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Dual-Energy Computed Tomography For Differentiation Between Osteoblastic Metastases and Bone Islands
OBJECTIVE: The objective of our study was to evaluate the utility of Rho/Z on dual-energy computed tomography (DECT) for the differentiation of osteoblastic metastases (OBMs) from bone islands (BIs). METHODS: DECT images of 110 patients with malignancies were collected. The effective atomic number (...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315104/ https://www.ncbi.nlm.nih.gov/pubmed/35903682 http://dx.doi.org/10.3389/fonc.2022.815955 |
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author | Xu, Chijie Kong, Lingling Deng, Xiaoyi |
author_facet | Xu, Chijie Kong, Lingling Deng, Xiaoyi |
author_sort | Xu, Chijie |
collection | PubMed |
description | OBJECTIVE: The objective of our study was to evaluate the utility of Rho/Z on dual-energy computed tomography (DECT) for the differentiation of osteoblastic metastases (OBMs) from bone islands (BIs). METHODS: DECT images of 110 patients with malignancies were collected. The effective atomic number (Z), electron density (Rho), dual energy index (DEI), and regular CT (rCT) values were measured by two observers. Independent-sample t-test was used to compare these values between OBMs and BIs. The diagnostic performance was assessed by receiver operating characteristic (ROC) analysis and the cutoff values were evaluated according to ROC curves. RESULTS: A total of 205 OBMs and 120 BIs were included. The mean values of Z, Rho, DEI, and rCT of OBMs were significantly lower than those of BIs, whereas the standard deviation values were higher than those of BIs (all p ≤ 0.05). ROC analysis showed that 11.86 was the optimal cutoff value for Z, rendering an area under the ROC curve (AUC) of 0.91, with a sensitivity of 91.2% and a specificity of 82.5%. CONCLUSION: DECT can provide quantitative values of Z, Rho, and DEI and has good performance in differentiating between OBMs and BIs. |
format | Online Article Text |
id | pubmed-9315104 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93151042022-07-27 Dual-Energy Computed Tomography For Differentiation Between Osteoblastic Metastases and Bone Islands Xu, Chijie Kong, Lingling Deng, Xiaoyi Front Oncol Oncology OBJECTIVE: The objective of our study was to evaluate the utility of Rho/Z on dual-energy computed tomography (DECT) for the differentiation of osteoblastic metastases (OBMs) from bone islands (BIs). METHODS: DECT images of 110 patients with malignancies were collected. The effective atomic number (Z), electron density (Rho), dual energy index (DEI), and regular CT (rCT) values were measured by two observers. Independent-sample t-test was used to compare these values between OBMs and BIs. The diagnostic performance was assessed by receiver operating characteristic (ROC) analysis and the cutoff values were evaluated according to ROC curves. RESULTS: A total of 205 OBMs and 120 BIs were included. The mean values of Z, Rho, DEI, and rCT of OBMs were significantly lower than those of BIs, whereas the standard deviation values were higher than those of BIs (all p ≤ 0.05). ROC analysis showed that 11.86 was the optimal cutoff value for Z, rendering an area under the ROC curve (AUC) of 0.91, with a sensitivity of 91.2% and a specificity of 82.5%. CONCLUSION: DECT can provide quantitative values of Z, Rho, and DEI and has good performance in differentiating between OBMs and BIs. Frontiers Media S.A. 2022-07-12 /pmc/articles/PMC9315104/ /pubmed/35903682 http://dx.doi.org/10.3389/fonc.2022.815955 Text en Copyright © 2022 Xu, Kong and Deng https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Xu, Chijie Kong, Lingling Deng, Xiaoyi Dual-Energy Computed Tomography For Differentiation Between Osteoblastic Metastases and Bone Islands |
title | Dual-Energy Computed Tomography For Differentiation Between Osteoblastic Metastases and Bone Islands |
title_full | Dual-Energy Computed Tomography For Differentiation Between Osteoblastic Metastases and Bone Islands |
title_fullStr | Dual-Energy Computed Tomography For Differentiation Between Osteoblastic Metastases and Bone Islands |
title_full_unstemmed | Dual-Energy Computed Tomography For Differentiation Between Osteoblastic Metastases and Bone Islands |
title_short | Dual-Energy Computed Tomography For Differentiation Between Osteoblastic Metastases and Bone Islands |
title_sort | dual-energy computed tomography for differentiation between osteoblastic metastases and bone islands |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315104/ https://www.ncbi.nlm.nih.gov/pubmed/35903682 http://dx.doi.org/10.3389/fonc.2022.815955 |
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