Spatial lung imaging in clinical and translational settings
Mahmutovic Persson, Irma LU ; Bozovic, Gracijela LU ; Westergren-Thorsson, Gunilla LU
and Rolandsson Enes, Sara
LU
(2024)
In Breathe
20(3).
p.1-11
- Abstract
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... (More)
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.
(Less)
- author
- Mahmutovic Persson, Irma
LU
; Bozovic, Gracijela
LU
; Westergren-Thorsson, Gunilla
LU
and Rolandsson Enes, Sara
LU
- organization
- publishing date
- 2024-10
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Breathe
- volume
- 20
- issue
- 3
- article number
- 230224
- pages
- 1 - 11
- publisher
- European Respiratory Society
- external identifiers
-
- pmid:39360023
- scopus:85206881458
- ISSN
- 1810-6838
- DOI
- 10.1183/20734735.0224-2023
- language
- English
- LU publication?
- yes
- additional info
- Copyright ©ERS 2024.
- id
- 9837010b-06c1-473e-a1ab-249d8edb5b19
- date added to LUP
- 2024-10-06 21:07:22
- date last changed
- 2025-07-01 03:10:13
@article{9837010b-06c1-473e-a1ab-249d8edb5b19,
abstract = {{<p>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.</p>}},
author = {{Mahmutovic Persson, Irma and Bozovic, Gracijela and Westergren-Thorsson, Gunilla and Rolandsson Enes, Sara}},
issn = {{1810-6838}},
language = {{eng}},
number = {{3}},
pages = {{1--11}},
publisher = {{European Respiratory Society}},
series = {{Breathe}},
title = {{Spatial lung imaging in clinical and translational settings}},
url = {{http://dx.doi.org/10.1183/20734735.0224-2023}},
doi = {{10.1183/20734735.0224-2023}},
volume = {{20}},
year = {{2024}},
}