Literature DB >> 30017283

Bone marrow edema in traumatic vertebral compression fractures: Diagnostic accuracy of dual-layer detector CT using calcium suppressed images.

Victor Neuhaus1, Simon Lennartz2, Nuran Abdullayev2, Nils Große Hokamp3, Nadav Shapira4, Galit Kafri4, Jasmin A Holz2, Barbara Krug2, Martin Hellmich5, David Maintz2, Jan Borggrefe2.   

Abstract

PURPOSE: To evaluate calcium suppressed images (CaSupp) in dual-layer detector computed tomography (DLCT) for the detection of bone marrow edema (BME) in vertebral fractures.
MATERIALS AND METHODS: The retrospective study was approved by the institutional review board. 34 patients with synchronous DLCT and MRI, who were diagnosed with one or more acute vertebral fractures, were included. MRI were systematically analyzed as reference standard. Two blinded and independent readers evaluated CaSupp for vertebral BME. Additionally, both readers determined the optimal calcium suppression indices (CaSupp-I) for visualization of BME in consensus and correlated the CaSupp-I with parallel measurement of trabecular density as surrogate parameter for bone mineral density. ROI-based measurements of the contrast-to-noise ratios (CNR) were also conducted. Interrater agreement was determined by kappa-statistics. CNR were analyzed using Wilcoxon signed rank test.
RESULTS: Fifty-seven acute fractured vertebrae out of 383 vertebrae (14.9%) were found. CaSupp yielded an average sensitivity of 87% and specificity of 99%, a positive predictive value of 95%, a negative predictive value of 98% and an accuracy of 97% for the detection of fracture-associated edema. Interrater agreement was excellent (kappa 0.91). Increase in CNR of BME correlated with increasing CaSupp-I. Edema adjacent to the cortical endplates was better visualized using CaSupp-I of 70 and 80, while extensive edema was better visualized using a CaSupp-I of 90 and 100 (chi2 < 0.0001). No correlation between optimal CaSupp-I and trabecular density was found (p > 0.2).
CONCLUSION: CaSupp reconstructed from DLCT enable visualization and detection of BME in traumatic fractured vertebrae with high diagnostic accuracy using CaSupp-I of 70-100.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Bone marrow edema; Calcium suppressed images; Calcium suppression index; Dual-energy CT; Dual-layer CT

Mesh:

Year:  2018        PMID: 30017283     DOI: 10.1016/j.ejrad.2018.06.009

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  10 in total

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Review 2.  Dual energy CT in clinical routine: how it works and how it adds value.

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3.  A deep-learning model for identifying fresh vertebral compression fractures on digital radiography.

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Journal:  Skeletal Radiol       Date:  2022-03-16       Impact factor: 2.128

5.  Phantomless assessment of volumetric bone mineral density using virtual non-contrast images from spectral detector computed tomography.

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Journal:  Br J Radiol       Date:  2020-03-04       Impact factor: 3.039

Review 6.  Recognizing and Minimizing Artifacts at Dual-Energy CT.

Authors:  Anushri Parakh; Chansik An; Simon Lennartz; Prabhakar Rajiah; Benjamin M Yeh; Frank J Simeone; Dushyant V Sahani; Avinash R Kambadakone
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7.  Dual-Energy CT Images: Pearls and Pitfalls.

Authors:  Anushri Parakh; Simon Lennartz; Chansik An; Prabhakar Rajiah; Benjamin M Yeh; Frank J Simeone; Dushyant V Sahani; Avinash R Kambadakone
Journal:  Radiographics       Date:  2021 Jan-Feb       Impact factor: 5.333

8.  Evaluating the temporomandibular joint disc using calcium-suppressed technique in dual-layer detector computed tomography.

Authors:  Xiaohuan Zhang; Mengqi Liu; Yanyi Wang; Weiwei Deng; Houmin Tan; Wenping Fan; Zhiye Chen
Journal:  J Int Med Res       Date:  2019-12-18       Impact factor: 1.671

9.  Radiotherapy Response Assessment of Multiple Myeloma: A Dual-Energy CT Approach With Virtual Non-Calcium Images.

Authors:  Philipp Fervers; Erkan Celik; Grischa Bratke; David Maintz; Christian Baues; Simon Ruffing; Philip Pollman-Schweckhorst; Jonathan Kottlors; Simon Lennartz; Nils Große Hokamp
Journal:  Front Oncol       Date:  2021-09-23       Impact factor: 6.244

10.  Feasibility of artificial intelligence-supported assessment of bone marrow infiltration using dual-energy computed tomography in patients with evidence of monoclonal protein - a retrospective observational study.

Authors:  Philipp Fervers; Florian Fervers; Jonathan Kottlors; Philipp Lohneis; Philip Pollman-Schweckhorst; Hasan Zaytoun; Miriam Rinneburger; David Maintz; Nils Große Hokamp
Journal:  Eur Radiol       Date:  2021-12-18       Impact factor: 7.034

  10 in total

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