AUTHOR=Xu Chijie , Kong Lingling , Deng Xiaoyi 

TITLE=Dual-Energy Computed Tomography For Differentiation Between Osteoblastic Metastases and Bone Islands

JOURNAL=Frontiers in Oncology

VOLUME=12

YEAR=2022

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2022.815955

DOI=10.3389/fonc.2022.815955

ISSN=2234-943X

ABSTRACT=<sec><title>Objective</title><p>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).</p></sec><sec><title>Methods</title><p>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 <italic>t</italic>-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.</p></sec><sec><title>Results</title><p>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 <italic>p</italic> ≤ 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%.</p></sec><sec><title>Conclusion</title><p>DECT can provide quantitative values of Z, Rho, and DEI and has good performance in differentiating between OBMs and BIs.</p></sec>