论文标题
分子靶向对比增强超声的计算增强:对人乳腺肿瘤成像的应用
Computational Enhancement of Molecularly Targeted Contrast-Enhanced Ultrasound: Application to Human Breast Tumor Imaging
论文作者
论文摘要
分子靶向对比增强的超声(MCEU)是通过靶向VEGFR2(KDR)受体的靶向成像早期癌症检测的临床有前途的方法。我们已经开发了针对MCEUS量身定制的计算增强技术,以应对人类成像对比度积累的独特挑战。这些技术利用动态分析将分子结合的对比剂与其他对比模式信号源区分开,从而在对比度注号剂到达期间进行的对比剂积累分析时,当分子结合引起的信号最强时。 计算增强应用于第一个人类分子超声乳房病变研究的18个人类患者检查,在现实中涉及患者和探针运动的现实世界检查状况中,在病情和正常组织中,在涉及患者和探针运动的情况下,在现实世界中均超过了一阶(超过10次),计算增强的能力提高了病理表现出的病变和病理的正常组织的能力。值得注意的是,计算增强消除了假阳性结果,在这种结果中,放射科医生误解了组织泄漏信号是对比剂的积累。
Molecularly targeted contrast enhanced ultrasound (mCEUS) is a clinically promising approach for early cancer detection through targeted imaging of VEGFR2 (KDR) receptors. We have developed computational enhancement techniques for mCEUS tailored to address the unique challenges of imaging contrast accumulation in humans. These techniques utilize dynamic analysis to distinguish molecularly bound contrast agent from other contrast-mode signal sources, enabling analysis of contrast agent accumulation to be performed during contrast bolus arrival when the signal due to molecular binding is strongest. Applied to the 18 human patient examinations of the first-in-human molecular ultrasound breast lesion study, computational enhancement improved the ability to differentiate between pathology-proven lesion and pathology-proven normal tissue in real-world human examination conditions that involved both patient and probe motion, with improvements in contrast ratio between lesion and normal tissue that in most cases exceed an order of magnitude (10x). Notably, computational enhancement eliminated a false positive result in which tissue leakage signal was misinterpreted by radiologists to be contrast agent accumulation.