1
|
Parillo M, Mallio CA, Dekkers IA, Rovira À, van der Molen AJ, Quattrocchi CC. Late/delayed gadolinium enhancement in MRI after intravenous administration of extracellular gadolinium-based contrast agents: is it worth waiting? MAGMA (NEW YORK, N.Y.) 2024; 37:151-168. [PMID: 38386150 DOI: 10.1007/s10334-024-01151-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/17/2024] [Accepted: 01/30/2024] [Indexed: 02/23/2024]
Abstract
The acquisition of images minutes or even hours after intravenous extracellular gadolinium-based contrast agents (GBCA) administration ("Late/Delayed Gadolinium Enhancement" imaging; in this review, further termed LGE) has gained significant prominence in recent years in magnetic resonance imaging. The major limitation of LGE is the long examination time; thus, it becomes necessary to understand when it is worth waiting time after the intravenous injection of GBCA and which additional information comes from LGE. LGE can potentially be applied to various anatomical sites, such as heart, arterial vessels, lung, brain, abdomen, breast, and the musculoskeletal system, with different pathophysiological mechanisms. One of the most popular clinical applications of LGE regards the assessment of myocardial tissue thanks to its ability to highlight areas of acute myocardial damage and fibrotic tissues. Other frequently applied clinical contexts involve the study of the urinary tract with magnetic resonance urography and identifying pathological abdominal processes characterized by high fibrous stroma, such as biliary tract tumors, autoimmune pancreatitis, or intestinal fibrosis in Crohn's disease. One of the current areas of heightened research interest revolves around the possibility of non-invasively studying the dynamics of neurofluids in the brain (the glymphatic system), the disruption of which could underlie many neurological disorders.
Collapse
Affiliation(s)
- Marco Parillo
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Rome, Italy
- Operative Research Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico Di Roma, Via Alvaro del Portillo, 200, 00128, Rome, Italy
| | - Carlo Augusto Mallio
- Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128, Rome, Italy.
- Operative Research Unit of Diagnostic Imaging and Interventional Radiology, Department of Medicine and Surgery, Università Campus Bio-Medico Di Roma, Via Alvaro del Portillo, 200, 00128, Rome, Italy.
| | - Ilona A Dekkers
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Àlex Rovira
- Section of Neuroradiology, Department of Radiology, Autonomous University of Barcelona and Hospital Vall d'Hebron, Passeig Vall d'Hebron, Barcelona, Spain
| | - Aart J van der Molen
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | | |
Collapse
|
2
|
Ruano CA, Moraes-Fontes MF, Borba A, Grafino M, Veiga J, Fernandes O, Bilhim T, Irion KL. Lung Magnetic Resonance Imaging for Prediction of Progression in Patients With Nonidiopathic Pulmonary Fibrosis Interstitial Lung Disease: A Pilot Study. J Thorac Imaging 2023:00005382-990000000-00094. [PMID: 37732700 DOI: 10.1097/rti.0000000000000744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
PURPOSE Correlate magnetic resonance imaging (MRI) parameters at baseline with disease progression in nonidiopathic pulmonary fibrosis interstitial lung disease (ILD). MATERIALS AND METHODS Prospective observational cohort study, in which patients with non-idiopathic pulmonary fibrosis ILD underwent MRI at baseline (1.5 T). T2-weighted images (T2-WI) were acquired by axial free-breathing respiratory-gated fat-suppressed "periodically rotated overlapping parallel lines with enhanced reconstruction" and T1-weighted images (T1-WI) by coronal end-expiratory breath-hold fat-suppressed "volumetric interpolated breath-hold examination" sequences, before and at time points T1, T3, T5, and T10 minutes after gadolinium administration. After MRI segmentation, signal intensity values were extracted by dedicated software. Percentage of the ILD volume and a ratio between signal intensity of ILD (SIILD) and normal lung (SInormal lung) were calculated for T2-WI; percentage of signal intensity (%SI) at each time point, time to peak enhancement, and percent relative enhancement of ILD in comparison with normal lung (%SIILD/normal lung) were calculated for T1-WI. MRI parameters at baseline were correlated with diagnosis of disease progression and variation in percent predicted forced vital capacity (%FVC) and diffusing capacity of the lung for carbon monoxide after 12 months. RESULTS Comprehensive MRI evaluation (T2-WI and T1-WI) was performed in 21 of the 25 patients enrolled (68% females; mean age: 62.6 y). Three of the 24 patients who completed follow-up fulfilled criteria for disease progression. Baseline T2-WI SIILD/SInormal lung was higher for the progression group (P = 0.052). T2-WI SIILD/SInormal lung and T1-WI %SIILD/normal lung at T1 were positively correlated with the 12-month variation in %FVC (r = 0.495, P = 0.014 and r = 0.489, P= 0.034, respectively). CONCLUSIONS Baseline MRI parameters correlate with %FVC decline after 12 months.
Collapse
Affiliation(s)
- Carina A Ruano
- Department of Radiology, Hospital de Santa Marta
- Department of Radiology
- NOVA Medical School, Universidade Nova de Lisboa
| | | | | | | | - José Veiga
- Department of Radiology, Hospital de Santa Marta
| | - Otília Fernandes
- Department of Radiology, Hospital de Santa Marta
- Department of Radiology
| | - Tiago Bilhim
- Interventional Radiology Unit, Department of Radiology, Hospital Curry Cabral, Centro Hospitalar Universitário de Lisboa Central
| | - Klaus L Irion
- Department of Radiology, College of Medicine, University of Florida, Gainesville, FL
| |
Collapse
|
3
|
Torres LA, Lee KE, Barton GP, Hahn AD, Sandbo N, Schiebler ML, Fain SB. Dynamic contrast enhanced MRI for the evaluation of lung perfusion in idiopathic pulmonary fibrosis. Eur Respir J 2022; 60:13993003.02058-2021. [PMID: 35273033 PMCID: PMC10015995 DOI: 10.1183/13993003.02058-2021] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Accepted: 02/24/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND The objective of this work was to apply quantitative and semiquantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) methods to evaluate lung perfusion in idiopathic pulmonary fibrosis (IPF). METHODS In this prospective trial 41 subjects, including healthy control and IPF subjects, were studied using DCE-MRI at baseline. IPF subjects were then followed for 1 year; progressive IPF (IPFprog) subjects were distinguished from stable IPF (IPFstable) subjects based on a decline in percent predicted forced vital capacity (FVC % pred) or diffusing capacity of the lung for carbon monoxide (D LCO % pred) measured during follow-up visits. 35 out of 41 subjects were retained for final baseline analysis (control: n=15; IPFstable: n=14; IPFprog: n=6). Seven measures and their coefficients of variation (CV) were derived using temporally resolved DCE-MRI. Two sets of global and regional comparisons were made: control versus IPF groups and control versus IPFstable versus IPFprog groups, using linear regression analysis. Each measure was compared with FVC % pred, D LCO % pred and the lung clearance index (LCI % pred) using a Spearman rank correlation. RESULTS DCE-MRI identified regional perfusion differences between control and IPF subjects using first moment transit time (FMTT), contrast uptake slope and pulmonary blood flow (PBF) (p≤0.05), while global averages did not. FMTT was shorter for IPFprog compared with both IPFstable (p=0.004) and control groups (p=0.023). Correlations were observed between PBF CV and D LCO % pred (rs= -0.48, p=0.022) and LCI % pred (rs= +0.47, p=0.015). Significant group differences were detected in age (p<0.001), D LCO % pred (p<0.001), FVC % pred (p=0.001) and LCI % pred (p=0.007). CONCLUSIONS Global analysis obscures regional changes in pulmonary haemodynamics in IPF using DCE-MRI in IPF. Decreased FMTT may be a candidate marker for IPF progression.
Collapse
Affiliation(s)
- Luis A Torres
- Dept of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA
| | - Kristine E Lee
- Dept of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA
| | - Gregory P Barton
- Dept of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA
| | - Andrew D Hahn
- Dept of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA
| | - Nathan Sandbo
- Dept of Medicine, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA
| | - Mark L Schiebler
- Dept of Medicine, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA.,Dept of Radiology, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA
| | - Sean B Fain
- Dept of Medical Physics, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA .,Dept of Radiology, School of Medicine and Public Health, University of Wisconsin - Madison, Madison, WI, USA.,Dept of Biomedical Engineering, College of Engineering, University of Wisconsin - Madison, Madison, WI, USA.,Dept of Radiology, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| |
Collapse
|
4
|
Khanna D, Distler O, Cottin V, Brown KK, Chung L, Goldin JG, Matteson EL, Kazerooni EA, Walsh SLF, McNitt-Gray M, Maher TM. Diagnosis and monitoring of systemic sclerosis-associated interstitial lung disease using high-resolution computed tomography. JOURNAL OF SCLERODERMA AND RELATED DISORDERS 2022; 7:168-178. [PMID: 36211204 PMCID: PMC9537704 DOI: 10.1177/23971983211064463] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 05/12/2021] [Indexed: 01/09/2023]
Abstract
Patients with systemic sclerosis are at high risk of developing systemic sclerosis–associated interstitial lung disease. Symptoms and outcomes of systemic sclerosis–associated interstitial lung disease range from subclinical lung involvement to respiratory failure and death. Early and accurate diagnosis of systemic sclerosis–associated interstitial lung disease is therefore important to enable appropriate intervention. The most sensitive and specific way to diagnose systemic sclerosis–associated interstitial lung disease is by high-resolution computed tomography, and experts recommend that high-resolution computed tomography should be performed in all patients with systemic sclerosis at the time of initial diagnosis. In addition to being an important screening and diagnostic tool, high-resolution computed tomography can be used to evaluate disease extent in systemic sclerosis–associated interstitial lung disease and may be helpful in assessing prognosis in some patients. Currently, there is no consensus with regards to frequency and scanning intervals in patients at risk of interstitial lung disease development and/or progression. However, expert guidance does suggest that frequency of screening using high-resolution computed tomography should be guided by risk of developing interstitial lung disease. Most experienced clinicians would not repeat high-resolution computed tomography more than once a year or every other year for the first few years unless symptoms arose. Several computed tomography techniques have been developed in recent years that are suitable for regular monitoring, including low-radiation protocols, which, together with other technologies, such as lung ultrasound and magnetic resonance imaging, may further assist in the evaluation and monitoring of patients with systemic sclerosis–associated interstitial lung disease. A video abstract to accompany this article is available at: https://www.globalmedcomms.com/respiratory/Khanna/HRCTinSScILD
Collapse
Affiliation(s)
- Dinesh Khanna
- Scleroderma Program, Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Oliver Distler
- Department of Rheumatology, University Hospital Zurich, Zurich, Switzerland
| | - Vincent Cottin
- Hospices Civils de Lyon, Department of Respiratory Medicine, National Coordinating Reference Center for Rare Pulmonary Diseases, Louis Pradel Hospital, INRAE, UMR754, University Claude Bernard Lyon 1, Lyon, France
| | - Kevin K Brown
- Department of Medicine, National Jewish Health, Denver, CO, USA
| | - Lorinda Chung
- Immunology and Rheumatology, Stanford University, Palo Alto, CA, USA
| | - Jonathan G Goldin
- David Geffen School of Medicine and UCLA Medical Center, Los Angeles, CA, USA
| | | | - Ella A Kazerooni
- Division of Cardiothoracic Radiology, Department of Radiology, Michigan Medicine, Ann Arbor, MI, USA
- Division of Pulmonary Medicine, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA
| | - Simon LF Walsh
- National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, UK
| | - Michael McNitt-Gray
- Department of Radiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Physics and Biology in Medicine Graduate Program, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Toby M Maher
- National Heart and Lung Institute, Imperial College London, London, UK
- Interstitial Lung Disease Unit, Royal Brompton Hospital, London, UK
| |
Collapse
|
5
|
Camastra G, Ciolina F, Arcari L, Cacciotti L, Pucci M. Heart and Lung Fibrosis in a Patient with COVID-19-Related Myocarditis. J Cardiovasc Echogr 2022; 32:52-53. [PMID: 35669133 PMCID: PMC9164915 DOI: 10.4103/jcecho.jcecho_43_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 12/14/2021] [Indexed: 11/04/2022] Open
Abstract
A COVID-19 patient, in whom pneumonia lesions were first detected by chest computed tomography, was further evaluated by cardiac magnetic resonance (CMR) due to a suspected myocarditis. Beyond heart alterations, CMR revealed peculiar features of affected pulmonary areas in T1 mapping sequences and showed a particular distribution of late gadolinium enhancement in the same regions. The noninvasive assessment of the cellular, fluid, or fibrotic content of lung lesions may provide key information about the underlying pathophysiological pathways in the search of a tailored medical therapy and ventilatory support for COVID-19 patients.
Collapse
Affiliation(s)
- Giovanni Camastra
- Cardiology Unit, General Hospital of Mother Giuseppina Vannini, Rome, Italy
| | - Federica Ciolina
- Radiology Unit, General Hospital of Mother Giuseppina Vannini, Rome, Italy
| | - Luca Arcari
- Cardiology Unit, General Hospital of Mother Giuseppina Vannini, Rome, Italy
| | - Luca Cacciotti
- Cardiology Unit, General Hospital of Mother Giuseppina Vannini, Rome, Italy
| | - Mariateresa Pucci
- Cardiology Unit, General Hospital of Mother Giuseppina Vannini, Rome, Italy,Address for correspondence: Dr. Mariateresa Pucci, Via di Acqua Bullicante 4, Rome 00177, Italy. E-mail:
| |
Collapse
|
6
|
Montesi SB, Zhou IY, Liang LL, Digumarthy SR, Mercaldo S, Mercaldo N, Seethamraju RT, Rosen BR, Caravan P. Dynamic contrast-enhanced magnetic resonance imaging of the lung reveals important pathobiology in idiopathic pulmonary fibrosis. ERJ Open Res 2021; 7:00907-2020. [PMID: 34760997 PMCID: PMC8573229 DOI: 10.1183/23120541.00907-2020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 07/21/2021] [Indexed: 01/02/2023] Open
Abstract
Introduction Evidence suggests that abnormalities occur in the lung microvasculature in idiopathic pulmonary fibrosis (IPF). We hypothesised that dynamic contrast-enhanced (DCE)-magnetic resonance imaging (MRI) could detect alterations in permeability, perfusion and extracellular extravascular volume in IPF, thus providing in vivo regional functional information not otherwise available. Methods Healthy controls and IPF subjects underwent DCE-MRI of the thorax using a dynamic volumetric radial sampling sequence and administration of gadoterate meglumine at a dose of 0.1 mmol·kg−1 at 2 mL·s−1. Model-free analysis of signal intensity versus time curves in regions of interest from a lower, middle and upper axial plane, a posterior coronal plane and the whole lung yielded parameters reflective of perfusion and permeability (peak enhancement and rate of contrast arrival (kwashin)) and the extracellular extravascular space (rate of contrast clearance (kwashout)). These imaging parameters were compared between IPF and healthy control subjects, and between fast/slow IPF progressors. Results IPF subjects (n=16, 56% male, age (range) 67.5 (60–79) years) had significantly reduced peak enhancement and slower kwashin in all measured lung regions compared to the healthy volunteers (n=17, 65% male, age (range) 58 (51–63) years) on unadjusted analyses consistent with microvascular alterations. kwashout, as a measure of the extravascular extracellular space, was significantly slower in the lower lung and posterior coronal regions in the IPF subjects consistent with an increased extravascular extracellular space. All estimates were attenuated after adjusting for age. Similar trends were observed, but only the associations with kwashin in certain lung regions remained statistically significant. Among IPF subjects, kwashout rates nearly perfectly discriminated between those with rapidly progressive disease versus those with stable/slowly progressive disease. Conclusions DCE-MRI detects changes in the microvasculature and extravascular extracellular space in IPF, thus providing in vivo regional functional information. Dynamic contrast-enhanced MRI demonstrates important in vivo lung regional microvascular and extravascular extracellular differences between IPF patients and healthy controls. These results signify IPF pathobiology and may have prognostic significance.https://bit.ly/3l14SWM
Collapse
Affiliation(s)
- Sydney B Montesi
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA.,Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,These authors contributed equally
| | - Iris Y Zhou
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.,Dept of Radiology, Massachusetts General Hospital, Boston, MA, USA.,These authors contributed equally
| | - Lloyd L Liang
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Subba R Digumarthy
- Harvard Medical School, Boston, MA, USA.,Dept of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Sarah Mercaldo
- Dept of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | | | | | - Bruce R Rosen
- Harvard Medical School, Boston, MA, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.,Dept of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Peter Caravan
- Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.,Dept of Radiology, Massachusetts General Hospital, Boston, MA, USA
| |
Collapse
|
7
|
Hobbs SB, Chung JH, Walker CM, Bang TJ, Carter BW, Christensen JD, Danoff SK, Kandathil A, Madan R, Moore WH, Shah SD, Kanne JP. ACR Appropriateness Criteria® Diffuse Lung Disease. J Am Coll Radiol 2021; 18:S320-S329. [PMID: 34794591 DOI: 10.1016/j.jacr.2021.08.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 08/26/2021] [Indexed: 11/28/2022]
Abstract
Diffuse lung disease, frequently referred to as interstitial lung disease, encompasses numerous disorders affecting the lung parenchyma. The potential etiologies of diffuse lung disease are broad with several hundred established clinical syndromes and pathologies currently identified. Imaging plays a critical role in diagnosis and follow-up of many of these diseases, although multidisciplinary discussion is the current standard for diagnosis of several DLDs. This document aims to establish guidelines for evaluation of diffuse lung diseases for 1) initial imaging of suspected diffuse lung disease, 2) initial imaging of suspected acute exacerbation or acute deterioration in cases of confirmed diffuse lung disease, and 3) clinically indicated routine follow-up of confirmed diffuse lung disease without acute deterioration. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
Collapse
Affiliation(s)
- Stephen B Hobbs
- Vice-Chair, Informatics and Integrated Clinical Operations and Division Chief, Cardiovascular and Thoracic Radiology, University of Kentucky, Lexington, Kentucky.
| | - Jonathan H Chung
- Panel Chair; and Vice-Chair of Quality, and Section Chief, Chest Imaging, Department of Radiology, University of Chicago, Chicago, Illinois
| | | | - Tami J Bang
- Co-Director, Cardiothoracic Imaging Fellowship Committee, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, Colorado; Co-Chair, membership committee, NASCI; and Membership committee, ad-hoc online content committee, STR
| | - Brett W Carter
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jared D Christensen
- Vice-Chair, Department of Radiology, Duke University Medical Center, Durham, North Carolina; and Chair, ACR Lungs-RADS
| | - Sonye K Danoff
- Johns Hopkins Medicine, Baltimore, Maryland; Board of Directors, American Thoracic Society; Senior Medical Advisor, Pulmonary Fibrosis Foundation; and Medical Advisory Board Member, The Myositis Association
| | | | - Rachna Madan
- Associate Fellowship Director, Division of Thoracic Imaging, Brigham & Women's Hospital, Boston, Massachusetts
| | - William H Moore
- Associate Chair, Clinical Informatics and Chief, Thoracic Imaging, New York University Langone Medical Center, New York, New York
| | - Sachin D Shah
- Associate Chief and Medical Information Officer, University of Chicago, Chicago, Illinois; and Primary care physician
| | - Jeffrey P Kanne
- Specialty Chair, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| |
Collapse
|
8
|
Brady D, Berkowitz EA, Sharma A, Ackman JB, Bernheim A, Chung M, Veeraraghavan S, Little BP. CT Morphologic Characteristics and Variant Patterns of Interstitial Pulmonary Fibrosis in Systemic Lupus Erythematosus. Radiol Cardiothorac Imaging 2021; 3:e200625. [PMID: 34498003 DOI: 10.1148/ryct.2021200625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 05/31/2021] [Accepted: 06/21/2021] [Indexed: 11/11/2022]
Abstract
Purpose To assess CT features of pulmonary fibrosis in patients with systemic lupus erythematosus (SLE) and to assess the presence of several distinctive patterns of fibrosis associated with connective tissue disease. Materials and Methods A cross-sectional retrospective analysis was performed. An institutional clinical database was queried for the years of 2005-2015 to identify CT examination reports of patients with SLE and fibrotic lung disease, which yielded 50 patients (median age, 49 years; age range, 22-71 years; 46 women). CT examination reports were scored by two subspecialty thoracic radiologists using a standard multilevel semiquantitative system. Readers noted the presence or absence of several recently described CT signs of variant patterns of fibrosis in connective tissue disease (the "anterior upper lobe," "straight-edge," and "exuberant honeycombing" signs), as well as two other morphologic characteristics (an "island-like" appearance of areas of well-defined fibrosis with angular margins surrounded by normal lung and confluent regions of lucent lung destruction). Results The most common CT patterns were characterized as either fibrotic nonspecific interstitial pneumonia (38%, 19 of 50) or variant fibrosis (44%, 22 of 50). CT signs of variant fibrosis were identified by both readers in up to 62% of patients, with good κ agreement (0.44-0.64); the island-like sign (62%) and anterior upper lobe sign (52%) were most commonly observed. Pulmonary function test results showed correlations with several imaging findings but did not show correlations with CT signs of variant fibrosis. Conclusion When present, pulmonary fibrosis in SLE often has a distinctive appearance and may also manifest as several variant fibrotic patterns.Keywords: CT, Lung© RSNA, 2021See also the commentary by White in this issue.
Collapse
Affiliation(s)
- Darragh Brady
- Department of Radiology, Children's National Hospital, Washington, DC (D.B.); Department of Radiology and Imaging Sciences (E.A.B.) and Department of Medicine, Division of Pulmonary and Critical Care Medicine (S.V.), Emory University, Atlanta, Ga; Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.S., J.B.A., B.P.L.); and Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.)
| | - Eugene A Berkowitz
- Department of Radiology, Children's National Hospital, Washington, DC (D.B.); Department of Radiology and Imaging Sciences (E.A.B.) and Department of Medicine, Division of Pulmonary and Critical Care Medicine (S.V.), Emory University, Atlanta, Ga; Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.S., J.B.A., B.P.L.); and Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.)
| | - Amita Sharma
- Department of Radiology, Children's National Hospital, Washington, DC (D.B.); Department of Radiology and Imaging Sciences (E.A.B.) and Department of Medicine, Division of Pulmonary and Critical Care Medicine (S.V.), Emory University, Atlanta, Ga; Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.S., J.B.A., B.P.L.); and Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.)
| | - Jeanne B Ackman
- Department of Radiology, Children's National Hospital, Washington, DC (D.B.); Department of Radiology and Imaging Sciences (E.A.B.) and Department of Medicine, Division of Pulmonary and Critical Care Medicine (S.V.), Emory University, Atlanta, Ga; Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.S., J.B.A., B.P.L.); and Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.)
| | - Adam Bernheim
- Department of Radiology, Children's National Hospital, Washington, DC (D.B.); Department of Radiology and Imaging Sciences (E.A.B.) and Department of Medicine, Division of Pulmonary and Critical Care Medicine (S.V.), Emory University, Atlanta, Ga; Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.S., J.B.A., B.P.L.); and Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.)
| | - Michael Chung
- Department of Radiology, Children's National Hospital, Washington, DC (D.B.); Department of Radiology and Imaging Sciences (E.A.B.) and Department of Medicine, Division of Pulmonary and Critical Care Medicine (S.V.), Emory University, Atlanta, Ga; Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.S., J.B.A., B.P.L.); and Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.)
| | - Srihari Veeraraghavan
- Department of Radiology, Children's National Hospital, Washington, DC (D.B.); Department of Radiology and Imaging Sciences (E.A.B.) and Department of Medicine, Division of Pulmonary and Critical Care Medicine (S.V.), Emory University, Atlanta, Ga; Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.S., J.B.A., B.P.L.); and Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.)
| | - Brent P Little
- Department of Radiology, Children's National Hospital, Washington, DC (D.B.); Department of Radiology and Imaging Sciences (E.A.B.) and Department of Medicine, Division of Pulmonary and Critical Care Medicine (S.V.), Emory University, Atlanta, Ga; Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.S., J.B.A., B.P.L.); and Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.)
| |
Collapse
|
9
|
Scharm SC, Vogel-Claussen J, Schaefer-Prokop C, Dettmer S, Knudsen L, Jonigk D, Fuge J, Apel RM, Welte T, Wacker F, Prasse A, Shin HO. Quantification of dual-energy CT-derived functional parameters as potential imaging markers for progression of idiopathic pulmonary fibrosis. Eur Radiol 2021; 31:6640-6651. [PMID: 33725189 PMCID: PMC8379131 DOI: 10.1007/s00330-021-07798-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 01/04/2021] [Accepted: 02/16/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVES The individual course of disease in idiopathic pulmonary fibrosis (IPF) is highly variable. Assessment of disease activity and prospective estimation of disease progression might have the potential to improve therapy management and indicate the onset of treatment at an earlier stage. The aim of this study was to evaluate whether regional ventilation, lung perfusion, and late enhancement can serve as early imaging markers for disease progression in patients with IPF. METHODS In this retrospective study, contrast-enhanced dual-energy CT scans of 32 patients in inspiration and delayed expiration were performed at two time points with a mean interval of 15.4 months. The pulmonary blood volume (PBV) images obtained in the arterial and delayed perfusion phase served as a surrogate for arterial lung perfusion and parenchymal late enhancement. The virtual non-contrast (VNC) images in inspiration and expiration were non-linearly registered to provide regional ventilation images. Image-derived parameters were correlated with longitudinal changes of lung function (FVC%, DLCO%), mean lung density in CT, and CT-derived lung volume. RESULTS Regional ventilation and late enhancement at baseline preceded future change in lung volume (R - 0.474, p 0.006/R - 0.422, p 0.016, respectively) and mean lung density (R - 0.469, p 0.007/R - 0.402, p 0.022, respectively). Regional ventilation also correlated with a future change in FVC% (R - 0.398, p 0.024). CONCLUSION CT-derived functional parameters of regional ventilation and parenchymal late enhancement are potential early imaging markers for idiopathic pulmonary fibrosis progression. KEY POINTS • Functional CT parameters at baseline (regional ventilation and late enhancement) correlate with future structural changes of the lung as measured with loss of lung volume and increase in lung density in serial CT scans of patients with idiopathic pulmonary fibrosis. • Functional CT parameter measurements in high-attenuation areas (- 600 to - 250 HU) are significantly different from normal-attenuation areas (- 950 to - 600 HU) of the lung. • Mean regional ventilation in functional CT correlates with a future change in forced vital capacity (FVC) in pulmonary function tests.
Collapse
Affiliation(s)
- Sarah C Scharm
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Carl-Neuberg-Str.1, 30625, Hannover, Germany
| | - Jens Vogel-Claussen
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Carl-Neuberg-Str.1, 30625, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover, Germany
| | - Cornelia Schaefer-Prokop
- Department of Radiology, Radboud University, Nijmegen, The Netherlands.,Department of Radiology, Meander Medical Center, Amersfoort, The Netherlands
| | - Sabine Dettmer
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Carl-Neuberg-Str.1, 30625, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover, Germany
| | - Lars Knudsen
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover, Germany.,Institute of Functional and Applied Anatomy, Hannover Medical School, Hannover, Germany
| | - Danny Jonigk
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover, Germany.,Institute of Pathology, Hannover Medical School, Hannover, Germany
| | - Jan Fuge
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover, Germany.,Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany
| | - Rosa-Marie Apel
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover, Germany.,Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany
| | - Tobias Welte
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover, Germany.,Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany
| | - Frank Wacker
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Carl-Neuberg-Str.1, 30625, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover, Germany
| | - Antje Prasse
- Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover, Germany.,Department of Respiratory Medicine, Hannover Medical School, Hannover, Germany
| | - Hoen-Oh Shin
- Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Carl-Neuberg-Str.1, 30625, Hannover, Germany. .,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover, Germany.
| |
Collapse
|
10
|
Dettmer S, Scharm S, Shin HO. [Radiological features of interstitial lung diseases]. DER PATHOLOGE 2021; 42:86-94. [PMID: 33496812 DOI: 10.1007/s00292-020-00906-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/22/2020] [Indexed: 11/29/2022]
Abstract
In addition to pneumology and pathology, radiology is an essential discipline in the interdisciplinary diagnosis of interstitial lung diseases (ILDs). The gold standard for diagnosis of ILD is computed tomography. Diagnostic findings are based on specific radiological signs such as interlobular septal thickening and nodular changes. From these signs and their distribution within the lung, radiological patterns can be derived, e.g., usual interstitial pneumonia, nonspecific interstitial pneumonia, or organizing pneumonia. Various differential diagnoses result from the radiological pattern, which can then be further limited in an interdisciplinary manner with the clinic and pathology and, if necessary, trigger further diagnostics.The visual assessment of interstitial lung changes requires experience and training and is nevertheless error-prone with high inter- and intraobserver variabilities. Recently, therefore, computer-aided analysis of ILDs has been increasingly promoted. These computer programs analyze the density distribution of the lung parenchyma using parameters such as mean lung density, skewness, and kurtosis thus enabling the quantification and assessment of the course of disease. Furthermore, texture analysis and artificial intelligence are used to characterize parenchymal changes and differentiate between regions of ground glass, reticulation, and honeycombing. Modern dual-energy CT methods allow a combined, regional recording of both the morphology and the function and provide information about regional ventilation and perfusion.
Collapse
Affiliation(s)
- Sabine Dettmer
- Institut für Diagnostische und Interventionelle Radiologie, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland.
| | - Sarah Scharm
- Institut für Diagnostische und Interventionelle Radiologie, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland
| | - Hoen-Oh Shin
- Institut für Diagnostische und Interventionelle Radiologie, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland
| |
Collapse
|
11
|
Weatherley ND, Eaden JA, Hughes PJC, Austin M, Smith L, Bray J, Marshall H, Renshaw S, Bianchi SM, Wild JM. Quantification of pulmonary perfusion in idiopathic pulmonary fibrosis with first pass dynamic contrast-enhanced perfusion MRI. Thorax 2020; 76:144-151. [PMID: 33273022 PMCID: PMC7815896 DOI: 10.1136/thoraxjnl-2019-214375] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 10/02/2020] [Accepted: 10/04/2020] [Indexed: 01/07/2023]
Abstract
Introduction Idiopathic pulmonary fibrosis (IPF) is a fatal disease of lung scarring. Many patients later develop raised pulmonary vascular pressures, sometimes disproportionate to the interstitial disease. Previous therapeutic approaches that have targeted pulmonary vascular changes have not demonstrated clinical efficacy, and quantitative assessment of regional pulmonary vascular involvement using perfusion imaging may provide a biomarker for further therapeutic insights. Methods We studied 23 participants with IPF, using dynamic contrast-enhanced MRI (DCE-MRI) and pulmonary function tests, including forced vital capacity (FVC), transfer factor (TLCO) and coefficient (KCO) of the lungs for carbon monoxide. DCE-MRI parametric maps were generated including the full width at half maximum (FWHM) of the bolus transit time through the lungs. Key metrics used were mean (FWHMmean) and heterogeneity (FWHMIQR). Nineteen participants returned at 6 months for repeat assessment. Results Spearman correlation coefficients were identified between TLCO and FWHMIQR (r=−0.46; p=0.026), KCO and FWHMmean (r=−0.42; p=0.047) and KCO and FWHMIQR (r=−0.51; p=0.013) at baseline. No statistically significant correlations were seen between FVC and DCE-MRI metrics. Follow-up at 6 months demonstrated statistically significant decline in FVC (p=0.040) and KCO (p=0.014), with an increase in FWHMmean (p=0.040), but no significant changes in TLCO (p=0.090) nor FWHMIQR (p=0.821). Conclusions DCE-MRI first pass perfusion demonstrates correlations with existing physiological gas exchange metrics, suggesting that capillary perfusion deficit (as well as impaired interstitial diffusion) may contribute to gas exchange limitation in IPF. FWHMmean showed a significant increase over a 6-month period and has potential as a quantitative biomarker of pulmonary vascular disease progression in IPF.
Collapse
Affiliation(s)
- Nicholas D Weatherley
- Polaris, Imaging group, Dept IICD, University of Sheffield, Sheffield, UK.,Academic Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, Sheffield, UK
| | - James A Eaden
- Polaris, Imaging group, Dept IICD, University of Sheffield, Sheffield, UK
| | - Paul J C Hughes
- Polaris, Imaging group, Dept IICD, University of Sheffield, Sheffield, UK
| | - Matthew Austin
- Polaris, Imaging group, Dept IICD, University of Sheffield, Sheffield, UK
| | - Laurie Smith
- Polaris, Imaging group, Dept IICD, University of Sheffield, Sheffield, UK
| | - Jody Bray
- Polaris, Imaging group, Dept IICD, University of Sheffield, Sheffield, UK
| | - Helen Marshall
- Polaris, Imaging group, Dept IICD, University of Sheffield, Sheffield, UK
| | - Stephen Renshaw
- Academic Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, Sheffield, UK
| | - Stephen M Bianchi
- Academic Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, Sheffield, UK
| | - Jim M Wild
- Polaris, Imaging group, Dept IICD, University of Sheffield, Sheffield, UK
| |
Collapse
|
12
|
Fleming H, Clifford SM, Haughey A, MacDermott R, McVeigh N, Healy GM, Lavelle L, Abbara S, Murphy DJ, Fabre A, McKone E, McCarthy C, Butler M, Doran P, Lynch DA, Keane MP, Dodd JD. Differentiating combined pulmonary fibrosis and emphysema from pure emphysema: utility of late gadolinium-enhanced MRI. Eur Radiol Exp 2020; 4:61. [PMID: 33141269 PMCID: PMC7641295 DOI: 10.1186/s41747-020-00187-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 10/01/2020] [Indexed: 11/16/2022] Open
Abstract
Background Differentiating combined pulmonary fibrosis with emphysema (CPFE) from pure emphysema can be challenging on high-resolution computed tomography (HRCT). This has antifibrotic therapy implications. Methods Twenty patients with suspected CPFE underwent late gadolinium-enhanced (LGE) thoracic magnetic resonance imaging (LGE-MRI) and HRCT. Data from twelve healthy control subjects from a previous study who underwent thoracic LGE-MRI were included for comparison. Quantitative LGE signal intensity (SI) was retrospectively compared in regions of fibrosis and emphysema in CPFE patients to similar lung regions in controls. Qualitative comparisons for the presence/extent of reticulation, honeycombing, and traction bronchiectasis between LGE-MRI and HRCT were assessed by two readers in consensus. Results There were significant quantitative differences in fibrosis SI compared to emphysema SI in CPFE patients (25.8, IQR 18.4–31.0 versus 5.3, IQR 5.0–8.1, p < 0.001). Significant differences were found between LGE-MRI and HRCT in the extent of reticulation (12.5, IQR 5.0–20.0 versus 25.0, IQR 15.0–26.3, p = 0.038) and honeycombing (5.0, IQR 0.0–10.0 versus 20.0, IQR 10.6–20.0, p = 0.001) but not traction bronchiectasis (10.0, IQR 5–15 versus 15.0, IQR 5–15, p = 0.878). Receiver operator curve analysis of fibrosis SI compared to similarly located regions in control subjects showed an area under the curve of 0.82 (p = 0.002). A SI cutoff of 19 yielded a sensitivity of 75% and specificity of 86% in differentiating fibrosis from similarly located regions in control subjects. Conclusion LGE-MRI can differentiate CPFE from pure emphysema and may be a useful adjunct test to HRCT in patients with suspected CPFE.
Collapse
Affiliation(s)
- Hannah Fleming
- Department of Radiology, St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland
| | - Simon M Clifford
- Department of Radiology, St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland
| | - Aoife Haughey
- Department of Radiology, St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland
| | - Roisin MacDermott
- Department of Radiology, St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland
| | - Niall McVeigh
- Department of Radiology, St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland.,School of Medicine, University College Dublin, Dublin, Ireland
| | - Gerard M Healy
- Department of Radiology, St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland
| | - Lisa Lavelle
- Department of Radiology, St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland
| | - Suhny Abbara
- Department of Radiology, UT Southwestern Hospital, Dallas, TX, USA
| | - David J Murphy
- Department of Radiology, St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland
| | - Aurelie Fabre
- School of Medicine, University College Dublin, Dublin, Ireland.,Department of Pathology, St. Vincent's University Hospital, Dublin, Ireland
| | - Edward McKone
- School of Medicine, University College Dublin, Dublin, Ireland.,Department of Respiratory Medicine, St. Vincent's University Hospital, Dublin, Ireland
| | - Cormac McCarthy
- School of Medicine, University College Dublin, Dublin, Ireland.,Department of Respiratory Medicine, St. Vincent's University Hospital, Dublin, Ireland
| | - Marcus Butler
- School of Medicine, University College Dublin, Dublin, Ireland.,Department of Respiratory Medicine, St. Vincent's University Hospital, Dublin, Ireland
| | - Peter Doran
- UCD Clinical Research Center, University College Dublin, Dublin, Ireland
| | - David A Lynch
- Department of Radiology, National Jewish Medical and Research Center, Denver, CO, USA
| | - Michael P Keane
- School of Medicine, University College Dublin, Dublin, Ireland.,Department of Respiratory Medicine, St. Vincent's University Hospital, Dublin, Ireland
| | - Jonathan D Dodd
- Department of Radiology, St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland. .,School of Medicine, University College Dublin, Dublin, Ireland.
| |
Collapse
|
13
|
Saunders LC, Eaden JA, Bianchi SM, Swift AJ, Wild JM. Free breathing lung T 1 mapping using image registration in patients with idiopathic pulmonary fibrosis. Magn Reson Med 2020; 84:3088-3102. [PMID: 32557890 DOI: 10.1002/mrm.28342] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 05/04/2020] [Accepted: 05/13/2020] [Indexed: 02/04/2023]
Abstract
PURPOSE To assess the use of image registration for correcting respiratory motion in free breathing lung T1 mapping acquisition in patients with idiopathic pulmonary fibrosis (IPF). THEORY AND METHODS The method presented used image registration to synthetic images during postprocessing to remove respiratory motion. Synthetic images were generated from a model of the inversion recovery signal of the acquired images that incorporated a periodic lung motion model. Ten healthy volunteers and 19 patients with IPF underwent 2D Look-Locker T1 mapping acquisition at 1.5T during inspiratory breath-hold and free breathing. Eight healthy volunteers and seven patients with IPF underwent T1 mapping acquisition during expiratory breath-hold. Fourteen patients had follow-up scanning at 6 months. Dice similarity coefficient (DSC) was used to evaluate registration efficacy. RESULTS Image registration increased image DSC (P < .001) in the free breathing inversion recovery images. Lung T1 measured during a free breathing acquisition was lower in patients with IPF when compared with healthy controls (inspiration: P = .238; expiration: P = .261; free breathing: P = .021). Measured lung T1 was higher in expiration breath-hold than inspiration breath-hold in healthy volunteers (P < .001) but not in patients with IPF (P = .645). There were no other significant differences between lung T1 values within subject groups. CONCLUSIONS The registration technique significantly reduced motion in the Look-Locker images acquired during free breathing and may improve the robustness of lung T1 mapping in patients who struggle to hold their breath. Lung T1 measured during a free breathing acquisition was significantly lower in patients with IPF when compared with healthy controls.
Collapse
Affiliation(s)
- Laura C Saunders
- POLARIS, Imaging Sciences, Department of IICD, University of Sheffield, Sheffield, United Kingdom
| | - James A Eaden
- POLARIS, Imaging Sciences, Department of IICD, University of Sheffield, Sheffield, United Kingdom
| | - Stephen M Bianchi
- Academic Directorate of Respiratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, United Kingdom
| | - Andrew J Swift
- POLARIS, Imaging Sciences, Department of IICD, University of Sheffield, Sheffield, United Kingdom
| | - Jim M Wild
- POLARIS, Imaging Sciences, Department of IICD, University of Sheffield, Sheffield, United Kingdom
| |
Collapse
|
14
|
Cox CW, Chung JH, Ackman JB, Berry MF, Carter BW, de Groot PM, Hobbs SB, Johnson GB, Maldonado F, McComb BL, Tong BC, Walker CM, Kanne JP. ACR Appropriateness Criteria® Occupational Lung Diseases. J Am Coll Radiol 2020; 17:S188-S197. [PMID: 32370962 DOI: 10.1016/j.jacr.2020.01.022] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 01/22/2020] [Indexed: 11/28/2022]
Abstract
Ordering the appropriate diagnostic imaging for occupational lung disease requires a firm understanding of the relationship between occupational exposure and expected lower respiratory track manifestation. Where particular inorganic dust exposures typically lead to nodular and interstitial lung disease, other occupational exposures may lead to isolated small airway obstruction. Certain workplace exposures, like asbestos, increase the risk of malignancy, but also produce pulmonary findings that mimic malignancy. This publication aims to delineate the common and special considerations associated with occupational lung disease to assist the ordering physician in selecting the most appropriate imaging study, while still stressing the importance of a multidisciplinary approach. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
Collapse
Affiliation(s)
| | | | - Jeanne B Ackman
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Mark F Berry
- Stanford University Medical Center, Stanford, California; The Society of Thoracic Surgeons
| | - Brett W Carter
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | | | | | - Fabien Maldonado
- Vanderbilt University Medical Center, Nashville, Tennessee; American College of Chest Physicians
| | | | - Betty C Tong
- Duke University School of Medicine, Durham, North Carolina; The Society of Thoracic Surgeons
| | | | - Jeffrey P Kanne
- Specialty Chair, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| |
Collapse
|
15
|
Voskrebenzev A, Vogel-Claussen J. Proton MRI of the Lung: How to Tame Scarce Protons and Fast Signal Decay. J Magn Reson Imaging 2020; 53:1344-1357. [PMID: 32166832 DOI: 10.1002/jmri.27122] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 02/20/2020] [Accepted: 02/20/2020] [Indexed: 12/19/2022] Open
Abstract
Pulmonary proton MRI techniques offer the unique possibility of assessing lung function and structure without the requirement for hyperpolarization or dedicated hardware, which is mandatory for multinuclear acquisition. Five popular approaches are presented and discussed in this review: 1) oxygen enhanced (OE)-MRI; 2) arterial spin labeling (ASL); 3) Fourier decomposition (FD) MRI and other related methods including self-gated noncontrast-enhanced functional lung (SENCEFUL) MR and phase-resolved functional lung (PREFUL) imaging; 4) dynamic contrast-enhanced (DCE) MRI; and 5) ultrashort TE (UTE) MRI. While DCE MRI is the most established and well-studied perfusion measurement, FD MRI offers a free-breathing test without any contrast agent and is predestined for application in patients with renal failure or with low compliance. Additionally, FD MRI and related methods like PREFUL and SENCEFUL can act as an ionizing radiation-free V/Q scan, since ventilation and perfusion information is acquired simultaneously during one scan. For OE-MRI, different concentrations of oxygen are applied via a facemask to assess the regional change in T1 , which is caused by the paramagnetic property of oxygen. Since this change is governed by a combination of ventilation, diffusion, and perfusion, a compound functional measurement can be achieved with OE-MRI. The known problem of fast T2 * decay of the lung parenchyma leading to a low signal-to-noise ratio is bypassed by the UTE acquisition strategy. Computed tomography (CT)-like images allow the assessment of lung structure with high spatial resolution without ionizing radiation. Despite these different branches of proton MRI, common trends are evident among pulmonary proton MRI: 1) free-breathing acquisition with self-gating; 2) application of UTE to preserve a stronger parenchymal signal; and 3) transition from 2D to 3D acquisition. On that note, there is a visible convergence of the different methods and it is not difficult to imagine that future methods will combine different aspects of the presented methods.
Collapse
Affiliation(s)
- Andreas Voskrebenzev
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Lung Research Center (DZL), Hannover, Germany
| | - Jens Vogel-Claussen
- Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), Member of the German Lung Research Center (DZL), Hannover, Germany
| |
Collapse
|
16
|
Ley S, Ley-Zaporozhan J. Novelties in imaging in pulmonary fibrosis and nodules. A narrative review. Pulmonology 2019; 26:39-44. [PMID: 31706882 DOI: 10.1016/j.pulmoe.2019.09.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 09/25/2019] [Indexed: 12/22/2022] Open
Abstract
In recent months two major fields of interest in pulmonary imaging have stood out: pulmonary fibrosis and pulmonary nodules. New guidelines have been released to define pulmonary fibrosis and subsequent studies have proved the value of these changes. In addition, new recommendations for classification of pulmonary nodules have been released. Radiological images are of major interest for automated and standardized analysis and so in both cases software tools using artificial intelligence were developed for visualization and quantification of the disease. These tools have been validated by human readers and demonstrated their capabilities. This review summarizes the new recommendations for classification of pulmonary fibrosis and nodules and reviews the capabilities of radiomics within these two entities.
Collapse
Affiliation(s)
- S Ley
- Chirurgisches Klinikum München Süd, Am Isarkanal 30, 81379 München, Germany.
| | - J Ley-Zaporozhan
- Chirurgisches Klinikum München Süd, Am Isarkanal 30, 81379 München, Germany
| |
Collapse
|
17
|
Liu S, Liu H, Li P, Jiang L. Application of high-resolution CT images information in complicated infection of lung tumors. J Infect Public Health 2019; 14:418-422. [PMID: 31451402 DOI: 10.1016/j.jiph.2019.08.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 08/02/2019] [Accepted: 08/04/2019] [Indexed: 12/23/2022] Open
Abstract
To explore the quality of high-resolution CT images information in the evaluation of pulmonary nodule interface and internal structure of nodules in lung tissue, as well as the value of early diagnosis of lung cancer associated with infection, high-resolution CT images were used as the research object. Through the analysis of the computerized detection and diagnosis (Computer-Aided Diagnosis (CAD)) of lung cancer, the high-resolution CT was further explored in the process of clinical imaging doctors in the diagnosis of lung cancer, and more conditions were created for the application of medical image processing in the early diagnosis of lung cancer. The research results show that CAD can automatically and accurately complete the automatic segmentation of the lung region in the CT image by applying the automatic segmentation algorithm for a series of processing and analysis of the CT image, that is, generating high-resolution CT images. It can enhance the pulmonary nodules in CT images and improve the accuracy of lung nodule detection, which is of great value in the diagnosis of early lung cancer. CAD diagnosis of lung lesions based on high-resolution CT images is studied, which can provide reference for imaging physicians to diagnose early lung cancer. However, in the automatic identification of benign and malignant lesions in the lungs, it is necessary to further improve the analysis function of similar nodules, which will be an important step for humans in the diagnosis and treatment of diseases.
Collapse
Affiliation(s)
- Shurong Liu
- Department of CT, Hengshui People's Hospital, Hengshui, 053000, Hebei, China
| | - Hongbo Liu
- Department of Pathology, Hengshui People's Hospital, Hengshui, 053000, Hebei, China
| | - Peipei Li
- Department of Respiration, Hengshui People's Hospital, Hengshui, 053000, Hebei, China
| | - Lijie Jiang
- Department of CT, Hengshui People's Hospital, Hengshui, 053000, Hebei, China.
| |
Collapse
|
18
|
Lonzetti L, Zanon M, Pacini GS, Altmayer S, Martins de Oliveira D, Rubin AS, Gazzoni FF, Barros MC, Hochhegger B. Magnetic resonance imaging of interstitial lung diseases: A state-of-the-art review. Respir Med 2019; 155:79-85. [PMID: 31323528 DOI: 10.1016/j.rmed.2019.07.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Revised: 05/31/2019] [Accepted: 07/05/2019] [Indexed: 02/08/2023]
Abstract
Magnetic resonance imaging (MRI) has been emerging as an imaging modality to assess interstitial lung diseases (ILD). An optimal chest MRI protocol for ILDs should include non-contrast breath-holding sequences, steady-state free-precession sequences, and contrast-enhanced sequences. One of the main MRI applications in ILDs is the differentiation between areas of active inflammation (i.e. reversible stage) and fibrosis. Alveolitis presents high signal intensity on T2-weighted sequences (WS) and early-enhancement on contrast-enhanced MR sequences, while fibrotic-predominant lesions present low signal and late-enhancement in these sequences, respectively. MRI can be useful in connective tissue diseases, idiopathic pulmonary fibrosis, and sarcoidosis. The aim of this state-of-the-art review was to perform a state-of-the-art review on the use of MRI in ILDs, and propose the optimal MRI protocols for imaging ILDs.
Collapse
Affiliation(s)
- Lilian Lonzetti
- Department of Rheumatology, Irmandade Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, R. Sarmento Leite, 245, 90050-170, Brazil.
| | - Matheus Zanon
- Medical Imaging Research Lab, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Av. Independência, 75, 90020160, Brazil.
| | - Gabriel Sartori Pacini
- Medical Imaging Research Lab, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Av. Independência, 75, 90020160, Brazil.
| | - Stephan Altmayer
- Medical Imaging Research Lab, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Av. Independência, 75, 90020160, Brazil; School of Medicine, Postgraduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Av. Ipiranga, 6681, 90619-900, Brazil.
| | - Diogo Martins de Oliveira
- School of Medicine, Postgraduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Av. Ipiranga, 6681, 90619-900, Brazil.
| | - Adalberto Sperb Rubin
- Department of Pulmonology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Av. Independência, 75, 90020160, Brazil.
| | - Fernando Ferreira Gazzoni
- Medical Imaging Research Lab, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Av. Independência, 75, 90020160, Brazil.
| | - Marcelo Cardoso Barros
- Medical Imaging Research Lab, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Av. Independência, 75, 90020160, Brazil; School of Medicine, Postgraduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Av. Ipiranga, 6681, 90619-900, Brazil; Department of Pulmonology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Av. Independência, 75, 90020160, Brazil.
| | - Bruno Hochhegger
- Medical Imaging Research Lab, LABIMED, Department of Radiology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Av. Independência, 75, 90020160, Brazil; School of Medicine, Postgraduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Av. Ipiranga, 6681, 90619-900, Brazil; Department of Pulmonology, Pavilhão Pereira Filho Hospital, Irmandade Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Av. Independência, 75, 90020160, Brazil.
| |
Collapse
|
19
|
Jacob J, Pienn M, Payer C, Urschler M, Kokosi M, Devaraj A, Wells AU, Olschewski H. Quantitative CT-derived vessel metrics in idiopathic pulmonary fibrosis: A structure-function study. Respirology 2019; 24:445-452. [PMID: 30786325 PMCID: PMC6519024 DOI: 10.1111/resp.13485] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 01/09/2019] [Indexed: 12/01/2022]
Abstract
BACKGROUND AND OBJECTIVE This study aimed to investigate whether quantitative lung vessel morphology determined by a new fully automated algorithm is associated with functional indices in idiopathic pulmonary fibrosis (IPF). METHODS A total of 152 IPF patients had vessel volume, density, tortuosity and heterogeneity quantified from computed tomography (CT) images by a fully automated algorithm. Separate quantitation of vessel metrics in pulmonary arteries and veins was performed in 106 patients. Results were evaluated against readouts from lung function tests. RESULTS Normalized vessel volume expressed as a percentage of total lung volume was moderately correlated with functional indices on univariable linear regression analysis: forced vital capacity (R2 = 0.27, P < 1 × 10-6 ), diffusion capacity for carbon monoxide (DLCO ; R2 = 0.12, P = 3 × 10-5 ), total lung capacity (TLC; R2 = 0.45, P < 1 × 10-6 ) and composite physiologic index (CPI; R2 = 0.28, P < 1 × 10-6 ). Normalized vessel volume was correlated with vessel density but not with vessel heterogeneity. Quantitatively derived vessel metrics (and artery and vein subdivision scores) were not significantly linked with the transfer factor for carbon monoxide (KCO ), and only weakly with DLCO . On multivariable linear regression analysis, normalized vessel volume and vessel heterogeneity were independently linked with DLCO , TLC and CPI indicating that they capture different aspects of lung damage. Artery-vein separation provided no additional information beyond that captured in the whole vasculature. CONCLUSION Our study confirms previous observations of links between vessel volume and functional measures of disease severity in IPF using a new vessel quantitation tool. Additionally, the new tool shows independent linkages of normalized vessel volume and vessel heterogeneity with functional indices. Quantitative vessel metrics do not appear to reflect vasculopathic damage in IPF.
Collapse
Affiliation(s)
- Joseph Jacob
- Department of Respiratory MedicineUniversity College LondonLondonUK
- Centre for Medical Image ComputingUniversity College LondonLondonUK
| | - Michael Pienn
- Ludwig Boltzmann Institute for Lung Vascular ResearchGrazAustria
| | - Christian Payer
- Institute of Computer Graphics and VisionGraz University of TechnologyGrazAustria
| | - Martin Urschler
- Institute of Computer Graphics and VisionGraz University of TechnologyGrazAustria
- Ludwig Boltzmann Institute for Clinical‐Forensic ImagingGrazAustria
| | - Maria Kokosi
- Interstitial Lung Disease UnitRoyal Brompton HospitalLondonUK
| | - Anand Devaraj
- Department of RadiologyRoyal Brompton HospitalLondonUK
| | - Athol U. Wells
- Interstitial Lung Disease UnitRoyal Brompton HospitalLondonUK
| | - Horst Olschewski
- Ludwig Boltzmann Institute for Lung Vascular ResearchGrazAustria
- Division of Pulmonology, Department of Internal MedicineMedical University of GrazGrazAustria
| |
Collapse
|
20
|
Montesi SB, Caravan P. Novel Imaging Approaches in Systemic Sclerosis-Associated Interstitial Lung Disease. Curr Rheumatol Rep 2019; 21:25. [PMID: 31025121 DOI: 10.1007/s11926-019-0826-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF THE REVIEW Novel imaging approaches, such as quantitative computed tomography (CT), magnetic resonance imaging (MRI), and molecular imaging, are being applied to interstitial lung diseases to provide prognostic, functional, and molecular information. Here, we review such imaging approaches and their applicability to systemic sclerosis-associated interstitial lung disease (SSc-ILD). RECENT FINDINGS Quantitative CT can be used to quantify the radiographic response to SSc-ILD therapy. Due to advances in MRI sequence development, MRI can detect the presence of SSc-ILD with high accuracy. MRI can also be utilized to provide functional information as to SSc-ILD and paired with molecular probes to provide non-invasive molecular information. MRI and ultrasound have promising test characteristics for diagnosing ILD in SSc without the use of ionizing radiation. Novel imaging approaches can detect SSc-ILD without the use of ionizing radiation, provide non-invasive functional and molecular information, and quantify treatment response in SSc-ILD. These techniques hold promise for translation into clinical care and clinical trials.
Collapse
Affiliation(s)
- Sydney B Montesi
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Massachusetts General Hospital, 55 Fruit Street, BUL-148, Boston, MA, 02114, USA.
| | - Peter Caravan
- A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Institute for Innovation in Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
21
|
Weatherley ND, Eaden JA, Stewart NJ, Bartholmai BJ, Swift AJ, Bianchi SM, Wild JM. Experimental and quantitative imaging techniques in interstitial lung disease. Thorax 2019; 74:611-619. [PMID: 30886067 PMCID: PMC6585263 DOI: 10.1136/thoraxjnl-2018-211779] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 01/05/2019] [Accepted: 01/14/2019] [Indexed: 01/19/2023]
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.
Collapse
Affiliation(s)
| | - James A Eaden
- Academic Unit of Academic Radiology, University of Sheffield, Sheffield, UK
| | - Neil J Stewart
- Academic Unit of Academic Radiology, University of Sheffield, Sheffield, UK
| | - Brian J Bartholmai
- Department of Radiology, Mayo Clinic Minnesota, Rochester, Minnesota, USA
| | - Andrew J Swift
- Academic Unit of Academic Radiology, University of Sheffield, Sheffield, UK
| | - Stephen Mark Bianchi
- Department of Respiratory Medicine, Sheffield Teaching Hospitals Foundation Trust, Sheffield, UK
| | - Jim M Wild
- Academic Unit of Academic Radiology, University of Sheffield, Sheffield, UK
| |
Collapse
|
22
|
Romei C, Turturici L, Tavanti L, Miedema J, Fiorini S, Marletta M, Wielopolski P, Tiddens H, Falaschi F, Ciet P. The use of chest magnetic resonance imaging in interstitial lung disease: a systematic review. Eur Respir Rev 2018; 27:27/150/180062. [PMID: 30567932 DOI: 10.1183/16000617.0062-2018] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2018] [Accepted: 10/23/2018] [Indexed: 01/09/2023] Open
Abstract
Thin-slices multi-detector computed tomography (MDCT) plays a key role in the differential diagnosis of interstitial lung disease (ILD). However, thin-slices MDCT has a limited ability to detect active inflammation, which is an important target of newly developed ILD drug therapy. Magnetic resonance imaging (MRI), thanks to its multi-parameter capability, provides better tissue characterisation than thin-slices MDCT.Our aim was to summarise the current status of MRI applications in ILD and to propose an ILD-MRI protocol. A systematic literature search was conducted for relevant studies on chest MRI in patients with ILD.We retrieved 1246 papers of which 55 original papers were selected for the review. We identified 24 studies comparing image quality of thin-slices MDCT and MRI using several MRI sequences. These studies described new MRI sequences to assess ILD parenchymal abnormalities, such as honeycombing, reticulation and ground-glass opacity. Thin-slices MDCT remains superior to MRI for morphological imaging. However, recent studies with ultra-short echo-time MRI showed image quality comparable to thin-slices MDCT. Several studies demonstrated the added value of chest MRI by using functional imaging, especially to detect and quantify inflammatory changes.We concluded that chest MRI could play a role in ILD patients to differentiate inflammatory and fibrotic changes and to assess efficacy of new ILD drugs.
Collapse
Affiliation(s)
- Chiara Romei
- 2nd Radiology Unit, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy
| | - Laura Turturici
- Radiology, Azienda USL Toscana nord ovest Sede di Viareggio, Viareggio, Italy
| | - Laura Tavanti
- Dept of Surgical, Medical, Molecular Pathology and Critical Care, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy
| | - Jelle Miedema
- Dept of Respiratory Medicine, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Sara Fiorini
- 1st Radiology Unit, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - Massimo Marletta
- 1st Radiology Unit, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | - Piotr Wielopolski
- Dept of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Harm Tiddens
- Dept of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Dept of Pediatric Pulmonology and Allergology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Fabio Falaschi
- 2nd Radiology Unit, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy
| | - Pierluigi Ciet
- Dept of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Dept of Pediatric Pulmonology and Allergology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| |
Collapse
|
23
|
Ter-Karapetyan A, Triphan SMF, Jobst BJ, Anjorin AF, Ley-Zaporozhan J, Ley S, Sedlaczek O, Biederer J, Kauczor HU, Jakob PM, Wielpütz MO. Towards quantitative perfusion MRI of the lung in COPD: The problem of short-term repeatability. PLoS One 2018; 13:e0208587. [PMID: 30532179 PMCID: PMC6287948 DOI: 10.1371/journal.pone.0208587] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Accepted: 11/20/2018] [Indexed: 01/12/2023] Open
Abstract
Purpose 4D perfusion magnetic resonance imaging (MRI) with intravenous injection of contrast agent allows for a radiation-free assessment of regional lung function. It is therefore a valuable method to monitor response to treatment in patients with chronic obstructive pulmonary disease (COPD). This study was designed to evaluate its potential for monitoring short-term response to hyperoxia in COPD patients. Materials and methods 19 prospectively enrolled COPD patients (median age 66y) underwent paired dynamic contrast-enhanced 4D perfusion MRI within 35min, first breathing 100% oxygen (injection 1, O2) and then room air (injection 2, RA), which was repeated on two consecutive days (day 1 and 2). Post-processing software was employed to calculate mean transit time (MTT), pulmonary blood volume (PBV) and pulmonary blood flow (PBF), based on the indicator dilution theory, for the automatically segmented whole lung and 12 regions of equal volume. Results Comparing O2 with RA conditions, PBF and PBV were found to be significantly lower at O2, consistently on both days (p<10–8). Comparing day 2 to day 1, MTT was shorter by 0.59±0.63 s (p<10–8), PBF was higher by 22±80 ml/min/100ml (p<3·10–4), and PBV tended to be lower by 0.2±7.2 ml/100ml (p = 0.159) at both, RA and O2, conditions. Conclusion The second injection (RA) yielded higher PBF and PBV, which apparently contradicts the established hypothesis that hyperoxia increases lung perfusion. Quantification of 4D perfusion MRI by current software approaches may thus be limited by residual circulating contrast agent in the short-term and even the next day.
Collapse
Affiliation(s)
- Alvard Ter-Karapetyan
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Simon M. F. Triphan
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany
- Research Center Magnetic Resonance Bavaria (MRB), Würzburg, Germany
- * E-mail:
| | - Bertram J. Jobst
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Angela F. Anjorin
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Julia Ley-Zaporozhan
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
| | - Sebastian Ley
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany
- Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany
- Diagnostic & Interventional Radiology, Chirurgisches Klinikum München Süd, Munich, Germany
| | - Oliver Sedlaczek
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Jürgen Biederer
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany
- Radiologie Darmstadt, Department of Radiology, County Hospital Gross-Gerau, Gross-Gerau, Germany
| | - Hans-Ulrich Kauczor
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| | - Peter M. Jakob
- Research Center Magnetic Resonance Bavaria (MRB), Würzburg, Germany
- Department of Experimental Physics Julius-Maximilians Universität, Würzburg, Germany
| | - Mark O. Wielpütz
- Department of Diagnostic & Interventional Radiology, University Hospital of Heidelberg, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Lung Research Center (DZL), Heidelberg, Germany
- Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University of Heidelberg, Heidelberg, Germany
| |
Collapse
|
24
|
Robbie H, Daccord C, Chua F, Devaraj A. Evaluating disease severity in idiopathic pulmonary fibrosis. Eur Respir Rev 2017; 26:26/145/170051. [PMID: 28877976 DOI: 10.1183/16000617.0051-2017] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Accepted: 06/16/2017] [Indexed: 12/27/2022] Open
Abstract
Accurate assessment of idiopathic pulmonary fibrosis (IPF) disease severity is integral to the care provided to patients with IPF. However, to date, there are no generally accepted or validated staging systems. There is an abundance of data on using information acquired from physiological, radiological and pathological parameters, in isolation or in combination, to assess disease severity in IPF. Recently, there has been interest in using serum biomarkers and computed tomography-derived quantitative lung fibrosis measures to stage disease severity in IPF. This review will focus on the suggested methods for staging IPF, at baseline and on serial assessment, their strengths and limitations, as well as future developments.
Collapse
Affiliation(s)
- Hasti Robbie
- Radiology Dept, Royal Brompton and Harefield NHS Foundation Trust, London, UK
| | - Cécile Daccord
- Interstitial Lung Disease Unit, Royal Brompton and Harefield NHS Foundation Trust, London, UK.,Respiratory Medicine, University Hospital of Lausanne, Lausanne, Switzerland
| | - Felix Chua
- Interstitial Lung Disease Unit, Royal Brompton and Harefield NHS Foundation Trust, London, UK
| | - Anand Devaraj
- Centre for Academic Radiology, Royal Brompton Hospital, London, UK
| |
Collapse
|