low kvp
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Author(s):  
Atul Kapoor ◽  
Goldaa Mahajan ◽  
Aprajita Kapoor

Abstract Objective The aim of this study was to evaluate the use of low peak kilovoltage (kVp) low-volume iodinated contrast protocol for performing coronary computed tomography (CT) angiography (CCTA) in patients using retrospective electrocardiogram (ECG) gating. Materials and Methods Hundred prospective patients undergoing CCTA were studied in two groups, A and B, using 70 kilovoltage (kV) and 120 kV protocols with half and standard intravenous volumes of injected iodinated contrast, respectively. All patients had heart rates less than 100 beats/min and body mass index (BMI) less than 31 kg/m2. Both the groups were evaluated for signal-to-noise (S/N) and contrast-to-noise (C/N) ratios along with radiation dose delivered in millisievert (mSv), and for image quality (IQ), on per patient and per segment basis. Results Patients with group A showed statistically reduced radiation dose of 1.86 mSv compared with 6.86 mSv in group B patients. Marked reduction in image noise with statistically improved S/N and C/N ratios in all coronary vessels was seen in group A. S/N ratios in group A were 20.25, 18.68, 19.04, 17.41, and 18.69 for aorta, left main, left anterior descending, right coronary, and left circumflex arteries while they were 13.34, 11.12, 10.96, 9.74, and 8.67 in group B patients. C/N ratios were also higher in all vessels in group A patients, that is, 19.48, 19.48, 19.04, 19.48, and 17.68, compared with group B patients, who had 12.43, 10.03, 9.23, 9.57, and 8.23 ratios (p < 0.0001). No significant difference in IQ per patient and per vessel was seen between both the groups. Discussion Retrospective ECG-gated low-kVp low-volume iodinated contrast protocol provides good diagnostic quality angiograms in patients with BMI up to 31 kg/m2 and with heart rates of less than 100 beats/min with three times reduced radiation dose. The reduced volume of contrast reduces the cost as well as the chance of contrast-induced nephropathy.


Author(s):  
Jeongin Yoo ◽  
Jeong Min Lee ◽  
Jeong Hee Yoon ◽  
Ijin Joo ◽  
Eun Sun Lee ◽  
...  

2020 ◽  
Vol 9 (3) ◽  
pp. 205846012091057
Author(s):  
Fredrik Holmquist ◽  
Marcus Söderberg ◽  
Ulf Nyman ◽  
Tobias Fält ◽  
Roger Siemund ◽  
...  

2019 ◽  
Vol 92 (1104) ◽  
pp. 20190470 ◽  
Author(s):  
Craig Steven Moore ◽  
Tim Wood ◽  
Ged Avery ◽  
Steve Balcam ◽  
Liam Needler ◽  
...  

Objective: The aim of this study was to investigate via computer simulation a proposed improvement to clinical practice by deriving an optimized tube voltage (kVp) range for digital radiography (DR) chest imaging. Methods: A digitally reconstructed radiograph algorithm was used which was capable of simulating DR chest radiographs containing clinically relevant anatomy. Five experienced image evaluators graded clinical image criteria, i.e. overall quality, rib, lung, hilar, spine, diaphragm and lung nodule in images of 20 patients at tube voltages across the diagnostic energy range. These criteria were scored against corresponding images of the same patient reconstructed at a specific reference kVp. Evaluators were blinded to kVp. Evaluator score for each criterion was modelled with a linear mixed effects algorithm and compared with the score for the reference image. Results: Score was dependent on tube voltage and image criteria in a statistically significant manner for both. Overall quality, hilar, diaphragm and spine criteria performed poorly at low and high tube voltages, peaking at 80–100 kVp. Lung and lung nodule demonstrated little variation. Rib demonstrated superiority at low kVp. Conclusion: A virtual clinical trial has been performed with simulated chest DR images. Results indicate mid-range tube voltages of 80–100 kVp are optimum for average adults. Advances in knowledge: There are currently no specific recommendations for optimized tube voltage parameters for DR chest imaging. This study, validated with images containing realistic anatomical noise, has investigated and recommended an optimal tube voltage range.


2019 ◽  
Vol 90 (2) ◽  
pp. 269-277 ◽  
Author(s):  
Manhal Eliliwi ◽  
Mohamed Bazina ◽  
Juan Martin Palomo

ABSTRACT Objectives: To evaluate the effect of changing kVp, mA, and voxel size on the accuracy of voxel-based superimposition on the anterior cranial base. Materials and Methods: Cone beam computed tomography (CBCT) scans were taken on a phantom skull using different kVp, mA, and voxel size combinations. CBCT scans were superimposed using commercially available software. Two separate open-source software programs were used to generate a three-dimensional (3D) color map objective assessment of the differences in seven different regions: Nasion, Point A, Zygomatic (right and left), Point B, and Gonial (right and left). Each region had around 200 points that were used to calculate the mean differences between the superimpositions. Results: Intraclass correlation showed excellent reliability (0.95). Lowering the kVp made the biggest difference, showing an average discrepancy of 0.7 ± 0.3 mm, and a high mean of 1.4 ± 0.3 in the Right Gonial region. Lowering the mA showed less of a discrepancy, with an average of 0.373 ± 0.2 mm, and the highest discrepancy, also on the Right Gonial Area, of 0.7 ± 0.1 mm. The voxel size had the least impact on the accuracy of registered volumes, with mean discrepancy values of less than 0.2 mm. Conclusions: Using different CBCT settings can affect the accuracy of the voxel-based superimposition method. This is particularly the case when using low kVp values, while changes in mA or voxel sizes did not significantly interfere with the superimposition outcome.


Radiology ◽  
2019 ◽  
Vol 291 (3) ◽  
pp. 620-629 ◽  
Author(s):  
Anushri Parakh ◽  
Adrian Antonio Negreros-Osuna ◽  
Manuel Patino ◽  
Fredrick McNulty ◽  
Avinash Kambadakone ◽  
...  

2018 ◽  
Vol 29 (6) ◽  
pp. 2878-2889 ◽  
Author(s):  
Peijie Lv ◽  
Zhigang Zhou ◽  
Jie Liu ◽  
Yaru Chai ◽  
Huiping Zhao ◽  
...  

2018 ◽  
Vol 123 (12) ◽  
pp. 918-925 ◽  
Author(s):  
Douglas H. Sheafor ◽  
Mark D. Kovacs ◽  
Philip Burchett ◽  
Melissa M. Picard ◽  
Brenton Davis ◽  
...  

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