Non-invasive characterization of renal stones

在美国，症状性尿路结石疾病每年影响约90万人，估计每年造成45亿美元的医疗费用。计算机断层扫描（CT）是尿路结石成像的既定方法，可以提供精确的亚毫米级肾结石大小和位置的细节。然而，一个完整的肾结石特征，包括结石组成和易碎性，对于安全和具有成本效益的结石疾病管理以及研究对象的表型分析是至关重要的。

Symptomatic urinary stone disease affects approximately 900,000 persons in the United States each year, resulting in an estimated annual medical cost of $4.5 billion. Computed tomography (CT) is the established method for imaging urinary calculi and can provide accurate sub-millimeter details of the size and location of renal stones. However, a complete characterization of renal stones, which includes stone composition and fragility, is critically needed for safe and cost effective management of stone disease, as well as for phenotyping of research subjects. Our long term goal is to use advanced CT methodologies to fully characterize urinary calculi, and to use evolving technology to reliably detect stone precursor lesions. Our objectives in this application are to develop a comprehensive, low-dose, stone-characterization exam using commercially-available dual-energy CT technology, and to detect stone precursor lesions using a prototype CT system equipped with energy resolving detectors. Based on our extensive preliminary results, we know that dual-energy CT can discriminate between several types of renal stones and provide accurate quantification of stone morphology. Our central hypothesis is that this quantitative information can be acquired at reduced dose levels and used to predict stone fragility, which we define as the likelihood of a stone to be broken by SWL or endoscopic methods. We further hypothesize that use of pre-clinical, 225-micron, energy-resolving CT detectors will allow detection of stone precursor lesions such as Randall's plaques, as well as the presence of trace elements having a suspected role in stone formation, such as zinc. We will accomplish these objectives through two specific aims: 1) Aim 1: Develop and validate a comprehensive low-dose stone-characterization exam using clinical dual-energy CT techniques. 2) Aim 2: Develop a pre-clinical spectral CT imaging technique that can detect precursor lesions and trace elements related to the formation of kidney stones.