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Landini N, Orlandi M, Calistri L, Nardi C, Ciet P, Bellando-Randone S, Guiducci S, Benkert T, Panebianco V, Morana G, Matucci-Cerinic M, Colagrande S. Advanced and traditional chest MRI sequence for the clinical assessment of systemic sclerosis related interstitial lung disease, compared to CT: disease extent analysis and correlations with pulmonary function tests. Eur J Radiol 2024; 170:111239. [PMID: 38056347 DOI: 10.1016/j.ejrad.2023.111239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 11/22/2023] [Accepted: 11/26/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND MRI is a radiation-free emerging alternative to CT in systemic sclerosis related interstitial lung disease (SSc-ILD) assessment. We aimed to compare a T2 radial TSE and a PD UTE MRI sequence with CT in SSc-ILD extent evaluation and correlations with pulmonary function tests (PFT). MATERIAL AND METHODS 29 SSc-ILD patients underwent CT, MRI and PFT. ILD extent was visually assessed. Lin's concordance correlation coefficients (CCC) and Kruskal Wallis test (p-value < 0.05) were computed for inter-method comparison. Patients were divided in limited and extended disease, defining extended ILD with two methods: (A) ILD>30% or 10%20% or 20% with FVC%<70%. MRI Sensitivity, Specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV) and Accuracy were assessed. Pearson correlation coefficients r (p-value<0.025) were computed between ILD extents and PFT (FVC% and DLCO%). RESULTS Median ILD extents were 11%, 11%, 10% on CT, radial TSE and UTE, respectively. CCC between CT and MRI was 0.95 for both sequences (Kruskal-Wallis p-value=0.64). Sensitivity, Specificity, PPV, NPV and Accuracy in identifying extended disease were: (A) 87.5 %, 100 %, 100 %, 95.5 and 96.6 % with radial TSE and 87.5 %, 95.2 %, 87.5 %, 95.2 and 93.1 % with UTE; (B) 86.7 %, 86.4 %, 66.7 %, 95.0 % and 86.2 % for both sequences. Pearson r of CT, radial TSE and UTE ILD extents with FVC were -0.66, -0.60 and -0.68 with FVC, -0.59, -0.56 and -0.57 with DLCO, respectively (p<0.002). CONCLUSIONS MRI sequences may have similar accuracy to CT to determine SSc-ILD extent and severity, with analogous correlations with PFT.
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Affiliation(s)
- Nicholas Landini
- Department of Radiological, Oncological and Pathological Sciences, Policlinico Umberto I Hospital, "Sapienza" Rome University, Rome, Italy.
| | - Martina Orlandi
- Department of Experimental and Clinical Medicine, Division of Rheumatology AOUC Careggi, University of Florence, Florence, Italy.
| | - Linda Calistri
- Department of Experimental and Clinical Biomedical Sciences, University of Florence & Radiodiagnostic Unit n. 2 AOUC, Florence, Italy.
| | - Cosimo Nardi
- Department of Experimental and Clinical Biomedical Sciences, University of Florence & Radiodiagnostic Unit n. 2 AOUC, Florence, Italy.
| | - Pierluigi Ciet
- Department of Radiology and Nuclear Medicine, Erasmus MC - Sophia, Rotterdam, Netherlands; Department of Radiology, Policlinico Universitario, Cagliari, Italy.
| | - Silvia Bellando-Randone
- Department of Experimental and Clinical Medicine, Division of Rheumatology AOUC Careggi, University of Florence, Florence, Italy.
| | - Serena Guiducci
- Department of Experimental and Clinical Medicine, Division of Rheumatology AOUC Careggi, University of Florence, Florence, Italy.
| | - Thomas Benkert
- MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
| | - Valeria Panebianco
- Department of Radiological, Oncological and Pathological Sciences, Policlinico Umberto I Hospital, "Sapienza" Rome University, Rome, Italy.
| | - Giovanni Morana
- Department of Radiology, S. Maria Ca' Foncello Regional Hospital, Treviso, Italy.
| | - Marco Matucci-Cerinic
- Department of Experimental and Clinical Medicine, Division of Rheumatology AOUC Careggi, University of Florence, Florence, Italy; Unit of Immunology, Rheumatology, Allergy and Rare Diseases (UnIRAR), IRCCS San Raffaele Hospital, Milan, Italy.
| | - Stefano Colagrande
- Department of Experimental and Clinical Biomedical Sciences, University of Florence & Radiodiagnostic Unit n. 2 AOUC, Florence, Italy.
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Jeon H, Nam BD, Yoon CH, Kim HS. Radiologic approach and progressive exploration of connective tissue disease-related interstitial lung disease: meeting the curiosity of rheumatologists. J Rheum Dis 2024; 31:3-14. [PMID: 38130961 PMCID: PMC10730800 DOI: 10.4078/jrd.2023.0042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/10/2023] [Accepted: 09/11/2023] [Indexed: 12/23/2023]
Abstract
Interstitial lung disease (ILD) is often observed in connective tissue diseases (CTDs), frequently in rheumatoid arthritis, systemic sclerosis, primary Sjögren's syndrome, and inflammatory myositis. Early detection of ILDs secondary to rheumatic diseases is important as timely initiation of proper management affects the prognosis. Among many imaging modalities, high-resuloution computed tomography (HRCT) serves the gold standard for finding early lung inflammatory and fibrotic changes as well as monitoring afterwards because of its superior spatial resolution. Additionally, lung ultrasound (LUS) and magnetic resonance imaging (MRI) are the rising free-radiation imaging tools that can get images of lungs of CTD-ILD. In this review article, we present the subtypes of ILD images found in each CTD acquired by HRCT as well as some images taken by LUS and MRI with comparative HRCT scans. It is expected that this discussion would be helpful in discussing recent advances in imaging modalities for CTD-ILD and raising critical points for diagnosis and tracing of the images from the perspective of rheumatologists.
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Affiliation(s)
- Hyeji Jeon
- Division of Rheumatology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Bo Da Nam
- Department of Radiology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
| | - Chong-Hyeon Yoon
- Division of Rheumatology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyun-Sook Kim
- Division of Rheumatology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Korea
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Landini N, Orlandi M, Occhipinti M, Nardi C, Tofani L, Bellando-Randone S, Ciet P, Wielopolski P, Benkert T, Bruni C, Bertolo S, Moggi-Pignone A, Matucci-Cerinic M, Morana G, Colagrande S. Ultrashort Echo-Time Magnetic Resonance Imaging Sequence in the Assessment of Systemic Sclerosis-Interstitial Lung Disease. J Thorac Imaging 2023; 38:97-103. [PMID: 35482025 DOI: 10.1097/rti.0000000000000637] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE To test respiratory-triggered ultrashort echo-time (UTE) Spiral VIBE-MRI sequence in systemic sclerosis-interstitial lung disease assessment compared with computed tomography (CT). MATERIAL AND METHODS Fifty four SSc patients underwent chest CT and UTE (1.5 T). Two radiologists, independently and in consensus, verified ILD presence/absence and performed a semiquantitative analysis (sQA) of ILD, ground-glass opacities (GGO), reticulations and honeycombing (HC) extents on both scans. A CT software quantitative texture analysis (QA) was also performed. For ILD detection, intra-/inter-reader agreements were computed with Cohen K coefficient. UTE sensitivity and specificity were assessed. For extent assessments, intra-/inter-reader agreements and UTE performance against CT were computed by Lin's concordance coefficient (CCC). RESULTS Three UTE were discarded for low quality, 51 subjects were included in the study. Of them, 42 QA segmentations were accepted. ILD was diagnosed in 39/51 CT. UTE intra-/inter-reader K in ILD diagnosis were 0.56 and 0.26. UTE showed 92.8% sensitivity and 75.0% specificity. ILD, GGO, and reticulation extents were 14.8%, 7.7%, and 7.1% on CT sQA and 13.0%, 11.2%, and 1.6% on CT QA. HC was <1% and not further considered. UTE intra-/inter-reader CCC were 0.92 and 0.89 for ILD extent and 0.84 and 0.79 for GGO extent. UTE RET extent intra-/inter-reader CCC were 0.22 and 0.18. UTE ILD and GGO extents CCC against CT sQA and QA were ≥0.93 and ≥0.88, respectively. RET extent CCC were 0.35 and 0.22 against sQA and QA, respectively. CONCLUSION UTE Spiral VIBE-MRI sequence is reliable in assessing ILD and GGO extents in systemic sclerosis-interstitial lung disease patients.
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Affiliation(s)
- Nicholas Landini
- Department of Radiology, Ca' Foncello General Hospital, Treviso
- Department of Experimental and Clinical Biomedical Sciences, University of Florence & Radiodiagnostic Unit n. 2 AOUC
| | - Martina Orlandi
- Department of Experimental and Clinical Medicine, University of Florence and Division of Rheumatology AOUC & Scleroderma Unit
| | - Mariaelena Occhipinti
- Department of Experimental and Clinical Biomedical Sciences, University of Florence & Radiodiagnostic Unit n. 2 AOUC
| | - Cosimo Nardi
- Department of Experimental and Clinical Biomedical Sciences, University of Florence & Radiodiagnostic Unit n. 2 AOUC
| | - Lorenzo Tofani
- Department of Experimental and Clinical Medicine, University of Florence and Division of Rheumatology AOUC & Scleroderma Unit
| | - Silvia Bellando-Randone
- Department of Experimental and Clinical Medicine, University of Florence and Division of Rheumatology AOUC & Scleroderma Unit
| | - Pierluigi Ciet
- Department of Pediatric Pulmonology, Erasmus University Medical Centre, Sophia Children's Hospital
- Department of Radiology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Piotr Wielopolski
- Department of Radiology, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Thomas Benkert
- MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Cosimo Bruni
- Department of Experimental and Clinical Medicine, University of Florence and Division of Rheumatology AOUC & Scleroderma Unit
| | - Silvia Bertolo
- Department of Radiology, Ca' Foncello General Hospital, Treviso
| | - Alberto Moggi-Pignone
- Department of Experimental and Clinical Medicine, University of Florence & Division of Internal Medicine Unit IV AOUC, Florence, Italy
| | - Marco Matucci-Cerinic
- Department of Experimental and Clinical Medicine, University of Florence and Division of Rheumatology AOUC & Scleroderma Unit
| | - Giovanni Morana
- Department of Radiology, Ca' Foncello General Hospital, Treviso
| | - Stefano Colagrande
- Department of Experimental and Clinical Biomedical Sciences, University of Florence & Radiodiagnostic Unit n. 2 AOUC
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Masanam HB, Perumal G, Krishnan S, Singh SK, Jha NK, Chellappan DK, Dua K, Gupta PK, Narasimhan AK. Advances and opportunities in nanoimaging agents for the diagnosis of inflammatory lung diseases. Nanomedicine (Lond) 2022; 17:1981-2005. [PMID: 36695290 DOI: 10.2217/nnm-2021-0427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
The development of rapid, noninvasive diagnostics to detect lung diseases is a great need after the COVID-2019 outbreak. The nanotechnology-based approach has improved imaging and facilitates the early diagnosis of inflammatory lung diseases. The multifunctional properties of nanoprobes enable better spatial-temporal resolution and a high signal-to-noise ratio in imaging. Targeted nanoimaging agents have been used to bind specific tissues in inflammatory lungs for early-stage diagnosis. However, nanobased imaging approaches for inflammatory lung diseases are still in their infancy. This review provides a solution-focused approach to exploring medical imaging technologies and nanoprobes for the detection of inflammatory lung diseases. Prospects for the development of contrast agents for lung disease detection are also discussed.
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Affiliation(s)
- Hema Brindha Masanam
- Advanced Nano-Theranostics (ANTs), Biomaterials Lab, Department of Biomedical Engineering, SRM Institute of Science & Technology, Kattankulathur, Tamil Nadu, 603 203, India
| | - Govindaraj Perumal
- Department of Conservative Dentistry & Endodontics, Saveetha Dental College & Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Velappanchavadi, Chennai, 600 077, India.,Department of Biomedical Engineering, Rajalakshmi Engineering College, Thandalam, Chennai, 602 105, India
| | | | - Sachin Kumar Singh
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, India
| | - Niraj Kumar Jha
- Department of Biotechnology, School of Engineering & Technology (SET), Sharda University, Knowledge Park III, Greater Noida, Uttar Pradesh, 201310, India
| | - Dinesh Kumar Chellappan
- Department of Life Sciences, School of Pharmacy, International Medical University (IMU), Bukit Jalil, Kuala Lumpur, 57000, Malaysia
| | - Kamal Dua
- Discipline of Pharmacy, Graduate School of Health, University of Technology Sydney, NSW 2007, Australia
| | - Piyush Kumar Gupta
- Department of Life Sciences, School of Basic Sciences & Research (SBSR), Sharda University, Knowledge Park III, Greater Noida, Uttar Pradesh, 201310, India.,Department of Biotechnology, Graphic Era Deemed to be University, Dehradun, Uttarakhand, 248002, India.,Faculty of Health and Life Sciences, INTI International University, Nilai 71800, Malaysia
| | - Ashwin Kumar Narasimhan
- Advanced Nano-Theranostics (ANTs), Biomaterials Lab, Department of Biomedical Engineering, SRM Institute of Science & Technology, Kattankulathur, Tamil Nadu, 603 203, India
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Yang X, Liu M, Duan J, Sun H, An J, Benkert T, Dai H, Wang C. Three-dimensional ultrashort echo time magnetic resonance imaging in assessment of idiopathic pulmonary fibrosis, in comparison with high-resolution computed tomography. Quant Imaging Med Surg 2022; 12:4176-4189. [PMID: 35919053 PMCID: PMC9338383 DOI: 10.21037/qims-21-1133] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 05/27/2022] [Indexed: 11/20/2022]
Abstract
Background We aimed to evaluate the image quality, feasibility, and diagnostic performance of three-dimensional ultrashort echo time magnetic resonance imaging (3D UTE-MRI) to assess idiopathic pulmonary fibrosis (IPF) compared with high-resolution computed tomography (HRCT) and half-Fourier single-shot turbo spin-echo (HASTE) MRI. Methods A total of 36 patients with IPF (34 men; mean age: 62±8 years, age range: 43 to 78 years) were prospectively included and underwent HRCT and chest MRI on the same day. Chest MRI was performed with a free-breathing 3D spiral UTE pulse sequence and HASTE sequence on a 1.5 T MRI. Two radiologists independently evaluated the image quality of the HRCT, HASTE, and 3D UTE-MRI. They assessed the representative imaging features of IPF, including honeycombing, reticulation, traction bronchiectasis, and ground-glass opacities. Image quality of the 3D UTE-MRI, HASTE, and HRCT were assessed using a 5-point visual scoring method. Kappa and weighted kappa analysis were used to measure intra- and inter-observer and inter-method agreements. Sensitivity (SE), specificity (SP), and accuracy (AC) were used to assess the performance of 3D UTE-MRI for detecting image features of IPF and monitoring the extent of pulmonary fibrosis. Linear regressions and Bland-Altman plots were generated to assess the correlation and agreement between the assessment of the extent of pulmonary fibrosis made by the 2 observers. Results The image quality of HRCT was higher than that of HASTE and UTE-MRI (HRCT vs. UTE-MRI vs. HASTE: 4.9±0.3 vs. 4.1±0.7 vs. 3.0±0.3; P<0.001). Interobserver agreement of HRCT, HASTE, and 3D UTE-MRI when assessing pulmonary fibrosis was substantial and excellent (HRCT: 0.727≤ κ ≤1, P<0.001; HASTE: 0.654≤ κ ≤1, P<0.001; 3D UTE-MRI: 0.719≤ κ ≤0.824, P<0.001). In addition, reticulation (SE: 97.1%; SP: 100%; AC: 97.2%; κ =0.654), honeycombing (SE: 83.3%; SP: 100%; AC: 86.1%; κ =0.625) patterns, and traction bronchiectasis (SE: 94.1%; SP: 100%; AC: 94.4%, κ =0.640) were also well-visualized on 3D UTE-MRI, which was significantly superior to HASTE. Compared with HRCT, the sensitivity of 3D UTE-MRI to detect signs of pulmonary fibrosis (n=35) was 97.2%. The interobserver agreement in elevation of the extent of pulmonary fibrosis with HRCT and 3D UTE-MRI was R2=0.84 (P<0.001) and R2=0.84 (P<0.001), respectively. The extent of pulmonary fibrosis assessed with 3D UTE-MRI [median =9, interquartile range (IQR): 6.25 to 10.00] was lower than that from HRCT (median =12, IQR: 9.25 to 13.00; U=320.00, P<0.001); however, they had a positive correlation (R=0.72, P<0.001). Conclusions As a radiation-free non-contrast enhanced imaging method, although the image quality of 3D UTE-MRI is inferior to that of HRCT, it has high reproducibility to identify the imaging features of IPF and evaluate the extent of pulmonary fibrosis.
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Affiliation(s)
- Xiaoyan Yang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Capital Medical University, Beijing, China.,National Center for Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Min Liu
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Jianghui Duan
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Haishuang Sun
- National Center for Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Jing An
- Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China
| | - Thomas Benkert
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Huaping Dai
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Capital Medical University, Beijing, China.,National Center for Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Chen Wang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Capital Medical University, Beijing, China.,National Center for Respiratory Medicine, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, National Clinical Research Center for Respiratory Diseases, Beijing, China.,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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6
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Chen X, Cheng G, Yang X, Liao Y, Zhou Z. Exploring the Value of Features of Lung Texture in Distinguishing Between Usual and Nonspecific Interstitial Pneumonia. Acad Radiol 2022; 30:1066-1072. [PMID: 35843833 DOI: 10.1016/j.acra.2022.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 06/09/2022] [Accepted: 06/15/2022] [Indexed: 11/01/2022]
Abstract
RATIONALE AND OBJECTIVES This article aims to explore the potential use of lung texture assessed in CT images in distinguishing between the usual interstitial pneumonia and the nonspecific interstitial pneumonia. MATERIALS AND METHODS A retrospective analysis of 96 cases of interstitial pneumonia was performed. Among these cases, there were 40 cases of usual interstitial pneumonia (UIP) and 56 cases of the nonspecific interstitial pneumonia (NSIP) . All of the patients underwent computed tomography (CT) scans. A lung intelligence kit (LK) was utilized to perform lung segmentation and texture feature extraction. The significant variables were determined by variance analysis, least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression. Finally, a multivariate logistic regression model was established to distinguish between the two types of interstitial pneumonia. Receiver operating characteristic (ROC) curves, area under the curve (AUC) values, sensitivity, and specificity were used to evaluate the performance of the established model. RESULTS A total of 100 texture features were extracted from the whole lung that was segmented by LK, and 8 features remained after feature reduction. The AUC, sensitivity, and specificity of the multivariate logistic regression model in the training group and the test group were 0.952 and 0.838, 0.821 and 0.667, and 0.949 and 0.824, respectively. CONCLUSION It is possible to distinguish between UIP and NSIP using lung texture features obtained from CT images.
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Affiliation(s)
- Xinhui Chen
- Department of Radiology, Affiliated Hospital of Guilin Medical University, Guilin 541001, China; Department of Radiology, Zhanjiang Central People's Hospital, Zhanjiang 524037, China
| | - Ge Cheng
- Department of Radiology, Affiliated Hospital of Guilin Medical University, Guilin 541001, China
| | - Xinguan Yang
- Department of Radiology, Affiliated Hospital of Guilin Medical University, Guilin 541001, China
| | | | - Zhipeng Zhou
- Department of Radiology, Affiliated Hospital of Guilin Medical University, Guilin 541001, China.
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7
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Rotkopf LT, Kampf T, Triphan SMF, Schlemmer HP, Ziener CH. Influence of flow and susceptibility effects on spin dephasing in lung tissue. Med Phys 2022; 49:5981-5992. [PMID: 35638106 DOI: 10.1002/mp.15784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 05/17/2022] [Accepted: 05/21/2022] [Indexed: 11/10/2022] Open
Abstract
PURPOSE Magnetic resonance imaging (MRI) of the lung can be used for diagnosis and monitoring of interstitial lung disease. Biophysical models of alveolar lung tissue are needed to understand the complex interplay of susceptibility, diffusion, and flow effects, and their influence on magnetic resonance (MR) spin dephasing. METHODS In this work, we present a method for modeling the signal decay of lung tissue by utilizing a two-compartment model, which considers the different spin dephasing mechanisms in the alveolar vasculature and interstitial tissue. This allows calculating the magnetization dynamics and the MR lineshape, which can be measured noninvasively using clinical MR scanners. RESULTS The accuracy of the method was evaluated using finite element simulations and the experimentally measured lineshapes of a healthy volunteer. In this comparison, the model performs well, indicating that the relevant spin dephasing mechanisms are correctly taken into account. CONCLUSIONS The proposed method can be used to estimate the influence of blood flow and alveolar geometry on the MR lineshape of lung tissue.
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Affiliation(s)
- Lukas T Rotkopf
- Department of Radiology, German Cancer Research Center, Im Neuenheimer Feld, Heidelberg, Germany.,Medical Faculty, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Thomas Kampf
- Department of Neuroradiology, Würzburg University Hospital, Würzburg, Germany.,Department of Experimental Physics 5, University of Würzburg, Würzburg, Germany
| | - Simon M F Triphan
- Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.,Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
| | - Heinz-Peter Schlemmer
- Department of Radiology, German Cancer Research Center, Im Neuenheimer Feld, Heidelberg, Germany
| | - Christian H Ziener
- Department of Radiology, German Cancer Research Center, Im Neuenheimer Feld, Heidelberg, Germany
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8
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Liu Q, Feng Z, Liu WV, Fu W, He L, Cheng X, Mao Z, Zhou W. Assessment of Solid Pulmonary Nodules or Masses Using Zero Echo Time MR Lung Imaging: A Prospective Head-to-Head Comparison With CT. Front Oncol 2022; 12:812014. [PMID: 35558517 PMCID: PMC9088008 DOI: 10.3389/fonc.2022.812014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 03/24/2022] [Indexed: 11/13/2022] Open
Abstract
Objective The aim of this study is to determine the potential of zero echo time (ZTE) MR lung imaging in the assessment of solid pulmonary nodules or masses and diagnostic consistency to CT in terms of morphologic characterization. Methods Our Institutional Review Board approved this prospective study. Seventy-one patients with solid pulmonary nodules or masses larger than 1 cm in diameter confirmed by chest CT were enrolled and underwent further lung ZTE-MRI scans within 7 days. ZTE-MRI and CT images were compared in terms of image quality and imaging features. Unidimensional diameter and three-dimensional volume measurements on both modalities were manually measured and compared using the Wilcoxon signed-rank test, intraclass correlation coefficient (ICC), Pearson's correlation analysis, and Bland-Altman analysis. Multivariable logistic regression analysis was used to identify the factors associated with significant inter-modality variation of volume. Results Fifty-four of 71 (76.1%) patients were diagnosed with lung cancer. Subjective image quality was superior in CT compared with ZTE-MRI (p < 0.001). Inter-modality agreement for the imaging features was moderate for emphysema (kappa = 0.50), substantial for fibrosis (kappa = 0.76), and almost perfect (kappa = 0.88-1.00) for the remaining features. The size measurements including diameter and volume between ZTE-MRI and CT showed no significant difference (p = 0.36 for diameter and 0.60 for volume) and revealed perfect inter-observer (ICC = 0.975-0.980) and inter-modality (ICC = 0.942-0.992) agreements. Multivariable analysis showed that non-smooth margin [odds ratio (OR) = 6.008, p = 0.015] was an independent predictor for the significant inter-modality variation of volume. Conclusion ZTE lung imaging is feasible as a part of chest MRI in the assessment and surveillance for solid pulmonary nodules or masses larger than 1 cm, presenting perfect agreement with CT in terms of morphologic characterization.
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Affiliation(s)
- Qianyun Liu
- Department of Medical Imaging, Yueyang Central Hospital, Yueyang, China
| | - Zhichao Feng
- Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Weiyin Vivian Liu
- Magnetic Resonance (MR) Research, General Electric (GE) Healthcare, Beijing, China
| | - Weidong Fu
- Department of Medical Imaging, Yueyang Central Hospital, Yueyang, China
| | - Lei He
- Department of Medical Imaging, Yueyang Central Hospital, Yueyang, China
| | - Xiaosan Cheng
- Department of Medical Imaging, Yueyang Central Hospital, Yueyang, China
| | - Zhongliang Mao
- Department of Medical Imaging, Yueyang Central Hospital, Yueyang, China
| | - Wenming Zhou
- Department of Medical Imaging, Yueyang Central Hospital, Yueyang, China
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9
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Glass DS, Grossfeld D, Renna HA, Agarwala P, Spiegler P, DeLeon J, Reiss AB. Idiopathic pulmonary fibrosis: Current and future treatment. Clin Respir J 2022; 16:84-96. [PMID: 35001525 PMCID: PMC9060042 DOI: 10.1111/crj.13466] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 10/21/2021] [Accepted: 11/25/2021] [Indexed: 12/12/2022]
Abstract
Objectives Idiopathic pulmonary fibrosis (IPF) is a chronic fibrotic lung disease characterized by dry cough, fatigue, and progressive exertional dyspnea. Lung parenchyma and architecture is destroyed, compliance is lost, and gas exchange is compromised in this debilitating condition that leads inexorably to respiratory failure and death within 3–5 years of diagnosis. This review discusses treatment approaches to IPF in current use and those that appear promising for future development. Data Source The data were obtained from the Randomized Controlled Trials and scientific studies published in English literature. We used search terms related to IPF, antifibrotic treatment, lung transplant, and management. Results Etiopathogenesis of IPF is not fully understood, and treatment options are limited. Pathological features of IPF include extracellular matrix remodeling, fibroblast activation and proliferation, immune dysregulation, cell senescence, and presence of aberrant basaloid cells. The mainstay therapies are the oral antifibrotic drugs pirfenidone and nintedanib, which can improve quality of life, attenuate symptoms, and slow disease progression. Unilateral or bilateral lung transplantation is the only treatment for IPF shown to increase life expectancy. Conclusion Clearly, there is an unmet need for accelerated research into IPF mechanisms so that progress can be made in therapeutics toward the goals of increasing life expectancy, alleviating symptoms, and improving well‐being.
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Affiliation(s)
- Daniel S Glass
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, New York, USA
| | - David Grossfeld
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, New York, USA
| | - Heather A Renna
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, New York, USA
| | - Priya Agarwala
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, New York, USA
| | - Peter Spiegler
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, New York, USA
| | - Joshua DeLeon
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, New York, USA
| | - Allison B Reiss
- Department of Medicine and Biomedical Research Institute, NYU Long Island School of Medicine, Mineola, New York, USA
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Huang Y, Niisato E, Su MM, Benkert T, Chien N, Chiang P, Lee W, Chen J, Chang Y. Applying Compressed Sensing Volumetric Interpolated Breath-Hold Examination and Spiral Ultrashort Echo Time Sequences for Lung Nodule Detection in MRI. Diagnostics (Basel) 2022; 12:93. [PMID: 35054260 PMCID: PMC8774698 DOI: 10.3390/diagnostics12010093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 12/17/2021] [Accepted: 12/29/2021] [Indexed: 11/17/2022] Open
Abstract
This prospective study aimed to investigate the ability of spiral ultrashort echo time (UTE) and compressed sensing volumetric interpolated breath-hold examination (CS-VIBE) sequences in magnetic resonance imaging (MRI) compared to conventional VIBE and chest computed tomography (CT) in terms of image quality and small nodule detection. Patients with small lung nodules scheduled for video-assisted thoracoscopic surgery (VATS) for lung wedge resection were prospectively enrolled. Each patient underwent non-contrast chest CT and non-contrast MRI on the same day prior to thoracic surgery. The chest CT was performed to obtain a standard reference for nodule size, location, and morphology. The chest MRI included breath-hold conventional VIBE and CS-VIBE with scanning durations of 11 and 13 s, respectively, and free-breathing spiral UTE for 3.5–5 min. The signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and normal structure visualizations were measured to evaluate MRI quality. Nodule detection sensitivity was evaluated on a lobe-by-lobe basis. Inter-reader and inter-modality reliability analyses were performed using the Cohen κ statistic and the nodule size comparison was performed using Bland–Altman plots. Among 96 pulmonary nodules requiring surgery, the average nodule diameter was 7.7 ± 3.9 mm (range: 4–20 mm); of the 73 resected nodules, most were invasive cancer (74%) or pre-invasive carcinoma in situ (15%). Both spiral UTE and CS-VIBE images achieved significantly higher overall image quality scores, SNRs, and CNRs than conventional VIBE. Spiral UTE (81%) and CS-VIBE (83%) achieved a higher lung nodule detection rate than conventional VIBE (53%). Specifically, the nodule detection rate for spiral UTE and CS-VIBE reached 95% and 100% for nodules >8 and >10 mm, respectively. A 90% detection rate was achieved for nodules of all sizes with a part-solid or solid morphology. Spiral UTE and CS-VIBE under-estimated the nodule size by 0.2 ± 1.4 mm with 95% limits of agreement from −2.6 to 2.9 mm and by 0.2 ± 1.7 mm with 95% limits of agreement from −3.3 to 3.5 mm, respectively, compared to the reference CT. In conclusion, chest CT remains the gold standard for lung nodule detection due to its high image resolutions. Both spiral UTE and CS-VIBE MRI could detect small lung nodules requiring surgery and could be considered a potential alternative to chest CT; however, their clinical application requires further investigation.
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Affiliation(s)
- Mandeep Garg
- Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Nidhi Prabhakar
- Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Sahajal Dhooria
- Department of Pulmonary Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Saurav Lamichhane
- Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research, Chandigarh, India
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12
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Pecoraro M, Cipollari S, Marchitelli L, Messina E, Del Monte M, Galea N, Ciardi MR, Francone M, Catalano C, Panebianco V. Cross-sectional analysis of follow-up chest MRI and chest CT scans in patients previously affected by COVID-19. Radiol Med 2021; 126:1273-1281. [PMID: 34251585 PMCID: PMC8274263 DOI: 10.1007/s11547-021-01390-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Accepted: 06/15/2021] [Indexed: 02/06/2023]
Abstract
Purpose The aim of the study was to prospectively evaluate the agreement between chest magnetic resonance imaging (MRI) and computed tomography (CT) and to assess the diagnostic performance of chest MRI relative to that of CT during the follow-up of patients recovered from coronavirus disease 2019. Materials and methods Fifty-two patients underwent both follow-up chest CT and MRI scans, evaluated for ground-glass opacities (GGOs), consolidation, interlobular septal thickening, fibrosis, pleural indentation, vessel enlargement, bronchiolar ectasia, and changes compared to prior CT scans. DWI/ADC was evaluated for signal abnormalities suspicious for inflammation. Agreement between CT and MRI was assessed with Cohen’s k and weighted k. Measures of diagnostic accuracy of MRI were calculated. Results The agreement between CT and MRI was almost perfect for consolidation (k = 1.00) and change from prior CT (k = 0.857); substantial for predominant pattern (k = 0.764) and interlobular septal thickening (k = 0.734); and poor for GGOs (k = 0.339), fibrosis (k = 0.224), pleural indentation (k = 0.231), and vessel enlargement (k = 0.339). Meanwhile, the sensitivity of MRI was high for GGOs (1.00), interlobular septal thickening (1.00), and consolidation (1.00) but poor for fibrotic changes (0.18), pleural indentation (0.23), and vessel enlargement (0.50) and the specificity was overall high. DWI was positive in 46.0% of cases. Conclusions The agreement between MRI and CT was overall good. MRI was very sensitive for GGOs, consolidation and interlobular septal thickening and overall specific for most findings. DWI could be a reputable imaging biomarker of inflammatory activity.
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Affiliation(s)
- Martina Pecoraro
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy
| | - Stefano Cipollari
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy
| | - Livia Marchitelli
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy
| | - Emanuele Messina
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy
| | - Maurizio Del Monte
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy
| | - Nicola Galea
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy
| | - Maria Rosa Ciardi
- Department of Public Health and Infectious Disease, Sapienza/Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy
| | - Marco Francone
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy
| | - Carlo Catalano
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy
| | - Valeria Panebianco
- Department of Radiological Sciences, Oncology and Pathology, Sapienza/Policlinico Umberto I, Viale Regina Elena 324, 00161, Rome, Italy. .,Università degli Studi di Roma La Sapienza, Rome, Italy.
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Calandriello L, D'Abronzo R, Pasciuto G, Cicchetti G, Del Ciello A, Farchione A, Strappa C, Manfredi R, Larici AR. Novelties in Imaging of Thoracic Sarcoidosis. J Clin Med 2021; 10:2222. [PMID: 34063811 DOI: 10.3390/jcm10112222] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/14/2021] [Accepted: 05/19/2021] [Indexed: 01/14/2023] Open
Abstract
Sarcoidosis is a systemic granulomatous disease affecting various organs, and the lungs are the most commonly involved. According to guidelines, diagnosis relies on a consistent clinical picture, histological demonstration of non-caseating granulomas, and exclusion of other diseases with similar histological or clinical picture. Nevertheless, chest imaging plays an important role in both diagnostic assessment, allowing to avoid biopsy in some situations, and prognostic evaluation. Despite the demonstrated lower sensitivity of chest X-ray (CXR) in the evaluation of chest findings compared to high-resolution computed tomography (HRCT), CXR still retains a pivotal role in both diagnostic and prognostic assessment in sarcoidosis. Moreover, despite the huge progress made in the field of radiation dose reduction, chest magnetic resonance (MR), and quantitative imaging, very little research has focused on their application in sarcoidosis. In this review, we aim to describe the latest novelties in diagnostic and prognostic assessment of thoracic sarcoidosis and to identify the fields of research that require investigation.
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14
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de Paula WD. Editorial for "Quantification of magnetic resonance imaging T2 interstitial lung disease signal intensity volume in idiopathic pulmonary fibrosis: A pilot study". J Magn Reson Imaging 2020; 53:1508-1509. [PMID: 33345365 DOI: 10.1002/jmri.27484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 12/08/2020] [Indexed: 11/07/2022] Open
Affiliation(s)
- Wagner D de Paula
- Diagnostic Imaging Unit, Brasilia University Hospital, University of Brasilia, Brasilia, Brazil
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Affiliation(s)
- Pierluigi Ciet
- Radiology and Nuclear Medicine, Erasmus MC - Sophia Children's Hospital, Rotterdam, Zuid-Holland, Netherlands .,Pediatric Pulmonology, Erasmus MC - Sophia Children's Hospital, Rotterdam, Zuid-Holland, Netherlands
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16
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Benlala I, Albat A, Blanchard E, Macey J, Raherison C, Benkert T, Berger P, Laurent F, Dournes G. Quantification of MRI T2 Interstitial Lung Disease Signal-Intensity Volume in Idiopathic Pulmonary Fibrosis: A Pilot Study. J Magn Reson Imaging 2020; 53:1500-1507. [PMID: 33241628 DOI: 10.1002/jmri.27454] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/12/2020] [Accepted: 11/13/2020] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Imaging has played a pivotal role in the diagnosis of idiopathic pulmonary fibrosis (IPF). Recent reports suggest that T2 -weighted MRI could be sensitive to monitor signal-intensity modifications of the lung parenchyma, which may relate to the disease activity in IPF. However, there is a lack of automated tools to reproducibly quantify the extent of the disease, especially using MRI. PURPOSE To assess the feasibility of T2 interstitial lung disease signal-intensity volume quantification using a semiautomated method in IPF. STUDY TYPE Single center, retrospective. POPULATION A total of 21 adult IPF patients and four control subjects without lung interstitial abnormalities. FIELD STRENGTH/SEQUENCE Both free-breathing ultrashort echo time (TE) lung MRI using the spiral volume interpolated breath hold examination (VIBE) sequence (3D-UTE) and T2 -BLADE at 1.5T. ASSESSMENT Semiautomated segmentation of the lung volume was done using 3D-UTE and registered to the T2 -BLADE images. The interstitial lung disease signal-intensity volume (ISIV) was quantified using a Gaussian mixture model clustering and then normalized to the lung volume to calculate T2 -ISIV. The composite physiological index (CPI) and forced vital capacity (FVC) were measured as known biomarkers of IPF severity. Measurements were performed independently by three readers and averaged. The reproducibility between measurements was also assessed. STATISTICAL TESTS Reproducibility was assessed using the intraclass correlation coefficient (ICC) and Bland-Altman analysis. Correlations were assessed using Spearman test. Comparison of median was assessed using the Mann-Whitney test. RESULTS The reproducibility of T2 -ISIV was high, with ICCs = 0.99. Using Bland-Altman analysis, the mean differences were found between -0.8 to 0.1. T2 -ISIV significantly correlated with CPI and FVC (rho = 0.48 and 0.50, respectively; P < 0.05). T2 -ISIV was significantly higher in IPF than in controls (P < 0.05). DATA CONCLUSION T2 -ISIV appears to be able to reproducibly assess the volumetric extent of abnormal interstitial lung signal-intensity modifications in patients with IPF, and correlate with disease severity. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY STAGE: 1.
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Affiliation(s)
- Ilyes Benlala
- Centre de Recherche Cardio-Thoracique de Bordeaux, Univ. Bordeaux, INSERM U1045, CIC 1401, Bordeaux, France.,CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Unité de Pneumologie Pédiatrique, CIC 1401, Pessac, France
| | - Agnes Albat
- CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Unité de Pneumologie Pédiatrique, CIC 1401, Pessac, France
| | - Elodie Blanchard
- CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Unité de Pneumologie Pédiatrique, CIC 1401, Pessac, France
| | - Julie Macey
- Centre de Recherche Cardio-Thoracique de Bordeaux, Univ. Bordeaux, INSERM U1045, CIC 1401, Bordeaux, France.,CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Unité de Pneumologie Pédiatrique, CIC 1401, Pessac, France
| | - Chantal Raherison
- CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Unité de Pneumologie Pédiatrique, CIC 1401, Pessac, France.,Bordeaux Population Health Research Center, Univ. Bordeaux, INSERM, Team EPICENE, UMR 1219, Bordeaux, France
| | - Thomas Benkert
- Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Patrick Berger
- Centre de Recherche Cardio-Thoracique de Bordeaux, Univ. Bordeaux, INSERM U1045, CIC 1401, Bordeaux, France.,CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Unité de Pneumologie Pédiatrique, CIC 1401, Pessac, France
| | - François Laurent
- Centre de Recherche Cardio-Thoracique de Bordeaux, Univ. Bordeaux, INSERM U1045, CIC 1401, Bordeaux, France.,CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Unité de Pneumologie Pédiatrique, CIC 1401, Pessac, France
| | - Gaël Dournes
- Centre de Recherche Cardio-Thoracique de Bordeaux, Univ. Bordeaux, INSERM U1045, CIC 1401, Bordeaux, France.,CHU de Bordeaux, Service d'Imagerie Thoracique et Cardiovasculaire, Service des Maladies Respiratoires, Service d'Exploration Fonctionnelle Respiratoire, Unité de Pneumologie Pédiatrique, CIC 1401, Pessac, France
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Murray A, Gow AJ, Venosa A, Andres J, Malaviya R, Adler D, Yurkow E, Laskin JD, Laskin DL. Assessment of mustard vesicant lung injury and anti-TNF-α efficacy in rodents using live-animal imaging. Ann N Y Acad Sci 2020; 1480:246-256. [PMID: 33165947 DOI: 10.1111/nyas.14525] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 10/13/2020] [Accepted: 10/13/2020] [Indexed: 01/17/2023]
Abstract
Nitrogen mustard (NM) causes acute lung injury, which progresses to fibrosis. This is associated with a macrophage-dominant inflammatory response and the production of proinflammatory/profibrotic mediators, including tumor necrosis factor alpha (TNF-α). Herein, we refined magnetic resonance imaging (MRI) and computed tomography (CT) imaging methodologies to track the progression of NM-induced lung injury in rodents and assess the efficacy of anti-TNF-α antibody in mitigating toxicity. Anti-TNF-α antibody was administered to rats (15 mg/kg, every 8 days, intravenously) beginning 30 min after treatment with phosphate-buffered saline control or NM (0.125 mg/kg, intratracheally). Animals were imaged by MRI and CT prior to exposure and 1-28 days postexposure. Using MRI, we characterized acute lung injury and fibrosis by quantifying high-signal lung volume, which represents edema, inflammation, and tissue consolidation; these pathologies were found to persist for 28 days following NM exposure. CT scans were used to assess structural components of the lung and to register changes in tissue radiodensities. CT scans showed that in control animals, total lung volume increased with time. Treatment of rats with NM caused loss of lung volume; anti-TNF-α antibody mitigated this decrease. These studies demonstrate that MRI and CT can be used to monitor lung disease and the impact of therapeutic intervention.
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Affiliation(s)
- Alexa Murray
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey
| | - Andrew J Gow
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey
| | - Alessandro Venosa
- Department of Pharmacology and Toxicology, University of Utah, Salt Lake City, Utah
| | - Jaclynn Andres
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey
| | - Rama Malaviya
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey
| | - Derek Adler
- Molecular Imaging Center, Rutgers University, Piscataway, New Jersey
| | - Edward Yurkow
- Molecular Imaging Center, Rutgers University, Piscataway, New Jersey
| | - Jeffrey D Laskin
- Department of Environmental and Occupational Health, School of Public Health, Rutgers University, Piscataway, New Jersey
| | - Debra L Laskin
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey
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Gargani L, Bruni C, De Marchi D, Romei C, Guiducci S, Bellando-Randone S, Aquaro GD, Pepe A, Neri E, Colagrande S, Falaschi F, Moggi-Pignone A, Pingitore A, Matucci-Cerinic M. Lung magnetic resonance imaging in systemic sclerosis: a new promising approach to evaluate pulmonary involvement and progression. Clin Rheumatol 2020; 40:1903-1912. [PMID: 33161470 DOI: 10.1007/s10067-020-05491-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 10/24/2020] [Accepted: 10/29/2020] [Indexed: 12/29/2022]
Abstract
INTRODUCTION/OBJECTIVES Interstitial lung disease (ILD) is frequent and highly disabling in systemic sclerosis (SSc). Magnetic resonance imaging (MRI) is not routinely used to evaluate the lung, due to poorer spatial resolution compared to high-resolution computed tomography (HRCT). We aimed to compare lung MRI signal with HRCT and evaluate the role of MRI in predicting ILD progression. METHODS Thirty SSc patients underwent lung MRI and HRCT. STIR and T1 mapping sequences were acquired before and after gadolinium injection. Patients were classified as normal (group 1 with normal HRCT and MRI), discordant (group 2 without ILD signs on HRCT but areas of hyperintensity on MRI), and abnormal (group 3 with ILD signs on HRCT and areas of hyperintensity on MRI). Patients were followed up for ILD progression. RESULTS Mean STIR and T1 values were different between the three groups (p < 0.0001). STIR values correlated with HRCT score (R = 0.79, p < 0.0001), lung ultrasound B-lines (R = 0.73, p < 0.0001), and %DLco (R = - 0.63, p = 0.0001). Nine events were recorded during a follow-up of 25 ± 20 months. Continuous STIR values were independently associated with events (HR 1.018; CI 1.005-1.031, p = 0.005). A STIR value >90 ms discriminated patients at a higher risk of worsening pulmonary involvement (HR 8.80; CI 1.81-42.74; p < 0.007). CONCLUSIONS Lung MRI can detect SSc-related ILD, with good correlations with other ILD markers. STIR values, independently of HRCT appearance, may predict worsening lung involvement. Lung MRI, although very preliminary, is a promising tool that in a near future could help selecting patients for an early treatment of SSc-related ILD and a more appropriate use of HRCT. Key points • Lung MRI has the potential to differentiate inflammation-predominant versus fibrosis-predominant lesions, but it is not currently used in routine clinical practice to assess SSc-related ILD. • Lung MRI STIR and T1 values are significantly different between patients with and without SSc-related ILD. STIR values, independently of HRCT appearance, are also able to predict worsening lung involvement over time. • These preliminary data suggest that, in a near future, MRI could support the choice for an early treatment of SSc-related ILD, as well as a more appropriate use of HRCT.
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Affiliation(s)
- Luna Gargani
- Institute of Clinical Physiology, National Research Council, Via Moruzzi, 1, 56124, Pisa, Italy.
| | - Cosimo Bruni
- Department of Experimental and Clinical Medicine, Department of Geriatric Medicine, Division of Rheumatology AOUC, University of Florence, Florence, Italy
| | - Daniele De Marchi
- Department of Magnetic Resonance, Fondazione Toscana G. Monasterio, Pisa, Italy
| | - Chiara Romei
- II Radiology Unit, University Hospital of Pisa, Pisa, Italy
| | - Serena Guiducci
- Department of Experimental and Clinical Medicine, Department of Geriatric Medicine, Division of Rheumatology AOUC, University of Florence, Florence, Italy
| | - Silvia Bellando-Randone
- Department of Experimental and Clinical Medicine, Department of Geriatric Medicine, Division of Rheumatology AOUC, University of Florence, Florence, Italy
| | | | - Alessia Pepe
- Department of Magnetic Resonance, Fondazione Toscana G. Monasterio, Pisa, Italy
| | - Emanuele Neri
- Diagnostic and Interventional Radiology, Department of Translational Research, University of Pisa, Pisa, Italy
| | - Stefano Colagrande
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Fabio Falaschi
- II Radiology Unit, University Hospital of Pisa, Pisa, Italy
| | - Alberto Moggi-Pignone
- Department of Experimental and Clinical Medicine, Department of Emergency Medicine DEA, Division of Internal Medicine AOUC, University of Florence, Florence, Italy
| | - Alessandro Pingitore
- Institute of Clinical Physiology, National Research Council, Via Moruzzi, 1, 56124, Pisa, Italy
| | - Marco Matucci-Cerinic
- Department of Experimental and Clinical Medicine, Department of Geriatric Medicine, Division of Rheumatology AOUC, University of Florence, Florence, Italy
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Mushtaq R, Jayagurunathan U, Arif-tiwari H, Yaddanapudi K. Pulmonary MRI: Applications and Use Cases. Curr Pulmonol Rep 2020; 9:131-42. [DOI: 10.1007/s13665-020-00257-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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20
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de Paula WD, Rodrigues MP, Ferreira NMC, Passini VV, Melo-Silva CA. Lung MRI to predict response or lack of response to treatment in interstitial lung disease: initial observations on SSFSE/PROPELLER T2 match/mismatch. Expert Rev Respir Med 2020; 15:285-292. [PMID: 32993387 DOI: 10.1080/17476348.2020.1828070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND Ground-glass opacities (GGO) are frequently found in interstitial lung diseases (ILD) and may represent either active inflammation or subresolution interstitial fibrosis. We sought to investigate the ability of lung MRI to predict treatment response in individuals with ILD presenting with predominant GGO. Methods: prospective cohort, 15 participants presenting with ILD manifested as predominant GGO and referred for a new treatment regimen with a systemic glucocorticoid and/or an immunosuppressive agent, underwent 1.5 T lung MRI. SSFSE/PROPELLER T2 mismatch sign, relative signal intensity on T2-weighted images and relative enhancement of lung lesions were compared to functional response, defined as a greater than 10% increase in forced vital capacity in 10 weeks (primary endpoint). RESULTS SSFSE/PROPELLER T2 match/mismatch was able to discriminate responders from nonresponders for the primary endpoint in 12 of 15 participants (80% accuracy, p = 0.026) for readers 1 and 2, and in 13 of 15 participants (87% accuracy, p = 0.011) for reader 3, with interrater agreement of 87% between readers 1 and 2 (Cohen's kappa coefficient of 0.732) and 93% between readers 1/2 and 3 (Cohen's kappa coefficient of 0.865). CONCLUSIONS SSFSE-PROPELLER T2 match/mismatch was predictive of treatment response status in this group of ILD patients. Abbreviations FVC: forced vital capacityGGO; ground-glass opacities; HRCT: High-Resolution Computed Tomography; ILD: interstitial lung disease; LAVA: Liver Acquisition with Volume Acceleration; mMRC: modified Medical Research Council dyspnea score; MRI: Magnetic Resonance Image; PROPELLER: Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction; SI: signal intensity; SSFSE: Single-Shot Fast Spin Echo.
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Affiliation(s)
- Wagner Diniz de Paula
- Department of Radiology, University Hospital of the University of Brasilia School of Medicine , Brasília, Brazil
| | - Marcelo Palmeira Rodrigues
- Department of Pulmonology, University Hospital of the University of Brasilia School of Medicine , Brasília, Brazil
| | | | - Viviane Vieira Passini
- Department of Pulmonology, University Hospital of the University of Brasilia School of Medicine , Brasília, Brazil
| | - César Augusto Melo-Silva
- Department of Pulmonology, University Hospital of the University of Brasilia School of Medicine , Brasília, Brazil
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Della Valle V, Donadieu J, Sileo C, Barkaoui MA, Héritier S, Brisse H, Boutry N, Tréguier C, Chateil JF, Petit P, Pracros JP, Chastagner P, Boyer C, Veillon F, Durand C, Mounayer C, Kambouchner M, Brauner M, Tazi A, Epaud R, Ducou le Pointe H. Chest computed tomography findings for a cohort of children with pulmonary Langerhans cell histiocytosis. Pediatr Blood Cancer 2020; 67:e28496. [PMID: 32710685 DOI: 10.1002/pbc.28496] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 05/19/2020] [Accepted: 05/25/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVE This study was undertaken to describe the spectrum of lung computed-tomography (CT) findings in children with pulmonary Langerhans cell histiocytosis (PLCH) and to evaluate for this population the CT-scan nodule and cyst scores proposed by adult pulmonologists at diagnosis and during follow-up. METHODS Among 175 children with PLCH identified in the French national population-based Langerhans cell histiocytosis cohort, 60 were retrospectively selected by the availability of CT for a central review by three pediatric radiologists. These 60 patients are representative of childhood PLCH for almost all clinical aspects, except a lower percentage of risk organ involvement (38% vs 54%; P = 0.05). RESULTS The 60 children's chest CT scans (n = 218) were reviewed. At diagnosis, 63% of them had nodules, 53% had cysts, and 29% had both. The percentages of patients with nodules or cysts increased from diagnosis to peak disease activity, respectively, from 63% to 73% and from 53% to 66%. The costophrenic angle was involved in 71%. Patients with pneumothorax (25%) had a higher median cyst score. Alveolar consolidation was observed in 34%. Patients with low CT-scan nodule and cyst scores had no long-term pulmonary sequelae. CONCLUSIONS Well-known characteristics of adult PLCH (nodules and cysts) were observed in children. The chest CT scores proposed by adult pulmonologists could easily be applied to childhood PLCH. Lesions in children, unlike those in adults, are frequently located near the costophrenic angles. Alveolar consolidation might be considered an atypical feature of childhood PLCH.
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Affiliation(s)
- Valeria Della Valle
- Pediatric Radiology Department, Assistance Publique-Hopitaux de Paris (APHP), Trousseau Hospital, Paris, France.,Sorbonne Université, Paris, France
| | - Jean Donadieu
- French Referral Center for Langerhans' Cell Histiocytosis, APHP, Trousseau Hospital, Paris, France
| | - Chiara Sileo
- Pediatric Radiology Department, Assistance Publique-Hopitaux de Paris (APHP), Trousseau Hospital, Paris, France
| | - Mohamed Aziz Barkaoui
- French Referral Center for Langerhans' Cell Histiocytosis, APHP, Trousseau Hospital, Paris, France
| | - Sébastien Héritier
- French Referral Center for Langerhans' Cell Histiocytosis, APHP, Trousseau Hospital, Paris, France
| | - Hervé Brisse
- Radiology Department, Institut Curie, Paris, France
| | - Nathalie Boutry
- Radiology Department, Jeanne-de-Flandre Hospital (CHRU), Lille, France
| | | | | | - Philippe Petit
- Radiology Department, La Timone Hospital (APHM), Marseille, France
| | | | | | - Corinne Boyer
- Radiology Department, L'Archet Hospital (CHU), Nice, France
| | - Francis Veillon
- Radiology Department, Hautepierre Hospital (CHU), Strasbourg, France
| | - Chantal Durand
- Radiology Department, Couple Enfant Hospital (CHU), Grenoble, France
| | | | | | - Michel Brauner
- Radiology Department, APHP, Avicennes Hospital, Bobigny, France
| | - Abdellatif Tazi
- Pneumology Department, French Referral Center for Langerhans Cell Histiocytosis, APHP, Trousseau Hospital, Paris, France
| | - Ralp Epaud
- Service de Pédiatrie Générale, Centre Hospitalier Intercommunal, Creteil, France
| | - Hubert Ducou le Pointe
- Pediatric Radiology Department, Assistance Publique-Hopitaux de Paris (APHP), Trousseau Hospital, Paris, France.,Sorbonne Université, Paris, France
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22
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Ruano CA, Grafino M, Borba A, Pinheiro S, Fernandes O, Silva SC, Bilhim T, Moraes-Fontes MF, Irion KL. Multimodality imaging in connective tissue disease-related interstitial lung disease. Clin Radiol 2020; 76:88-98. [PMID: 32868089 DOI: 10.1016/j.crad.2020.07.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 07/28/2020] [Indexed: 11/18/2022]
Abstract
Interstitial lung disease is a well-recognised manifestation and a major cause of morbidity and mortality in patients with connective tissue diseases. Interstitial lung disease may arise in the context of an established connective tissue disease or be the initial manifestation of an otherwise occult autoimmune disorder. Early detection and characterisation are paramount for adequate patient management and require a multidisciplinary approach, in which imaging plays a vital role. Computed tomography is currently the imaging method of choice; however, other imaging techniques have recently been investigated, namely ultrasound, magnetic resonance imaging, and positron-emission tomography, with promising results. The aim of this review is to describe the imaging findings of connective tissue disease-related interstitial lung disease and explain the role of each imaging technique in diagnosis and disease characterisation.
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Affiliation(s)
- C A Ruano
- Radiology Department, Hospital de Santa Marta, Centro Hospitalar Universitário de Lisboa Central, Lisboa, Portugal; Radiology Department, Hospital da Luz, Lisboa, Portugal; NOVA Medical School, Universidade Nova de Lisboa, Lisboa, Portugal.
| | - M Grafino
- Pulmonology Department, Hospital da Luz, Lisboa, Portugal
| | - A Borba
- Pulmonology Department, Hospital de Santa Marta, Centro Hospitalar Universitário de Lisboa Central, Lisboa, Portugal
| | - S Pinheiro
- Autoimmune Disease Unit, Unidade de Doenças Auto-imunes/Serviço Medicina 3, Hospital de Santo António dos Capuchos, Centro Hospitalar Universitário de Lisboa Central, Lisboa, Portugal
| | - O Fernandes
- Radiology Department, Hospital de Santa Marta, Centro Hospitalar Universitário de Lisboa Central, Lisboa, Portugal; Radiology Department, Hospital da Luz, Lisboa, Portugal
| | - S C Silva
- Radiology Department, Hospital de São José, Centro Hospitalar Universitário de Lisboa Central, Lisboa, Portugal
| | - T Bilhim
- NOVA Medical School, Universidade Nova de Lisboa, Lisboa, Portugal; Interventional Radiology Unit, Hospital Curry Cabral, Centro Hospitalar Universitário de Lisboa Central, Lisboa, Portugal
| | - M F Moraes-Fontes
- Autoimmune Disease Unit, Unidade de Doenças Auto-imunes/Serviço Medicina 7.2, Hospital Curry Cabral, Centro Hospitalar Universitário de Lisboa Central, Lisboa, Portugal
| | - K L Irion
- Radiology Department, Manchester Royal Infirmary, Manchester, United Kingdom; University of Manchester, Division of Infection Immunity & Respiratory Medicine, School of Biological Sciences, Manchester, United Kingdom
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23
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Wolf M, Montesi SB. Novel Imaging Strategies in Systemic Sclerosis. Curr Rheumatol Rep 2020; 22:57. [PMID: 32785794 DOI: 10.1007/s11926-020-00926-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
PURPOSE OF REVIEW Imaging modalities such as computed tomography, ultrasound, magnetic resonance imaging, and molecular imaging are being used to evaluate for disease in systemic sclerosis (SSc) patients. Here, we review novel imaging strategies to detect organ and vascular complications of SSc and novel imaging techniques for assessing interstitial lung disease and pulmonary hypertension in other conditions that may have further applicability to SSc. RECENT FINDINGS Imaging techniques can be used to identify disease in the lungs, pulmonary vascular system, heart, skin, vascular tissue, and gastrointestinal tract of SSc patients. These show promise in detecting early disease, many without the use of ionizing radiation. Novel imaging techniques in patients with SSc can be used to detect disease in multiple susceptible organs. These imaging strategies have potential for early disease detection, as well as potential for incorporation into clinical trials to accelerate the development of SSc therapies.
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Affiliation(s)
- Molly Wolf
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, 55 Fruit Street, BUL-148, Boston, MA, 02116, USA.,Harvard Medical School, Boston, MA, USA
| | - Sydney B Montesi
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, 55 Fruit Street, BUL-148, Boston, MA, 02116, USA. .,Harvard Medical School, Boston, MA, USA.
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24
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Jablonski R, Bhorade S, Strek ME, Dematte J. Recognition and Management of Myositis-Associated Rapidly Progressive Interstitial Lung Disease. Chest 2020; 158:252-263. [PMID: 32059958 DOI: 10.1016/j.chest.2020.01.033] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 01/07/2020] [Accepted: 01/22/2020] [Indexed: 01/30/2023] Open
Abstract
Idiopathic inflammatory myopathies are autoimmune processes that are characterized by skeletal muscle inflammation. The lung is the most commonly involved extramuscular organ, and, when present, pulmonary disease drives morbidity and mortality. A subset of patients can present with rapidly progressive hypoxemic respiratory failure due to myositis-related interstitial lung disease. Confirmatory autoantibody testing requires sending samples to a reference laboratory; thus, diagnosis of rapidly progressive myositis-associated interstitial lung disease relies on a high index of suspicion and careful history and physical examination. Although the cornerstone of therapy for these patients remains multimodality immunosuppression, emerging data support a role for advanced therapies (including extracorporeal membrane oxygenation and lung transplantation) in appropriately selected patients. It is hoped that greater awareness of the clinical features of this syndrome will allow for appropriate diagnosis and treatment of these potentially treatable patients, as well as raise awareness of the need for multicenter collaboration to prospectively study how to manage this complex disease.
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Affiliation(s)
- Renea Jablonski
- Department of Medicine, Section of Pulmonary and Critical Care Medicine, University of Chicago, Chicago, IL.
| | - Sangeeta Bhorade
- Veracyte, San Francisco, CA; Department of Medicine, Division of Pulmonary and Critical Care, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Mary E Strek
- Department of Medicine, Section of Pulmonary and Critical Care Medicine, University of Chicago, Chicago, IL
| | - Jane Dematte
- Department of Medicine, Division of Pulmonary and Critical Care, Northwestern University Feinberg School of Medicine, Chicago, IL
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25
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Giraudo C, Evangelista L, Fraia AS, Lupi A, Quaia E, Cecchin D, Casali M. Molecular Imaging of Pulmonary Inflammation and Infection. Int J Mol Sci 2020; 21:ijms21030894. [PMID: 32019142 PMCID: PMC7037834 DOI: 10.3390/ijms21030894] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 01/27/2020] [Accepted: 01/28/2020] [Indexed: 12/14/2022] Open
Abstract
Infectious and inflammatory pulmonary diseases are a leading cause of morbidity and mortality worldwide. Although infrequently used in this setting, molecular imaging may significantly contribute to their diagnosis using techniques like single photon emission tomography (SPET), positron emission tomography (PET) with computed tomography (CT) or magnetic resonance imaging (MRI) with the support of specific or unspecific radiopharmaceutical agents. 18F-Fluorodeoxyglucose (18F-FDG), mostly applied in oncological imaging, can also detect cells actively involved in infectious and inflammatory conditions, even if with a low specificity. SPET with nonspecific (e.g., 67Gallium-citrate (67Ga citrate)) and specific tracers (e.g., white blood cells radiolabeled with 111Indium-oxine (111In) or 99mTechnetium (99mTc)) showed interesting results for many inflammatory lung diseases. However, 67Ga citrate is unfavorable by a radioprotection point of view while radiolabeled white blood cells scan implies complex laboratory settings and labeling procedures. Radiolabeled antibiotics (e.g., ciprofloxacin) have been recently tested, although they seem to be quite unspecific and cause antibiotic resistance. New radiolabeled agents like antimicrobic peptides, binding to bacterial cell membranes, seem very promising. Thus, the aim of this narrative review is to provide a comprehensive overview about techniques, including PET/MRI, and tracers that can guide the clinicians in the appropriate diagnostic pathway of infectious and inflammatory pulmonary diseases.
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Affiliation(s)
- Chiara Giraudo
- Department of Medicine-DIMED,Institute of Radiology, University of Padova, 35100 Padova, Italy; (A.S.F.); (A.L.); (E.Q.)
- Correspondence: ; Tel.: +39-049-821-2357; Fax: +39-049-821-1878
| | - Laura Evangelista
- Nuclear Medicine Unit, Department of Medicine-DIMED, University of Padova, 35128 Padova, Italy; (L.E.); (D.C.)
| | - Anna Sara Fraia
- Department of Medicine-DIMED,Institute of Radiology, University of Padova, 35100 Padova, Italy; (A.S.F.); (A.L.); (E.Q.)
| | - Amalia Lupi
- Department of Medicine-DIMED,Institute of Radiology, University of Padova, 35100 Padova, Italy; (A.S.F.); (A.L.); (E.Q.)
| | - Emilio Quaia
- Department of Medicine-DIMED,Institute of Radiology, University of Padova, 35100 Padova, Italy; (A.S.F.); (A.L.); (E.Q.)
| | - Diego Cecchin
- Nuclear Medicine Unit, Department of Medicine-DIMED, University of Padova, 35128 Padova, Italy; (L.E.); (D.C.)
- Padova Neuroscience Center (PNC), University of Padova, 35131 Padova, Italy
| | - Massimiliano Casali
- Azienda Unità Sanitaria Locale–IRCCS di Reggio Emilia, 42121 Reggio Emilia, Italy;
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26
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Hirsch FW, Sorge I, Vogel-Claussen J, Roth C, Gräfe D, Päts A, Voskrebenzev A, Anders RM. The current status and further prospects for lung magnetic resonance imaging in pediatric radiology. Pediatr Radiol 2020; 50:734-749. [PMID: 31996938 PMCID: PMC7150663 DOI: 10.1007/s00247-019-04594-z] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 10/08/2019] [Accepted: 11/28/2019] [Indexed: 12/19/2022]
Abstract
Lung MRI makes it possible to replace up to 90% of CT examinations with radiation-free magnetic resonance diagnostics of the lungs without suffering any diagnostic loss. The individual radiation exposure can thus be relevantly reduced. This applies in particular to children who repeatedly require sectional imaging of the lung, e.g., in tumor surveillance or in chronic lung diseases such as cystic fibrosis. In this paper we discuss various factors that favor the establishment of lung MRI in the clinical setting. Among the many sequences proposed for lung imaging, respiration-triggered T2-W turbo spin-echo (TSE) sequences have been established as a good standard for children. Additional sequences are mostly dispensable. The most important pulmonary findings are demonstrated here in the form of a detailed pictorial essay. T1-weighted gradient echo sequences with ultrashort echo time are a new option. These sequences anticipate signal loss in the lung and deliver CT-like images with high spatial resolution. When using self-gated T1-W ultrashort echo time 3-D sequences that acquire iso-voxel geometry in the sub-millimeter range, secondary reconstructions are possible.
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Affiliation(s)
- Franz Wolfgang Hirsch
- Department of Pediatric Radiology, University of Leipzig, Liebigstraße 20a, 04103, Leipzig, Germany.
| | - Ina Sorge
- Department of Pediatric Radiology, University of Leipzig, Liebigstraße 20a, 04103, Leipzig, Germany
| | - Jens Vogel-Claussen
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, 30625, Hannover, Germany
- Biomedical Research in End-stage and Obstructive Lung Disease Hannover (BREATH), German Centre for Lung Research, 30625, Hannover, Germany
| | - Christian Roth
- Department of Pediatric Radiology, University of Leipzig, Liebigstraße 20a, 04103, Leipzig, Germany
| | - Daniel Gräfe
- Department of Pediatric Radiology, University of Leipzig, Liebigstraße 20a, 04103, Leipzig, Germany
| | - Anne Päts
- Department of Pediatric Radiology, University of Leipzig, Liebigstraße 20a, 04103, Leipzig, Germany
| | - Andreas Voskrebenzev
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, 30625, Hannover, Germany
- Biomedical Research in End-stage and Obstructive Lung Disease Hannover (BREATH), German Centre for Lung Research, 30625, Hannover, Germany
| | - Rebecca Marie Anders
- Department of Pediatric Radiology, University of Leipzig, Liebigstraße 20a, 04103, Leipzig, Germany
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27
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Fischer A, Patel NM, Volkmann ER. Interstitial Lung Disease in Systemic Sclerosis: Focus on Early Detection and Intervention. Open Access Rheumatol 2019; 11:283-307. [PMID: 31849543 PMCID: PMC6910104 DOI: 10.2147/oarrr.s226695] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2019] [Accepted: 11/09/2019] [Indexed: 12/11/2022] Open
Abstract
Systemic sclerosis (SSc) is a progressive and often devastating disease characterized by autoimmune dysfunction, vasculopathy, and fibrosis. Interstitial lung disease (ILD) is identified in the majority of patients with SSc and is the leading cause of SSc-related mortality. Although clinical manifestations and ILD severity vary among patients, lung function typically declines to the greatest extent during the first 3-4 years after disease onset. We aim to provide an overview of SSc-associated ILD (SSc-ILD) with a focus on current and emerging tools for early diagnosis of ILD and current and novel treatments under investigation. Early detection of ILD provides the opportunity for early therapeutic intervention, which could improve patient outcomes. Thoracic high-resolution computed tomography is the most effective method of identifying ILD in patients with SSc; it enables detection of mild lung abnormalities and plays an important role in monitoring disease progression. Cyclophosphamide and mycophenolate mofetil are the most commonly prescribed treatments for SSc-ILD. Recently, nintedanib (an antifibrotic) was approved by the Food and Drug Administration for patients with SSc-ILD; it is indicated for slowing the rate of decline in pulmonary function. However, there is a need for additional effective and well-tolerated disease-modifying therapy. Ongoing studies are evaluating other antifibrotics and novel agents. We envision that early detection of lung involvement, combined with the emergence and integration of novel therapies, will lead to improved outcomes in patients with SSc-ILD.
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Affiliation(s)
- Aryeh Fischer
- Division of Rheumatology, Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, University of Colorado School of Medicine, Denver, CO, USA
| | - Nina M Patel
- Division of Pulmonary, Allergy and Critical Care Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Elizabeth R Volkmann
- Division of Rheumatology, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
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Kapur S, Jana M, Gupta L, Bhalla AS, Naranje P, Gupta AK. Chest MRI Using Multivane-XD, a Novel T2-Weighted Free Breathing MR Sequence. Curr Probl Diagn Radiol 2019; 50:41-47. [PMID: 31383474 DOI: 10.1067/j.cpradiol.2019.07.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 07/04/2019] [Accepted: 07/08/2019] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To compare image quality of free-breathing T2-weighted MultiVane-XD (MVXD) sequence (non-Cartesian k-space filling using radial rectangular blades) with conventional MR sequences (short tau inversion recovery [STIR],balanced true field echo [BTFE], T1 in phase fast field echo [T1 FFE], and T1-fat saturated postgadolinium [T1PG]) in MR imaging of chest. MATERIALS AND METHODS Twenty-one patients (10 men and 11 women) underwent chest MRI including T2W MVXD, STIR, BTFE (18/21), T1 FFE, T1PG (10/21) sequences at 1.5 T. Two reviewers (A.S.B and M.J. with 20 and 10 years of experience in pulmonary imaging, respectively) evaluated each sequence with respect to overall image quality, image sharpness, definition of mediastinal vessels including the aorta, pulmonary arteries, superior vena cava, intrapulmonary vessels; trachea, main bronchi, intrapulmonary airways; lung-mediastinal interface, pulmonary lesion detection, and artefacts in the upper, middle, and lower third of chest using 5-point scales. No sedation was given. Pairwise comparisons between T2W MVXD and the 4 conventional sequences were made using unpaired student's t test. RESULTS Mean age of patients was 30.67 years (range: 6-60 years). T2 MVXD showed significantly better overall image quality and sharpness than STIR, T1 FFE, and T1PG (P < 0.01) while it was comparable to BTFE. Mediastinal vessels were significantly better visualized on T2 MVXD as compared to STIR and T1 (P < 0.003). However, BTFE and T1PG were superior to T2 MVXD for visualization of great vessels, SVC, and intrapulmonary vessels (P < 0.01). Visualization of trachea, major bronchi, intrapulmonary airways as well as intrapulmonary lesion detection was significantly better on T2 MVXD images in comparison to any of the other 4 sequences (P < 0.03). Intrapulmonary artifacts were significantly lesser in BTFE images as compared to T2 MVXD (P < 0.01). No significant difference was found between the severity of intrapulmonary artifacts in other MR sequences as compared to T2 MVXD. CONCLUSIONS By virtue of its better overall image quality, sharpness, superior visualization of mediastinal airways, and lesion detection, T2 MultiVane-XD promises to be a robust addition in the armamentarium of thoracic radiologists.
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Affiliation(s)
- Savinay Kapur
- Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Manisha Jana
- Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Lalit Gupta
- Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Ashu S Bhalla
- Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi 110029, India.
| | - Priyanka Naranje
- Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Arun K Gupta
- Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi 110029, India
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29
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Cinetto F, Scarpa R, Pulvirenti F, Quinti I, Agostini C, Milito C. Appropriate lung management in patients with primary antibody deficiencies. Expert Rev Respir Med 2019; 13:823-838. [PMID: 31361157 DOI: 10.1080/17476348.2019.1641085] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Introduction: Human primary immunodeficiency diseases (PIDs) include a broad spectrum of more than 350 disorders, involving different branches of the immune system and classified as 'rare diseases.' Predominantly antibody deficiencies (PADs) represent more than half of the PIDs diagnosed in Europe and are often diagnosed in the adulthood. Areas covered: Although PAD could first present with autoimmune or neoplastic features, respiratory infections are frequent and respiratory disease represents a relevant cause of morbidity and mortality. Pulmonary complications may be classified as infection-related (acute and chronic), immune-mediated, and neoplastic. Expert opinion: At present, no consensus guidelines are available on how to monitor and manage lung complications in PAD patients. In this review, we will discuss the available diagnostic, prognostic and therapeutic instruments and we will suggest an appropriate and evidence-based approach to lung diseases in primary antibody deficiencies. We will also highlight the possible role of promising new tools and strategies in the management of pulmonary complications. However, future studies are needed to reduce of diagnostic delay of PAD and to better understand lung diseases mechanisms, with the final aim to ameliorate therapeutic options that will have a strong impact on Quality of Life and long-term prognosis of PAD patients.
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Affiliation(s)
- Francesco Cinetto
- Department of Medicine - DIMED, University of Padova , Padova , Italy.,Internal Medicine I, Ca' Foncello Hospital , Treviso , Italy
| | - Riccardo Scarpa
- Department of Medicine - DIMED, University of Padova , Padova , Italy.,Internal Medicine I, Ca' Foncello Hospital , Treviso , Italy
| | - Federica Pulvirenti
- Department of Molecular Medicine, "Sapienza" University of Roma , Roma , Italy
| | - Isabella Quinti
- Department of Molecular Medicine, "Sapienza" University of Roma , Roma , Italy
| | - Carlo Agostini
- Department of Medicine - DIMED, University of Padova , Padova , Italy.,Internal Medicine I, Ca' Foncello Hospital , Treviso , Italy
| | - Cinzia Milito
- Department of Molecular Medicine, "Sapienza" University of Roma , Roma , Italy
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30
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Manchev L. Introductory Chapter: Magnetic Resonance Imaging in Internal Medicine. Magn Reson Imaging 2019. [DOI: 10.5772/intechopen.87102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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31
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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] [What about the content of this article? (0)] [Affiliation(s)] [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.
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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.
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