Evidence map›Paper›PMID 38260707›Full record

ArticlebioRxiv : the preprint server for biology2024

Contrast-enhanced photon-counting micro-CT of tumor xenograft models.

Mengzhou Li, Xiaodong Guo, Amit Verma, Alena Rudkouskaya, Antigone M McKenna, Xavier Intes, Ge Wang, Margarida Barroso

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Mengzhou LiDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.ORCID 0000-0002-0192-5422
Xiaodong GuoDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Amit VermaDepartment of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA.
Alena RudkouskayaDepartment of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA.
Antigone M McKennaCenter for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
Xavier IntesDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.ORCID 0000-0001-5868-4845
Ge WangDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.ORCID 0000-0001-8295-1659
Margarida BarrosoDepartment of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208, USA.ORCID 0000-0002-0407-3181
Rensselaer Polytechnic Institute · USAlbany Medical Center Hospital · US

Funding

In vivo Macroscopic Fluorescence Lifetime Molecular Optical ImagingR01CA250636 · NCI · RENSSELAER POLYTECHNIC INSTITUTE · PI BARROSO, MARGARIDA, INTES, XAVIER · 2020 to 2023
$2.9M
Photon-counting X-ray and Optical Tomography for Preclinical Cancer ResearchR01CA237267 · NCI · RENSSELAER POLYTECHNIC INSTITUTE · PI BARROSO, MARGARIDA, INTES, XAVIER · 2019 to 2023
$2.9M
NCI NIH HHS R01 CA237267NCI NIH HHS R01 CA250636
6 · The paper itself

Abstract

Photon-counting micro computed tomography (micro-CT) offers new potential in preclinical imaging, particularly in distinguishing materials. It becomes especially helpful when combined with contrast agents, enabling the differentiation of tumors from surrounding tissues. There are mainly two types of contrast agents in the market for micro-CT: small molecule-based and nanoparticle-based. However, despite their widespread use in liver tumor studies, there is a notable gap in research on the application of these commercially available agents for photon-counting micro-CT in breast and ovarian tumors. Herein, we explored the effectiveness of these agents in differentiating tumor xenografts from various origins (AU565, MDA-MB-231, and SKOV-3) in nude mice, using photon-counting micro-CT. Specifically, ISOVUE-370 (a small molecule-based agent) and Exitrone Nano 12000 (a nanoparticle-based agent) were investigated in this context. To improve tumor visualization, we proposed a novel color visualization method for photon-counting micro-CT, which changes color tones to highlight contrast media distribution, offering a robust alternative to traditional material decomposition methods with less computational demand. Our

Indexed as

color visualizationcomputed tomographycontrast agentlive animalPhoton-counting micro-CTpreclinicaltumor imagingtumor xenografts

Identifiers

PMID38260707
PMCPMC10802390
OpenAlexW4390649688

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.