Spectral Detector Computed Tomography Pulmonary Angiography: Improved Diagnostic Assessment and Automated Estimation of Window Settings Angiography of Pulmonary Arteries From Novel Spectral Detector Computed Tomography Provides Improved Image Quality if Settings are Adjusted

作     者：Hokamp, Nils Grosse Kessner, Rivka Van Hedent, Steven Graner, Frank Philipp Gupta, Amit Gilkeson, Robert 

作者机构：Univ Hosp Cleveland Med Ctr Dept Radiol 11000 Euclid Ave Cleveland OH 44106 USA Case Western Reserve Univ Dept Radiol Cleveland OH 44106 USA Univ Hosp Brussels Dept Radiol Brussels Belgium 

出 版 物：《JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY》 (计算机辅助X线断层摄影术杂志)

年 卷 期：2018年第42卷第6期

页      面：850-857页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 100207[医学-影像医学与核医学] 1006[医学-中西医结合] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 08[工学] 1010[医学-医学技术（可授医学、理学学位）] 100106[医学-放射医学] 1009[医学-特种医学] 10[医学] 100602[医学-中西医结合临床] 

基　　金：Ohio Third Frontier Commission grant from State of Ohio Department of Development Philips 

主　　题：dual-energy computed tomography spectral detector computed tomography image quality image postprocessing window settings pulmonary emboli 

摘      要：Objective This study aimed to evaluate image quality (IQ) of virtual monoenergetic images (VMIs) from novel spectral detector computed tomography angiography of the pulmonary arteries and to identify appropriate window settings for each kiloelectron volt level. Materials Forty consecutive patients were included in this institutional review board-approved, Health Insurance Portability and Accountability Act-compliant study. Signal- and contrast-to-noise ratios were calculated within the pulmonary trunk, and pulmonary/lobar/segmental arteries were calculated. The IQ and diagnostic certainty were rated by 2 radiologists on 5-point scales. In addition, they recorded appropriate window settings (center/width) that were linearly modeled against attenuation within the pulmonary trunk to generate generable results. Results Signal- and contrast-to-noise ratios, IQ, and diagnostic certainty are significantly increased in low-kiloelectron volt VMIs (60 keV). Interrater agreement was excellent (? = 0.89). We developed 2 linear models (R-2: 0.91-0.97 and R-2: 0.43-0.91, respectively, P 0.01), that suggest appropriate window settings. Conclusions The VMIs from spectral detector computed tomography improve objective and subjective IQ in angiography of the pulmonary arteries, if window settings are adjusted;they can be automatically estimated using reported linear models.