{"title":"基于双能CT的地中海贫血患者肝铁沉积定量分析。","authors":"Fengming Xu, Cheng Tang, Yiling Huang, Linlin Liang, Fuling Huang, Gaohui Yang, Peng Peng","doi":"10.4084/MJHID.2023.020","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>To explore the feasibility and accuracy of liver iron deposition based on dual-energy CT in thalassemia patients.</p><p><strong>Materials and methods: </strong>105 thalassemia patients were examined with dual-energy CT and MR liver scanning. Dual-energy CT was performed to measure CT values on 80kVp, 140kVp, and virtual iron content (VIC) imaging; ΔH was figured out by the difference in CT values between 80kVp and 140kVp. Using the liver iron concentration (LIC) obtained by FerriScan as a gold standard, the correlation between CT measurements and LIC was evaluated. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance for dual-energy CT in liver iron quantification and stratification.</p><p><strong>Results: </strong>The correlation analysis between CT measurements and LIC showed that 80kVp, 140kVp, VIC, and ΔH all had a high positive correlation with LIC (<i>P</i><0.001). The correlation analysis among different degree groups of VIC, ΔH, and LIC showed that the normal, moderate, and severe groups of VIC and ΔH had moderate or high positive correlations with that of LIC (<i>P</i><0.01), but the mild group had no correlation (<i>P</i>>0.05). ROC analysis revealed that the corresponding optimal cutoff value of VIC was -2.8, 6.3,11.9 HU (corresponds to 3.2,7.0,15.0 mg/g dry weight) respectively, while the ΔH were 5.1, 8.4, 17.8HU, respectively. The area under the receiver operating characteristic curves (AUCs) for both VIC and ΔH increased with LIC thresholds.</p><p><strong>Conclusion: </strong>Dual-energy CT can accurately quantify and stratify liver iron deposition, contributing to predicting the status of liver iron deposition in thalassemia patients.</p>","PeriodicalId":18498,"journal":{"name":"Mediterranean Journal of Hematology and Infectious Diseases","volume":"15 1","pages":"e2023020"},"PeriodicalIF":2.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ad/5c/mjhid-15-1-e2023020.PMC10000822.pdf","citationCount":"0","resultStr":"{\"title\":\"Quantitative Analysis of Liver Iron Deposition Based on Dual-Energy CT in Thalassemia Patients.\",\"authors\":\"Fengming Xu, Cheng Tang, Yiling Huang, Linlin Liang, Fuling Huang, Gaohui Yang, Peng Peng\",\"doi\":\"10.4084/MJHID.2023.020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>To explore the feasibility and accuracy of liver iron deposition based on dual-energy CT in thalassemia patients.</p><p><strong>Materials and methods: </strong>105 thalassemia patients were examined with dual-energy CT and MR liver scanning. Dual-energy CT was performed to measure CT values on 80kVp, 140kVp, and virtual iron content (VIC) imaging; ΔH was figured out by the difference in CT values between 80kVp and 140kVp. Using the liver iron concentration (LIC) obtained by FerriScan as a gold standard, the correlation between CT measurements and LIC was evaluated. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance for dual-energy CT in liver iron quantification and stratification.</p><p><strong>Results: </strong>The correlation analysis between CT measurements and LIC showed that 80kVp, 140kVp, VIC, and ΔH all had a high positive correlation with LIC (<i>P</i><0.001). The correlation analysis among different degree groups of VIC, ΔH, and LIC showed that the normal, moderate, and severe groups of VIC and ΔH had moderate or high positive correlations with that of LIC (<i>P</i><0.01), but the mild group had no correlation (<i>P</i>>0.05). ROC analysis revealed that the corresponding optimal cutoff value of VIC was -2.8, 6.3,11.9 HU (corresponds to 3.2,7.0,15.0 mg/g dry weight) respectively, while the ΔH were 5.1, 8.4, 17.8HU, respectively. The area under the receiver operating characteristic curves (AUCs) for both VIC and ΔH increased with LIC thresholds.</p><p><strong>Conclusion: </strong>Dual-energy CT can accurately quantify and stratify liver iron deposition, contributing to predicting the status of liver iron deposition in thalassemia patients.</p>\",\"PeriodicalId\":18498,\"journal\":{\"name\":\"Mediterranean Journal of Hematology and Infectious Diseases\",\"volume\":\"15 1\",\"pages\":\"e2023020\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ad/5c/mjhid-15-1-e2023020.PMC10000822.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mediterranean Journal of Hematology and Infectious Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.4084/MJHID.2023.020\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEMATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mediterranean Journal of Hematology and Infectious Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4084/MJHID.2023.020","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEMATOLOGY","Score":null,"Total":0}
Quantitative Analysis of Liver Iron Deposition Based on Dual-Energy CT in Thalassemia Patients.
Background: To explore the feasibility and accuracy of liver iron deposition based on dual-energy CT in thalassemia patients.
Materials and methods: 105 thalassemia patients were examined with dual-energy CT and MR liver scanning. Dual-energy CT was performed to measure CT values on 80kVp, 140kVp, and virtual iron content (VIC) imaging; ΔH was figured out by the difference in CT values between 80kVp and 140kVp. Using the liver iron concentration (LIC) obtained by FerriScan as a gold standard, the correlation between CT measurements and LIC was evaluated. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance for dual-energy CT in liver iron quantification and stratification.
Results: The correlation analysis between CT measurements and LIC showed that 80kVp, 140kVp, VIC, and ΔH all had a high positive correlation with LIC (P<0.001). The correlation analysis among different degree groups of VIC, ΔH, and LIC showed that the normal, moderate, and severe groups of VIC and ΔH had moderate or high positive correlations with that of LIC (P<0.01), but the mild group had no correlation (P>0.05). ROC analysis revealed that the corresponding optimal cutoff value of VIC was -2.8, 6.3,11.9 HU (corresponds to 3.2,7.0,15.0 mg/g dry weight) respectively, while the ΔH were 5.1, 8.4, 17.8HU, respectively. The area under the receiver operating characteristic curves (AUCs) for both VIC and ΔH increased with LIC thresholds.
Conclusion: Dual-energy CT can accurately quantify and stratify liver iron deposition, contributing to predicting the status of liver iron deposition in thalassemia patients.
期刊介绍:
Reciprocal interdependence between infectious and hematologic diseases (malignant and non-malignant) is well known. This relationship is particularly evident in Mediterranean countries. Parasitosis as Malaria, Leishmaniosis, B Hookworms, Teniasis, very common in the southeast Mediterranean area, infect about a billion people and manifest prevalently with anemia so that they are usually diagnosed mostly by experienced hematologist on blood or bone marrow smear. On the other hand, infections are also a significant problem in patients affected by hematological malignancies. The blood is the primary vector of HIV infection, which otherwise manifest with symptoms related to a reduction in T lymphocytes. In turn, infections can favor the insurgency of hematological malignancies. The causative relationship between Epstein-Barr virus infection, Helicobacter pylori, hepatitis C virus, HIV and lymphoproliferative diseases is well known.