Faculté des Sciences et Techniques, Université Marien Ngouabi, BP 69, Brazzaville, Congo.
Institut National de Recherche en Sciences Exactes et Naturelles, PB 2400, Brazzaville, Congo.
Radiol Phys Technol. 2022 Dec;15(4):379-386. doi: 10.1007/s12194-022-00678-y. Epub 2022 Sep 3.
The present study aimed to evaluate adult patient data collected from three hospitals in Brazzaville, Congo Republic, for the purpose of estimating organ and effective doses for each included examination type. A total of 1277 adult patients (aged 16-97 years) who underwent head, chest, abdominopelvic (AP), chest-abdomen-pelvis (CAP), and lumbar spine computed tomography scans were considered. The organ and effective doses were estimated using a Monte Carlo-based method. The effective doses were also determined using k-factors. In general, the organ and effective doses estimated in this study were higher than those reported in the literature. The k-factor method underestimated the effective dose by up to 65.9%. This study demonstrates that urgent steps should be taken to reduce doses administered to patients to optimal levels. Such optimal levels may be achieved by adopting local diagnostic reference levels, together with the implementation of dose reduction strategies.
本研究旨在评估刚果共和国布拉柴维尔三家医院收集的成年患者数据，目的是估算每种纳入检查类型的器官和有效剂量。共考虑了 1277 名成年患者（年龄 16-97 岁），他们接受了头部、胸部、腹部骨盆（AP）、胸部-腹部-骨盆（CAP）和腰椎计算机断层扫描检查。使用基于蒙特卡罗的方法估算器官和有效剂量。还使用 k 因子确定有效剂量。总的来说，本研究中估算的器官和有效剂量高于文献报道的剂量。k 因子法低估了有效剂量，最多可达 65.9%。本研究表明，应采取紧急措施将患者接受的剂量降低到最佳水平。可以通过采用局部诊断参考水平以及实施剂量降低策略来达到这种最佳水平。
