Puentes John, Batrancourt Bénédicte, Atif Jamal, Angelini Elsa, Lecornu Laurent, Zemirline Abdelhamid, Bloch Isabelle, Coatrieux Gouenou, Roux Christian
Institut TELECOM; TELECOM Bretagne, GET, Département Image et Traitement de l'Information, Brest, France.
Comput Biol Med. 2008 Apr;38(4):425-37. doi: 10.1016/j.compbiomed.2008.01.009. Epub 2008 Mar 5.
Current electronic patient record (EPR) implementations do not incorporate medical images, nor structural information extracted from them, despite images increasing role for diagnosis. This paper presents an integration framework into EPRs of anatomical and pathological knowledge extracted from segmented magnetic resonance imaging (MRI), applying a graph of representation for anatomical and functional information for individual patients. Focusing on cerebral tumors examination and patient follow-up, multimedia EPRs were created and evaluated through a 3D navigation application, developed with open-source libraries and standards. Results suggest that the enhanced clinical information scheme could lead to original changes in the way medical experts utilize image-based information.
当前的电子病历(EPR)系统并未纳入医学图像,也没有纳入从这些图像中提取的结构信息,尽管图像在诊断中所起的作用日益增大。本文提出了一个将从分割磁共振成像(MRI)中提取的解剖学和病理学知识集成到电子病历中的框架,应用个体患者的解剖学和功能信息的图形表示。以脑肿瘤检查和患者随访为重点,通过一个使用开源库和标准开发的3D导航应用程序创建并评估了多媒体电子病历。结果表明,增强的临床信息方案可能会导致医学专家利用基于图像信息的方式发生根本性变化。