The evolving role of radiological imaging in cystic fibrosis

Purpose of review Radiological imaging has a crucial role in pulmonary evaluation in cystic fibrosis (CF), having been shown to be more sensitive than pulmonary function testing at detecting structural lung changes. The present review summarizes the latest published information on established and evolving pulmonary imaging techniques for assessing people with this potentially life-limiting disorder. Recent findings Chest computed tomography (CT) has taken over the predominant role of chest radiography in many centres for the initial assessment and surveillance of CF lung disease. However, several emerging techniques offer a promising means of pulmonary imaging using less ionizing radiation. This is of particular importance given these patients tend to require repeated imaging throughout their lives from a young age. Such techniques include ultra-low-dose CT, tomosynthesis, dynamic radiography and magnetic resonance imaging. In addition, deep-learning algorithms are anticipated to improve diagnostic accuracy. Summary The recent introduction of triple-combination CF transmembrane regulator therapy has put further emphasis on the need for sensitive methods of monitoring treatment response to allow for early adaptation of treatment regimens in order to limit irreversible lung damage. Further research is needed to establish how emerging imaging techniques can contribute to this safely and effectively.

[1]  M. Maher,et al.  Best Practices: Imaging Strategies for Reduced-Dose Chest CT in the Management of Cystic Fibrosis-Related Lung Disease. , 2021, AJR. American journal of roentgenology.

[2]  F. Ratjen,et al.  A multimodal approach to detect and monitor early lung disease in cystic fibrosis , 2021, Expert review of respiratory medicine.

[3]  M. McEntee,et al.  Computed tomography in cystic fibrosis lung disease: a focus on radiation exposure , 2021, Pediatric Radiology.

[4]  M. Båth,et al.  QUANTIFICATION OF PULMONARY PATHOLOGY IN CYSTIC FIBROSIS–COMPARISON BETWEEN DIGITAL CHEST TOMOSYNTHESIS AND COMPUTED TOMOGRAPHY , 2021, Radiation protection dosimetry.

[5]  H. Kauczor,et al.  Synopsis from Expanding Applications of Pulmonary MRI in the Clinical Evaluation of Lung Disorders , 2021, Chest.

[6]  M. Maher,et al.  Ultra-low-dose thoracic CT with model-based iterative reconstruction (MBIR) in cystic fibrosis patients undergoing treatment with cystic fibrosis transmembrane conductance regulators (CFTR). , 2021, Clinical radiology.

[7]  H. Sakuma,et al.  Deep learning image reconstruction for improvement of image quality of abdominal computed tomography: comparison with hybrid iterative reconstruction , 2021, Japanese Journal of Radiology.

[8]  D. Hind,et al.  Is hyperpolarised gas magnetic resonance imaging a valid and reliable tool to detect lung health in cystic fibrosis patients? a cosmin systematic review. , 2021, Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society.

[9]  F. Zanca,et al.  Preserving image texture while reducing radiation dose with a deep learning image reconstruction algorithm in chest CT: A phantom study. , 2021, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[10]  F. Laurent,et al.  The Clinical Use of Lung MRI in Cystic Fibrosis , 2020, Chest.

[11]  E. Andrinopoulou,et al.  Chest computed tomography outcomes in a randomized clinical trial in cystic fibrosis: Lessons learned from the first ataluren phase 3 study , 2020, PloS one.

[12]  K. Choo,et al.  CT iterative vs deep learning reconstruction: comparison of noise and sharpness , 2020, European Radiology.

[13]  H. Kauczor,et al.  Expanding Applications of Pulmonary MRI in the Clinical Evaluation of Lung Disorders: Fleischner Society Position Paper. , 2020, Chest.

[14]  D. Lynch,et al.  Expanding Applications of Pulmonary MRI in the Clinical Evaluation of Lung Disorders: Fleischner Society Position Paper. , 2020, Radiology.

[15]  K. Kasahara,et al.  Comparison of dynamic flat-panel detector-based chest radiography with nuclear medicine ventilation-perfusion imaging for the evaluation of pulmonary function: a clinical validation study. , 2020, Medical physics.

[16]  M. McEntee,et al.  Strategies for dose reduction with specific clinical indications during computed tomography. , 2020, Radiography.

[17]  J. Woods,et al.  Novel imaging techniques for cystic fibrosis lung disease , 2020, Pediatric pulmonology.

[18]  H. Köstler,et al.  Three-dimensional Ultrashort Echotime Magnetic Resonance Imaging for Combined Morphologic and Ventilation Imaging in Pediatric Patients With Pulmonary Disease , 2020, Journal of thoracic imaging.

[19]  F. Laurent,et al.  Volumetric quantification of lung MR signal intensities using ultrashort TE as an automated score in cystic fibrosis , 2020, European Radiology.

[20]  Constantine A Raptis,et al.  ACR Appropriateness Criteria® Hemoptysis. , 2020, Journal of the American College of Radiology : JACR.

[21]  R. Madan,et al.  Cystic Fibrosis from Childhood to Adulthood: What Is New in Imaging Assessment? , 2020, Radiologic clinics of North America.

[22]  P. Caballero,et al.  Predictive value of computed tomography scoring systems evolution in adults with cystic fibrosis , 2020, European Radiology.

[23]  R. Bedi,et al.  Utility and validity of dynamic chest radiography in cystic fibrosis (dynamic CF): an observational, non-controlled, non-randomised, single-centre, prospective study , 2020, BMJ Open Respiratory Research.

[24]  T. Hei,et al.  Aging and age-related health effects of ionizing radiation , 2020 .

[25]  J. Beregi,et al.  Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study , 2020, European Radiology.

[26]  Robert Grimm,et al.  1H‐guided reconstruction of 19F gas MRI in COPD patients , 2020, Magnetic resonance in medicine.

[27]  C. Hansen,et al.  The impact of chest computed tomography and chest radiography on clinical management of cystic fibrosis lung disease. , 2020, Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society.

[28]  S. Nagle,et al.  Guidance for computed tomography (CT) imaging of the lungs for patients with cystic fibrosis (CF) in research studies. , 2020, Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society.

[29]  Yueh Z. Lee,et al.  Dynamic perfluorinated gas MRI reveals abnormal ventilation despite normal FEV1 in cystic fibrosis. , 2019, JCI insight.

[30]  H. Kauczor,et al.  Current state of the art MRI for the longitudinal assessment of cystic fibrosis , 2019, Journal of magnetic resonance imaging : JMRI.

[31]  I. Tsiflikas,et al.  New severity assessment in cystic fibrosis: signal intensity and lung volume compared to LCI and FEV1: preliminary results , 2019, European Radiology.

[32]  G. Santyr,et al.  A two-center analysis of hyperpolarized 129Xe lung MRI in stable pediatric cystic fibrosis: Potential as a biomarker for multi-site trials. , 2019, Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society.

[33]  F. Laurent,et al.  Automated Volumetric Quantification of Emphysema Severity by Using Ultrashort Echo Time MRI: Validation in Participants with Chronic Obstructive Pulmonary Disease. , 2019, Radiology.

[34]  A. Blamire,et al.  Optimized and accelerated 19F‐MRI of inhaled perfluoropropane to assess regional pulmonary ventilation , 2019, Magnetic resonance in medicine.

[35]  J. Wild,et al.  Optimization of steady‐state free precession MRI for lung ventilation imaging with 19F C3F8 at 1.5T and 3T , 2018, Magnetic resonance in medicine.

[36]  F. Laurent,et al.  Quantification of MRI T2-weighted High Signal Volume in Cystic Fibrosis: A Pilot Study. , 2019, Radiology.

[37]  J. Seekins,et al.  Deep learning to automate Brasfield chest radiographic scoring for cystic fibrosis. , 2019, Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society.

[38]  T. Svahn,et al.  Dose estimation of ultra-low-dose chest CT to different sized adult patients , 2018, European Radiology.

[39]  Dora K Franceschi,et al.  Initial clinical evaluation of stationary digital chest tomosynthesis in adult patients with cystic fibrosis , 2018, European Radiology.

[40]  Marleen de Bruijne,et al.  Diagnosis of bronchiectasis and airway wall thickening in children with cystic fibrosis: Objective airway-artery quantification , 2017, European Radiology.

[41]  Marleen de Bruijne,et al.  PRAGMA-CF. A Quantitative Structural Lung Disease Computed Tomography Outcome in Young Children with Cystic Fibrosis. , 2015, American journal of respiratory and critical care medicine.

[42]  Darel E. Heitkamp,et al.  ACR appropriateness criteria® hemoptysis. , 2010, Journal of thoracic imaging.