Evidence map›Paper›PMID 20658286›Full record

ArticleSkeletal radiology2011

Trabecular structure analysis using C-arm CT: comparison with MDCT and flat-panel volume CT.

Catherine M Phan, Eric A Macklin, Miriam A Bredella, Monica Dadrich, Paul Flechsig, Albert J Yoo, Joshua A Hirsch, Rajiv Gupta

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Skeletal radiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-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

9 citing papers in PubMed, 19 citations in OpenAlex.

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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

8 authors at 7 institutions in 2 countries.

Catherine M PhanDepartment of Radiology, Massachusetts General Hospital Neuroradiology, GRB-273A, 55 Fruit Street, Boston, MA 02114, USA. cmphan@partners.org
Eric A Macklin
Miriam A Bredella
Monica Dadrich
Paul Flechsig
Albert J Yoo
Joshua A Hirsch
Rajiv Gupta
Lemuel Shattuck Hospital · USBoston University · USGerman Cancer Research Center · DEHarvard University · USHeidelberg University · DEMassachusetts General Hospital · USMass General Brigham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis paper assesses interscan, interreader, and intrareader variability of C-arm CT and compares it to that of flat-panel volume-CT (fpVCT) and high-definition multi-detector-CT (HD-MDCT).

methodsFive cadaver knee specimens were imaged using C-arm-CT, fpVCT, and HD-MDCT. Apparent (app.) trabecular bone volume fraction (BV/TV), app. trabecular number (TbN), app. trabecular spacing (TbSp), and app. trabecular thickness (TbTh) of the proximal tibia were measured by three readers. Interreader, intrareader, and interscan variability for C-arm CT was expressed as coefficient of variation (CV), standard deviation (SD), and intraclass correlation coefficient (ICC).

resultsWith the exception of app.TbSp (CV: 7.05-9.35%, SD: 0.06-0.09, ICC: 0.89-0.94), the variability of C-arm CT was low (CV: 2.41-6.43%, SD: 0.01-0.048, ICC: 0.65-0.98). Its interreader reliability (CV: 2.66-4.55%, SD: 0.01-0.03, ICC: 0.81-0.95) was comparable to that of HD-MDCT (CV: 2.41-4.08%, SD: 0.014-0.016, ICC: 0.95-0.96), and fpVCT (CV: 3.13-5.63%, SD: 0.009-0.036, ICC: 0.64-0.98) for all parameters except app.TbSp.

conclusionsC-arm CT is a reliable method for assessing trabecular bone architectural parameters with the exception of app.TbSp due to spatial resolution limitation.

Indexed as

AgedCadaverCone-Beam Computed TomographyHumansReproducibility of ResultsTibiaTomography, X-Ray Computed

Identifiers

PMID20658286
OpenAlexW2154459079

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.