Evidence map›Paper›PMID 31337926›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2018

Robust Quantitative Assessment of Trabecular Microarchitecture in Extremity Cone-Beam CT Using Optimized Segmentation Algorithms.

M Brehler, Q Cao, K F Moseley, G Osgood, C Morris, S Demehri, J Yorkston, J H Siewerdsen, W Zbijewski

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2018. 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. Review
  3. Guidelines for the assessment of bone density and microarchitecture in vivo using high-resolution peripheral quantitative computed tomography.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
    Article
  4. Quantitative Evaluation of Bone Microstructure using High-Resolution Extremity Cone-Beam CT with a CMOS Detector.Proceedings of SPIE--the International Society for Optical Engineering · 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

9 authors.

M BrehlerDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA.
Q CaoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA.
K F MoseleyDivision of Endocrinology, Diabetes and Metabolism, Johns Hopkins University, Baltimore, MD USA.
G OsgoodDepartment of Orthopedics, Johns Hopkins University, Baltimore, MD USA.
C MorrisDepartment of Orthopedics, Johns Hopkins University, Baltimore, MD USA.
S DemehriDepartment of Radiology, Johns Hopkins University, Baltimore, MD USA.
J YorkstonCarestream Health, Rochester, NY USA.
J H SiewerdsenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA.
W ZbijewskiDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD USA.

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
Quantitative imaging biomarkers of radiation-induced bone loss in radiotherapy patientsR21CA208821 · NCI · JOHNS HOPKINS UNIVERSITY · PI MORRIS, CAROL, ZBIJEWSKI, WOJCIECH BARTOSZ · 2016 to 2017
$388k
NCI NIH HHS R21 CA208821NIBIB NIH HHS R01 EB018896
6 · The paper itself

Abstract

purpose

methodsThe study involved 35 transilliac bone biopsy samples imaged on extremity CBCT (voxel size 75 μm, imaging dose ~13 mGy) and gold standard μCT (voxel size 7.67 μm). CBCT image segmentation was performed using (i) global Otsu's thresholding, (ii) Bernsen's local thresholding, (iii) Bernsen's local thresholding with additional histogram-based global pre-thresholding, and (iv) the same as (iii) but combined with contrast enhancement using a Laplacian Pyramid. Correlations between extremity CBCT with the different segmentation algorithms and gold standard μCT were investigated for measurements of Bone Volume over Total Volume (BV/TV), Trabecular Thickness (Tb.Th), Trabecular Spacing (Tb.Sp), and Trabecular Number (Tb.N).

resultsThe combination of local thresholding with global pre-thresholding and Laplacian contrast enhancement outperformed other CBCT segmentation methods. Using this optimal segmentation scheme, strong correlation between extremity CBCT and μCT was achieved, with Pearson coefficients of 0.93 for BV/TV, 0.89 for Tb.Th, 0.91 for Tb.Sp, and 0.88 for Tb.N (all results statistically significant). Compared to a simple global CBCT segmentation using Otsu's algorithm, the advanced segmentation method achieved ~20% improvement in the correlation coefficient for Tb.Th and ~50% improvement for Tb.Sp.

conclusionsExtremity CBCT combined with advanced image pre-processing and segmentation achieves high correlation with gold standard μCT in measurements of trabecular microstructure. This motivates ongoing development of clinical applications of extremity CBCT in

Indexed as

BV/TVcone-beam CTLaplacian pyramidTb.NTb.SpTb.Thtrabecular boneTrabecular segmentation

Identifiers

PMID31337926
PMCPMC6647835

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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.