Department of Radiology, University of California, San Diego, 200 W. Arbor Drive, San Diego, CA, 92103, USA.
Department of Radiology, VA Medical Center, San Diego, 3350 La Jolla Village Drive, Mail Code: 114, San Diego, CA, 92161, USA.
Abdom Radiol (NY). 2019 Dec;44(12):3786-3799. doi: 10.1007/s00261-019-02111-2.
Computed tomography urography (CTU) has emerged as the modality of choice for imaging the urinary tract within the past few decades. It is a powerful tool that enables detailed anatomic evaluation of the urinary tract in order to identify primary urothelial malignancies, benign urinary tract conditions, and associated abdominopelvic pathologies. As such, there have been extensive efforts to optimize CTU protocol.
This article reviews the published literature on CTU protocol optimization, including contrast bolus timing, dose reduction, reconstruction algorithms, and ancillary practices.
There have been many advances in CTU techniques, which allow for imaging diagnosis of a wide spectrum of diseases while minimizing radiation dose and maximizing urinary tract distension and opacification.
在过去几十年中，计算机断层尿路造影（CTU）已成为尿路成像的首选方式。它是一种强大的工具，可详细评估尿路的解剖结构，以识别原发性尿路上皮恶性肿瘤、良性尿路疾病和相关的腹盆腔病变。因此，人们一直在努力优化 CTU 方案。
本文综述了 CTU 方案优化的相关文献，包括对比剂团注时间、剂量减少、重建算法和辅助实践。
CTU 技术取得了许多进展，在尽量减少辐射剂量的同时，最大限度地增加尿路扩张和显影，从而实现了广泛疾病的影像学诊断。
