Evidence map›Paper›PMID 42449156›Full record

ArticleNpj imaging2026

Investigation of feasibility and diagnostic capability of ultrasound-guided photoacoustic tomography for breast surgical margins.

Yonggeng Goh, Ghayathri Balasundaram, Hui Min Tan, Thomas Choudary Putti, Renzhe Bi, Mikael Hartman, Shaik Ahmad Buhari, Celene Wei Qi Ng, Su Ann Lui, Serene Si Ning Goh and 4 more

Abstract read
In one paragraph

Article in Npj imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Yonggeng Goh *Department of Diagnostic Imaging, National University Hospital, Singapore, Singapore.
Ghayathri Balasundaram *A*STAR Skin Research Labs, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Hui Min Tan *Department of Pathology, National University Hospital, Singapore, Singapore.
Thomas Choudary PuttiDepartment of Pathology, National University Hospital, Singapore, Singapore.
Renzhe BiA*STAR Skin Research Labs, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Mikael HartmanDepartment of Breast Surgery, National University Hospital, Singapore, Singapore.
Shaik Ahmad BuhariDepartment of Breast Surgery, National University Hospital, Singapore, Singapore.
Celene Wei Qi NgDepartment of Breast Surgery, National University Hospital, Singapore, Singapore.
Su Ann LuiDepartment of Breast Surgery, National University Hospital, Singapore, Singapore.
Serene Si Ning GohDepartment of Breast Surgery, National University Hospital, Singapore, Singapore.
Wei Qi LeongDepartment of Breast Surgery, National University Hospital, Singapore, Singapore.
Eric FangDepartment of Diagnostic Imaging, National University Hospital, Singapore, Singapore.
Malini OlivoA*STAR Skin Research Labs, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore. Malini_olivo@a-star.edu.sg.
Swee Tian QuekDepartment of Diagnostic Imaging, National University Hospital, Singapore, Singapore. swee_tian_quek@nuhs.edu.sg.

Funding

Agency for Science, Technology and Research (A*STAR) Central Research FundIndustry Alignment Fund- Prepositioning Programme (IAFPP) H24J4a0145
6 · The paper itself

Abstract

We explored the feasibility and preliminary diagnostic capability of ultrasound-guided photoacoustic (US-PA) tomography for breast cancer margin assessment by analysing PA derived lipid, collagen, and hemoglobin distribution patterns. Fifty-three ex-vivo specimens from breast-conserving surgeries were imaged using a handheld US-PA imaging probe illuminated between 700 and 1100 nm across radial margins. Photoacoustic patterns were analysed and assessed for margin involvement using a proprietary algorithm and compared with standard of care against histopathology as the gold standard. US-PA imaging demonstrated 95.45% sensitivity and 76.33% specificity for margin assessment with a positive predictive value (PPV) of 34.43.% and negative predictive value (NPV) of 99.23%. Clinical standard of care showed 40.91% sensitivity, 88.17% specificity, 31.03% PPV and 91.98% NPV. Analysis of false positives revealed that 75% occurred within 5 mm of the margin, with 35% within 2 mm. Overall, US-PA imaging demonstrated superior sensitivity, specificity, PPV, and NPV compared to standard approaches, supporting its potential to reduce missed positive margins. The high false positive rate, primarily due to close margins and tissue compression effects, reflects a conservative classification strategy. Detection of biochemical markers, particularly collagen highlights potential of US-PA in enhancing margin assessment accuracy, although further refinement is needed to improve specificity.

Identifiers

PMID42449156
PMCPMC13389077

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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.