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Impact of MRI, CT, and Clinical Characteristics on Microbial Pathogen Detection Using CT-Guided Biopsy for Suspected Spondylodiscitis

Spondylodiscitis accounts for 2–7% of osteomyelitis cases and is characterized by pain, systemic inflammation, and permanent neurological deficits. We aimed to identify imaging characteristics and clinical parameters to successfully predict microbiological pathogens by computed tomography (CT)-guide...

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Autores principales: Braun, Alexander, Germann, Thomas, Wünnemann, Felix, Weber, Marc-André, Schiltenwolf, Marcus, Akbar, Michael, Burkholder, Iris, Kauczor, Hans-Ulrich, Rehnitz, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019669/
https://www.ncbi.nlm.nih.gov/pubmed/31877797
http://dx.doi.org/10.3390/jcm9010032
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author Braun, Alexander
Germann, Thomas
Wünnemann, Felix
Weber, Marc-André
Schiltenwolf, Marcus
Akbar, Michael
Burkholder, Iris
Kauczor, Hans-Ulrich
Rehnitz, Christoph
author_facet Braun, Alexander
Germann, Thomas
Wünnemann, Felix
Weber, Marc-André
Schiltenwolf, Marcus
Akbar, Michael
Burkholder, Iris
Kauczor, Hans-Ulrich
Rehnitz, Christoph
author_sort Braun, Alexander
collection PubMed
description Spondylodiscitis accounts for 2–7% of osteomyelitis cases and is characterized by pain, systemic inflammation, and permanent neurological deficits. We aimed to identify imaging characteristics and clinical parameters to successfully predict microbiological pathogens by computed tomography (CT)-guided biopsy in suspected spondylodiscitis cases. Forty consecutive patients (mean age 65.1 years) with suspected spondylodiscitis underwent CT-guided biopsy. CT features (non-sclerotic endplate erosions (NSEs)), magnetic resonance criteria (paravertebral/epidural abscess (PA/EA) formation), and clinical data (C-reactive protein (CRP) > 50 mg/L) were assessed for their predictive potential. NSEs were detected in 6/11 (54.5%) and 1/29(3.4%) patients with positive and negative microbiology, respectively. PA and EA, respectively, were present in 7/11(63.6%) and 3/11 patients with positive microbiology and 7/29 (24.1%) and 2/29 patients with negative microbiology. CRP > 50 was observed in 7/11 (63.6%) and in 7/29 (24.1%) patients with positive and negative microbiology, respectively. Three double combinations possessed near-perfect specificity (PA + NSE, 100%; PA + CRP > 50, 96.6%; NSE + CRP > 50, 96.6%). The top three Youden indices included combinations with NSE. Since CT/magnetic resonance (MR) imaging and CRP are routinely used to evaluate spondylodiscitis, the presented diagnostic criteria and combinations can aid decision-making for biopsy.
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spelling pubmed-70196692020-03-09 Impact of MRI, CT, and Clinical Characteristics on Microbial Pathogen Detection Using CT-Guided Biopsy for Suspected Spondylodiscitis Braun, Alexander Germann, Thomas Wünnemann, Felix Weber, Marc-André Schiltenwolf, Marcus Akbar, Michael Burkholder, Iris Kauczor, Hans-Ulrich Rehnitz, Christoph J Clin Med Article Spondylodiscitis accounts for 2–7% of osteomyelitis cases and is characterized by pain, systemic inflammation, and permanent neurological deficits. We aimed to identify imaging characteristics and clinical parameters to successfully predict microbiological pathogens by computed tomography (CT)-guided biopsy in suspected spondylodiscitis cases. Forty consecutive patients (mean age 65.1 years) with suspected spondylodiscitis underwent CT-guided biopsy. CT features (non-sclerotic endplate erosions (NSEs)), magnetic resonance criteria (paravertebral/epidural abscess (PA/EA) formation), and clinical data (C-reactive protein (CRP) > 50 mg/L) were assessed for their predictive potential. NSEs were detected in 6/11 (54.5%) and 1/29(3.4%) patients with positive and negative microbiology, respectively. PA and EA, respectively, were present in 7/11(63.6%) and 3/11 patients with positive microbiology and 7/29 (24.1%) and 2/29 patients with negative microbiology. CRP > 50 was observed in 7/11 (63.6%) and in 7/29 (24.1%) patients with positive and negative microbiology, respectively. Three double combinations possessed near-perfect specificity (PA + NSE, 100%; PA + CRP > 50, 96.6%; NSE + CRP > 50, 96.6%). The top three Youden indices included combinations with NSE. Since CT/magnetic resonance (MR) imaging and CRP are routinely used to evaluate spondylodiscitis, the presented diagnostic criteria and combinations can aid decision-making for biopsy. MDPI 2019-12-21 /pmc/articles/PMC7019669/ /pubmed/31877797 http://dx.doi.org/10.3390/jcm9010032 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Braun, Alexander
Germann, Thomas
Wünnemann, Felix
Weber, Marc-André
Schiltenwolf, Marcus
Akbar, Michael
Burkholder, Iris
Kauczor, Hans-Ulrich
Rehnitz, Christoph
Impact of MRI, CT, and Clinical Characteristics on Microbial Pathogen Detection Using CT-Guided Biopsy for Suspected Spondylodiscitis
title Impact of MRI, CT, and Clinical Characteristics on Microbial Pathogen Detection Using CT-Guided Biopsy for Suspected Spondylodiscitis
title_full Impact of MRI, CT, and Clinical Characteristics on Microbial Pathogen Detection Using CT-Guided Biopsy for Suspected Spondylodiscitis
title_fullStr Impact of MRI, CT, and Clinical Characteristics on Microbial Pathogen Detection Using CT-Guided Biopsy for Suspected Spondylodiscitis
title_full_unstemmed Impact of MRI, CT, and Clinical Characteristics on Microbial Pathogen Detection Using CT-Guided Biopsy for Suspected Spondylodiscitis
title_short Impact of MRI, CT, and Clinical Characteristics on Microbial Pathogen Detection Using CT-Guided Biopsy for Suspected Spondylodiscitis
title_sort impact of mri, ct, and clinical characteristics on microbial pathogen detection using ct-guided biopsy for suspected spondylodiscitis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7019669/
https://www.ncbi.nlm.nih.gov/pubmed/31877797
http://dx.doi.org/10.3390/jcm9010032
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