Evidence map›Paper›PMID 25285161›Full record

ArticleTheranostics2014

Multiparametric spectroscopic photoacoustic imaging of breast cancer development in a transgenic mouse model.

Katheryne E Wilson, Sunitha V Bachawal, Lu Tian, Jürgen K Willmann

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Theranostics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

31 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Photoacoustic Tomography Opening New Paradigms in Biomedical Imaging.Advances in experimental medicine and biology · 2021
    Article
  10. CD63Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Targeting Long Chain Acyl-CoA Synthetases for Cancer Therapy.International journal of molecular sciences · 2019
    Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article
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

4 authors at 1 institution in 1 country.

Katheryne E Wilson1. Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, School of Medicine, Stanford, California, USA;
Sunitha V Bachawal1. Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, School of Medicine, Stanford, California, USA;
Lu Tian2. Department of Health Research and Policy, Stanford University, School of Medicine, Stanford, California, USA.
Jürgen K Willmann1. Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, School of Medicine, Stanford, California, USA;
Stanford Medicine · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Stanford Molecular Imaging Scholars - SMISR25CA118681 · NCI · STANFORD UNIVERSITY · PI LEVIN, CRAIG S · 2006 to 2015
$5.0M
Molecular Ultrasound for Early Breast Cancer DetectionR01CA155289 · NCI · STANFORD UNIVERSITY · PI WILLMANN, JUERGEN KARL · 2011 to 2015
$1.6M
NCI NIH HHS R01 CA155289NCI NIH HHS R01CA155289-01A1NCI NIH HHS R25 CA118681NCI NIH HHS R25CA118681
6 · The paper itself

Abstract

objectiveTo evaluate the potential of multiparametric spectroscopic photoacoustic imaging using oxygen saturation, total hemoglobin, and lipid content to differentiate among four different breast histologies (normal, hyperplasia, ductal carcinoma in situ (DCIS), and invasive breast carcinoma) in a transgenic mouse model of breast cancer development. MATERIALS AND

methodsAnimal studies were approved by the Institutional Administrative Panel on Laboratory Animal Care. Mammary glands (n=251) of a transgenic mouse model of breast cancer development (FVB/N-Tg(MMTV-PyMT)634Mul) were imaged using B-mode ultrasound and spectroscopic photoacoustic imaging, analyzed for oxygen saturation, total hemoglobin, and lipid content, and processed for histological analysis. Statistical analysis was performed using one-way ANOVA, two-sample t-tests, logistic regression, and ROC analysis.

resultsEighty-two normal, 12 hyperplastic, 96 DCIS, and 61 invasive breast carcinoma mammary glands were analyzed. Based on spectroscopic photoacoustic imaging, the oxygen saturation of hyperplasia (50.6%), DCIS (43.0%), and invasive carcinoma (46.2%) significantly increased compared to normal glands (35.5%, P <0.0001), while both total hemoglobin (P<0.01), and lipid content (P<0.0008) significantly decreased with advancing histology. In differentiating normal and hyperplasia from DCIS and invasive breast carcinoma, multiparametric imaging of oxygen saturation, lipid content, and raw photoacoustic signal at 750 nm provided an AUC value of 0.770.

conclusionMultiparametric spectroscopic photoacoustic imaging is feasible and allows detection of differences in concentration of tissue chromophores among different histologies in a transgenic mouse model of breast cancer development.

Indexed as

AnimalsBreast NeoplasmsCarcinoma, DuctalDiagnostic ImagingDisease Models, AnimalFemaleHemoglobinsLipidsMice, TransgenicOxygenPhotoacoustic TechniquesSpectrum AnalysisUltrasonographyHemoglobinsLipidsOxygenBreast CancerMolecular ImagingPhotoacoustic ImagingSpectroscopic.

Identifiers

PMID25285161
PMCPMC4173758
OpenAlexW2166271233

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.