Evidence map›Paper›PMID 23304269›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012

Data analysis: evaluation of nanoscale contrast agent enhanced CT scan to differentiate between benign and malignant lung cancer in mouse model.

Robert C Bell, Deevakar Rogith, Craig W Johnson, Cristian T Badea, Khannan K Athreya, Gabriela Espinosa, Darin Clark, A Paiman Ghafoori, Yifan Li, David G Kirsch and 2 more

Open access · greenAbstract read
PubMed Full text at PMC
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. 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, top 98% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 1 institution in 1 country.

Robert C BellSchool of Biomedical Informatics, The University of Texas Health Sciences Center at Houston, Houston, TX 77030, USA.
Deevakar Rogith
Craig W Johnson
Cristian T Badea
Khannan K Athreya
Gabriela Espinosa
Darin Clark
A Paiman Ghafoori
Yifan Li
David G Kirsch
Ananth Annapragada
Ketankumar Ghaghada
The University of Texas Health Science Center · US

Funding

U OF TEXAS HLTH SCI CTR HOUSTON CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR024148 · NCRR · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2006 to 2010
$27.9M
INTEGRATED CENTER FOR IN VIVO MICROSCOPYP41EB015897 · NIBIB · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2012 to 2017
$7.4M
NCRR NIH HHS UL1 RR024148NIBIB NIH HHS P41 EB015897
6 · The paper itself

Abstract

Proposed is a method for statistical analysis for a small sample size, repeated measure experiment with nesting factors. In the original experiment the Student t-test was used for analysis. Using the same data, we modeled the experiment into two groups of mice with benign and malignant primary lung tumors. 4 tumor nodules were selected from each mouse (N= 36). The dependent variables are the volume, diameter, and signal attenuation measured using computed tomography (CT). The measurements are made before injecting the contrast and at 0, 72, and 168 hours after injection. The contrast agent enhances tumor nodule volume and volume differences between benign and malignant tumor nodules measured across time (p < 0.05). The signal attenuation measured across time differentiates between benign and malignant groups (p < 0.05). There is significant correlation between rate of change of volume and diameter of tumor. The advantages of this statistical method are discussed.

Indexed as

NanoparticlesAnimalsContrast MediaDiagnosis, DifferentialDisease Models, AnimalLiposomesLung NeoplasmsMiceProto-Oncogene Proteins p21(ras)Tomography, X-Ray ComputedTumor BurdenContrast MediaHras protein, mouseLiposomesProto-Oncogene Proteins p21(ras)

Identifiers

PMID23304269
PMCPMC3540499
OpenAlexW161017446

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.