Evidence map›Paper›PMID 28389933›Full record

ArticleJournal of bone and mineral metabolism2018

Effect of radiation dose reduction on texture measures of trabecular bone microstructure: an in vitro study.

Muthu Rama Krishnan Mookiah, Thomas Baum, Kai Mei, Felix K Kopp, Georg Kaissis, Peter Foehr, Peter B Noel, Jan S Kirschke, Karupppasamy Subburaj

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In one paragraph

Article in Journal of bone and mineral metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Feasibility of opportunistic osteoporosis screening in routine contrast-enhanced multi detector computed tomography (MDCT) using texture analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018
    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.

Muthu Rama Krishnan MookiahPillar of Engineering Product Development, Singapore University of Technology and Design, Singapore, Singapore.
Thomas BaumDepartment of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Kai MeiDepartment of Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Felix K KoppDepartment of Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Georg KaissisDepartment of Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Peter FoehrDepartment of Orthopaedics and Sports Orthopaedics, Biomechanical Laboratory, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Peter B NoelDepartment of Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Jan S KirschkeDepartment of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Karupppasamy SubburajPillar of Engineering Product Development, Singapore University of Technology and Design, Singapore, Singapore. subburaj@sutd.edu.sg.

Funding

Deutsche Forschungsgemeinschaft (DFG) BA 4085/2-1Deutsche Forschungsgemeinschaft (DFG) BA 4906/1-1Singapore University of Technology and Design (SUTD) Start-up Research Grant SRG EPD 2015 093TUM Faculty of Medicine grant H-01
6 · The paper itself

Abstract

Osteoporosis is characterized by bone loss and degradation of bone microstructure leading to fracture particularly in elderly people. Osteoporotic bone degeneration and fracture risk can be assessed by bone mineral density and trabecular bone score from 2D projection dual-energy X-ray absorptiometry images. However, multidetector computed tomography image based quantification of trabecular bone microstructure showed significant improvement in prediction of fracture risk beyond that from bone mineral density and trabecular bone score; however, high radiation exposure limits its use in routine clinical in vivo examinations. Hence, this study investigated reduction of radiation dose and its effects on image quality of thoracic midvertebral specimens. Twenty-four texture features were extracted to quantify the image quality from multidetector computed tomography images of 11 thoracic midvertebral specimens, by means of statistical moments, the gray-level co-occurrence matrix, and the gray-level run-length matrix, and were analyzed by an independent sample t-test to observe differences in image texture with respect to radiation doses of 80, 150, 220, and 500 mAs. The results showed that three features-namely, global variance, energy, and run percentage, were not statistically significant ([Formula: see text]) for low doses with respect to 500 mAs. Hence, it is evident that these three dose-independent features can be used for disease monitoring with a low-dose imaging protocol.

Indexed as

Image Processing, Computer-AssistedRadiation DosageAbsorptiometry, PhotonAgedBone DensityCancellous BoneDose-Response Relationship, RadiationFemaleHumansMaleMiddle AgedMultidetector Computed TomographyTomography, X-Ray ComputedOsteoporosisRadiation doseTexture analysisTrabecular bone microstructureVertebra

Identifiers

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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.