Evidence map›Paper›PMID 39103361›Full record

ArticleScientific reports2024

Ultrasound-guided photoacoustic (US-PA) tomography of the breast: Biochemical differentiation using intrinsic tissue markers-lipids, collagen and hemoglobin with histopathologic correlation.

Yonggeng Goh, Ghayathri Balasundaram, Hui Min Tan, Thomas Choudary Putti, Bi Renzhe, Mikael Hartman, Shaik Ahmad Buhari, Celene Wei Qi Ng, Su Ann Lui, Eric Fang and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Advances in Photoacoustic Imaging of Breast Cancer.Sensors (Basel, Switzerland) · 2025
    Review
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Yonggeng Goh *Department of Diagnostic Imaging, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore.
Ghayathri Balasundaram *A*STAR Skin Research Labs (A*SRL), Agency for Science, Technology & Research (A*STAR), 31 Biopolis Way, 07-01, Nanos, Singapore, 138669, Singapore.
Hui Min Tan *Department of Pathology, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore.
Thomas Choudary PuttiDepartment of Pathology, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore.
Bi RenzheA*STAR Skin Research Labs (A*SRL), Agency for Science, Technology & Research (A*STAR), 31 Biopolis Way, 07-01, Nanos, Singapore, 138669, Singapore.
Mikael HartmanDepartment of Breast Surgery, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore.
Shaik Ahmad BuhariDepartment of Breast Surgery, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore.
Celene Wei Qi NgDepartment of Breast Surgery, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore.
Su Ann LuiDepartment of Breast Surgery, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore.
Eric FangDepartment of Diagnostic Imaging, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore.
Swee Tian QuekDepartment of Diagnostic Imaging, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore. swee_tian_quek@nuhs.edu.sg.
Malini OlivoA*STAR Skin Research Labs (A*SRL), Agency for Science, Technology & Research (A*STAR), 31 Biopolis Way, 07-01, Nanos, Singapore, 138669, Singapore. malini_olivo@ibb.a-star.edu.sg.

Funding

Agency for Science, Technology and Research (A*STAR) Central Research Fund (UIBR) 2021National Medical Research Council, Singapore ClinicianScientist individual research grant- new investigator grantNational Research Foundation, Singapore IAFPP fund (H19H6a0025)
6 · The paper itself

Abstract

In this pilot study, we investigated the utility of handheld ultrasound-guided photoacoustic (US-PA) imaging probe for analyzing ex-vivo breast specimens obtained from female patients who underwent breast-conserving surgery (BCS). We aimed to assess the potential of US-PA in detecting biochemical markers such as collagen, lipids, and hemoglobin, and compare these findings with routine imaging modalities (mammography, ultrasound) and histopathology results, particularly across various breast densities. Twelve ex-vivo breast specimens were obtained from female patients with a mean age of 59.7 ± 9.5 years who underwent BCS. The tissues were illuminated using handheld US-PA probe between 700 and 1100 nm across all margins and analyzed for collagen, lipids, and hemoglobin distribution. The obtained results were compared with routine imaging and histopathological assessments. Our findings revealed that lipid intensity and distribution decreased with increasing breast density, while collagen exhibited an opposite trend. These observations were consistent with routine imaging and histopathological analyses. Moreover, collagen intensity significantly differed (P < 0.001) between cancerous and normal breast tissue, indicating its potential as an additional biomarker for risk stratification across various breast conditions. The study results suggest that a combined assessment of PA biochemical information, such as collagen and lipid content, superimposed on grey-scale ultrasound findings could aid in distinguishing between normal and malignant breast conditions, as well as assist in BCS margin assessment. This underscores the potential of US-PA imaging as a valuable tool for enhancing breast cancer diagnosis and management, offering complementary information to existing imaging modalities and histopathology.

Indexed as

Breast NeoplasmsCollagenHemoglobinsLipidsPhotoacoustic TechniquesAgedBiomarkersBreastFemaleHumansMiddle AgedPilot ProjectsTomographyUltrasonography, MammaryBiomarkersCollagenHemoglobinsLipids

Identifiers

PMID39103361
PMCPMC11300771

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.