathological diagnosis as the ground truth, HDMI significantly improved diagnostic specificity from 22.5 to 75.0% compared to clinical ultrasonography. This technology shows strong potential for early breast tumor diagnosis, offering enhanced accuracy without the need for ionizing radiation, exogenous contrast agents, pain, invasiveness, operator dependence, or extended examination times.

Indexed as

Breast NeoplasmsEarly Detection of CancerPhotoacoustic TechniquesTomography, X-Ray ComputedAdultAgedFemaleHumansMiddle AgedUltrasonography, Mammary

Identifiers

PMID41061070
PMCPMC12506975

What OpenQuestion holds

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LicenceCC BY
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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.