Evidence map›Paper›PMID 23837536›Full record

ArticleMinimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy2013

Image quality improvements in C-Arm CT (CACT) for liver oncology applications: preliminary study in rabbits.

Vania Tacher, Nikhil Bhagat, Pramod V Rao, Mingde Lin, Dirk Schäfer, Niels Noordhoek, Peter Eshuis, Alessandro Radaelli, Eleni Liapi, Michael Grass and 1 more

Abstract read
In one paragraph

Article in Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Dose reduction in cone-beam CT scanning for intracranial stent deployment before coil embolization of intracranial wide-neck aneurysms.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2016
    Article
  3. Review
  4. 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

11 authors.

Vania TacherJohns Hopkins Hospital, Interventional Radiology , Baltimore, MD , USA.
Nikhil Bhagat
Pramod V Rao
Mingde Lin
Dirk Schäfer
Niels Noordhoek
Peter Eshuis
Alessandro Radaelli
Eleni Liapi
Michael Grass
Jean-François Geschwind

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
See, Reach, Treat Tumor-Optimized Transarterial Chemoembolization DrugDeliveryR01CA160771 · NCI · YALE UNIVERSITY · PI GESCHWIND, JEAN-FRANCOIS H, LIN, MINGDE · 2011 to 2015
$2.6M
NCI NIH HHS P30 CA006973NCI NIH HHS R01 CA160771
6 · The paper itself

Abstract

introductionC-Arm CT (CACT) is a new imaging modality in liver oncology therapy that allows for the acquisition of 3D images intra-procedurally. CACT has been used to enhance intra-arterial therapies for the liver by improving lesion detection, avoiding non-target embolization, and allowing for more selective delivery of agents. However, one of the limitations of this technology is image artifacts created by respiratory motion. PURPOSE: To determine in this preliminary study improvements in image acquisition, motion compensation, and high resolution 3D reconstruction that can improve CACT image quality (IQ). MATERIAL AND

methodsThree adult male New Zealand white rabbits were used for this study. First, a control rabbit was used to select the best x-ray acquisition imaging protocol and then two rabbits were implanted with liver tumor to further develop 3D image reconstruction and motion compensation algorithms.

resultsThe best IQ was obtained using the low 80 kVp protocol with motion compensated reconstruction with high resolution and fast acquisition speed (60 fps, 5 s/scan, and 312 images).

conclusionIQ improved by: (1) decreasing acquisition time, (2) applying motion-compensated reconstruction, and (3) high resolution 3D reconstruction. The findings of this study can be applied to future animal studies and eventually could be translated into the clinical environment.

Indexed as

AlgorithmsAnimalsImaging, Three-DimensionalLiver Neoplasms, ExperimentalMaleMotionRabbitsTime FactorsTomography, X-Ray Computed

Identifiers

PMID23837536
PMCPMC3859124

What OpenQuestion holds

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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.