Evidence map›Paper›PMID 31677256›Full record

ReviewJournal of biomedical optics2019

Photoacoustic imaging of breast cancer: a mini review of system design and image features.

Nikhila Nyayapathi, Jun Xia

Open access · goldAbstract readReview
In one paragraph

Review in Journal of biomedical optics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
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

60 citing papers in PubMed, 139 citations in OpenAlex.

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  11. Advances in Photoacoustic Imaging of Breast Cancer.Sensors (Basel, Switzerland) · 2025
    Review
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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

2 authors at 1 institution in 1 country.

Nikhila NyayapathiUniversity at Buffalo, The State University of New York, Department of Biomedical Engineering, Buffa, United States.
Jun XiaUniversity at Buffalo, The State University of New York, Department of Biomedical Engineering, Buffa, United States.
University at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the leading causes for cancer related deaths in women, and early detection is extremely important to improve survival rates. Currently, x-ray mammogram is the only modality for mass screening of asymptomatic women. However, it has decreased sensitivity in radiographically dense breasts, which is also associated with a higher risk for breast cancer. Photoacoustic (PA) imaging is an emerging modality that enables deep tissue imaging of optical contrast at ultrasonically defined spatial resolution, which is much higher than that can be achieved in purely optical imaging modalities. Because of high optical absorption from hemoglobin molecules, PA imaging can map out hemo distribution and dynamics in breast tissue and identify malignant lesions based on tumor associated angiogenesis and hypoxia. We review various PA breast imaging systems proposed over the past few years and summarize the PA features of breast cancer identified in these systems.

Indexed as

Breast NeoplasmsContrast MediaEarly Detection of CancerFemaleHemoglobinsHumansHypoxiaImage Processing, Computer-AssistedMammographyNeovascularization, PathologicOptical ImagingOptics and PhotonicsPhotoacoustic TechniquesContrast MediaHemoglobinsbiomedical opticsbreast imaginglasersphotoacoustics

Identifiers

PMID31677256
PMCPMC7005545
OpenAlexW2985347975

What OpenQuestion holds

Textmetadata
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.