Evidence map›Paper›PMID 31276944›Full record

ArticleComputers in biology and medicine2019

Comparing rib cortical thickness measurements from computed tomography (CT) and Micro-CT.

Zachary S Hostetler, Joel D Stitzel, Ashley A Weaver

Abstract read
In one paragraph

Article in Computers in biology and medicine, 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. Journal of medical imaging (Bellingham, Wash.) · 2023
    Article
  3. Article
  4. Review
  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

3 authors.

Zachary S HostetlerWake Forest University School of Medicine, Biomedical Engineering, 575 N. Patterson Ave., Winston-Salem, NC, 27101, USA. Electronic address: zhostetl@wakehealth.edu.
Joel D StitzelWake Forest University School of Medicine, Biomedical Engineering, 575 N. Patterson Ave., Winston-Salem, NC, 27101, USA. Electronic address: jstitzel@wakehealth.edu.
Ashley A WeaverWake Forest University School of Medicine, Biomedical Engineering, 575 N. Patterson Ave., Winston-Salem, NC, 27101, USA. Electronic address: asweaver@wakehealth.edu.

Funding

Effect of protein supplementation during weight loss on older adult bone healthK25AG058804 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WEAVER, ASHLEY · 2019 to 2023
$672k
NIA NIH HHS K25 AG058804
6 · The paper itself

Abstract

backgroundThe objective of this study was to compare cortical thickness of rib specimens scanned with clinical computed tomography (clinical-CT) at 0.5 and 1.0 mm slice thickness versus micro-CT at 0.05 mm slice thickness. Cortical thickness variation and accuracy was explored by anatomical region (anterior vs. lateral) and cross-sectional quadrants (superior, interior, inferior, and exterior).

methodsA validated cortical thickness algorithm was applied to clinical-CT and micro-CT scans of 17 rib specimens from six male post mortem human subjects aged 42-81 years. Each rib specimen was segmented and the thickness measurements were partitioned into cross-sectional quadrants in the anterior and lateral regions of the rib. Within each rib quadrant, the following were calculated: average thickness ± standard deviation, mean thickness difference between clinical-CT and micro-CT, and a thickness ratio between clinical-CT and micro-CT. Correlations from linear regression and paired-t tests were determined for paired clinical-CT and micro-CT results.

resultsOn average, the 0.5 mm clinical-CT underestimated the micro-CT thickness by 0.005 mm, while the 1.0 mm clinical-CT overestimated the micro-CT thickness by 0.149 mm. Thickness derived from 0.5 mm clinical-CT showed greater significant linear correlations (p < 0.05) with micro-CT thickness compared to 1.0 mm clinical-CT.

conclusionsThe small mean differences and thickness ratios near 1 show validation for the cortical thickness algorithm when applied to rib clinical-CT scans. Using clinical-CT scans as way to accurately measure rib cortical thickness offers a non-invasive way to analyze millions of CT scans collected each year from males and females of all ages.

Indexed as

Tomography, X-Ray ComputedX-Ray MicrotomographyAdultAgedAged, 80 and overAlgorithmsCortical BoneHumansImage Interpretation, Computer-AssistedMaleMiddle AgedRibsAgeComputed tomographyCortical thicknessMicro-CTRibsThorax

Identifiers

PMID31276944
PMCPMC6785990

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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.