Evidence map›Paper›PMID 31849204›Full record

ArticleJournal of biomedical optics2019

Opto-acoustic imaging of relative blood oxygen saturation and total hemoglobin for breast cancer diagnosis.

Jason Zalev, Lisa M Richards, Bryan A Clingman, Jeff Harris, Edgar Cantu, Gisela L G Menezes, Carlos Avila, Allison Bertrand, Xavier Saenz, Steve Miller and 2 more

Open access · goldAbstract read
In one paragraph

Article 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Advances in Photoacoustic Imaging of Breast Cancer.Sensors (Basel, Switzerland) · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
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 at 3 institutions in 2 countries.

Jason ZalevSeno Medical Instruments, Inc., San Antonio, Texas, United States.
Lisa M RichardsSeno Medical Instruments, Inc., San Antonio, Texas, United States.
Bryan A ClingmanSeno Medical Instruments, Inc., San Antonio, Texas, United States.
Jeff HarrisSeno Medical Instruments, Inc., San Antonio, Texas, United States.
Edgar CantuSeno Medical Instruments, Inc., San Antonio, Texas, United States.
Gisela L G MenezesSeno Medical Instruments, Inc., San Antonio, Texas, United States.
Carlos AvilaSeno Medical Instruments, Inc., San Antonio, Texas, United States.
Allison BertrandSeno Medical Instruments, Inc., San Antonio, Texas, United States.
Xavier SaenzSeno Medical Instruments, Inc., San Antonio, Texas, United States.
Steve MillerSeno Medical Instruments, Inc., San Antonio, Texas, United States.
Alexander A OraevskyTomoWave Laboratories, Inc., Houston, Texas, United States.
Michael C KoliosRyerson University, Department of Physics, Toronto, Ontario, Canada.
Seno Medical (United States) · USToronto Metropolitan University · CATomoWave Laboratories (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Opto-acoustic imaging involves using light to produce sound waves for visualizing blood in biological tissue. By using multiple optical wavelengths, diagnostic images of blood oxygen saturation and total hemoglobin are generated using endogenous optical contrast, without injection of any external contrast agent and without using any ionizing radiation. The technology has been used in recent clinical studies for diagnosis of breast cancer to help distinguish benign from malignant lesions, potentially reducing the need for biopsy through improved diagnostic imaging accuracy. To enable this application, techniques for mapping oxygen saturation differences within tissue are necessary. Using biologically relevant opto-acoustic phantoms, we analyze the ability of an opto-acoustic imaging system to display colorized parametric maps that are generated using a statistical mapping approach. To mimic breast tissue, a material with closely matching properties for optical absorption, optical scattering, acoustic attenuation, and speed of sound is used. The phantoms include two vessels filled with whole blood at oxygen saturation levels determined using a sensor-based approach. A flow system with gas-mixer and membrane oxygenator adjusts the oxygen saturation of each vessel independently. Datasets are collected with an investigational Imagio

Indexed as

BreastBreast NeoplasmsFemaleHemoglobinsHumansImage Interpretation, Computer-AssistedOximetryOxygenPhantoms, ImagingPhotoacoustic TechniquesHemoglobinsOxygenblood oxygen saturationbreast cancer diagnosisopto-acoustic imagingrelative color maptissue realistic phantom

Identifiers

PMID31849204
PMCPMC7005558
OpenAlexW2995737717

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.