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急诊重症监护病房脓毒症患者的胸部计算机断层扫描。

Chest computed tomography for patients with sepsis in the emergency intensive care unit.

机构信息

Emergency and Critical Care Center, Department of Emergency Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.

Center for Rehabilitation Medicine, Department of Radiology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.

出版信息

Sci Data. 2024 Nov 20;11(1):1261. doi: 10.1038/s41597-024-04132-z.

Abstract

Sepsis is a systemic inflammatory response syndrome (SIRS) caused by infection, which may lead to multiple organ dysfunction in susceptible patient. The most frequently involved organs/systems include the lung, kidney and circulation system. It is well established that sepsis is a risk factor for acute lung injury. While overt pulmonary infiltrates can be well captured by human operators, subtle structural changes of the lung might be ignored. Since the advantage of chest computed tomography (CT) is its capability of providing fine structural changes in high spatial resolution, the study of chest CT by means of computer science may provide further insights into the underlying pathophysiology. The integration of chest CT into the study of sepsis is limited partly due to the lack of well-curated database. The study aims to establish a database comprising detailed clinical tabular data, as well as the raw chest CT images. The database is intended to support a wide array of research studies involving radiomics in sepsis patients, helping to reduce barriers to the reproducibility of clinical research.

摘要

脓毒症是一种由感染引起的全身炎症反应综合征(SIRS),可能导致易感患者的多个器官功能障碍。最常涉及的器官/系统包括肺、肾和循环系统。脓毒症是急性肺损伤的一个危险因素,这一点已得到充分证实。虽然明显的肺部浸润可以被操作人员很好地捕捉到,但肺部的细微结构变化可能会被忽略。由于胸部计算机断层扫描(CT)的优势在于能够以高空间分辨率提供精细的结构变化,因此通过计算机科学研究胸部 CT 可能会进一步深入了解潜在的病理生理学。将胸部 CT 纳入脓毒症的研究受到限制,部分原因是缺乏精心整理的数据库。本研究旨在建立一个包含详细临床表格数据以及原始胸部 CT 图像的数据库。该数据库旨在支持涉及脓毒症患者放射组学的广泛研究,有助于降低临床研究可重复性的障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58af/11579395/5a10bd751889/41597_2024_4132_Fig1_HTML.jpg

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