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Experimental and quantitative imaging techniques in interstitial lung disease
  1. Nicholas D Weatherley1,
  2. James A Eaden1,
  3. Neil J Stewart1,
  4. Brian J Bartholmai2,
  5. Andrew J Swift1,
  6. Stephen Mark Bianchi3,
  7. Jim M Wild1
  1. 1 Academic Unit of Academic Radiology, University of Sheffield, Sheffield, UK
  2. 2 Department of Radiology, Mayo Clinic Minnesota, Rochester, Minnesota, USA
  3. 3 Department of Respiratory Medicine, Sheffield Teaching Hospitals Foundation Trust, Sheffield, UK
  1. Correspondence to Professor Jim M Wild, Academic Radiology, University of Sheffield, Sheffield S10 2TN, UK; j.m.wild{at}sheffield.ac.uk

Abstract

Interstitial lung diseases (ILDs) are a heterogeneous group of conditions, with a wide and complex variety of imaging features. Difficulty in monitoring, treating and exploring novel therapies for these conditions is in part due to the lack of robust, readily available biomarkers. Radiological studies are vital in the assessment and follow-up of ILD, but currently CT analysis in clinical practice is qualitative and therefore somewhat subjective. In this article, we report on the role of novel and quantitative imaging techniques across a range of imaging modalities in ILD and consider how they may be applied in the assessment and understanding of ILD. We critically appraised evidence found from searches of Ovid online, PubMed and the TRIP database for novel and quantitative imaging studies in ILD. Recent studies have explored the capability of texture-based lung parenchymal analysis in accurately quantifying several ILD features. Newer techniques are helping to overcome the challenges inherent to such approaches, in particular distinguishing peripheral reticulation of lung parenchyma from pleura and accurately identifying the complex density patterns that accompany honeycombing. Robust and validated texture-based analysis may remove the subjectivity that is inherent to qualitative reporting and allow greater objective measurements of change over time. In addition to lung parenchymal feature quantification, pulmonary vessel volume analysis on CT has demonstrated prognostic value in two retrospective analyses and may be a sign of vascular changes in ILD which, to date, have been difficult to quantify in the absence of overt pulmonary hypertension. Novel applications of existing imaging techniques, such as hyperpolarised gas MRI and positron emission tomography (PET), show promise in combining structural and functional information. Although structural imaging of lung tissue is inherently challenging in terms of conventional proton MRI techniques, inroads are being made with ultrashort echo time, and dynamic contrast-enhanced MRI may be used for lung perfusion assessment. In addition, inhaled hyperpolarised 129Xenon gas MRI may provide multifunctional imaging metrics, including assessment of ventilation, intra-acinar gas diffusion and alveolar-capillary diffusion. PET has demonstrated high standard uptake values (SUVs) of 18F-fluorodeoxyglucose in fibrosed lung tissue, challenging the assumption that these are ‘burned out’ and metabolically inactive regions. Regions that appear structurally normal also appear to have higher SUV, warranting further exploration with future longitudinal studies to assess if this precedes future regions of macroscopic structural change. Given the subtleties involved in diagnosing, assessing and predicting future deterioration in many forms of ILD, multimodal quantitative lung structure-function imaging may provide the means of identifying novel, sensitive and clinically applicable imaging markers of disease. Such imaging metrics may provide mechanistic and phenotypic information that can help direct appropriate personalised therapy, can be used to predict outcomes and could potentially be more sensitive and specific than global pulmonary function testing. Quantitative assessment may objectively assess subtle change in character or extent of disease that can assist in efficacy of antifibrotic therapy or detecting early changes of potentially pneumotoxic drugs involved in early intervention studies.

  • interstitial fibrosis
  • imaging/ct mri etc
  • drug induced lung disease
  • idiopathic pulmonary fibrosis

This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

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Footnotes

  • Contributors NDW and JAE conducted the literature searches and NDW wrote the first draft of the manuscript. JMW arbitrated any disagreements, supervised the study and edited the manuscript. NJS, BJB, AJS and SMB contributed to identifying key articles, contextualising the findings and editing the manuscript.

  • Funding The authors are part-funded by the Medical Research Council (MR/M008894/1) and the National Institute of Health Research (NIHR-RP-R3-12-027). This work is also supported by the TRISTAN consortium work package 3, which is focused on exploring novel techniques to develop biomarkers for interstitial lung disease (ILD), with a particular focus on better defining and quantifying changes that occur in drug-induced ILD. Such biomarkers may enhance our ability to identify toxicity in early intervention studies or play a role in sensitive screening of patients on established medications. The research receives funding from the Innovative Medicines Initiatives 2 Joint Undertaking under grant agreement No 116106. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and European Federation of Pharmaceutical Industries and Associations (EFPIA).

  • Disclaimer The views expressed in this publication are those of the authors and not necessarily those of the National Health Service, the National Institute for Health Research or the Department of Health.

  • Competing interests None declared.

  • Patient consent Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Collaborators on behalf of the TRISTAN Consortia.