Van der Veken Matthias, Aertsen Michael, Brouwers Joachim, Stillhart Cordula, Parrott Neil, Augustijns Patrick
Drug Delivery and Disposition, KU Leuven, Gasthuisberg O&N II, Herestraat 49-Box 921, 3000 Leuven, Belgium.
Department of Imaging and Pathology, Clinical Department of Radiology, University Hospitals KU Leuven, 3000 Leuven, Belgium.
Pharmaceutics. 2022 Sep 13;14(9):1935. doi: 10.3390/pharmaceutics14091935.
The volume and distribution of fluids available in the gastrointestinal (GI) tract may substantially affect oral drug absorption. Magnetic resonance imaging (MRI) has been used in the past to quantify these fluid volumes in adults and its use is now being extended to the pediatric population. The present research pursued a retrospective, explorative analysis of existing clinical MRI data generated for pediatric patients. Images of 140 children from all pediatric subpopulations were analyzed for their resting GI fluid volumes in fasting conditions. In general, an increase in fluid volume as a function of age was observed for the stomach, duodenum, jejunum, and small intestine (SI) as a whole. No specific pattern was observed for the ileum and colon. Body mass index (BMI), body weight, body height, and SI length were evaluated as easy-to-measure clinical estimators of the gastric and SI fluid volumes. Although weight and height were identified as the best estimators, none performed ideally based on the coefficient of determination (R). Data generated in this study can be used as physiologically relevant input for biorelevant in vitro tests and in silico models tailored to the pediatric population, thereby contributing to the efficient development of successful oral drug products for children.
胃肠道（GI）中可用液体的体积和分布可能会极大地影响口服药物的吸收。过去，磁共振成像（MRI）已被用于量化成人的这些液体体积，现在其应用正在扩展到儿科人群。本研究对为儿科患者生成的现有临床MRI数据进行了回顾性探索性分析。分析了来自所有儿科亚群体的140名儿童在禁食条件下的静息胃肠道液体体积图像。总体而言，观察到胃、十二指肠、空肠和整个小肠（SI）的液体体积随年龄增加。回肠和结肠未观察到特定模式。体重指数（BMI）、体重、身高和SI长度被评估为胃和SI液体体积易于测量的临床估计指标。尽管体重和身高被确定为最佳估计指标，但基于决定系数（R），没有一个指标表现理想。本研究生成的数据可作为生理相关输入，用于针对儿科人群定制的生物相关体外试验和计算机模拟模型，从而有助于高效开发成功的儿童口服药物产品。
