Evidence map›Paper›PMID 19259247›Full record

ArticleOptics express2009

Retinal tumor imaging and volume quantification in mouse model using spectral-domain optical coherence tomography.

Marco Ruggeri, Gavriil Tsechpenakis, Shuliang Jiao, Maria Elena Jockovich, Colleen Cebulla, Eleut Hernandez, Timothy G Murray, Carmen A Puliafito

Abstract read
In one paragraph

Article in Optics express, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Retinoblastoma, the visible CNS tumor: A review.Journal of neuroscience research · 2019
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Optical coherence tomography: future trends for imaging in glaucoma.Optometry and vision science : official publication of the American Academy of Optometry · 2012
    Review
  14. Article
  15. Article
  16. Optical coherence tomography: history, current status, and laboratory work.Investigative ophthalmology & visual science · 2011
    Review
  17. Article
  18. Article
  19. Article
  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

8 authors.

Marco RuggeriBascom Palmer Eye Institute, University of Miami Miller School of Medicine 1638 NW 10th Ave. Miami, FL 33136, USA.
Gavriil Tsechpenakis
Shuliang Jiao
Maria Elena Jockovich
Colleen Cebulla
Eleut Hernandez
Timothy G Murray
Carmen A Puliafito

Funding

Shared Equipment ModuleP30EY014801 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Victor L Perez · 2004 to 2026
$12.2M
Full polarization characterization by OCTR01CA092415 · NCI · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2003 to 2006
$1.3M
Ophthalmic imaging of small animal models of ocular diseasesR21EB008800 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JIAO, SHULIANG · 2008 to 2009
$406k
NCI NIH HHS R01 CA092415NEI NIH HHS EY014801NIBIB NIH HHS 1R21 EB008800-01NIBIB NIH HHS R21 EB008800
6 · The paper itself

Abstract

We have successfully imaged the retinal tumor in a mouse model using an ultra-high resolution spectral-domain optical coherence tomography (SD-OCT) designed for small animal retinal imaging. For segmentation of the tumor boundaries and calculation of the tumor volume, we developed a novel segmentation algorithm. The algorithm is based on parametric deformable models (active contours) and is driven by machine learning-based region classification, namely a Conditional Random Field. With this algorithm we are able to obtain the tumor boundaries automatically, while the user can specify additional constraints (points on the boundary) to correct the segmentation result, if needed. The system and algorithm were successfully applied to studies on retinal tumor progression and monitoring treatment effects quantitatively in a mouse model of retinoblastoma.

Indexed as

AlgorithmsAnimalsCinnamatesDisease Models, AnimalImage Processing, Computer-AssistedLuteinizing Hormone, beta SubunitMiceMice, Inbred BALB CMice, TransgenicRetinal NeoplasmsRetinoblastomaTomography, Optical CoherenceVascular Endothelial Growth Factor Receptor-2CinnamatesLuteinizing Hormone, beta SubunitSU 1498Vascular Endothelial Growth Factor Receptor-2

Identifiers

PMID19259247
PMCPMC2718719

What OpenQuestion holds

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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.