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您的检索式：作者名="Stephen Dorman"
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| 1 | Low-radiation and high image quality coronary computed tomography angiography in “real-world” unselected patients显示文摘AIM To determine the radiation dose and image quality in coronary computed tomography angiography(CCTA)using state-of-the-art dose reduction methods in unselected'real world'patients.METHODS In this single-centre study,consecutive patients in sinus rhythm underwent CCTA for suspected coronary artery disease(CAD)using a 320-row detector CT scanner.All patients underwent the standard CT acquisition protocol at our institute(Morriston Hospital)a combination of dose saving advances including prospective electrocardiogram-gating,automated tube current modulation,tube voltage reduction,heart rate reduction,and the most recent novel adaptive iterative dose reconstruction 3D(AIDR3D)algorithm.The cohort comprised real-world patients for routine CCTA who were not selected on age,body mass index,or heart rate.Subjective image quality was graded on a 4-point scale(4=excellent,1=non-diagnostic).RESULTS A total of 543 patients were included in the study with a mean body weight of 81±18 kg and a pre-scan mean heart rate of 70±11 beats per minute(bpm).When indicated,patients received rate-limiting medication with an oral beta-blocker followed by additional intravenous beta-blocker to achieve a heart rate below 65 bpm.The median effective radiation dose was 0.88 mSv(IQR,0.6-1.4 mSv)derived from a Dose Length Product of61.45 mGy.cm(IQR,42.86-100.00 mGy.cm).This also includes what we believe to be the lowest ever-reported radiation dose for a routine clinical CCTA(0.18 mSv).The mean image quality(SD)was 3.65±0.61,with a subjective image quality score of 3('good')or above for 93%of patient CCTAs.CONCLUSION Combining a low-dose scan protocol and AIDR3D with a 320-detector row CT scanner can provide high quality images at exceptionally low radiation dose in unselected patients being investigated for CAD. | Caryl Elizabeth Richards Stephen Dorman Patricia John Anthony Davies Sharon Evans Tishi Ninan David Martin Sriranj Kannoly Gail Roberts-Davies Mark Ramsey Daniel Rhys Obaid | 2018 | World Journal of Radiology2018，10，10： | 3 |
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