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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] [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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Ruano CA, Veiga J, Antunes N, Carvalho VB, Fernandes O, Borba A, Oliveira FPM, Moraes-Fontes MF, Bilhim T, Irion KL. Segmentation-Based Analysis of T2- and T1-Weighted Dynamic Magnetic Resonance Images Provides Adequate Observer Agreement in the Evaluation of Interstitial Lung Disease. J Comput Assist Tomogr 2024; 48:92-97. [PMID: 37551150 DOI: 10.1097/rct.0000000000001524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
OBJECTIVE The aim of the study is to quantify observer agreement in the magnetic resonance imaging (MRI) classification of inflammatory or fibrotic interstitial lung disease (ILD). METHODS Our study is a preliminary analysis of a larger prospective cohort. The MRI images of 18 patients with ILD (13 females; mean age, 65 years) were acquired in a 1.5 T scanner and included axial fat-saturated T2-weighted (T2-WI, n = 18) and coronal fat-saturated T1-weighted images before and 1, 3, 5, and 10 minutes after gadolinium administration (n = 16). The MRI studies were evaluated with 2 different methods: a qualitative evaluation (visual assessment and measurement of few regions of interest; evaluations were performed independently by 5 radiologists and 3 times by 1 radiologist) and a segmentation-based analysis with software extraction of signal intensity values (evaluations were performed independently by 2 radiologists and twice by 1 radiologist). Interstitial lung disease was classified as inflammatory or fibrotic, based on previously described imaging criteria. RESULTS Regarding the qualitative evaluation, intraobserver agreement was excellent (κ = 0.92, P < 0.05) for T2-WI and fair (κ = 0.29, P < 0.05) for T1 dynamic study, while interobserver agreement was moderate (κ = 0.56, P < 0.05) and poor (κ = 0.11, P = 0.18), respectively. In contrast, upon segmentation-based analysis, intraobserver and interobserver agreement were excellent for T2-WI (κ = 0.886, P < 0.001; κ = 1.00, P < 0.001; respectively); for T1-WI, intraobserver agreement was excellent (κ = 0.87, P < 0.05) and interobserver agreement was good (κ = 0.75, P < 0.05). CONCLUSIONS Segmentation-based MRI analysis is more reproducible than a qualitative evaluation with visual assessment and measurement of few regions of interest.
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Affiliation(s)
| | - José Veiga
- From the Department of Radiology, Hospital de Santa Marta, Centro Hospitalar Universitário de Lisboa Central
| | | | - Vera B Carvalho
- From the Department of Radiology, Hospital de Santa Marta, Centro Hospitalar Universitário de Lisboa Central
| | | | - Alexandra Borba
- Department of Pulmonology, Hospital de Santa Marta, Centro Hospitalar Universitário de Lisboa Central
| | | | | | - Tiago Bilhim
- Interventional Radiology Unit, Hospital Curry Cabral, Centro Hospitalar Universitário de Lisboa Central, Lisboa, Portugal
| | - Klaus L Irion
- Department of Radiology, College of Medicine, University of Florida, Gainesville, FL
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Scarpa R, Cinetto F, Milito C, Gianese S, Soccodato V, Buso H, Garzi G, Carrabba M, Messina E, Panebianco V, Catalano C, Morana G, Lougaris V, Landini N, Bondioni MP. Common and Uncommon CT Findings in CVID-Related GL-ILD: Correlations with Clinical Parameters, Therapeutic Decisions and Potential Implications in the Differential Diagnosis. J Clin Immunol 2023; 43:1903-1915. [PMID: 37548814 PMCID: PMC10661728 DOI: 10.1007/s10875-023-01552-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 07/11/2023] [Indexed: 08/08/2023]
Abstract
PURPOSE To investigate computed tomography (CT) findings of Granulomatous Lymphocytic Interstitial Lung Disease (GL-ILD) in Common Variable Immunodeficiency (CVID), also in comparison with non-GL-ILD abnormalities, correlating GL-ILD features with functional/immunological parameters and looking for GL-ILD therapy predictive elements. METHODS CT features of 38 GL-ILD and 38 matched non-GL-ILD subjects were retrospectively described. Correlations of GL-ILD features with functional/immunological features were assessed. A logistic regression was performed to find a predictive model of GL-ILD therapeutic decisions. RESULTS Most common GL-ILD CT findings were bronchiectasis, non-perilymphatic nodules, consolidations, Ground Glass Opacities (GGO), bands and enlarged lymphnodes. GL-ILD was usually predominant in lower fields. Multiple small nodules (≤10 mm), consolidations, reticulations and fibrotic ILD are more indicative of GL-ILD. Bronchiectasis, GGO, Reticulations and fibrotic ILD correlated with decreased lung performance. Bronchiectasis, GGO and fibrotic ILD were associated with low IgA levels, whereas high CD4+ T cells percentage was related to GGO. Twenty out of 38 patients underwent GL-ILD therapy. A model combining Marginal Zone (MZ) B cells percentage, IgA levels, lower field consolidations and lymphnodes enlargement showed a good discriminatory capacity with regards to GL-ILD treatment. CONCLUSIONS GL-ILD is a lower field predominant disease, commonly characterized by bronchiectasis, non-perilymphatic small nodules, consolidations, GGO and bands. Multiple small nodules, consolidations, reticulations and fibrotic ILD may suggest the presence of GL-ILD in CVID. MZ B cells percentage, IgA levels at diagnosis, lower field consolidations and mediastinal lymphnodes enlargement may predict the need of a specific GL-ILD therapy.
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Affiliation(s)
- Riccardo Scarpa
- Department of Medicine, DIMED, University of Padova, Padova, Italy
- Internal Medicine 1, Ca' Foncello University Hospital, AULSS2, Treviso, Italy
| | - Francesco Cinetto
- Department of Medicine, DIMED, University of Padova, Padova, Italy
- Internal Medicine 1, Ca' Foncello University Hospital, AULSS2, Treviso, Italy
| | - Cinzia Milito
- Department of Molecular Medicine, "Sapienza" University of Rome, Rome, Italy.
| | - Sabrina Gianese
- Department of Medicine, DIMED, University of Padova, Padova, Italy
- Internal Medicine 1, Ca' Foncello University Hospital, AULSS2, Treviso, Italy
| | - Valentina Soccodato
- Department of Molecular Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Helena Buso
- Department of Medicine, DIMED, University of Padova, Padova, Italy
- Internal Medicine 1, Ca' Foncello University Hospital, AULSS2, Treviso, Italy
| | - Giulia Garzi
- Department of Molecular Medicine, "Sapienza" University of Rome, Rome, Italy
| | - Maria Carrabba
- Internal Medicine Department, Rare Disease Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Emanuele Messina
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, "Sapienza" University, Rome, Italy
| | - Valeria Panebianco
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, "Sapienza" University, Rome, Italy
| | - Carlo Catalano
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, "Sapienza" University, Rome, Italy
| | - Giovanni Morana
- Department of Radiology, Ca' Foncello General Hospital, Treviso, Italy
| | - Vassilios Lougaris
- Department of Clinical and Experimental Sciences, Pediatrics Clinic and Institute for Molecular Medicine A. Nocivelli, University of Brescia, Brescia, Italy
- ASST-Spedali Civili di Brescia, Brescia, Italy
| | - Nicholas Landini
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, "Sapienza" University, Rome, Italy
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Ruano CA, Moraes-Fontes MF, Borba A, Grafino M, Veiga J, Fernandes O, Bilhim T, Irion KL. Lung Magnetic Resonance Imaging for Prediction of Progression in Patients With Nonidiopathic Pulmonary Fibrosis Interstitial Lung Disease: A Pilot Study. J Thorac Imaging 2023:00005382-990000000-00094. [PMID: 37732700 DOI: 10.1097/rti.0000000000000744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
PURPOSE Correlate magnetic resonance imaging (MRI) parameters at baseline with disease progression in nonidiopathic pulmonary fibrosis interstitial lung disease (ILD). MATERIALS AND METHODS Prospective observational cohort study, in which patients with non-idiopathic pulmonary fibrosis ILD underwent MRI at baseline (1.5 T). T2-weighted images (T2-WI) were acquired by axial free-breathing respiratory-gated fat-suppressed "periodically rotated overlapping parallel lines with enhanced reconstruction" and T1-weighted images (T1-WI) by coronal end-expiratory breath-hold fat-suppressed "volumetric interpolated breath-hold examination" sequences, before and at time points T1, T3, T5, and T10 minutes after gadolinium administration. After MRI segmentation, signal intensity values were extracted by dedicated software. Percentage of the ILD volume and a ratio between signal intensity of ILD (SIILD) and normal lung (SInormal lung) were calculated for T2-WI; percentage of signal intensity (%SI) at each time point, time to peak enhancement, and percent relative enhancement of ILD in comparison with normal lung (%SIILD/normal lung) were calculated for T1-WI. MRI parameters at baseline were correlated with diagnosis of disease progression and variation in percent predicted forced vital capacity (%FVC) and diffusing capacity of the lung for carbon monoxide after 12 months. RESULTS Comprehensive MRI evaluation (T2-WI and T1-WI) was performed in 21 of the 25 patients enrolled (68% females; mean age: 62.6 y). Three of the 24 patients who completed follow-up fulfilled criteria for disease progression. Baseline T2-WI SIILD/SInormal lung was higher for the progression group (P = 0.052). T2-WI SIILD/SInormal lung and T1-WI %SIILD/normal lung at T1 were positively correlated with the 12-month variation in %FVC (r = 0.495, P = 0.014 and r = 0.489, P= 0.034, respectively). CONCLUSIONS Baseline MRI parameters correlate with %FVC decline after 12 months.
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Affiliation(s)
- Carina A Ruano
- Department of Radiology, Hospital de Santa Marta
- Department of Radiology
- NOVA Medical School, Universidade Nova de Lisboa
| | | | | | | | - José Veiga
- Department of Radiology, Hospital de Santa Marta
| | - Otília Fernandes
- Department of Radiology, Hospital de Santa Marta
- Department of Radiology
| | - Tiago Bilhim
- Interventional Radiology Unit, Department of Radiology, Hospital Curry Cabral, Centro Hospitalar Universitário de Lisboa Central
| | - Klaus L Irion
- Department of Radiology, College of Medicine, University of Florida, Gainesville, FL
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