Dual Energy CT in Clinical Practice

2018 ◽  
Vol 37 (7) ◽  
pp. 1879-1884 ◽  
Author(s):  
M. Gamala ◽  
S. P. Linn-Rasker ◽  
M. Nix ◽  
B. G. F. Heggelman ◽  
J. M. van Laar ◽  
...  

2011 ◽  
Vol 38 (11) ◽  
pp. 6346-6346 ◽  
Author(s):  
Terry Yoshizumi

Author(s):  
Fuminari Tatsugami ◽  
Toru Higaki ◽  
Yuko Nakamura ◽  
Yukiko Honda ◽  
Kazuo Awai

AbstractDual-energy CT, the object is scanned at two different energies, makes it possible to identify the characteristics of materials that cannot be evaluated on conventional single-energy CT images. This imaging method can be used to perform material decomposition based on differences in the material-attenuation coefficients at different energies. Dual-energy analyses can be classified as image data-based- and raw data-based analysis. The beam-hardening effect is lower with raw data-based analysis, resulting in more accurate dual-energy analysis. On virtual monochromatic images, the iodine contrast increases as the energy level decreases; this improves visualization of contrast-enhanced lesions. Also, the application of material decomposition, such as iodine- and edema images, increases the detectability of lesions due to diseases encountered in daily clinical practice. In this review, the minimal essentials of dual-energy CT scanning are presented and its usefulness in daily clinical practice is discussed.


2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1763.1-1764
Author(s):  
M. Gamala ◽  
J. W. G. Jacobs ◽  
S. Linn-Rasker ◽  
M. Nix ◽  
B. Heggelman ◽  
...  

Background:Classification criteria are used for classifying groups of patients, especially for clinical trials, and diagnostic criteria for diagnosis in individual patients.Objectives:to establish the performance of the 2015 ACR/EULAR gout classification criteria for the diagnosis gout in patients with undifferentiated arthritis. Secondary, to explore the use and efficacy of uric acid lowering therapy (ULT) in daily clinical practice in new gout patients.Methods:1-year follow-up study was performed in subjects with unclassified arthritis, who had been classified as gout patients or not, according the gout classification criteria, including imaging with dual-energy CT, but without ultrasonography and joint X-rays.(1) The reference was the clinical diagnosis (gout yes/no) after 1-year follow-up.Results:71 patients were included; their demographic and clinical characteristics are summarized in Table 1. All 63/71 patients classified as having gout at baseline also had a clinical gout diagnosis after one year, and of the patients not classified, none had the clinical diagnosis of gout at one year.Table 1.Characteristics of the 71subjects included in analysesDiagnosis**gout (n=63)no gout (n=8)Age in years, mean (SD)62 (14)59 (14)Male gender, N (%)53 (84)5 (63)Symptom duration* at baseline in months, median (IQR)12 (1-48)8 (0.5-33)Joint involvement at baseline N patients (%):MTP,33 (52)1 (12)ankle/midfoot12 (19)1 (12)other joint18 (29)6 (76)SUA intercritical in umol/l, mean (SD)484 (63)337 (71)2015 ACR/EULAR criteria baseline score, mean (SD)***10.3 (2.5)2.6 (1.5)2015 ACR/EULAR criteria ≥8 points, N patients (%)***57 (90)0 (0)MSU crystal positive joint aspiration, N patients (%)44 (70)0 (0)DECT positive, N patients (%)49 (78)0 (0)* self-reported, intermittent symptoms; ** all patients classified with gout at baseline also had a clinical gout diagnosis after one yea; *** using a somewhat limited set, see methodsMTP, metatarsophalangeal joints; SUA, serum uric acid; DECT, dual-energy CT; MSU, monosodium urate;.Sensitivity, specificity, positive and negative predictive value, and accuracy values (95% CI) of the classification criteria set we used were 0.91 (0.80-0.96); 1 (0.63-1); 1; 0.57 (0.38-0.74) and 0.92 (0.83-0.97), respectively. The area under the receiver operating characteristics curve (95% CI) was 0.95 (0.91-0.99).ULT was started in 49/63 (78%) of gout patients; 45/49 (92%) of them had serum uric acid levels ≤ 360 μmol/l and no recurrent gout attack during one-year follow-up.Conclusion:The 2015 ACR-EULAR gout classification criteria performed well for the diagnosis gout in clinical practice. Most gout patients had been treated successfully, according to current guidelines.References:[1]Gamala M, Jacobs JWG, Linn-Rasker SF, Nix M, Heggelman BGF, Pasker-de Jong PCM, et al. The performance of dual-energy CT in the classification criteria of gout: a prospective study in subjects with unclassified arthritis. Rheumatology 2019 Sep (Epub ahead print).Disclosure of Interests:Mihaela Gamala: None declared, Johannes W. G. Jacobs Grant/research support from: Roche, Suzanne Linn-Rasker: None declared, Maarten Nix: None declared, Ben Heggelman: None declared, Pieternel Pasker: None declared, Jacob M. van Laar Grant/research support from: MSD, Genentech, Consultant of: MSD, Roche, Pfizer, Eli Lilly, BMS, Ruth Klaasen: None declared


2019 ◽  
Vol 29 (3) ◽  
pp. 289 ◽  
Author(s):  
ParangS Sanghavi ◽  
BhavinG Jankharia

Author(s):  
Zuraida Ramli ◽  
Rafidah Zainon ◽  
Abd Aziz Tajuddin ◽  
Nur Shakila Othman

Dual-energy CT allows the determination of tissue composition based on the different atomic numbers and attenuation profiles of the constituents. The aims of this study is to assess the feasibility of dual-energy CT at Imaging Unit, Advanced Medical, and Dental Institute, USM, to quantify different materials, permitting imaging assessment of elemental deficiencies, metabolic imbalances, and any abnormal tissue in clinical practice. The study was conducted at the Imaging Unit, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Pulau Pinang, Malaysia. The study was performed using a new fabricated abdominal phantom for spectral CT imaging that scanned on the single-source, fast switching dual-energy CT scanner (Somatom Definition; Siemens AG, Wittelsbacherplatz Muenchen, Germany) system in dual-energy mode at tube voltages of 80 kVp for low energy and 140 kVp for high energy using abdominal protocol. The phantom was scanned at 4.0 mm slice thickness and pitch value 1.2 using CAREDose 4D (automated tube current modulation). Four tubes filled with calcium chloride, ferric nitrate, water, and sunflower oil that represents bone, blood, soft tissue, and fat respectively were analyzed in an abdominal phantom. Image post-processing was analyzed. All the tissue-mimicking materials, calcium chloride, ferric nitrate, water, and oil can be differentiated clearly in an unenhanced image scan. By applying the two different energy levels, all these materials can be accurately differentiated from one another based on their differential absorption levels of the x-ray energy. The material separation in the dual-energy CT technique is based on the attenuation interaction in the irradiated materials by applying varies x-ray beam at low and high energy. Furthermore, in clinical practice, a radiation source is usually composed of individual photons with a wide range of energies, and each photon energy is attenuated differently by the types of tissues in the human body. Material separation can be accurately quantified with a dual-energy CT system available at Universiti Sains Malaysia. Thus, the dual-energy CT capable of tissue characterization.  


2009 ◽  
Vol 39 (2) ◽  
pp. 21
Author(s):  
SHERRY BOSCHERT

Sign in / Sign up

Export Citation Format

Share Document