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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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