Evidence map›Paper›PMID 30339271›Full record

ArticleMedical physics2018

Mobile C-Arm with a CMOS detector: Technical assessment of fluoroscopy and Cone-Beam CT imaging performance.

Niral M Sheth, Wojciech Zbijewski, Matthew W Jacobson, Godwin Abiola, Gerhard Kleinszig, Sebastian Vogt, Stefan Soellradl, Jens Bialkowski, William S Anderson, Clifford R Weiss and 2 more

Abstract read
In one paragraph

Article in Medical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

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  14. Comparison of CsI:Tl and GdMedical physics · 2019
    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

12 authors at 3 institutions in 2 countries.

Niral M ShethDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Wojciech ZbijewskiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Matthew W JacobsonDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Godwin AbiolaDepartment of Radiology, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Gerhard KleinszigSiemens Healthineers, Erlangen, Germany.
Sebastian VogtSiemens Healthineers, Erlangen, Germany.
Stefan SoellradlSiemens Healthineers, Erlangen, Germany.
Jens BialkowskiSiemens Healthineers, Erlangen, Germany.
William S AndersonDepartment of Neurosurgery, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Clifford R WeissDepartment of Radiology, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Greg M OsgoodDepartment of Orthopaedic Surgery, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Jeffrey H SiewerdsenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Johns Hopkins University · USSiemens Healthcare (Germany) · DEJohns Hopkins Bayview Medical Center · US

Funding

Intraoperative Imaging for Guidance, Patient Safety, and OR Quality AssuranceR01EB017226 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SIEWERDSEN, JEFFREY H · 2014 to 2017
$2.1M
NIBIB NIH HHS R01 EB017226NIH HHS R01-EB-017226Siemens Healthineers
6 · The paper itself

Abstract

purposeIndirect-detection CMOS flat-panel detectors (FPDs) offer fine pixel pitch, fast readout, and low electronic noise in comparison to current a-Si:H FPDs. This work investigates the extent to which these potential advantages affect imaging performance in mobile C-arm fluoroscopy and cone-beam CT (CBCT).

methodsFPDs based on CMOS (Xineos 3030HS, 0.151 mm pixel pitch) or a-Si:H (PaxScan 3030X, 0.194 mm pixel pitch) sensors were outfitted on equivalent mobile C-arms for fluoroscopy and CBCT. Technical assessment of 2D and 3D imaging performance included measurement of electronic noise, gain, lag, modulation transfer function (MTF), noise-power spectrum (NPS), detective quantum efficiency (DQE), and noise-equivalent quanta (NEQ) in fluoroscopy (with entrance air kerma ranging 5-800 nGy per frame) and cone-beam CT (with weighted CT dose index, CTDI

resultsThe CMOS FPD exhibited ~2-3× lower electronic noise and ~7× lower image lag than the a-Si:H FPD. The 2D (projection) DQE was superior for CMOS at ≤50 nGy per frame, especially at high spatial frequencies (~2% improvement at 0.5 mm

conclusionMeasurements of image noise, spatial resolution, DQE, and NEQ indicate improved low-dose performance for the CMOS-based system, particularly at lower doses and higher spatial frequencies. Assessment in realistic imaging scenarios confirmed improved visibility of fine details in low-dose fluoroscopy and CBCT. The results quantitate the extent to which CMOS detectors improve mobile C-arm imaging performance, especially in 2D and 3D imaging scenarios involving high-resolution tasks and low-dose conditions.

Indexed as

SemiconductorsCone-Beam Computed TomographyEquipment DesignFluoroscopyHumansImaging, Three-DimensionalMetalsOxidesSignal-To-Noise RatioMetalsOxidesamorphous siliconC-armCMOScone-beam CTDQEflat-panel detectorfluoroscopyimage-guided proceduresNEQNPSspatial resolutiontechnical assessment

Identifiers

PMID30339271
PMCPMC6300145
OpenAlexW2896017923

What OpenQuestion holds

Textmetadata
LicenceTDM
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.