[HTML][HTML] Novel tracers for molecular imaging of interstitial lung disease: A state of the art review

B Broens, JW Duitman, GJC Zwezerijnen… - Autoimmunity …, 2022 - Elsevier
Interstitial lung disease is an overarching term for a wide range of disorders characterized by
inflammation and/or fibrosis in the lungs. Most prevalent forms, among others, include …

The interplay of collagen, macrophages, and microcalcification in atherosclerotic plaque cap rupture mechanics

I Jansen, R Cahalane, R Hengst, A Akyildiz… - Basic Research in …, 2024 - Springer
The rupture of an atherosclerotic plaque cap overlying a lipid pool and/or necrotic core can
lead to thrombotic cardiovascular events. In essence, the rupture of the plaque cap is a …

Usefulness of 18F-FPP-RGD2 PET in pathophysiological evaluation of lung fibrosis using a bleomycin-induced rat model

S Hiroyama, K Matsunaga, M Ito, H Iimori… - European Journal of …, 2022 - Springer
Purpose Integrins αv are key molecules in the pathogenesis of fibrosis in multiple organs. To
assess the potential utility of integrin αvβ3 imaging for idiopathic pulmonary fibrosis (IPF), we …

Utilizing MRI, [18F]FDG-PET and [89Zr]Zr-DFO-28H1 FAP-PET tracer to assess inflammation and fibrogenesis in a reproducible lung injury rat model: a multimodal …

M Boswinkel, R Raavé, A Veltien… - Frontiers in Nuclear …, 2023 - frontiersin.org
Objective Accurate imaging biomarkers that indicate disease progression at an early stage
are highly important to enable timely mitigation of symptoms in progressive lung disease. In …

In vivo MRI and PET imaging in a translational ILD mouse model expressing non-resolving fibrosis and bronchiectasis-like pathology after repeated systemic …

I Mahmutovic Persson, N Fransén Petterson… - Frontiers in …, 2024 - frontiersin.org
Drug-induced interstitial lung disease (ILD) is crucial to detect early to achieve the best
treatment outcome. Optimally, non-invasive imaging biomarkers can be used for early …

Deep learning convolutional neural network in diagnosis of serous effusion in patients with malignant tumor by tomography

J Zhang, Z Zhang, X Ji, W Ren, Y Cheng… - The Journal of …, 2022 - Springer
To explore the diagnostic value of deep learning convolutional neural network (CNN)-based
computed tomography (CT) scan in tumor disease images, clinical factors related to serous …

Imaging biomarkers in animal models of drug-induced lung injury: a systematic review

I Mahmutovic Persson, K von Wachenfeldt… - Journal of clinical …, 2020 - mdpi.com
For drug-induced interstitial lung disease (DIILD) translational imaging biomarkers are
needed to improve detection and management of lung injury and drug-toxicity. Literature …

Cyclic chain displacement amplification-based dual-miRNA detection: a triple-line lateral flow strip for the diagnosis of lung cancer

P Zhou, F Lu, W Pan, J Yin, N Li, B Tang - Chemical Communications, 2021 - pubs.rsc.org
Herein, we developed a triple-line lateral flow strip-based platform combined with an miRNA-
initiated cyclic chain displacement reaction for the rapid and simultaneous dual-miRNA …

Radiolabeled GPVI-Fc for PET imaging of multiple extracellular matrix fibers: a new look into pulmonary fibrosis progression

S Isser, A Maurer, G Reischl, M Schaller… - Journal of Nuclear …, 2023 - Soc Nuclear Med
Invariably fatal and with a particularly fast progression, pulmonary fibrosis (PF) is currently
devoid of curative treatment options. Routine clinical diagnosis relies on breathing tests and …

Advances in multimodal imaging of lung injury

Q Zhou, Z Zhang, Y Xia, J Li, S Liu, L Fan - Chinese Journal of Academic …, 2024 - Springer
Lung injury is caused by various physical and chemical damages that lead to the destruction
of the structural integrity or dysfunction of the lungs, resulting in a series of symptoms or …