Evidence map›Paper›PMID 25997030›Full record

ArticleRadiology2015

Label-free Detection of Lymph Node Metastases with US-guided Functional Photoacoustic Imaging.

Geoffrey P Luke, Stanislav Y Emelianov

Abstract read
In one paragraph

Article in Radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

40 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Review
  3. Photoacoustic Fingerprinting for Robust Molecular Imaging.bioRxiv : the preprint server for biology · 2026
    Article
  4. Review
  5. Depth-dependent fluence compensation withoutJournal of biomedical optics · 2025
    Article
  6. ACS nano · 2025
    Article
  7. Evaluation of cervical lymph nodes using multispectral optoacoustic tomography: a proof-of-concept study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Oxygen Imaging for Non-Invasive Metastasis Detection.Sensors (Basel, Switzerland) · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Geoffrey P LukeFrom the Department of Biomedical Engineering, the University of Texas at Austin, 107 W Dean Keeton St, Austin, TX 78712; and Department of Imaging Physics, the University of Texas MD Anderson Cancer Center, Houston, Tex.
Stanislav Y EmelianovFrom the Department of Biomedical Engineering, the University of Texas at Austin, 107 W Dean Keeton St, Austin, TX 78712; and Department of Imaging Physics, the University of Texas MD Anderson Cancer Center, Houston, Tex.
The University of Texas at Austin · US

Funding

Acoustic Imaging of Sentinel Node Metastasis using Plasmonic NanosensorsR01EB008101 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI EMELIANOV, STANISLAV Y, SOKOLOV, KONSTANTIN V · 2007 to 2015
$3.6M
Molecular Photoacoustic Imaging for the Detection of Sentinel Lymph Node MetastasF31CA168168 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI LUKE, GEOFFREY P. · 2012 to 2013
$68k
NCI NIH HHS F31 CA168168NIBIB NIH HHS R01 EB008101
6 · The paper itself

Abstract

purposeTo determine the ability of ultrasonography (US)-guided spectroscopic photoacoustic (sPA) imaging to depict changes in blood oxygen saturation (SO2) in metastatic lymph nodes of a mouse model of oral cancer. MATERIALS AND

methodsAll studies were performed by following protocols approved by the institutional animal care and use committee at the University of Texas at Austin. Coregistered US and photoacoustic images were acquired spanning volumes containing a total of 31 lymph nodes in 17 female nu/nu mice. The mice were either healthy (three mice, five nodes) or bearing a primary tumor consisting of luciferase-labeled FaDu cells (14 mice, 26 nodes). Ten photoacoustic images acquired with optical wavelengths spanning from 680 to 860 nm were spectrally unmixed by using a linear least-squares method to obtain sPA images. After imaging, histologic analysis enabled confirmation of the presence of micrometastases. Generalized estimating equations were used to compare metastatic and normal lymph nodes, with a P value of .05 taken to indicate a significant difference. Sensitivity and specificity were determined with a receiver operator characteristic curve constructed from the background-subtracted SO2 values.

resultsMetastatic lymph nodes (n = 7) exhibited a significantly (P = .018) lower spatially averaged background-subtracted SO2 (mean, 5.4% ± 3.5 [standard error]) when compared with lymph nodes without metastases (mean, 13.7% ± 1.3; n = 24). This effect was observed throughout the entire volume of the nodes rather than being limited to the metastatic foci. The change in SO2, which was inversely related to the size of the metastasis, was detectable in metastases as small as 2.6 × 10(-3) mm(3).

conclusionThe results show that US-guided sPA imaging is capable of depicting changes in SO2 in lymph nodes that were correlated with metastatic invasion.

Indexed as

Photoacoustic TechniquesAlgorithmsAnimalsCarcinoma, Squamous CellDisease Models, AnimalImage Processing, Computer-AssistedLymphatic MetastasisMiceMouth NeoplasmsUltrasonography

Identifiers

PMID25997030
PMCPMC4627438
OpenAlexW1838846301

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.