临床和转化环境中的空间肺部成像。

IF 2.3 Q2 RESPIRATORY SYSTEM
Breathe Pub Date : 2024-10-01 DOI:10.1183/20734735.0224-2023
Irma Mahmutovic Persson, Gracijela Bozovic, Gunilla Westergren-Thorsson, Sara Rolandsson Enes
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引用次数: 0

摘要

对于许多严重的肺部疾病,成像中的非侵入性生物标志物可以改善肺部损伤或疾病发作的早期检测,确定诊断,或帮助跟踪疾病进展和治疗策略。由于胸部和肺部的大小、呼吸运动、心脏搏动的转移、密度范围大以及重力敏感性等原因,胸部和肺部的成像具有挑战性。然而,这一快速发展的领域正在进行广泛的研究。空间成像技术的最新进展使我们能够研究肺的三维结构,提供单细胞分辨率的空间结构和转录组信息。然而,这种快速发展也带来了一些挑战,包括重要的图像文件存储和网络容量问题、成本增加、数据处理和分析、人工智能和机器学习的作用以及结合多种模式的机制。在本综述中,我们将概述空间肺成像领域的进展和当前问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial lung imaging in clinical and translational settings.

For many severe lung diseases, non-invasive biomarkers from imaging could improve early detection of lung injury or disease onset, establish a diagnosis, or help follow-up disease progression and treatment strategies. Imaging of the thorax and lung is challenging due to its size, respiration movement, transferred cardiac pulsation, vast density range and gravitation sensitivity. However, there is extensive ongoing research in this fast-evolving field. Recent improvements in spatial imaging have allowed us to study the three-dimensional structure of the lung, providing both spatial architecture and transcriptomic information at single-cell resolution. This fast progression, however, comes with several challenges, including significant image file storage and network capacity issues, increased costs, data processing and analysis, the role of artificial intelligence and machine learning, and mechanisms to combine several modalities. In this review, we provide an overview of advances and current issues in the field of spatial lung imaging.

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来源期刊
Breathe
Breathe RESPIRATORY SYSTEM-
CiteScore
2.90
自引率
5.00%
发文量
51
审稿时长
12 weeks
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