348 research outputs found
Analysis of effective and organ dose estimation in CT when using mA modulation : a single scanner pilot study
Effective dose (ED) estimation in CT examinations can be obtained by combining dose length product (DLP) with published ED per DLP coefficients or performed using software. These methods do not account for tube current (mA) modulation which is influenced by patient size.
Aim
To compare different methods of organ and ED estimation to measured values when using mA modulation in CT chest, abdomen and pelvis examinations.
Method
Organ doses from CT of the chest, abdomen and pelvis were measured using digital dosimeters and a dosimetry phantom. ED was calculated. Six methods of estimating ED accounting for mA modulation were performed using ImPACT CTDosimetry and Dose Length Product to ED coefficients. Corrections for the phantom mass were applied resulting in 12 estimation methods. Estimated organ doses from ImPACT CTDosimtery were compared to measured values.
Results
Calculated EDs were; chest 12.35 mSv (Β±1.48 mSv); abdomen 8.74 mSv (Β±1.36 mSv) and pelvis 4.68 mSv (Β±0.75 mSv). There was over estimation in all three anatomical regions. Correcting for phantom mass improved agreement between measured and estimated ED. Organ doses showed overestimation of dose inside the scan range and underestimation outside the scan range.
Conclusion
Reasonable estimation of effective dose for CT of the chest and abdomen can be obtained using ImPACT CTDosimetry software or k-coefficients. Further work is required to improve the accuracy of ED estimation from CT of the pelvis. Accuracy of organ dose estimation has been shown to depend on the inclusion or exclusion of the organ from the scan range
Application of Dual-Energy Computed Tomography to the Evalution of Coronary Atherosclerotic Plaque
Atherosclerotic coronary artery disease is responsible for around 50 of cardiovascular deaths in USA. Early detection and characterization of coronary artery atherosclerotic plaque could help prevent cardiac events. Computed tomography (CT) is an excellent modality for imaging calcifications and has higher spatial resolution than other common non-invasive modalities (e.g MRI), making it more suitable for coronary plaque detection. However, attenuation-based classification of non-calcified plaques as fibrous or lipid is difficult with conventional CT, which relies on a single x-ray energy. Dual-energy CT (DECT) may provide additional attenuation data for the identification and discrimination of plaque components. The purpose of this research was to evaluate the feasibility of DECT imaging for coronary plaque characterization and further, to explore the limits of CT for non-invasive plaque analysis. DECT techniques were applied to plaque classification using a clinical CT system. Saline perfused coronary arteries from autopsies were scanned at 80 and 140 kVp, prior to and during injection of iodinated contrast. Plaque attenuation was measured from CT images and matched to histology. Measurements were compared to assess differences among plaque types. Although calcified and non-calcified plaques could be identified and differentiated with DECT, further characterization of non-calcified plaques was not possible. The results also demonstrated that calcified plaque and iodine could be discriminated. The limits of x-ray based non-calcified plaque discrimination were assessed using microCT, a pre-clinical x-ray based high spatial resolution modality. Phantoms and tissues of different composition were scanned using different tube voltages (i.e., different energies) and resulting attenuation values were compared. Better vessel wall visualization and increase in tissue contrast resolution was observed with decrease in x-ray energy. Feasibility of calcium quantification from contrast-enhanced scans by creating virtual n
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Όλ¬Έ (λ°μ¬)-- μμΈλνκ΅ λνμ : μκ³Όλν μνκ³Ό, 2019. 2. ꡬμ§λͺ¨.μλ‘ : μ΄ μ°κ΅¬λ μ΄μ€μλμ§ μ μ°νλ¨μΈ΅μ΄¬μμ μ(CT) ν΅ν μμ€λ μ λνμ μ΄μ€μλμ§ CT μ€μΊλ, μμ νλ νλΌλ―Έν°, κ·Έλ¦¬κ³ μ‘체 μ±μμ΄ λ―ΈμΉλ μν₯μ λΆμνκ³ , μΈ‘μ λ³μ΄μ λ²μ(measurement variability)λ₯Ό κ³μ° λ° μμμ μΌλ‘ κ²μ¦νκ³ μ νμλ€.
λ°©λ²: Part Iκ³Ό IIμμλ μ’
격λ ν¬ν
μ μ€μΊνκ³ , μμ€λ λ°λλ₯Ό(iodine density) μΈ‘μ νμ¬, μ΄μ€μλμ§ CT μ€μΊλμ μμ νλ νλΌλ―Έν°, μ‘체 μ±μμ μν₯μ linear-mixed effect modelλ‘ λΆμνμλ€. μμ€λ λ°λμ μΈ‘μ λ³μ΄ λ²μ λν κ³μ°νμλ€. Part IIIμμλ μμ€λ μ λνμ λ³μ΄ λ²μλ₯Ό ν΅ν΄ μ»μ μ°Έμ‘°μμ¦κ° κΈ°μ€κ°μ(cutoff) μμμ μ μ©μ±μ κ°μ΄μμ’
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κ²°κ³Ό: Part Iμμ μμ€λ λ°λμ μ λμ€μ°¨λ μ΄μ€μλμ§ CT μ€μΊλ λλ μ‘체 μ±μμ μν₯μ λ°μ§ μμλ€(P>0.05). μμ€λ μ°Έκ°μ΄ 0 mg/mlμΈ κ²½μ°, λ³μ΄ λ²μλ -0.6 mg/mlμμ 0.4 mg/mlμμΌλ©°, λ°λΌμ μ°Έμ‘°μμ¦κ°μ κΈ°μ€κ°μ 0.4 mg/mlλ‘ μ μνμλ€. Part IIμμ κ΄μ μκ³Ό(P<0.001) κ΄μ λ₯(P<0.05κ΅νΈμμ© λ³μμ λ°λΌ P κ°μ μ°¨μ΄κ° μμ)λ μμ€λ μ λκ°μ μ μν μν₯μ΄ μμμΌλ, κ·Έ μν₯μ ν¬κΈ°, μ¦, νκ·κ³μμ μ λκ°μ λ§€μ° μμλ€. μμ€λλ₯Ό ν¬μν μ©λ§€μ μ±μ μμ μ μν μν₯μ΄ μμμΌλ©°(P=0.007), λ¬Όκ³Ό μλ―Έλ
Έμ° μ©μ‘ κ°μ μ΅μμ κ³±νκ· μ μ°¨λ β₯5 mg/mlμ λλλ₯Ό κ°λ νλΈμ λν΄μλ 0.1μμ 0.3 mg/mlμμΌλ©°, β€1 mg/mlμ λλλ₯Ό κ°λ νλΈμμλ -0.4μμ -0.1 mg/mlμλ€. λ³μ μ€ μ€ννΈλ΄ λ 벨μ μΈ‘μ μ μν₯μ λ―ΈμΉμ§ μμλ€ (P=0.647). Part IIIμμ μ°Έμ‘°μμ¦κ° κΈ°μ€κ°μ(0.4 mg/ml) νμ-λμ‘°κ΅° μ°κ΅¬μμ κ°μ΄μμ’
κ³Ό κ°μ΄μ λμ’
μ ꡬλΆνλλ° μμ΄ λ―Όκ°λ 100%, νΉμ΄λ 85.7%, μ νλ 90.9%, μμ± μμΈ‘λ₯ 80.0%, μμ± μμΈ‘λ₯ 100%λ₯Ό 보μλ€.
κ²°λ‘ : μμ€λ λ°λλ μ΄μ’
μλμ§ CT 촬μκΈ°κ³μ μν₯μ λ°μ§ μλ μΈ‘μ κ°μ΄λ€. μμ€λ λ°λλ CT νλ λ³μμ μ μν μν₯μ λ°μΌλ, μ§λ¨μ CTμ λ²μ λ΄μμ κ·Έ μν₯μ μ λλ λ―Έλ―Ένλ€. μ°Έμ‘°μμ¦κ° μμ€λ λ°λ κΈ°μ€κ°μ(0.4 mg/ml) κ°μ΄μμ’
κ³Ό κ°μ΄μ λμ’
μ μ ννκ² κ΅¬λΆν μ μλ μ μ©ν νλΌλ―Έν°μ΄λ€.Purpose: To analyze the effect of dual-energy computed tomography (DECT) scanners, acquisition parameters, and fluid characteristics on iodine quantification and to calculate and validate the measurement variability range induced by those variables.
Methods: In Part I and II, experimental studies were performed using four mediastinal iodine phantoms. Phantoms were scanned with three different DECT scanners from major vendors using various acquisition parameters and their effects on the measurement of iodine density (IoD) were investigated using linear mixed-effect models. Measurement variability range of IoD was also calculated. In Part III, diagnostic usefulness of the true enhancement cutoff was retrospectively validated in patients who underwent surgical resections for thymic cysts and thymic epithelial tumors.
Results: In Part I, absolute error of IoD was not significantly affected by the DECT systems and kind of solvents (P>0.05). Measurement variability range was from -0.6 to 0.4 mg/ml for the true iodine concentration 0 mg/ml. In Part II, tube voltage (P<0.001) and tube current-time product (P<0.05, depending on the interaction terms) had statistically significant effects on IoD. However, the magnitude of their effects was minimal in the range of diagnostic CT scans. Solvents also had significant effects on IoD (P=0.007). Specifically, the difference of least squares means between water and amino acid solution ranged from 0.1 to 0.3 for tubes with iodine concentrations β₯5 mg/ml and from -0.4 to -0.1 mg/ml for tubes with iodine concentrations β€1 mg/ml. Spectral level was not an affecting factor (P=0.647). In Part III, the true enhancement cutoff for IoD, which was 0.4 mg/ml, exhibited diagnostic sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of 100%, 85.7%, 90.9%, 80.0%, and 100%, respectively, for the differentiation of thymic epithelial tumors from thymic cysts.
Conclusions: IoD measurement is robust to the DECT scanners from different vendors. IoD is significantly affected by the acquisition parameters, but the magnitude of effects are minimal in the range of diagnostic CT scans. The true enhancement cutoff of 0.4 mg/ml is an accurate parameter for the differentiation of thymic epithelial tumors from thymic cysts.Abstract i
Contents iv
List of tables and figures v
List of Abbreviations vi
Introduction 1
Part I. Materials and Methods 4
Part I. Results 14
Part II. Materials and Methods 30
Part II. Results 36
Part III. Materials and Methods 45
Part III. Results 51
Discussion 54
References 65
Abstract in Korean 74Docto
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