Potential for Dose Reduction in CT-Derived Left Ventricular Ejection Fraction: A Simulation Study.

IF 2.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Tomography Pub Date : 2023-11-15 DOI:10.3390/tomography9060164
Martin Weber Kusk, Søren Hess, Oke Gerke, Shane J Foley
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Abstract

Background: Measuring left ventricular ejection fraction (LVEF) is important for detecting heart failure, e.g., in treatment with potentially cardiotoxic chemotherapy. MRI is considered the reference standard for LVEF, but availability may be limited and claustrophobia or metal implants still present challenges. CT has been shown to be accurate and would be advantageous, as LVEF could be measured in conjunction with routine chest-abdomen-pelvis oncology CT. However, the use of CT is not recommended due to the excessive radiation dose. This study aimed to explore the potential for dose reduction using simulation. Using an anthropomorphic heart phantom scanned at 13 dose levels, a noise simulation algorithm was developed to introduce controlled Poisson noise. Filtered backprojection parameters were iteratively tested to minimise differences in myocardium-to-ventricle contrast/noise ratio, as well as structural similarity index (SSIM) differences between real and simulated images at all dose levels. Fifty-one clinical CT coronary angiographies, scanned with full dose through end-systolic and -diastolic phases, were located retrospectively. Using the developed algorithm, noise was introduced corresponding to 25, 10, 5 and 2% of the original dose level. LVEF was measured using clinical software (Syngo.via VB50) with papillary muscles in and excluded from the LV volume. At each dose level, LVEF was compared to the 100% dose level, using Bland-Altman analysis. The effective dose was calculated from DLP using a conversion factor of 0.026 mSv/mGycm.

Results: In the clinical images, mean CTDIvol and DLP were 47.1 mGy and 771.9 mGycm, respectively (effective dose 20.0 mSv). Measurements with papillary muscles excluded did not exhibit statistically significant LVEF bias to full-dose images at 25, 10 and 5% simulated dose. At 2% dose, a significant bias of 4.4% was found. With papillary muscles included, small but significant biases were found at all simulated dose levels.

Conclusion: Provided that measurements are performed with papillary muscles excluded from the LV volume, the dose can be reduced by a factor of 20 without significantly affecting LVEF measurements. This corresponds to an effective dose of 1 mSv. CT can potentially be used for LVEF measurement with minimal excessive radiation.

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ct衍生左心室射血分数的剂量降低潜力:模拟研究。
背景:测量左心室射血分数(LVEF)对于检测心力衰竭很重要,例如,在接受潜在心脏毒性化疗的治疗中。MRI被认为是LVEF的参考标准,但可用性可能有限,幽闭恐惧症或金属植入物仍然存在挑战。由于LVEF可与常规胸腹骨盆肿瘤CT联合测量,因此CT已被证明是准确且有利的。但由于辐射剂量过大,不建议使用CT。本研究旨在探讨使用模拟方法降低剂量的可能性。利用在13个剂量水平下扫描的拟人化心脏幻象,开发了一种噪声模拟算法来引入受控泊松噪声。反复测试过滤后的反向投影参数,以尽量减少所有剂量水平下真实图像和模拟图像之间的对比度/噪声比差异,以及结构相似指数(SSIM)差异。回顾性分析了51例临床CT冠状动脉造影,全剂量扫描于收缩期末和舒张期。利用所开发的算法,分别在原剂量水平的25.0%、10.0%、5%和2%处引入噪声。使用临床软件(Syngo)测量LVEF。通过VB50),乳头肌在左室容积内和左室容积外。采用Bland-Altman分析,将每个剂量水平下的LVEF与100%剂量水平进行比较。有效剂量由DLP计算,换算系数为0.026 mSv/mGycm。结果:临床图像中CTDIvol均值为47.1 mGy, DLP均值为771.9 mGycm,有效剂量为20.0 mSv。在25,10和5%模拟剂量下,排除乳头肌的测量结果对全剂量图像的LVEF偏差没有统计学意义。在2%的剂量下,发现显著偏差为4.4%。包括乳头肌在内,在所有模拟剂量水平下都发现了小但显著的偏差。结论:如果将乳头肌排除在左室容积之外进行测量,则剂量可以减少20倍,而不会显著影响左室容积的测量。这相当于1毫西弗的有效剂量。CT可以潜在地用于LVEF测量,而过度辐射最小。
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来源期刊
Tomography
Tomography Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
2.70
自引率
10.50%
发文量
222
期刊介绍: TomographyTM publishes basic (technical and pre-clinical) and clinical scientific articles which involve the advancement of imaging technologies. Tomography encompasses studies that use single or multiple imaging modalities including for example CT, US, PET, SPECT, MR and hyperpolarization technologies, as well as optical modalities (i.e. bioluminescence, photoacoustic, endomicroscopy, fiber optic imaging and optical computed tomography) in basic sciences, engineering, preclinical and clinical medicine. Tomography also welcomes studies involving exploration and refinement of contrast mechanisms and image-derived metrics within and across modalities toward the development of novel imaging probes for image-based feedback and intervention. The use of imaging in biology and medicine provides unparalleled opportunities to noninvasively interrogate tissues to obtain real-time dynamic and quantitative information required for diagnosis and response to interventions and to follow evolving pathological conditions. As multi-modal studies and the complexities of imaging technologies themselves are ever increasing to provide advanced information to scientists and clinicians. Tomography provides a unique publication venue allowing investigators the opportunity to more precisely communicate integrated findings related to the diverse and heterogeneous features associated with underlying anatomical, physiological, functional, metabolic and molecular genetic activities of normal and diseased tissue. Thus Tomography publishes peer-reviewed articles which involve the broad use of imaging of any tissue and disease type including both preclinical and clinical investigations. In addition, hardware/software along with chemical and molecular probe advances are welcome as they are deemed to significantly contribute towards the long-term goal of improving the overall impact of imaging on scientific and clinical discovery.
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