Material decomposition approaches for monosodium urate (MSU) quantification in gouty arthritis: a (bio)phantom study
Abstract Background Dual-energy computed tomography (DECT) is a noninvasive diagnostic tool for gouty arthritis. This study aimed to compare two postprocessing techniques for monosodium urate (MSU) detection: conventional two-material decomposition and material map-based decomposition. Methods A ras...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-11-01
|
| Series: | European Radiology Experimental |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41747-024-00528-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846172311869194240 |
|---|---|
| author | Torsten Diekhoff Sydney Alexandra Schmolke Karim Khayata Jürgen Mews Maximilian Kotlyarov |
| author_facet | Torsten Diekhoff Sydney Alexandra Schmolke Karim Khayata Jürgen Mews Maximilian Kotlyarov |
| author_sort | Torsten Diekhoff |
| collection | DOAJ |
| description | Abstract Background Dual-energy computed tomography (DECT) is a noninvasive diagnostic tool for gouty arthritis. This study aimed to compare two postprocessing techniques for monosodium urate (MSU) detection: conventional two-material decomposition and material map-based decomposition. Methods A raster phantom and an ex vivo biophantom, embedded with four different MSU concentrations, were scanned in two high-end CT scanners. Scanner 1 used the conventional postprocessing method while scanner 2 employed the material map approach. Volumetric analysis was performed to determine MSU detection, and image quality parameters, such as signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), were computed. Results The material map-based method demonstrated superior MSU detection. Specifically, scanner 2 yielded total MSU volumes of 5.29 ± 0.28 mL and 4.52 ± 0.29 mL (mean ± standard deviation) in the raster and biophantom, respectively, versus 2.35 ± 0.23 mL and 1.15 ± 0.17 mL for scanner 1. Radiation dose correlated positively with detection for the conventional scanner, while there was no such correlation for the material map-based decomposition method in the biophantom. Despite its higher detection rate, material map-based decomposition was inferior in terms of SNR, CNR, and artifacts. Conclusion While material map-based decomposition resulted in superior MSU detection, it is limited by challenges such as increased artifacts. Our findings highlight the potential of this method for gout diagnosis while underscoring the need for further research to enhance its clinical reliability. Relevance statement Advanced postprocessing such as material-map-based two-material decomposition might improve the sensitivity for gouty arthritis in clinical practice, thus, allowing for lower radiation doses or better sensitivity for gouty tophi. Key Points Dual-energy CT showed limited sensitivity for tophi with low MSU concentrations. Materiel-map-based decomposition increased sensitivity compared to conventional two-material decomposition. The advantages of material-map-based decomposition outweigh lower image quality and increased artifact load. Graphical Abstract |
| format | Article |
| id | doaj-art-5f2efe7dff114f148c733a275ff48afc |
| institution | Kabale University |
| issn | 2509-9280 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | European Radiology Experimental |
| spelling | doaj-art-5f2efe7dff114f148c733a275ff48afc2024-11-10T12:06:05ZengSpringerOpenEuropean Radiology Experimental2509-92802024-11-01811810.1186/s41747-024-00528-zMaterial decomposition approaches for monosodium urate (MSU) quantification in gouty arthritis: a (bio)phantom studyTorsten Diekhoff0Sydney Alexandra Schmolke1Karim Khayata2Jürgen Mews3Maximilian Kotlyarov4Department of Radiology, Charité—Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität BerlinDepartment of Radiology, Charité—Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität BerlinDepartment of Radiology, Charité—Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität BerlinCanon Medical Systems Europe BV, Global Research & Development CenterDepartment of Radiology, Charité—Universitätsmedizin Berlin, Campus Mitte, Humboldt-Universität zu Berlin, Freie Universität BerlinAbstract Background Dual-energy computed tomography (DECT) is a noninvasive diagnostic tool for gouty arthritis. This study aimed to compare two postprocessing techniques for monosodium urate (MSU) detection: conventional two-material decomposition and material map-based decomposition. Methods A raster phantom and an ex vivo biophantom, embedded with four different MSU concentrations, were scanned in two high-end CT scanners. Scanner 1 used the conventional postprocessing method while scanner 2 employed the material map approach. Volumetric analysis was performed to determine MSU detection, and image quality parameters, such as signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), were computed. Results The material map-based method demonstrated superior MSU detection. Specifically, scanner 2 yielded total MSU volumes of 5.29 ± 0.28 mL and 4.52 ± 0.29 mL (mean ± standard deviation) in the raster and biophantom, respectively, versus 2.35 ± 0.23 mL and 1.15 ± 0.17 mL for scanner 1. Radiation dose correlated positively with detection for the conventional scanner, while there was no such correlation for the material map-based decomposition method in the biophantom. Despite its higher detection rate, material map-based decomposition was inferior in terms of SNR, CNR, and artifacts. Conclusion While material map-based decomposition resulted in superior MSU detection, it is limited by challenges such as increased artifacts. Our findings highlight the potential of this method for gout diagnosis while underscoring the need for further research to enhance its clinical reliability. Relevance statement Advanced postprocessing such as material-map-based two-material decomposition might improve the sensitivity for gouty arthritis in clinical practice, thus, allowing for lower radiation doses or better sensitivity for gouty tophi. Key Points Dual-energy CT showed limited sensitivity for tophi with low MSU concentrations. Materiel-map-based decomposition increased sensitivity compared to conventional two-material decomposition. The advantages of material-map-based decomposition outweigh lower image quality and increased artifact load. Graphical Abstracthttps://doi.org/10.1186/s41747-024-00528-zArthritis (gouty)Image processing (computer-assisted)Phantoms (imaging)Tomography (x-ray computed)Uric acid |
| spellingShingle | Torsten Diekhoff Sydney Alexandra Schmolke Karim Khayata Jürgen Mews Maximilian Kotlyarov Material decomposition approaches for monosodium urate (MSU) quantification in gouty arthritis: a (bio)phantom study European Radiology Experimental Arthritis (gouty) Image processing (computer-assisted) Phantoms (imaging) Tomography (x-ray computed) Uric acid |
| title | Material decomposition approaches for monosodium urate (MSU) quantification in gouty arthritis: a (bio)phantom study |
| title_full | Material decomposition approaches for monosodium urate (MSU) quantification in gouty arthritis: a (bio)phantom study |
| title_fullStr | Material decomposition approaches for monosodium urate (MSU) quantification in gouty arthritis: a (bio)phantom study |
| title_full_unstemmed | Material decomposition approaches for monosodium urate (MSU) quantification in gouty arthritis: a (bio)phantom study |
| title_short | Material decomposition approaches for monosodium urate (MSU) quantification in gouty arthritis: a (bio)phantom study |
| title_sort | material decomposition approaches for monosodium urate msu quantification in gouty arthritis a bio phantom study |
| topic | Arthritis (gouty) Image processing (computer-assisted) Phantoms (imaging) Tomography (x-ray computed) Uric acid |
| url | https://doi.org/10.1186/s41747-024-00528-z |
| work_keys_str_mv | AT torstendiekhoff materialdecompositionapproachesformonosodiumuratemsuquantificationingoutyarthritisabiophantomstudy AT sydneyalexandraschmolke materialdecompositionapproachesformonosodiumuratemsuquantificationingoutyarthritisabiophantomstudy AT karimkhayata materialdecompositionapproachesformonosodiumuratemsuquantificationingoutyarthritisabiophantomstudy AT jurgenmews materialdecompositionapproachesformonosodiumuratemsuquantificationingoutyarthritisabiophantomstudy AT maximiliankotlyarov materialdecompositionapproachesformonosodiumuratemsuquantificationingoutyarthritisabiophantomstudy |