Evidence map›Paper›PMID 31384094›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2019

Quantitative Cone-Beam CT of Bone Mineral Density Using Model-Based Reconstruction.

Q Cao, A Sisniega, J W Stayman, J Yorkston, J H Siewerdsen, W Zbijewski

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Flat-panel conebeam CT in the clinic: history and current state.Journal of medical imaging (Bellingham, Wash.) · 2021
    Article
  4. Article
  5. 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

6 authors.

Q CaoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA 21205.
A SisniegaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA 21205.
J W StaymanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA 21205.
J YorkstonCarestream Health, Rochester, NY USA.
J H SiewerdsenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA 21205.
W ZbijewskiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA 21205.

Funding

Quantitative high resolution cone beam CT for assessment of bone and joint healthR01EB018896 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI ZBIJEWSKI, WOJCIECH BARTOSZ · 2014 to 2017
$2.0M
Monitoring of fractures with internal fixators using weight-bearing quantitative cone beam CTR01EB025470 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI STAYMAN, JOSEPH WEBSTER, ZBIJEWSKI, WOJCIECH BARTOSZ · 2018 to 2021
$1.5M
NIBIB NIH HHS R01 EB018896NIBIB NIH HHS R01 EB025470
6 · The paper itself

Abstract

purposeWe develop and validate a model-based framework for artifact correction and image reconstruction to enable application of Cone-Beam CT (CBCT) in quantitative assessment of bone mineral density (BMD). Compared to conventional quantitative CT, this approach does not require a BMD calibration phantom in the field-of-view during an object scan.

methodsThe quantitative CBCT (qCBCT) imaging framework combined fast Monte Carlo (MC) scatter estimation, accurate models of detector response, and polyenergetic Poisson likelihood (PolyPL, Elbakri

resultsThe PolyPL framework achieved accuracy of 20 mg/mL or better across all insert densities and experimental configurations. By comparison, the accuracy of the FDK-based BMD estimates deteriorated with higher mineralization, resulting in ~120 mg/mL error for a 500 mg/mL Ca insert. Additionally, the model-based approach mitigated residual streaks that were present in FDK reconstructions. The CV of both methods was ~15% at 50 mg/mL Ca and less than ~8% for higher density inserts, where the PolyPL framework achieved 20-25% lower CV than the FDK-based approach.

conclusionAccurate and reproducible BMD measurements can be achieved in extremity CBCT, supporting clinical applications in quantitative monitoring of fracture risk, osteoporosis treatment, and early osteoarthritis.

Indexed as

bone mineral densitycone-beam CTextremities imagingmodel-based iterative reconstruction

Identifiers

PMID31384094
PMCPMC6681810

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Registered trials

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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.