Evidence map›Paper›PMID 25599933›Full record

ArticleEuropean radiology2015

Assessment of image quality in soft tissue and bone visualization tasks for a dedicated extremity cone-beam CT system.

S Demehri, A Muhit, W Zbijewski, J W Stayman, J Yorkston, N Packard, R Senn, D Yang, D Foos, G K Thawait and 4 more

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in European radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
–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

49 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. New imaging techniques and trends in radiology.Diagnostic and interventional radiology (Ankara, Turkey) · 2025
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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

14 authors.

S DemehriThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, 21287, USA, demehri2001@yahoo.com.
A Muhit
W Zbijewski
J W Stayman
J Yorkston
N Packard
R Senn
D Yang
D Foos
G K Thawait
L M Fayad
A Chhabra
J A Carrino
J H Siewerdsen

Funding

Image Science for the New X-ray: Taking NEQ to TaskR01CA112163 · NCI · UNIVERSITY HEALTH NETWORK · PI SIEWERDSEN, JEFFREY H · 2006 to 2014
$2.1M
Dual-Energy Cone-Beam Tomographic Imaging and Analysis for Rheumatoid ArthritisR21AR062293 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI SIEWERDSEN, JEFFREY H · 2013 to 2014
$379k
Development, Function and Repair of the Muscle CellR13AR062993 · NIAMS · SOCIETY FOR MUSCLE BIOLOGY · PI BAYLIES, MARY K · 2012 to 2012
$20k
NCI NIH HHS 2R01-CA-112163NCI NIH HHS R01 CA112163NIAMS NIH HHS R21 AR062293NIAMS NIH HHS R21-AR-062993
6 · The paper itself

Abstract

objectiveTo assess visualization tasks using cone-beam CT (CBCT) compared to multi-detector CT (MDCT) for musculoskeletal extremity imaging.

methodsTen cadaveric hands and ten knees were examined using a dedicated CBCT prototype and a clinical multi-detector CT using nominal protocols (80 kVp-108mAs for CBCT; 120 kVp- 300 mAs for MDCT). Soft tissue and bone visualization tasks were assessed by four radiologists using five-point satisfaction (for CBCT and MDCT individually) and five-point preference (side-by-side CBCT versus MDCT image quality comparison) rating tests. Ratings were analyzed using Kruskal-Wallis and Wilcoxon signed-rank tests, and observer agreement was assessed using the Kappa-statistic.

resultsKnee CBCT images were rated "excellent" or "good" (median scores 5 and 4) for "bone" and "soft tissue" visualization tasks. Hand CBCT images were rated "excellent" or "adequate" (median scores 5 and 3) for "bone" and "soft tissue" visualization tasks. Preference tests rated CBCT equivalent or superior to MDCT for bone visualization and favoured the MDCT for soft tissue visualization tasks. Intraobserver agreement for CBCT satisfaction tests was fair to almost perfect (κ ~ 0.26-0.92), and interobserver agreement was fair to moderate (κ ~ 0.27-0.54).

conclusionCBCT provided excellent image quality for bone visualization and adequate image quality for soft tissue visualization tasks. KEY POINTS: • CBCT provided adequate image quality for diagnostic tasks in extremity imaging. • CBCT images were "excellent" for "bone" and "good/adequate" for "soft tissue" visualization tasks. • CBCT image quality was equivalent/superior to MDCT for bone visualization tasks.

Indexed as

Adipose TissueAttitude of Health PersonnelBone and BonesCartilage, ArticularCone-Beam Computed TomographyConnective TissueConsumer BehaviorHandHumansKnee JointLigamentsMultidetector Computed TomographyMuscle, SkeletalMusculoskeletal SystemObserver VariationPhantoms, Imaging

Identifiers

PMID25599933
PMCPMC13126128

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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.