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Semi-quantitative analysis with (99m)Tc-Besilesomab in musculoskeletal system infections
OBJECTIVES: To evaluate the usefulness of (99m)Tc-Besilesomab to diagnose infectious processes by using monoclonal antibodies BW 250/183 in a semi-quantitative analysis, and to determine the effect on diagnostic capacity of different thresholds for the difference between counts in early versus delay...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474153/ https://www.ncbi.nlm.nih.gov/pubmed/37664143 http://dx.doi.org/10.1016/j.bonr.2023.101708 |
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author | Guardia-Jimena, Patricia Martínez-Valle Torres, María Dolores Arenas Aguaza, Raquel González Ramírez, Amanda Rocío Becerra-García, Diego Guirado, Damián |
author_facet | Guardia-Jimena, Patricia Martínez-Valle Torres, María Dolores Arenas Aguaza, Raquel González Ramírez, Amanda Rocío Becerra-García, Diego Guirado, Damián |
author_sort | Guardia-Jimena, Patricia |
collection | PubMed |
description | OBJECTIVES: To evaluate the usefulness of (99m)Tc-Besilesomab to diagnose infectious processes by using monoclonal antibodies BW 250/183 in a semi-quantitative analysis, and to determine the effect on diagnostic capacity of different thresholds for the difference between counts in early versus delayed images. METHODS: The study included 77 patients with suspected osteomyelitis who underwent scintigraphy with (99m)Tc-Besilesomab. After confirming the absence of human anti-mouse antibodies in all patients, early and delayed static images were acquired at 4 and 24 h post-injection, respectively. Visual and semi-quantitative analyses were conducted of regions of interest (ROIs) in areas suspected of infection on early and delayed images. Findings were considered positive when the ratio between counts in delayed and early images exceeded a given threshold after correction for decay. The definitive diagnosis was obtained by clinical follow-up, microbiological culture, or response to medical and/or surgical treatment. RESULTS: The optimal threshold was 1.02 (i.e., positive result = count increase of >2 % in delayed image), obtaining a sensitivity of 0.864, specificity of 0.858, positive predictive value of 0.708, negative predictive value of 0.940, and accuracy of 0.860. Application of the usual threshold of 1.10 (10 %) reduced the sensitivity to 0.734. CONCLUSION: Semi-quantitative analysis of studies with (99m)Tc-Besilesomab is a useful technique for the diagnosis of musculoskeletal system infections and contributes to the definitive diagnosis when visual assessments are doubtful or non-conclusive. |
format | Online Article Text |
id | pubmed-10474153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104741532023-09-03 Semi-quantitative analysis with (99m)Tc-Besilesomab in musculoskeletal system infections Guardia-Jimena, Patricia Martínez-Valle Torres, María Dolores Arenas Aguaza, Raquel González Ramírez, Amanda Rocío Becerra-García, Diego Guirado, Damián Bone Rep Full Length Article OBJECTIVES: To evaluate the usefulness of (99m)Tc-Besilesomab to diagnose infectious processes by using monoclonal antibodies BW 250/183 in a semi-quantitative analysis, and to determine the effect on diagnostic capacity of different thresholds for the difference between counts in early versus delayed images. METHODS: The study included 77 patients with suspected osteomyelitis who underwent scintigraphy with (99m)Tc-Besilesomab. After confirming the absence of human anti-mouse antibodies in all patients, early and delayed static images were acquired at 4 and 24 h post-injection, respectively. Visual and semi-quantitative analyses were conducted of regions of interest (ROIs) in areas suspected of infection on early and delayed images. Findings were considered positive when the ratio between counts in delayed and early images exceeded a given threshold after correction for decay. The definitive diagnosis was obtained by clinical follow-up, microbiological culture, or response to medical and/or surgical treatment. RESULTS: The optimal threshold was 1.02 (i.e., positive result = count increase of >2 % in delayed image), obtaining a sensitivity of 0.864, specificity of 0.858, positive predictive value of 0.708, negative predictive value of 0.940, and accuracy of 0.860. Application of the usual threshold of 1.10 (10 %) reduced the sensitivity to 0.734. CONCLUSION: Semi-quantitative analysis of studies with (99m)Tc-Besilesomab is a useful technique for the diagnosis of musculoskeletal system infections and contributes to the definitive diagnosis when visual assessments are doubtful or non-conclusive. Elsevier 2023-08-17 /pmc/articles/PMC10474153/ /pubmed/37664143 http://dx.doi.org/10.1016/j.bonr.2023.101708 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Full Length Article Guardia-Jimena, Patricia Martínez-Valle Torres, María Dolores Arenas Aguaza, Raquel González Ramírez, Amanda Rocío Becerra-García, Diego Guirado, Damián Semi-quantitative analysis with (99m)Tc-Besilesomab in musculoskeletal system infections |
title | Semi-quantitative analysis with (99m)Tc-Besilesomab in musculoskeletal system infections |
title_full | Semi-quantitative analysis with (99m)Tc-Besilesomab in musculoskeletal system infections |
title_fullStr | Semi-quantitative analysis with (99m)Tc-Besilesomab in musculoskeletal system infections |
title_full_unstemmed | Semi-quantitative analysis with (99m)Tc-Besilesomab in musculoskeletal system infections |
title_short | Semi-quantitative analysis with (99m)Tc-Besilesomab in musculoskeletal system infections |
title_sort | semi-quantitative analysis with (99m)tc-besilesomab in musculoskeletal system infections |
topic | Full Length Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474153/ https://www.ncbi.nlm.nih.gov/pubmed/37664143 http://dx.doi.org/10.1016/j.bonr.2023.101708 |
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