Literature DB >> 28778598

Phantomless calibration of CT scans for measurement of BMD and bone strength-Inter-operator reanalysis precision.

David C Lee1, Paul F Hoffmann2, David L Kopperdahl3, Tony M Keaveny4.   

Abstract

Patient-specific phantomless calibration of computed tomography (CT) scans has the potential to simplify and expand the use of pre-existing clinical CT for quantitative bone densitometry and bone strength analysis for diagnostic and monitoring purposes. In this study, we quantified the inter-operator reanalysis precision errors for a novel implementation of patient-specific phantomless calibration, using air and either aortic blood or hip adipose tissue as internal calibrating reference materials, and sought to confirm the equivalence between phantomless and (traditional) phantom-based measurements. CT scans of the spine and hip for 25 women and 15 men (mean±SD age of 67±9years, range 41-86years), one scan per anatomic site per patient, were analyzed independently by two analysts using the VirtuOst software (O.N. Diagnostics, Berkeley, CA). The scans were acquired at 120kVp, with a slice thickness/increment of 3mm or less, on nine different CT scanner models across 24 different scanners. The main parameters assessed were areal bone mineral density (BMD) at the hip (total hip and femoral neck), trabecular volumetric BMD at the spine, and vertebral and femoral strength by finite element analysis; other volumetric BMD measures were also assessed. We found that the reanalysis precision errors for all phantomless measurements were ≤0.5%, which was as good as for phantom calibration. Regression analysis indicated equivalence of the phantom- versus phantomless-calibrated measurements (slope not different than unity, R2≥0.98). Of the main parameters assessed, non-significant paired mean differences (n=40) between the two measurements ranged from 0.6% for hip areal BMD to 1.1% for mid-vertebral trabecular BMD. These results indicate that phantom-equivalent measurements of both BMD and finite element-derived bone strength can be reliably obtained from CT scans using patient-specific phantomless calibration.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  BMD; Bone strength; Finite element analysis; Osteoporosis; Precision; Repeatability

Mesh:

Year:  2017        PMID: 28778598      PMCID: PMC5636218          DOI: 10.1016/j.bone.2017.07.029

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  45 in total

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4.  Prediction of femoral fracture load using automated finite element modeling.

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Authors:  J Homminga; H Weinans; W Gowin; D Felsenberg; R Huiskes
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6.  Asynchronously Calibrated Quantitative Bone Densitometry.

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7.  Association of hip strength estimates by finite-element analysis with fractures in women and men.

Authors:  Shreyasee Amin; David L Kopperdhal; L Joseph Melton; Sara J Achenbach; Terry M Therneau; B Lawrence Riggs; Tony M Keaveny; Sundeep Khosla
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8.  Inter-scanner differences in in vivo QCT measurements of the density and strength of the proximal femur remain after correction with anthropomorphic standardization phantoms.

Authors:  R Dana Carpenter; Isra Saeed; Serena Bonaretti; Carole Schreck; Joyce H Keyak; Timothy Streeper; Tamara B Harris; Thomas F Lang
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9.  The associations between QCT-based vertebral bone measurements and prevalent vertebral fractures depend on the spinal locations of both bone measurement and fracture.

Authors:  D E Anderson; S Demissie; B T Allaire; A G Bruno; D L Kopperdahl; T M Keaveny; D P Kiel; M L Bouxsein
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10.  Fat Attenuation at CT in Anorexia Nervosa.

Authors:  Corey M Gill; Martin Torriani; Rachel Murphy; Tamara B Harris; Karen K Miller; Anne Klibanski; Miriam A Bredella
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1.  Letter to the Editor.

Authors:  Klaus Engelke; Tony M Keaveny
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Authors:  Reem A Yassine; Ramsey F Hamade
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3.  Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural network.

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6.  Cost-Effectiveness of Osteoporosis Screening Using Biomechanical Computed Tomography for Patients With a Previous Abdominal CT.

Authors:  Maria Pisu; David L Kopperdahl; Cora E Lewis; Kenneth G Saag; Tony M Keaveny
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Review 7.  X-ray-based quantitative osteoporosis imaging at the spine.

Authors:  M T Löffler; N Sollmann; K Mei; A Valentinitsch; P B Noël; J S Kirschke; T Baum
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8.  Osteoporosis and Hip Fracture Risk From Routine Computed Tomography Scans: The Fracture, Osteoporosis, and CT Utilization Study (FOCUS).

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9.  Perspectives on the non-invasive evaluation of femoral strength in the assessment of hip fracture risk.

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10.  Prediction of incident vertebral fracture using CT-based finite element analysis.

Authors:  B T Allaire; D Lu; F Johannesdottir; D Kopperdahl; T M Keaveny; M Jarraya; A Guermazi; M A Bredella; E J Samelson; D P Kiel; D E Anderson; S Demissie; M L Bouxsein
Journal:  Osteoporos Int       Date:  2018-10-10       Impact factor: 4.507

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