IBs and pathology in bleomycin rat model of DIILD

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Imaging Biomarkers and Pathobiological Profiling in a Rat Model of Drug-Induced Interstitial Lung Disease Induced by Bleomycin

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IBs and pathology in bleomycin rat model of DIILD

Imaging Biomarkers and Pathobiological Profiling in a Rat Model of Drug-Induced Interstitial Lung Disease Induced by Bleomycin

by Irma Mahmutovic Persson, Hanna Falk Håkansson, Anders Örbom, Jian Liu, Karin von Wachenfeldt, Lars E. Olsson on behalf of the TRISTAN Consortium


Frontiers in Physiology. 11, 584 (19 June). doi: 10.3389/fphys.2020.00584

Abstract

A large number of systemically administered drugs have the potential to cause drug-induced interstitial lung disease (DIILD). We aim to characterize a model of DIILD in the rat and develop imaging biomarkers (IBs) for detection and quantification of DIILD. In this study, Sprague–Dawley rats received one single dose of intratracheal (i.t.) bleomycin and were longitudinally imaged at day 0, 3, 7, 14, 21, and 28 post dosing, applying the imaging techniques magnetic resonance imaging (MRI) and positron emission tomography (PET)/computed tomography (CT). Bronchoalveolar lavage fluid (BALF) was analyzed for total protein and inflammatory cells. Lungs were saved for further evaluation by gene analysis using quantitative-PCR and by histology. Lung sections were stained with Masson’s-Trichrome staining and evaluated by modified Ashcroft score. Gene expression profiling of inflammatory and fibrotic markers was performed on lung tissue homogenates. Bleomycin induced significant increase in total protein concentration and total cell count in bronchoalveolar lavage (BAL), peaking at day 3 (p > 0.001) and day 7 (p > 0.001) compared to control, respectively. Lesions measured by MRI and PET signal in the lungs of bleomycin challenged rats were significantly increased during days 3–14, peaking at day 7. Two subgroups of animals were identified as low- and high-responders by their different change in total lung volume. Both groups showed signs of inflammation initially, while at later time points, the low-responder group recovered toward control, and the high-responder group showed sustained lung volume increase, and significant increase of lesion volume (p < 0.001) compared to control. Lastly, important inflammatory and pro-fibrotic markers were assessed from lung tissue, linking observed imaging pathological changes to gene expression patterns. In conclusion, bleomycin-induced lung injury is an adequate animal model for DIILD studies and for translational lung injury assessment by MRI and PET imaging. The scenario comprised disease responses, with different fractions of inflammation and fibrosis. Thereby, this study improved the understanding of imaging and biological biomarkers in DIILD and lung injury.

IBs and pathology in bleomycin rat model of DIILD
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Learnings for Imaging Biomarkers in ILD

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Imaging biomarkers in ILD - what we learnt from the TRISTAN study (Conference Abstract)

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Learnings  for Imaging Biomarkers in ILD

Imaging biomarkers in ILD - what we learnt from the TRISTAN study - PRO 03-04

by Paul J.C. Hughes, James A. Eaden, Marta Tibiletti, Nazia Chaudhuri, Sarah Skeoch, Ian N. Bruce, John C. Waterton, Stephen Bianchi, Geoff J. Parker, Jim M. Wild on behalf of the TRISTAN Consortium


EMIM 2024

Abstract

Interstitial lung disease (ILD) encompasses a diverse spectrum of pulmonary pathologies, characterized by a combination of clinical, radiographic, and physiological or pathological features. In ILDs, inflammatory and/or fibrotic alterations affect not only the interstitial space but also extend to involve the alveolar structures, alveolar ducts, and bronchioles1.
The TRISTAN study enrolled patients diagnosed with various ILDs including idiopathic pulmonary fibrosis (IPF), connective tissue disease-related ILD (CTD-ILD), hypersensitivity pneumonitis (HP), idiopathic nonspecific interstitial pneumonia (iNSIP), and drug-induced ILD (DI-ILD) and conducted etrospective research into patients with DI-ILD and Hodgkin’s lymphoma. This comprehensive selection of ILDs was made due to the ongoing diagnostic challenges associated with these conditions, necessitating multidisciplinary evaluations incorporating clinical history, pulmonary function tests, immune profiling, computed tomography (CT), and, where feasible, histological examination of lung tissue.
While computed tomography (CT) offers superior resolution compared to alternative imaging modalities such as nuclear medicine or magnetic resonance imaging (MRI), it remains challenging to differentiate between subtypes of ILD in approximately 50% of patients2, and extracting functional data from standard CT imaging poses difficulties. Pulmonary function tests (PFTs), notably assessing forced vital capacity (FVC) and diffusing capacity of the lung for carbon monoxide (DLCO), provide global measures of lung function but fail to offer detailed functional information3, highlighting the necessity for enhanced imaging biomarkers.
The TRISTAN study employed various imaging biomarkers derived from CALIPER4 analysis of CT images in conjunction with hyperpolarized xenon-129 (129Xe) and oxygen-enhanced MRI parameters for lung function evaluation, as well as dynamic contrast-enhanced (DCE) proton MRI metrics for lung perfusion assessment. This study aimed to investigate the correlations between these novel imaging biomarkers and PFT results, aiming to ascertain whether superior diagnostic and prognostic capabilities could be achieved compared to current ILD assessment methods. Building upon insights gained from the primary study, a new MR imaging protocol was developed to evaluate patients undergoing bleomycin treatment.
In my presentation, I will delve into the clinical aspects of the TRISTAN project, detailing the imaging methodologies employed and presenting preliminary results from the initial analysis of the data collected and analysed by the clinical members of the consortium.

Learnings for Imaging Biomarkers in ILD
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Imaging Biomarkers of Lung Injury and DIILD

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Imaging Biomarkers of Lung Injury and drug-induced ILD: translational approach in experimental research for better disease understanding (Conference Abstract)

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Imaging Biomarkers of Lung Injury and DIILD

Imaging Biomarkers of Lung Injury and drug-induced ILD: translational approach in experimental research for better disease understanding - PRO 03-03

by Irma Mahmutovic Persson  on behalf of the TRISTAN Consortium


EMIM 2024

Abstract

To address the increasing issue of drug-induced toxicity, both clinical and experimental studies (within the EU-IHI funded project TRISTAN) are aiming to find translational Imaging Biomarkers that can identify incidence as well as reveal progression of lung injury at an early stage. Together within TRISTAN we are aiming to improve drug safety by development of novel imaging biomarkers. Various imaging techniques such as MRI, PET and CT are used for lesion assessment in lungs of patients and animal models of ILD.
The animal models developed to mimic the clinical aspects of disease have their limitations and opportunities – and the same goes for imaging biomarker development. Many previously promised applications known from oncology and brain-imaging are yet difficult to directly transfer to lung imaging. Many aspects of organ movement, influence of anaesthesia compounds and duration of scan acquisition, needs to be further optimised and automated for better and faster output of accurate data (1). Longitudinal imaging sessions and more non-invasive imaging approach is warranted in order to find the best diagnostic imaging biomarkers. In particular interest are those biomarkers that can characterize and differentiate inflammation from fibrosis within the lung.
In our experimental setting, we have employed the bleomycin-induced injury models in rats and mice and applying different MRI sequences combined with PET-CT imaging co-registration (2). By varying between different Ultra Short Echo (UTE) sequences, lesions of different characteristics can easily be visualized. With the PET-tracer [F18]FDG, typically used in inflammation-imaging, we could see increased signal uptake, significantly higher in bleomycin-challenged lungs compared to healthy controls during the early time points post-injury. However, also a late-phase [F18]FDG-uptake has been observed which is suggested to occur due to active fibrotic processes, similar to tumour metabolism known as the Warburg effect. Since the fibrogenesis might start early while the inflammatory phase is present in this type of model, we aimed to track fibrogenesis with two other, more specific, PET-tracer.
We have performed targeting of collagen type I and fibroblast activation (FAP), at various time points in the lung tissue, using the same bleomycin model in rats (2-4). Both studies were performed according to the same workflow of multi-modality approach with combined MRI/PET/CT longitudinal imaging post-instillation of bleomycin in rats. The Collagen-I tracer named CBP was conjugated to the radionuclide Cu64 while the FAP-tracer included the radionuclei Zr89. The collagen tracer uptake, targeting newly synthesised Collagen-I, was significantly increased in bleomycin-challenged lungs compared to controls, both at early and late time points. The majority of the CBP lung uptake was found at the borderline of MRI- and CT-defined lesions. This was further confirmed by autoradiography, thus on a microscopic level. The other fibrogenesis PET-tracer is targeting the fibroblast activation protein. This study in particular aimed to test the reproducibility of the bleomycin model, being confirmed by histology and cell data but also in parallel followed by [F18]FDG-imaging across the research sites Lund University and Radboud University in Nijmegen (Figure 1). Furthermore, the novel PET tracer tracking early signs of fibrosis onset was investigated, showing promising ability to detect fibroblast activation already 2 weeks after injury, while inflammation still might be present (4).
The intratracheal model has its limitations for certain ILD groups seen in the clinical settings, such as the incidence scenario observed in patients developing drug-induced ILD over time upon bleomycin treatment (5). Therefore, we are also developing animal models where systemic and chronic exposure of bleomycin is performed while also looking into other drug-induced pathologies occurring from other medication classes known to induce ILD in patient cohorts (6: see Figure 2).

Conclusion: As technology is advancing and imaging becomes more available, we have to keep pushing the animal models and imaging biomarkers forward, for better and more relevant readouts. Investing the effort in development of more translational models will bring more knowledge and will become more suitable for studies on intervention and therapeutic titrations.

Imaging Biomarkers of Lung Injury and DIILD
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Imaging of Harm

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Imaging of harm: why we need translational imaging biomarkers in drug safety safety assessment (Conference Abstract)

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Imaging of Harm

Imaging of harm: why we need translational imaging biomarkers in drug safety safety assessment - PRO 03-01

by John W. Waterton on behalf of the TRISTAN Consortium


EMIM 2024

Abstract

Imaging metrics ("biomarkers"[1]) have a prominent role in predicting and detecting treatment benefit, for example as pharmacodynamic biomarkers or as companion diagnostics. However, all treatments involve risk of harm as well as possible benefit, so imaging biomarkers of harm or risk of harm (so-called "safety" biomarkers) are of equal or greater value than imaging biomarkers of treatment efficacy.
Imaging biomarkers of safety can be used in several ways. In toxicology studies in animals they can identify toxicity, determine therapeutic margin, or evaluate reversibility. In human trials, they can be used to halt dose escalation before overt toxicity, to characterise rare adverse events, or to evaluate reversibility. More generally, imaging biomarkers of safety can be used to monitor patients at risk of harm, so that treatment can be adjusted, or to deny particular treatments to patient at risk of harm from that treatment.
The development, validation and deployment of such biomarkers poses unique challenges. While efficacy biomarkers can easily be investigated in patients who elect to receive beneficial therapies, it is often ethically difficult or impossible to deliberately expose human subjects to harmful therapies. Moreover, to prepare for the case of rare and sporadic adverse events, the biomarker needs to be reproducibly available in any hospital in the world where the biomarker might be needed.
Imaging biomarkers of safety are particularly prominent in oncology, in Alzheimer's research, in neurology and rheumatology[2]. This work[3] aims to discover and develop imaging safety biomarkers addressing: harmful changes in liver transporter fluxes, maldistribution (with potentially harmful consequences) of biologic therapies, and drug-induced interstitial lung disease.

Imaging of Harm
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Lung perfusion imaging

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Lung perfusion imaging: influence of signal-to-concentration transformation method and comparison with 129Xe biomarkers (Conference Abstract)

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Lung perfusion imaging

Lung perfusion imaging: influence of signal-to-concentration transformation method and comparison with 129Xe biomarkers

by Marta Tibiletti, Paul JC Hughes, James A Eaden, Josephine H Naish, Helen A Marshall, John C Waterton, Stephen A Bianchi, Jim M Wild, and Geoff JM Parker on behalf of the TRISTAN Consortium


ISMRM 2023

 

Abstract #1209
 

Quantitative pulmonary perfusion can be derived from MR imaging with injection of contrast agent (CA). Tracer-kinetic theory yields physiological parameters such as pulmonary blood flow (PBF), blood volume (PBV) and mean transit time (MTT) but relies on accurate calculation of CA concentration. Previous studies have used ‘subtraction’ or ‘normalisation’ methods without T1-mapping. Using both simulations and data from interstitial lung disease patients, we demonstrate how the ‘subtraction’ method weights PBV by local lung density. This causes likely spurious correlations with hyperpolarised 129Xe biomarkers linked to lung ventilation, microstructure and density, potentially obscuring information of diagnostic interest.

 

Lung perfusion imaging
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Repeatability of hyperpolarized 129-Xe and oxygen-enhanced MRI

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Repeatability and correlation of hyperpolarized xenon-129 and oxygen-enhanced MRI parameters in healthy volunteers (Conference Abstract)
 

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Repeatability of hyperpolarized 129-Xe and oxygen-enhanced MRI

Repeatability and correlation of hyperpolarized xenon-129 and oxygen-enhanced MRI parameters in healthy volunteers

by Paul J.C. Hughes, Marta Tibiletti, Matthew J. Heaton, Ho-Fung Chan, Guilhem J. Collier, Matthew Austin, Laurie J. Smith, Jim Lithgow, Josephine H. Naish, Jim M. Wild, and Geoff J.M. Parker on behalf of the TRISTAN Consortium


ISMRM 2020

 

Abstract #2305

Hyperpolarised xenon-129 MRI has shown utility in longitudinal assessment of lung structure and function, and has been shown to be a repeatable method. Oxygen enhanced MRI is a cheaper method of imaging different aspects of lung function. This work aimed to assess a single-centre repeatability of multiple metrics from both imaging methods in volunteers, and assess any correlations between xenon-129 and oxygen enhanced metrics of lung function.

 

Repeatability of hyperpolarized 129-Xe and oxygen-enhanced MRI
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Translational ILD models

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Development of translational ILD models: How drug-induced side effects trigger alterations in the lung tissue upon systemical long-term exposure? (Conference Abstract)

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Translational ILD models

Development of translational ILD models: How drug-induced side effects trigger alterations in the lung tissue upon systemical long-term exposure?

by I Mahmutovic Persson, H Falk Håkansson, J Persson, P Önnervik, L E. Olsson, K Von Wachenfeldt  on behalf of the TRISTAN Consortium


ERJ Open Research 2020; 6(suppl 5): 66. doi: 10.1183/23120541.LSC-2020.66

Abstract

Drug-induced interstitial lung disease (DIILD) is highly underdiagnosed and very few preclinical models exist to study these event. To address the increasing issue of drug-induced toxicity, we aimed to develop two translational models in rats using two different drugs; Bleomycin (BL) or Nitrofurantoin (NF). Here long-term systemic exposure to medication was applied to mimic clinical features.

Methods:
Sprague-Dawley rats received BL or NF challenge subcutaneously, 3 days/week during 1-4 weeks. MRI was performed at week 5. At termination (week 1, 2, 3, 4 and 5), BAL was collected and analysed for total protein and inflammatory cells. Lungs were further analysed by histology.

Results:
The two models showed diverse pathological alteration in the lungs (Figure). BL rats presented weight loss and significant increase (p<0.001) in BALF neutrophils. Low progression of fibrosis and hypertrophy of endothelium was seen in the BL group over time. NF group showed signs of lipid pneumonia and fibrotic loci formation early on, which stayed throughout the 4-5 weeks’ observation. NF rats gained weight and had elevated macrophage count in their BALF, vs control. Lesions were observed by MRI.

Conclusion:
Here we present two DIILD models in rat, with distinct pathological changes over time showing two examples of alterations in the lung upon medication. These models serve as platforms for further biomarker development in DIILD.

Translational ILD models
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MRI and PET in a translational ILD mouse model

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

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MRI and PET in a translational ILD mouse model

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

by Mahmutovic Persson, Irma, Nina Fransén Petterson, Jian Liu, René In ‘T Zandt, Carla Carvalho, Anders Örbom, Lars E. Olsson, und Karin Von Wachenfeldt on behalf of the TRISTAN Consortium


Frontiers in Medicine 11 (9. April 2024): 1276420. doi: 10.3389/fmed.2024.1276420

Abstract

Methods: 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 detection of disease progression and treatment follow-up. Therefore, reliable in vivo models are warranted in new imaging biomarker development to accelerate better-targeted treatment options. Single-dose bleomycin models have, for a long time, served as a reference model in fibrosis and lung injury research. Here, we aimed to use a clinically more relevant animal model by systemic exposure to bleomycin and assessing disease progression over time by combined magnetic resonance imaging (MRI) and positron emission tomography (PET) imaging.

C57BL/6 mice received bleomycin (i.p. 35iU/kg) or saline as control twice per week for 4 weeks. Mice were monitored until 2 weeks after cessation of bleomycin administration (w4 + 1 and w4 + 2), referred to as the resting period. MRI scans were performed in weeks 3 and 4 and during the resting weeks. [18F]FDG-PET was performed at the last week of dosing (w4) and 2 weeks after the last dosing (w4 + 2). Lung tissue sections were stained with Masson’s trichrome and evaluated by modified Ashcroft scoring. Lung volume and lesion volumes were assessed using MRI, as well as 3D mapping of the central airways.

Results and discussion: Bleomycin-challenged mice showed increased lung weights (p < 0.05), while total lung volume was unchanged (w4 and onward). Histology analysis demonstrated fibrotic lesions emanating from the distal parts of the lung. Fibrosis progression was visualized by MRI with significantly increased high signal in bleomycin-exposed lungs compared to controls (p < 0.05). In addition, a significant increase in central airway diameter (p < 0.01) was displayed in bleomycin-exposed animals compared to controls and further continued to dilate as the disease progressed, comparing the bleomycin groups over time (p < 0.05–0.001). Lung [18F]FDG uptake was significantly elevated in bleomycin-exposed mice compared to controls (p < 0.05).

Conclusion: Non-invasive imaging displayed progressing lesions in the lungs of bleomycin-exposed mice, using two distinct MRI sequences and [18F]FDG-PET. With observed fibrosis progression emanating from distal lung areas, dilation of the central airways was evident. Taken together, this chronic bleomycin-exposure model is translationally more relevant for studying lung injury in ILD and particularly in the context of DIILD.

MRI and PET in a translational ILD mouse model
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MRI and PET to assess inflammation and fibrogenesis in rats

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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 imaging study

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MRI and PET to assess inflammation and fibrogenesis in rats

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 imaging study

by Boswinkel, Milou, René Raavé, Andor Veltien, Tom Wj Scheenen, Nina Fransén Petterson, René In ‘T Zandt, Lars E. Olsson, Karin Von Wachenfeldt, Sandra Heskamp, und Irma Mahmutovic Persson on behalf of the TRISTAN Consortium


Frontiers in Nuclear Medicine 3 (12. Dezember 2023): 1306251. doi: 10.3389/fnume.2023.1306251

Abstract

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 this context, reproducible experimental models and readouts are key. Here, we aim to show reproducibility of a lung injury rat model by inducing disease and assessing disease progression by multi-modal non-invasive imaging techniques at two different research sites. Furthermore, we evaluated the potential of fibroblast activating protein (FAP) as an imaging biomarker in the early stage of lung fibrosis.

Methods: An initial lung injury rat model was set up at one research site (Lund University, Lund, Sweden) and repeated at a second site (Radboudumc, Nijmegen, The Netherlands). To induce lung injury, Sprague-Dawley rats received intratracheal instillation of bleomycin as one single dose (1,000 iU in 200 µL) or saline as control. Thereafter, longitudinal images were acquired to track inflammation in the lungs, at 1 and 2 weeks after the bleomycin challenge by magnetic resonance imaging (MRI) and [18F]FDG-PET. After the final [18F]FDG-PET scan, rats received an intravenous tracer [89Zr]Zr-DFO-28H1 (anti-FAP antibody) and were imaged at day 15 to track fibrogenesis. Upon termination, bronchoalveolar lavage (BAL) was performed to assess cell and protein concentration. Subsequently, the biodistribution of [89Zr]Zr-DFO-28H1 was measured ex vivo and the spatial distribution in lung tissue was studied by autoradiography. Lung sections were stained and fibrosis assessed using the modified Ashcroft score.

Results: Bleomycin-challenged rats showed body weight loss and increased numbers of immune cells and protein concentrations after BAL compared with control animals. The initiation and progression of the disease were reproduced at both research sites. Lung lesions in bleomycin-exposed rats were visualized by MRI and confirmed by histology. [18F]FDG uptake was higher in the lungs of bleomycin-challenged rats compared with the controls, similar to that observed in the Lund study. [89Zr]Zr-DFO-28H1 tracer uptake in the lung was increased in bleomycin-challenged rats compared with control rats (p = 0.03).

Conclusion: Here, we demonstrate a reproducible lung injury model and monitored disease progression using conventional imaging biomarkers MRI and [18F]FDG-PET. Furthermore, we showed the first proof-of-concept of FAP imaging. This reproducible and robust animal model and imaging experimental set-up allows for future research on new therapeutics or biomarkers in lung disease.

MRI and PET to assess inflammation and fibrogenesis in rats
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Lung Perfusion Imaging with Contrast Media

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Imaging Human Lung Perfusion with Contrast Media: A Meta-Analysis

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Lung Perfusion Imaging with Contrast Media

Imaging Human Lung Perfusion with Contrast Media: A Meta-Analysis

by Edwards, Lucy, John C Waterton, Josephine Naish, Christopher Short, Thomas Semple, Geoff Jm Parker, und Marta Tibiletti on behalf of the TRISTAN Consortium


European Journal of Radiology 164 (Juli 2023): 110850. doi: 10.1016/j.ejrad.2023.110850

Abstract

Purpose
To pool and summarise published data of pulmonary blood flow (PBF), pulmonary blood volume (PBV) and mean transit time (MTT) of the human lung, obtained with perfusion MRI or CT to provide reliable reference values of healthy lung tissue. In addition, the available data regarding diseased lung was investigated.
Methods
PubMed was systematically searched to identify studies that quantified PBF/PBV/MTT in the human lung by injection of contrast agent, imaged by MRI or CT. Only data analysed by ‘indicator dilution theory’ were considered numerically. Weighted mean (wM), weighted standard deviation (wSD) and weighted coefficient of variance (wCoV) were obtained for healthy volunteers (HV), weighted according to the size of the datasets. Signal to concentration conversion method, breath holding method and presence of ‘pre-bolus’ were noted.
Results
PBV was obtained from 313 measurements from 14 publications (wM: 13.97 ml/100 ml, wSD: 4.21 ml/100 ml, wCoV 0.30). MTT was obtained from 188 measurements from 10 publications (wM: 5.91 s, wSD: 1.84 s wCoV 0.31). PBF was obtained from 349 measurements from 14 publications (wM: 246.26 ml/100 ml ml/min, wSD: 93.13 ml/100 ml ml/min, wCoV 0.38). PBV and PBF were higher when the signal was normalised than when it was not. No significant differences were found for PBV and PBF between breathing states or between pre-bolus and no pre-bolus. Data for diseased lung were insufficient for meta-analysis.
Conclusion
Reference values for PBF, MTT and PBV were obtained in HV. The literature data are insufficient to draw strong conclusions regarding disease reference values.

Lung Perfusion Imaging with Contrast Media
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