Cargando…

Detecting Bone Marrow Edema of the Extremities on Spectral Computed Tomography Using a Three-Material Decomposition

Background: Detecting bone marrow edema (BME) as a sign of acute fractures is challenging on conventional computed tomography (CT). This study evaluated the diagnostic performance of a three-material decomposition (TMD) approach for detecting traumatic BME of the extremities on spectral computed tom...

Descripción completa

Detalles Bibliográficos
Autores principales: Schierenbeck, Marie, Grözinger, Martin, Reichardt, Benjamin, Jansen, Olav, Kauczor, Hans-Ulrich, Campbell, Graeme M., Sedaghat, Sam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486895/
https://www.ncbi.nlm.nih.gov/pubmed/37685282
http://dx.doi.org/10.3390/diagnostics13172745
_version_ 1785103104946995200
author Schierenbeck, Marie
Grözinger, Martin
Reichardt, Benjamin
Jansen, Olav
Kauczor, Hans-Ulrich
Campbell, Graeme M.
Sedaghat, Sam
author_facet Schierenbeck, Marie
Grözinger, Martin
Reichardt, Benjamin
Jansen, Olav
Kauczor, Hans-Ulrich
Campbell, Graeme M.
Sedaghat, Sam
author_sort Schierenbeck, Marie
collection PubMed
description Background: Detecting bone marrow edema (BME) as a sign of acute fractures is challenging on conventional computed tomography (CT). This study evaluated the diagnostic performance of a three-material decomposition (TMD) approach for detecting traumatic BME of the extremities on spectral computed tomography (SCT). Methods: This retrospective diagnostic study included 81 bone compartments with and 80 without BME. A TMD application to visualize BME was developed in collaboration with Philips Healthcare. The following bone compartments were included: distal radius, proximal femur, proximal tibia, distal tibia and fibula, and long bone diaphysis. Two blinded radiologists reviewed each case independently in random order for the presence or absence of BME. Results: The interrater reliability was 0.84 (p < 0.001). The different bone compartments showed sensitivities of 86.7% to 93.8%, specificities of 84.2% to 94.1%, positive predictive values of 82.4% to 94.7%, negative predictive values of 87.5% to 93.3%, and area under the curve (AUC) values of 85.7% to 93.1%. The distal radius showed the highest sensitivity and the proximal femur showed the lowest sensitivity, while the proximal femur presented the highest specificity and the distal tibia presented the lowest specificity. Conclusions: Our TMD approach provides high diagnostic performance for detecting BME of the extremities. Therefore, this approach could be used routinely in the emergency setting.
format Online
Article
Text
id pubmed-10486895
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-104868952023-09-09 Detecting Bone Marrow Edema of the Extremities on Spectral Computed Tomography Using a Three-Material Decomposition Schierenbeck, Marie Grözinger, Martin Reichardt, Benjamin Jansen, Olav Kauczor, Hans-Ulrich Campbell, Graeme M. Sedaghat, Sam Diagnostics (Basel) Article Background: Detecting bone marrow edema (BME) as a sign of acute fractures is challenging on conventional computed tomography (CT). This study evaluated the diagnostic performance of a three-material decomposition (TMD) approach for detecting traumatic BME of the extremities on spectral computed tomography (SCT). Methods: This retrospective diagnostic study included 81 bone compartments with and 80 without BME. A TMD application to visualize BME was developed in collaboration with Philips Healthcare. The following bone compartments were included: distal radius, proximal femur, proximal tibia, distal tibia and fibula, and long bone diaphysis. Two blinded radiologists reviewed each case independently in random order for the presence or absence of BME. Results: The interrater reliability was 0.84 (p < 0.001). The different bone compartments showed sensitivities of 86.7% to 93.8%, specificities of 84.2% to 94.1%, positive predictive values of 82.4% to 94.7%, negative predictive values of 87.5% to 93.3%, and area under the curve (AUC) values of 85.7% to 93.1%. The distal radius showed the highest sensitivity and the proximal femur showed the lowest sensitivity, while the proximal femur presented the highest specificity and the distal tibia presented the lowest specificity. Conclusions: Our TMD approach provides high diagnostic performance for detecting BME of the extremities. Therefore, this approach could be used routinely in the emergency setting. MDPI 2023-08-24 /pmc/articles/PMC10486895/ /pubmed/37685282 http://dx.doi.org/10.3390/diagnostics13172745 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Schierenbeck, Marie
Grözinger, Martin
Reichardt, Benjamin
Jansen, Olav
Kauczor, Hans-Ulrich
Campbell, Graeme M.
Sedaghat, Sam
Detecting Bone Marrow Edema of the Extremities on Spectral Computed Tomography Using a Three-Material Decomposition
title Detecting Bone Marrow Edema of the Extremities on Spectral Computed Tomography Using a Three-Material Decomposition
title_full Detecting Bone Marrow Edema of the Extremities on Spectral Computed Tomography Using a Three-Material Decomposition
title_fullStr Detecting Bone Marrow Edema of the Extremities on Spectral Computed Tomography Using a Three-Material Decomposition
title_full_unstemmed Detecting Bone Marrow Edema of the Extremities on Spectral Computed Tomography Using a Three-Material Decomposition
title_short Detecting Bone Marrow Edema of the Extremities on Spectral Computed Tomography Using a Three-Material Decomposition
title_sort detecting bone marrow edema of the extremities on spectral computed tomography using a three-material decomposition
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486895/
https://www.ncbi.nlm.nih.gov/pubmed/37685282
http://dx.doi.org/10.3390/diagnostics13172745
work_keys_str_mv AT schierenbeckmarie detectingbonemarrowedemaoftheextremitiesonspectralcomputedtomographyusingathreematerialdecomposition
AT grozingermartin detectingbonemarrowedemaoftheextremitiesonspectralcomputedtomographyusingathreematerialdecomposition
AT reichardtbenjamin detectingbonemarrowedemaoftheextremitiesonspectralcomputedtomographyusingathreematerialdecomposition
AT jansenolav detectingbonemarrowedemaoftheextremitiesonspectralcomputedtomographyusingathreematerialdecomposition
AT kauczorhansulrich detectingbonemarrowedemaoftheextremitiesonspectralcomputedtomographyusingathreematerialdecomposition
AT campbellgraemem detectingbonemarrowedemaoftheextremitiesonspectralcomputedtomographyusingathreematerialdecomposition
AT sedaghatsam detectingbonemarrowedemaoftheextremitiesonspectralcomputedtomographyusingathreematerialdecomposition