Evidence map›Paper›PMID 18592006›Full record

ArticleNeoplasia (New York, N.Y.)2008

Morphologic changes of mammary carcinomas in mice over time as monitored by flat-panel detector volume computed tomography.

Jeannine Missbach-Guentner, Christian Dullin, Sarah Kimmina, Marta Zientkowska, Melanie Domeyer-Missbach, Cordula Malz, Eckhardt Grabbe, Walter Stühmer, Frauke Alves

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Neoplasia (New York, N.Y.), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.7field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

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  14. The War on Cancer rages on.Neoplasia (New York, N.Y.) · 2009
    Article
  15. Neoplasia: the second decade.Neoplasia (New York, N.Y.) · 2008
    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

9 authors at 2 institutions in 1 country.

Jeannine Missbach-GuentnerDepartment of Hematology and Oncology, University Medicine, Robert-Koch-Str. 40, 37075 Göttingen, Germany.
Christian Dullin
Sarah Kimmina
Marta Zientkowska
Melanie Domeyer-Missbach
Cordula Malz
Eckhardt Grabbe
Walter Stühmer
Frauke Alves
University of Göttingen · DEMax Planck Institute of Experimental Medicine · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noninvasive methods are strongly needed to detect and quantify not only tumor growth in murine tumor models but also the development of vascularization and necrosis within tumors. This study investigates the use of a new imaging technique, flat-panel detector volume computed tomography (fpVCT), to monitor in vivo tumor progression and structural changes within tumors of two murine carcinoma models. After tumor cell inoculation, single fpVCT scans of the entire mice were performed at different time points. The acquired isotropic, high-resolution volume data sets enable an accurate real-time assessment and precise measurements of tumor volumes. Spreading of contrast agent-containing blood vessels around and within the tumors was clearly visible over time. Furthermore, fpVCT permits the identification of differences in the uptake of contrast media within tumors, thus delineating necrosis, tumor tissues, and blood vessels. Classification of tumor tissues based on the decomposition of the underlying mixture distribution of tissue-related Hounsfield units allowed the quantitative acquisition of necrotic tissues at each time point. Morphologic alterations of the tumor depicted by fpVCT were confirmed by histopathologic examination. Concluding, our data show that fpVCT may be highly suitable for the noninvasive evaluation of tumor responses to anticancer therapies during the course of the disease.

Indexed as

AnimalsBreast NeoplasmsCarcinomaCell ProliferationComputer SimulationCone-Beam Computed TomographyDisease ProgressionFemaleHumansMiceMice, SCIDModels, BiologicalNeoplasm TransplantationNeovascularization, PathologicRadiographic Image Interpretation, Computer-AssistedSensitivity and Specificity

Identifiers

PMID18592006
PMCPMC2435003
OpenAlexW1905364236

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.