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Fontijn S, Balink SJA, Bonte M, Andrinopoulou ER, Duijts L, Kroon AA, Ciet P, Pijnenburg MW. Chest computed tomography in severe bronchopulmonary dysplasia: Comparing quantitative scoring methods. Eur J Radiol 2023; 169:111168. [PMID: 37897957 DOI: 10.1016/j.ejrad.2023.111168] [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: 08/01/2023] [Revised: 10/19/2023] [Accepted: 10/21/2023] [Indexed: 10/30/2023]
Abstract
PURPOSE Bronchopulmonary dysplasia (BPD) is the most common complication of extreme preterm birth and structural lung abnormalities are frequently found in children with BPD. To quantify lung damage in BPD, three new Hounsfield units (HU) based chest-CT scoring methods were evaluated in terms of 1) intra- and inter-observer variability, 2) correlation with the validated Perth-Rotterdam-Annotated-Grid-Morphometric-Analysis (PRAGMA)-BPD score, and 3) correlation with clinical data. METHODS Chest CT scans of children with severe BPD were performed at a median of 7 months corrected age. Hyper- and hypo-attenuated regions were quantified using PRAGMA-BPD and three new HU based scoring methods (automated, semi-automated, and manual). Intra- and inter-observer variability was measured using intraclass correlation coefficients (ICC) and Bland-Altman plots. The correlation between the 4 scoring methods and clinical data was assessed using Spearman rank correlation. RESULTS Thirty-five patients (median gestational age 26.1 weeks) were included. Intra- and inter-observer variability was excellent for hyper- and hypo-attenuation regions for the manual HU method and PRAGMA-BPD (ICCs range 0.80-0.97). ICC values for the semi-automated HU method were poorer, in particular for the inter-observer variability of hypo- (0.22-0.71) and hyper-attenuation (-0.06-0.89). The manual HU method was highly correlated with PRAGMA-BPD score for both hyper- (ρs0.92, p < 0.001) and hypo-attenuation (ρs0.79, p < 0.001), while automated and semi-automated HU methods showed poor correlation for hypo- (ρs < 0.22) and good correlation for hyper-attenuation (ρs0.72-0.74, p < 0.001). Several scores of hyperattenuation correlated with the use of inhaled bronchodilators in the first year of life; two hypoattenuation scores correlated with birth weight. CONCLUSIONS PRAGMA-BPD and the manual HU method have the best reproducibility for quantification of CT abnormalities in BPD.
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Affiliation(s)
- S Fontijn
- Post-graduate School of Paediatrics, University of Modena and Reggio Emilia, Modena, Italy
| | - S J A Balink
- Erasmus MC - Sophia Children's Hospital, University Medical Centre Rotterdam, Department of Paediatrics, Division of Respiratory Medicine and Allergology, Rotterdam, the Netherlands
| | - M Bonte
- Erasmus MC - Sophia Children's Hospital, University Medical Centre Rotterdam, Department of Paediatrics, Division of Respiratory Medicine and Allergology, Rotterdam, the Netherlands
| | - E R Andrinopoulou
- Erasmus MC, University Medical Centre Rotterdam, Department of Biostatistics, Rotterdam, the Netherlands; Erasmus MC, University Medical Centre Rotterdam, Department of Epidemiology, Rotterdam, the Netherlands
| | - L Duijts
- Erasmus MC - Sophia Children's Hospital, University Medical Centre Rotterdam, Department of Paediatrics, Division of Respiratory Medicine and Allergology, Rotterdam, the Netherlands; Erasmus MC - Sophia Children's Hospital, University Medical Centre Rotterdam, Department of Paediatrics, Division of Neonatology, Rotterdam, the Netherlands
| | - A A Kroon
- Erasmus MC - Sophia Children's Hospital, University Medical Centre Rotterdam, Department of Paediatrics, Division of Neonatology, Rotterdam, the Netherlands
| | - P Ciet
- Erasmus MC - Sophia Children's Hospital, University Medical Centre Rotterdam, Department of Paediatrics, Division of Respiratory Medicine and Allergology, Rotterdam, the Netherlands; Erasmus MC, University Medical Centre Rotterdam, Department of Radiology and Nuclear Medicine, Rotterdam, the Netherlands; Policlinico Universitario, University of Cagliari, Cagliari, Italy
| | - M W Pijnenburg
- Erasmus MC - Sophia Children's Hospital, University Medical Centre Rotterdam, Department of Paediatrics, Division of Respiratory Medicine and Allergology, Rotterdam, the Netherlands.
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Vanhaverbeke K, Van Eyck A, Van Hoorenbeeck K, De Winter B, Snoeckx A, Mulder T, Verhulst S. Lung imaging in bronchopulmonary dysplasia: a systematic review. Respir Med 2020; 171:106101. [DOI: 10.1016/j.rmed.2020.106101] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 07/20/2020] [Accepted: 07/26/2020] [Indexed: 01/19/2023]
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Spielberg DR, Walkup LL, Stein JM, Crotty EJ, Rattan MS, Hossain MM, Brody AS, Woods JC. Quantitative CT scans of lung parenchymal pathology in premature infants ages 0-6 years. Pediatr Pulmonol 2018; 53:316-323. [PMID: 29266864 DOI: 10.1002/ppul.23921] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 11/01/2017] [Indexed: 12/27/2022]
Abstract
BACKGROUND Bronchopulmonary dysplasia (BPD) is a common, heterogeneous disease in premature infants. We hypothesized that quantitative CT techniques could assess lung parenchymal heterogeneity in BPD patients across a broad age range and demonstrate how pathologies change over time. METHODS A cross-sectional, retrospective study of children age 0-6 years with non-contrast chest CT scans was conducted. BPD subjects met NICHD/NHLBI diagnostic criteria for BPD and were excluded for congenital lung/airway abnormalities or other known/suspected pulmonary diagnoses; control subjects were not premature and had normal CT scan findings. Radiologic opacities, lucencies, and spatial heterogeneity were quantified via: 1) thresholding using CT-attenuation (HU); 2) manual segmentation; and 3) Ochiai reader-scoring system. Clinical outcomes included BPD severity by NICHD/NHLBI criteria, respiratory support at NICU discharge, wheezing, and respiratory exacerbations. RESULTS Heterogeneity (standard deviation) of lung attenuation in BPD was significantly greater than in controls (difference 36.4 HU [26.1-46.7 HU], P < 0.001); the difference between the groups decreased 0.58 HU per month of age (0.08-1.07 HU per month, P = 0.02). BPD patients had greater amounts of opacities and lucencies than controls except with automated quantification of lucencies. Cross-sectionally, lucencies per Ochiai score and opacities per manual segmentation decreased with time. No approach measured a statistically significant relationship to BPD clinical severity. CONCLUSIONS Opacities, lucencies, and overall heterogeneity of lungs via quantitative CT can distinguish BPD patients from healthy controls, and these abnormalities decrease with age across BPD patients. Defining BPD severity by clinical outcomes such as respiratory support at several time points (vs a single time point, per current guidelines) may be meaningful.
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Affiliation(s)
- David R Spielberg
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Laura L Walkup
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Jill M Stein
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Eric J Crotty
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Mantosh S Rattan
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Md Monir Hossain
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Alan S Brody
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Jason C Woods
- Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
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