肿瘤内分泌学中的多模式数据库: 放射性碘难治性分化型甲状腺癌
- 作者: Rumyantsev P.O.1, Baidak A.G.2
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隶属关系:
- International Medical Center “SOGAZ-MEDICINE”
- M-Data
- 期: 卷 3, 编号 1 (2022)
- 页面: 86-93
- 栏目: Editorials
- URL: https://journals.rcsi.science/DD/article/view/104745
- DOI: https://doi.org/10.17816/DD104745
- ID: 104745
如何引用文章
详细
个性化循证医学和肿瘤学方面的高成就,尤其是在发达国家,与成功开发了多模式数据库“临床”癌症患者登记系统(SEER、NCDB 等)有关。它们是用于开发分析和预后工具的数据矩阵,用于研究诊断特征、疾病的临床过程、对治疗的反应、评估预后因素的影响等。 从医疗数字数据库的角度来看,在做出医疗决策时,数据的冗余和重复并不像信息的不完整或不一致那么重要。本文目的是宣布一个放射性碘难治性分化型甲状腺癌患者的多模式数据库,该数据库本质上是一个现代跨学科数字医疗登记系统。除了流行病学登记的典型人口统计学和疾病学数据外,多模式数据库还考虑了关键的临床和临床旁数据:实验室结果、形态学和仪器研究方法、各种成像方法(超声、CT、MRI、SPECT/CT、PET/计算机断层扫描)。多模式数据库展示了肿瘤分子遗传学谱的结果,其在治疗策略选择中的临床实用性在今天是毫无疑问的。所有这些数据都累积在多模式数据库中,并在执行时间、审查结果(第二意见)上进行标记,同时考虑到可能影响临床过程、治疗反应的标准化定性和定量参数(因素),并发症和结果的发展。
作者简介
Pavel O. Rumyantsev
International Medical Center “SOGAZ-MEDICINE”
Email: pavelrum@gmail.com
ORCID iD: 0000-0002-7721-634X
SPIN 代码: 7085-7976
MD, Dr.Sci. (Med), Deputy Director of Oncoendocrine Institute
俄罗斯联邦, 8, Malaya Konyushennaya, Saints Peterburg, 191186Andrey G. Baidak
M-Data
编辑信件的主要联系方式.
Email: baidak@medical-data.ru
俄罗斯联邦, Orel
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