Evidence map›Paper›PMID 42292525›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Strong correlation between phantomless and inline phantom-based densitometric calibration of vertebral properties from CT scans of healthy volunteers.

Fiona G Gibson, Zichu Ding, Margaret A Paggiosi, Catherine Handforth, Janet E Brown, Xinshan Li, Enrico Dall'Ara, Stefaan W Verbruggen

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Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Fiona G GibsonSchool of Mechanical, Aerospace and Civil Engineering, The University of Sheffield, Sheffield, United Kingdom.
Zichu DingCentre for Bioengineering, School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.
Margaret A PaggiosiDivision of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, United Kingdom.
Catherine HandforthDivision of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, United Kingdom.
Janet E BrownDivision of Clinical Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, United Kingdom.
Xinshan LiSchool of Mechanical, Aerospace and Civil Engineering, The University of Sheffield, Sheffield, United Kingdom.
Enrico Dall'AraInsigneo Institute, The University of Sheffield, Sheffield, United Kingdom.
Stefaan W VerbruggenSchool of Mechanical, Aerospace and Civil Engineering, The University of Sheffield, Sheffield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phantom calibration is currently the gold standard for calibrating CT scans and for calculating material properties of dense tissues for computational models. However, in Oncology departments and low-resource settings, it is not routine to include a calibration phantom within the scanning protocol. Therefore, retrospective scan datasets are challenging to calibrate for biomechanical investigations, precluding detailed measurements of material and mechanical properties. In this study, we compared the results from a phantomless calibration technique, where the density within each scan was independently calibrated based on known tissue densities captured within each scan (e.g., air), with those from a traditional inline phantom calibration. To do so we used scans from a cohort of healthy volunteers from the control arm of a clinical trial dataset (ANTELOPE) in which inline calibration phantoms were included. We found that, when selecting air and the aorta as regions for calibration within individual CT scans, a strong individual-specific correlation existed between bone mineral density measured in the phantomless and phantom calibrations. This indicates that the phantomless calibration method can be a useful and reliable tool for quantifying the densitometric material properties of healthy human vertebrae, and provides the opportunity for further analysis of spinal CT scans in either retrospective datasets or in low-resource clinical settings.

Indexed as

BMDbone mineral densityCT scanphantomless calibrationvertebral biomechanics

Identifiers

PMID42292525
PMCPMC13260149

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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.