Evidence map›Paper›PMID 24719185›Full record

ArticleAngiogenesis2014

Multiscale and multi-modality visualization of angiogenesis in a human breast cancer model.

Jana Cebulla, Eugene Kim, Kevin Rhie, Jiangyang Zhang, Arvind P Pathak

Open access · greenAbstract read
In one paragraph

Article in Angiogenesis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.0field-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

22 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Transpathology: molecular imaging-based pathology.European journal of nuclear medicine and molecular imaging · 2021
    Review
  7. Article
  8. Article
  9. MCM3AP-AS1: An Indispensable Cancer-Related LncRNA.Frontiers in cell and developmental biology · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Review of quantitative multiscale imaging of breast cancer.Journal of medical imaging (Bellingham, Wash.) · 2018
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome.Clinical cancer research : an official journal of the American Association for Cancer Research · 2015
    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

5 authors at 3 institutions in 2 countries.

Jana CebullaDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.
Eugene Kim
Kevin Rhie
Jiangyang Zhang
Arvind P Pathak
Johns Hopkins Medicine · USJohns Hopkins University · USNorwegian University of Science and Technology · NO

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Theranostic Imaging of Metastatic Prostate CancerP50CA103175 · NCI · JOHNS HOPKINS UNIVERSITY · PI BARKER, PETER B · 2003 to 2015
$17.9M
Imaging Neonatal Hypoxic Ischemic InjuryR01HD074593 · NICHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FRANCES J NORTHINGTON, JIANGYANG ZHANG · 2013 to 2026
$6.8M
Multiscale Image-based Modeling of Antiangiogenic Resistance in Breast CancerR01CA196701 · NCI · JOHNS HOPKINS UNIVERSITY · PI Arvind P Pathak · 2015 to 2026
$3.6M
Mapping gene expression in the developing mouse brainR01NS070909 · NINDS · JOHNS HOPKINS UNIVERSITY · PI ZHANG, JIANGYANG · 2010 to 2014
$1.7M
NCI NIH HHS P30 CA006973NCI NIH HHS P30CA006973NCI NIH HHS P50 CA103175NCI NIH HHS P50CA103175NCI NIH HHS R01 CA196701NICHD NIH HHS R01 HD074593NINDS NIH HHS R01 NS070909
6 · The paper itself

Abstract

Angiogenesis in breast cancer helps fulfill the metabolic demands of the progressing tumor and plays a critical role in tumor metastasis. Therefore, various imaging modalities have been used to characterize tumor angiogenesis. While micro-CT (μCT) is a powerful tool for analyzing the tumor microvascular architecture at micron-scale resolution, magnetic resonance imaging (MRI) with its sub-millimeter resolution is useful for obtaining in vivo vascular data (e.g. tumor blood volume and vessel size index). However, integration of these microscopic and macroscopic angiogenesis data across spatial resolutions remains challenging. Here we demonstrate the feasibility of 'multiscale' angiogenesis imaging in a human breast cancer model, wherein we bridge the resolution gap between ex vivo μCT and in vivo MRI using intermediate resolution ex vivo MR microscopy (μMRI). To achieve this integration, we developed suitable vessel segmentation techniques for the ex vivo imaging data and co-registered the vascular data from all three imaging modalities. We showcase two applications of this multiscale, multi-modality imaging approach: (1) creation of co-registered maps of vascular volume from three independent imaging modalities, and (2) visualization of differences in tumor vasculature between viable and necrotic tumor regions by integrating μCT vascular data with tumor cellularity data obtained using diffusion-weighted MRI. Collectively, these results demonstrate the utility of 'mesoscopic' resolution μMRI for integrating macroscopic in vivo MRI data and microscopic μCT data. Although focused on the breast tumor xenograft vasculature, our imaging platform could be extended to include additional data types for a detailed characterization of the tumor microenvironment and computational systems biology applications.

Indexed as

Models, BiologicalMultimodal ImagingAnimalsBlood VolumeBreast NeoplasmsCell Line, TumorFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMiceNecrosisNeovascularization, PathologicX-Ray Microtomography

Identifiers

PMID24719185
PMCPMC5538401
OpenAlexW2005935921

What OpenQuestion holds

Textmetadata
LicenceTDM
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.