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American Journal of Respiratory and Critical Care Medicine logoLink to American Journal of Respiratory and Critical Care Medicine
. 2018 Nov 15;198(10):1302–1311. doi: 10.1164/rccm.201711-2287OC

Neonatal Pulmonary Magnetic Resonance Imaging of Bronchopulmonary Dysplasia Predicts Short-Term Clinical Outcomes

Nara S Higano 1, David R Spielberg 1, Robert J Fleck 2, Andrew H Schapiro 2, Laura L Walkup 1, Andrew D Hahn 3, Jean A Tkach 2, Paul S Kingma 4, Stephanie L Merhar 4, Sean B Fain 3,5, Jason C Woods 1,2,
PMCID: PMC6290936  PMID: 29790784

Abstract

Rationale: Bronchopulmonary dysplasia (BPD) is a serious neonatal pulmonary condition associated with premature birth, but the underlying parenchymal disease and trajectory are poorly characterized. The current National Institute of Child Health and Human Development (NICHD)/NHLBI definition of BPD severity is based on degree of prematurity and extent of oxygen requirement. However, no clear link exists between initial diagnosis and clinical outcomes.

Objectives: We hypothesized that magnetic resonance imaging (MRI) of structural parenchymal abnormalities will correlate with NICHD-defined BPD disease severity and predict short-term respiratory outcomes.

Methods: A total of 42 neonates (20 severe BPD, 6 moderate, 7 mild, 9 non-BPD control subjects; 40 ± 3-wk postmenstrual age) underwent quiet-breathing structural pulmonary MRI (ultrashort echo time and gradient echo) in a neonatal ICU–sited, neonatal-sized 1.5 T scanner, without sedation or respiratory support unless already clinically prescribed. Disease severity was scored independently by two radiologists. Mean scores were compared with clinical severity and short-term respiratory outcomes. Outcomes were predicted using univariate and multivariable models, including clinical data and scores.

Measurements and Main Results: MRI scores significantly correlated with severities and predicted respiratory support at neonatal ICU discharge (P < 0.0001). In multivariable models, MRI scores were by far the strongest predictor of respiratory support duration over clinical data, including birth weight and gestational age. Notably, NICHD severity level was not predictive of discharge support.

Conclusions: Quiet-breathing neonatal pulmonary MRI can independently assess structural abnormalities of BPD, describe disease severity, and predict short-term outcomes more accurately than any individual standard clinical measure. Importantly, this nonionizing technique can be implemented to phenotype disease, and has potential to serially assess efficacy of individualized therapies.

Keywords: bronchopulmonary dysplasia, magnetic resonance imaging, prematurity, neonatal lung disease, outcome prediction modeling


At a Glance Commentary

Scientific Knowledge on the Subject

Bronchopulmonary dysplasia (BPD) is a common and serious pulmonary complication of premature birth and is defined by treatment with supplemental oxygen for at least 28 days. Its severity is graded by clinically assessed need for respiratory support, which can vary with institutional standards. The underlying parenchymal disease, structural pathology, and disease trajectory are not well characterized. Patients with BPD have higher risks of respiratory complications at later ages, but there exist few strong prognostic indicators of later outcomes.

What This Study Adds to the Field

Radiological evaluation of tomographic, pulmonary magnetic resonance imaging (MRI) in early life can describe disease severity and predict short-term respiratory outcomes in neonatal patients with BPD better than individual standard clinical measures, without requiring sedation or ionizing radiation. These results support the wider implementation of pulmonary MRI in early life as a clinical measure and predictor of lung disease trajectories. Importantly, visualization of regional and structural pathologies via MRI may help in the near future to phenotype disease and to serially monitor efficacy of personalized BPD therapies.

Bronchopulmonary dysplasia (BPD) is a serious neonatal pulmonary condition often associated with premature birth, but the underlying parenchymal disease and clinical trajectory are poorly characterized (14). Although infants affected by this condition account for a small percentage of live births (10,000–15,000 new cases reported each year) (1, 5, 6), they represent a high percentage of neonatal healthcare costs (7) and are present in over 60% of our neonatal ICU (NICU) patients at Cincinnati Children’s Hospital. As clinical respiratory care and survival rates of extremely preterm infants continue to improve, we will likely see an increased prevalence of patients suffering respiratory sequelae related to prematurity.

The current National Institute of Child Health and Human Development (NICHD)/NHLBI consensus definition of BPD is based only on use of oxygen for at least 28 days (not necessarily consecutive) and a clinically assessed need for supplemental respiratory support at a fixed postmenstrual age (PMA) depending on gestational age (GA) at birth (6), which can vary with institutional standards. However, debate continues on the utility of this and other definitions of BPD, with concerns that diagnosis at a single time point does not adequately predict a neonatal patient’s risk for lung disease in later childhood (812). Indeed, there are currently few prognostic indicators of later outcomes, with inadequate clinical ability to reliably predict the levels and durations of respiratory support. Furthermore, clinical outcomes in infants with developmental pulmonary insufficiency are often impacted by critical comorbidities, such as pulmonary hypertension (PH), with difficulty in discerning the relative contributions of vascular and parenchymal lung abnormalities to a patient’s hypoxemic condition (13, 14).

The current standard of care for BPD infants includes chest X-ray radiograph for management guidance, whereas X-ray computed tomography (CT) scans may be used in more severe cases to further discern underlying pathology. However, there are concerns regarding the ionizing radiation exposure associated with CT, particularly for the nontrivial cumulative exposures from longitudinal monitoring in pediatric and neonatal populations (1517). Furthermore, even with low-dose CT protocols, neonatal CTs often require sedation and intubation for those patients not already intubated, exposing patients to additional medical risks (18, 19). As such, CT is not a preferred method for serial diagnostic imaging of neonatal BPD.

As a nonionizing modality, magnetic resonance imaging (MRI) is particularly appropriate for the repeated radiological assessment of pulmonary pathologies associated with BPD (20). Indeed, quantitative MRI has seen some initial successes using conventional Cartesian sequences, such as a gradient echo (GRE), to distinguish parenchymal intensities between neonates with and without BPD using intensity thresholding (21). Because a typical GRE sequence implements an echo time (TE) on order with the parenchymal effective transverse relaxation time (T2*; ∼2 ms at 1.5 T) (22), such acquisitions tend to perform adequately in the low flip-angle (FA) regime in visualizing the volumetric density of high-density tissues (such as fibrosis or inflammation), which have long T2* values relative to TE. However, GRE acquisitions suffer to some degree in visualizing the volumetric density of normal or hypodense lung tissues (alveolar simplification, emphysema, cysts, etc.), which have short T2* values relative to TE. This work can be refined using ultrashort echo time (UTE) radial/spiral acquisition sequences (2325). Historically, pulmonary MRI has faced challenges related to the low proton density of the lung parenchyma (26), the aforementioned short parenchymal T2*, and image artifacts from cardiac, respiratory, and bulk motion, all of which are significant considerations in a rapidly breathing, noncompliant neonate. UTE MRI implements TE values (typically less than a few hundred microseconds) much shorter than the parenchymal T2* to combat the rapid proton signal decay, and has the added value of relative robustness to motion artifacts (24). Because of this relatively short TE value, UTE MRI is ideal for visualizing volumetric densities of hyperdense, normal, or hypodense lung tissue. Furthermore, UTE MRI has recently been shown to accurately quantify neonatal parenchymal density by direct comparison to CT (27), and, as shown previously, sedation is not necessary to obtain high-quality neonatal pulmonary MR images using both GRE and UTE sequences (21, 2427).

In this work, we performed both GRE and UTE 1H MRI for comprehensive pulmonary structural images of diagnostic quality that could be used in future clinical studies. We hypothesized that pulmonary neonatal MRI can predict short-term respiratory outcomes for infants diagnosed with BPD and can provide image-based phenotyping of disease severity. Because pulmonary MRI can be used safely for serial assessment, this technique has the potential to define the underlying structural abnormalities and trajectory of neonatal pulmonary disease associated with extremely preterm birth. Some of the results of this work have been previously reported in the form of abstracts (2830).

Methods

Study Subjects

Subjects were recruited from the NICU with Institutional Review Board approval and informed parental consent. Inclusion criteria for patients with BPD included: history of prematurity (<37-wk GA); clinically diagnosed BPD according to the current NICHD/NHLBI consensus definition; and 48 weeks or less PMA at MRI. Inclusion criteria for control patients included: full-term birth (≥37-wk GA) or preterm birth without BPD; no clinically suspected or apparent lung disease; and 48 weeks or less PMA at MRI. Exclusion criteria for patients with BPD included: evidence of congenital issues that may affect lung development; suspected muscular dystrophy or neurologic disorder that may affect lung development; significant genetic or chromosomal abnormalities that may affect lung development; evidence of any respiratory infection at the time of imaging; and standard MRI exclusion criteria. Exclusion criteria for control patients were the same as for patients with BPD, with the addition of evidence of congenital diseases that may affect lung development (such as congenital heart disease, congenital diaphragmatic hernia, or other systemic pulmonary disease).

The study cohort was comprised of 42 neonates with varying levels of BPD severity, enrolled in a distribution reflective of our inpatient population: 20 with severe BPD; 6 with moderate BPD; 7 with mild BPD; 4 preterm control subjects who were born at less than 37-weeks GA, but were not diagnosed with BPD; and 5 term control subjects who were born at 37-weeks or greater GA, and were primarily diagnosed with seizures or gastrointestinal issues. Further demographic information for the cohort is given in Table 1.

Table 1.

Subject Group Demographics

BPD Severity (NICHD/NHLBI) Cohort Size (n) Sex (M/F) GA (wk) PMA at MRI (wk) Birth Weight (g)
Term control 5 3/2 39 ± 1 42 ± 1 3,270 ± 520
Preterm control 4 1/3 35 ± 1 39 ± 2 2,510 ± 390
Mild BPD 7 6/1 27 ± 1 37 ± 2 1,160 ± 230
Moderate BPD 6 5/1 27 ± 2 38 ± 2 990 ± 260
Severe BPD 20 10/10 25 ± 2 41 ± 3 690 ± 170

Definition of abbreviations: BPD = bronchopulmonary dysplasia; GA = gestational age; MRI = magnetic resonance imaging; NICHD = National Institute of Child Health and Human Development; PMA = postmenstrual age.

Data are presented as n or mean ± SE.

Patients were fed, swaddled, and equipped with ear protection before imaging. Contrast agent was not administered as part of the imaging protocol, and subjects were free breathing and nonsedated, unless respiratory support or sedation was part of their ongoing NICU care. Approximately 30% and 35% of the cohort were sedated and on positive-pressure ventilation (PPV), respectively, for clinical reasons independent of the research MRI exam; no patient was administered sedation or underwent a change in respiratory support for the purposes of imaging. All subjects’ heart rates and oxygen saturation (as measured by pulse oximetry) levels were monitored by NICU staff throughout each exam.

MRI

Neonatal research MRI exams were performed on a unique, small-footprint, neonatal 1.5 T MRI system (originally marketed as an orthopedic scanner from ONI Medical Systems; currently GE Healthcare) sited within our institution’s NICU (3134). The scanner has a 21.8-cm bore size (reduced to 18 cm with the insertion of a quadrature body coil), accommodating neonates up to approximately 4.5 kg, and operates with GE HDx software.

Two 1H MRI sequences were used for pulmonary structural imaging and scoring: a conventional three-dimensional (3D) GRE sequence and a research 3D radial UTE sequence (2325, 27). For some patients, only GRE (n = 5) or only UTE images (n = 1) were acquired, due to subject agitation or sustained bulk motion. Typical axial GRE acquisition parameters were: TE = 1.9 ms; repetition time (TR) = 7 ms; FA = 4°; bandwidth = ±90.9 kHz; field of view = 18 cm; pixel resolution = 0.70–0.86 mm; slice thickness = 3 mm; number of averages = 5–10; and scan time = ∼5 min. Typical UTE acquisition parameters were: TE = 0.2 ms; TR = 5 ms; FA = 5°; bandwidth = ±125 kHz; field of view = 18 cm; 3D isotropic resolution = 0.70–0.86 mm (in-plane isotropic pixel resolution identical to slice thickness); scan time = ∼10–16 minutes; and number of radial projections = ∼120,000–200,000. Parameters for UTE acquisitions were chosen to yield a highly proton-density-weighted intensity regime. UTE images were reconstructed after discarding data acquired during bulk motion intervals, via a previously published technique that uses the self-navigating property of non-Cartesian (radial, or UTE) k-space trajectories (25).

MRI Scoring of Lung Disease

Imaging-based lung disease severity was independently assessed by two radiologists blinded to patients’ diagnoses (R.J.F., with 22 yr of experience, and A.H.S., with 6 yr of experience) using a modified Ochiai scoring system (21) that includes seven categories (Table 2), with varying visualization quality from GRE and UTE image contrast weighting for each category, as indicated. Each category was scored 0–2, with a total range of 0–14. All image sets were anonymized, with UTE and GRE image sets for a single subject evaluated together to yield one MRI score per radiologist for each subject. A final mean MRI score was generated for each subject by averaging the two radiologists’ total scores.

Table 2.

Radiological Scoring System for Pulmonary Magnetic Resonance Imaging of Neonatal Bronchopulmonary Dysplasia, with Respective Image Contrast Weighting Contributions from Ultrashort Echo Time and Gradient Echo Magnetic Resonance Imaging Sequences

Category Scoring
Quality of Visualization with Sequence Image Contrast Weighting
0 1 2 UTE GRE
Hyperexpansion None Focal Global Strong Strong
Mosaic lung attenuation None Unclear Obvious Strong Moderate
Emphysema, number of cysts/regions None Single Multiple Strong (TE < parenchymal T2*) Poor (TE ≈ parenchymal T2*)
Emphysema, size None <5 mm >5 mm Strong (TE < parenchymal T2*) Poor (TE ≈ parenchymal T2*)
Fibrous/interstitial, triangular subpleural opacities None 1–3 lobes 4–6 lobes Moderate Strong
Distortion of bronchovascular bundles Mild Moderate Severe Moderate Strong
Subjective impression Mild Moderate Severe Strong Strong

Definition of abbreviations: GRE = gradient echo; T2* = effective transverse relaxation time; TE = echo time; UTE = ultrashort echo time

With its very short TE (∼0.2 ms), UTE images visualize short-T2* tissue better than GRE images (TE, ∼2 ms). For similar reasons, the GRE can yield improved contrast between thicker or more consolidated lung and normal/hypodense parenchyma

Statistical Analysis

Interreader reliability of MRI scoring was evaluated using a single-rater–type intraclass correlation coefficient test for absolute agreement.

Univariate ANOVA tests (ANOVA; SAS 9.3, SAS Institute Inc.) were used to determine group differences in MRI scores, birth weight, and GA for three outcomes: 1) BPD severity levels as defined by NICHD diagnostic criteria (mild, moderate, severe, or deceased from lung disease); 2) levels of respiratory support at NICU discharge (room air, oxygen, ventilator, or death); and 3) levels of respiratory support at 40-weeks PMA (room air, noninvasive oxygen [either nasal cannula or high-flow nasal cannula], or ventilator). We had intended a priori to include a group of patients on noninvasive positive pressure (i.e., continuous positive airway pressure, but no subjects used this interface by 40-weeks PMA.

Multivariable linear regression models were used to analyze three continuous outcomes: 1) duration of ventilator support; 2) duration of any PPV (ventilator or noninvasive pressure); and 3) duration of any support (ventilator, noninvasive pressure, or oxygen). Duration was censored to 150 days of life in all cases, a time frame that captured the support at hospital discharge, but avoided excess leverage from patients on respiratory support for years. Models were built for three continuous predictor variables: MRI score; GA; and birth weight. A stepwise selection process was implemented, such that predictors that satisfied P less than 0.2 were entered into the model, but were removed if they did not then satisfy P less than 0.05.

A general linear model (SAS 9.3) was used to assess the significance of additional continuous and categorical variables. Preliminary models included all recorded clinical data that may impact support duration, with both continuous variables (MRI score, GA, and birth weight) and categorical variables (sex, race, intrauterine growth restriction [IUGR], multiparity of the pregnancy, postnatal growth failure, patent ductus arteriosus, atrial septal defect, diuretics at MRI, antenatal steroids, postnatal steroids, surfactant, highest level of respiratory support in NICU, systemic PH medications, whether patients had a pneumonia while in the NICU, and public insurance status). The model also accounted for collinear variables, such as birth weight and IUGR. Additional perinatal factors (such as breast milk exposure, parent history of asthma, or maternal smoking during pregnancy) were ultimately not included due to unreliable documentation in clinical records or lack of available data, because nearly all neonates are referred to our NICU from prior institutions. A more limited multivariable model was then investigated more rigorously, including only variables that had higher clinical and statistical significance in the larger model (MRI score, GA, birth weight, multiparity, systemic PH medications, and pneumonia). The level for statistical significance was set at P less than 0.05 for all analyses.

Patients without BPD were excluded from univariate and multivariable models (see Discussion section).

Results

Typical images, level of respiratory support at discharge, and MRI scores across the spectrum of BPD severities are presented in Figure 1. Mean (±SE) MRI scores for patient groups were: term control, 0.5 (±0.4); preterm control, 0.9 (±0.8); mild BPD, 1.9 (±2.0); moderate BPD, 4.4 (±4.0); severe BPD, 9.6 (±3.0); and deceased from BPD, 12.5 (±0.0) (Figure 2). Interreader reliability for scores was good (r = 0.86, 95% confidence interval [CI] = 0.76–0.92).

Figure 1.

Figure 1.

Representative axial gradient echo (GRE) and ultrashort echo time (UTE) magnetic resonance imaging (MRI) demonstrating the range of bronchopulmonary dysplasia (BPD) severity. The level of respiratory support at neonatal ICU discharge and MRI scores are provided for each subject. Owing to its relatively short TE value, the UTE sequence can visualize hypodense tissue with intensity above the noise floor, whereas, in the same tissue, the GRE image is reconstructed with intensity near that of noise, even when non-zero density is present and apparent on UTE (for example, in the deceased severe BPD case at far right). In this way, UTE contrast weighting yields density-like intensities between various pulmonary tissues. On the other hand, with its relatively long TE value, the GRE sequence can yield improved contrast between fibrotic/interstitial/soft tissues and normal/hypodense parenchymal tissues, even though it does not represent accurate density measures of tissue with rapid effective transverse relaxation time decay.

Figure 2.

Figure 2.

Correlation between magnetic resonance imaging (MRI) score and bronchopulmonary dysplasia (BPD) disease severity (National Institute of Child Health and Human Development [NICHD]/NHLBI definition). Notably, MRI scores of preterm subjects without BPD and term control subjects did not significantly differ, and there is a large standard deviation in MRI scores of patients with moderate and severe BPD, reflective of the broad range of outcomes observed in these severity groups. Plot elements are represented as follows: mean (circle); median (horizontal line); interquartile range (gray box); and 9–91% data (whiskers).

NICHD BPD severity (Figure 3), respiratory support at NICU discharge (Figure 4), and respiratory support at 40-weeks PMA (Figure 5) correlated well with MRI score, fairly well with birth weight, and poorly with GA. The superiority of MRI scores was greater for concrete clinical outcomes (respiratory support at 40-wk PMA and NICU discharge) than for NICHD BPD severity. For this cohort, NICU discharge (or death) occurred approximately 4 weeks after MRI was performed (2, 4, and 5 wk for mild, moderate, and severe BPD, respectively). NICHD severity level was not necessarily indicative of NICU discharge support (see Table 3): subjects with moderate BPD were equally split between discharge on oxygen and discharge on room air, and three subjects with severe BPD were discharged on room air, whereas two subjects with severe BPD died from pulmonary morbidities.

Figure 3.

Figure 3.

Correlations of National Institute of Child Health and Human Development (NICHD) bronchopulmonary dysplasia (BPD) severity (mild, moderate, severe, and deceased due to lung disease) to magnetic resonance imaging (MRI) score (A; P < 0.0001), birth weight (B; P < 0.0001), and gestational age (C; P = 0.13) (ANOVA). Plot elements are represented as follows: mean (circle); median (horizontal line); interquartile range (gray box); and 9–91% data (whiskers).

Figure 4.

Figure 4.

Correlations of respiratory support at neonatal ICU (NICU) discharge (room air, oxygen, ventilator, and deceased due to lung disease) to magnetic resonance imaging (MRI) score (A; P < 0.0001), birth weight (B; P = 0.007), and gestational age (C; P = 0.12) (ANOVA). Plot elements are represented as follows: mean (circle); median (horizontal line); interquartile range (gray box); and 9–91% data (whiskers). BPD = bronchopulmonary dysplasia.

Figure 5.

Figure 5.

Correlations of respiratory support at 40-weeks postmenstrual age (PMA) (room air, oxygen/flow, and ventilator) to magnetic resonance imaging (MRI) score (A; P < 0.0001), birth weight (B; P < 0.0001), and gestational age (C; P = 0.04) (ANOVA). Plot elements are represented as follows: mean (circle); median (horizontal line); interquartile range (gray box); and 9–91% data (whiskers). BPD = bronchopulmonary dysplasia.

Table 3.

Frequency Distribution of Bronchopulmonary Dysplasia Severity and Levels of Respiratory Support at Neonatal Intensive Care Unit Discharge

NICU Discharge Support NICHD BPD Severity
Mild Moderate Severe
None 7 3 3
Oxygen 0 3 5
Ventilator 0 0 8
Deceased 0 0 2

Definition of abbreviations: BPD = bronchopulmonary dysplasia; NICHD = National Institute of Child Health and Human Development; NICU = neonatal ICU.

The results show that diagnosed severity is not necessarily indicative of respiratory outcomes at discharge.

In the stepwise selection regression models, duration of ventilator support was significantly predicted by MRI score (R2 = 0.78), whereas birth weight and GA were not significant (P > 0.2); days on ventilator support increased by 12.9 (±1.3) (±SE) days per 1 point increase in MRI score. Duration of any PPV was significantly predicted by MRI score and birth weight (partial R2 = 0.77 and 0.07, respectively, with total R2 = 0.85), whereas GA was not significant (P > 0.2); days on any PPV increased by 7.5 (±1.1) days per 1 point increase in MRI score. Similarly, duration of any support was significantly predicted by MRI score and birth weight (partial R2 = 0.59 and 0.11, respectively, with total R2 = 0.71), whereas GA was not significant (P > 0.2); days on any support increased by 4.3 (±1.3) days per 1 point increase in MRI score.

In the general linear models, sex, race, IUGR, postnatal growth failure, patent ductus arteriosus, atrial septal defect, diuretics, antenatal steroids, postnatal steroids, surfactant, highest level of respiratory support in the NICU, and insurance status had no impact on duration of any respiratory support levels. Accounting for GA, birth weight, multiparous pregnancy, need for systemic PH therapies, and occurrences of pneumonia in the NICU, MRI score significantly predicted days on ventilator support (8.1 [95% CI = 3.6–12.6] more days per 1 point increase in MRI score; total R2 = 0.86), days on any PPV (6.7 [95% CI = 4.3–9.6] more days per 1 point increase in MRI score; total R2 = 0.91), and days on any support (6.3 [95% CI = 2.8–9.7] more days per 1 point increase in MRI score; total R2 = 0.77). In this multivariable prediction model, MRI score was always the strongest predictor of duration of all respiratory support levels (Table 4).

Table 4.

A General Linear Model Predicting Duration of Various Levels of Respiratory Support, Censored to 150 Days of Life

    Support Level Duration Predicted (Censored to 150 d of Life) Total R2 of Model P Value of Significant Variables* Increase in Days of Support Duration per 1 Point Increase in MRI Score (95% CI)
    Any support 0.77 MRI score: 0.001 6.3 (2.8–9.7)
    Birth weight: 0.002
    Any PPV 0.91 MRI score: <0.0001 6.7 (4.3–9.6)
    Birth weight: 0.002
    Ventilator 0.86 MRI score: 0.001 8.1 (3.6–12.6)
    PH therapy: 0.025

Definition of abbreviations: CI = confidence interval; MRI = magnetic resonance imaging; PH = pulmonary hypertension; PPV = positive pressure ventilation.

Predictor variables included MRI score, gestational age, birth weight, multiparity, systemic PH medications, and pneumonia during neonatal ICU admission. MRI score was always the most significant predictor.

*

All other predictor variables were not significant in the model (P > 0.05).

Eight subjects with BPD were on PH therapy at discharge from the NICU (or time of death). According to clinical records, all eight subjects were on ventilator support or died as the primary outcome, with clinically assessed lung disease independent of PH that necessitated mechanical ventilation. Three subjects with BPD were treated with PH therapy that was discontinued before NICU discharge or death; in each of these cases, use of respiratory support continued past the time point at which PH therapy was discontinued, such that PH was not the primary factor in duration of respiratory support.

Five subjects with BPD had documentation of apnea of prematurity contributing to prolonged oxygen use; four of these subjects were off respiratory support before or by 40-weeks PMA, whereas one subject continued to use supplemental oxygen until 48-weeks PMA, with available clinical data not indicative of whether oxygen dependency was due to apnea of prematurity or additional nonapneic hypoxemia.

Discussion

Quiet-breathing neonatal pulmonary MRI can assess structural abnormalities of BPD without requiring sedation or ionizing radiation. This work represents the first results demonstrating that pulmonary MRI in neonatal patients with BPD can independently describe disease severity and predict short-term clinical outcomes better than individual standard clinical measures. Although both birth weight and MRI score correlate similarly with NICHD severity, NICHD severity level is not predictive of eventual discharge support; the heterogeneous relationship between clinical BPD severity level and short-term respiratory outcomes (Table 3), particularly in infants with moderate and severe BPD, signifies the somewhat insufficient current definition of clinical BPD severity. The results of the present study indicate that MRI findings are more informative than BPD severity grading based on the traditional NICHD definition. Furthermore, this work suggests that MRI can play an important, possibly even critical, role in revising the definition of BPD, particularly if implemented at even earlier time points, and may aid in applying precision medicine techniques for individualized disease trajectories.

CT scoring systems of infant BPD already exist (35, 36), but concerns over ionizing radiation exposure and sedation requirements for a pediatric CT scan (1519) make the nonionizing, nonsedated MRI techniques used in this study a safer choice, particularly for longitudinal imaging of neonatal subjects. The MRI scoring system used here could be refined to include only categories of greatest significance, modify terminology to be more widely understandable, and reduce scoring subjectivity. The addition of quantitative assessments of the structural patterns and distribution of parenchymal disease to ordinal scoring schemes is desirable, and complements radiological phenotyping of disease. Previous work on CT of cystic fibrosis and interstitial lung diseases has achieved quantitative measures and textural analysis (3739), which decrease variation in inter- and intrareader scoring and reduces evaluation time, but such work has yet to be extended to MR images or to the evaluation of neonatal BPD.

This study was performed using a unique, small-footprint, neonatal-sized MRI scanner sited within our NICU. However, implementation of this technique does not require a dedicated NICU system; these scans are translatable to any adult-sized scanner with appropriately sized coils for neonatal chest imaging. Furthermore, GRE sequences are readily available on any conventional scanner, and all three major MRI manufacturers have sequences in development similar to the UTE sequence implemented here.

Historically, pulmonary MRI has been challenging due to the rapid proton signal decay (T2* ≈ 2 ms for nonfibrotic lung parenchyma at 1.5 T). For TE values approximately equal to or longer than the parenchymal T2*, MR signal from nonfibrotic tissue is not adequately acquired, and thus is visualized as a low-intensity region in the MR image. Thus, short TE values, like those implemented for the UTE sequence, are essential for a complete evaluation of normal tissue and hypodense tissue (alveolar simplification, emphysema, cysts, etc.; Table 2). Furthermore, MR images can provide normalized signal intensities nearly identical to CT densities through selection of MR parameters that yield a near-proton-density regime (i.e., small FA, TE ≤ T2*) (27). However, a sequence with a TE near parenchymal T2*, as implemented with the GRE sequence here, can complement the proton-density UTE images by yielding a higher contrast between lung parenchyma and soft tissues (fibrotic, interstitial, vasculature, etc.; Table 2).

Typically, pediatric lung function is assessed clinically with pulmonary function tests (PFTs) (4042). However, PFT methods are effort dependent and can be unreliable, particularly in children. In contrast, quantitative, imaging-based metrics are more reliable, and have the potential to be more effective in precisely evaluating disease severity. Indeed, the use of hyperpolarized (HP) 3He and 129Xe gas MRI in both adult and pediatric lung diseases has high sensitivity via ventilation (4345), restricted diffusion (4649), and dissolved-phase techniques (5055). Importantly, these techniques provide regional information about respiratory structure and function, which PFT techniques cannot, and can be combined with structural images from 1H MRI, such as those used in the present study. The application of HP gas MRI methods to infants and preschool-aged children has thus far been limited (46, 48, 56), but, with established safety records in adults (57) and pediatrics (58), there is strong potential for HP gas MRI techniques to further characterize structural and functional pulmonary pathologies in very young infants with BPD.

There is great interest in assessing the relationship between early-life biomarkers, such as those provided by MRI, and longer-term outcomes, such as preschool- and school-aged respiratory symptoms, intolerance for exercise, rehospitalizations, and cognitive testing (59). A limitation of the current study is that the majority of the cohort is still in infancy. Even so, the short-term results here censored to 150 days of life effectively capture which patients are likely to wean from respiratory support in the NICU compared with those likely heading toward longer-term support. In future studies, we hope to demonstrate that phenotyping of disease through earlier MRI will yield an ability to personalize early clinical care by assessing likelihood of responsiveness to individual treatments (such as steroids), which will likely improve long-term outcomes. Furthermore, longitudinal studies can shed light on the time course of parenchymal abnormalities during standard clinical treatments in the neonatal period and beyond.

Another limitation of our study is the uneven distribution of clinical severity, potentially reflecting referral bias; as a primarily referral-based NICU with few in-born neonates, only preterm infants with severe sequelae of prematurity or infants with other complex comorbidities are typically admitted. The uneven distribution of severity and relatively modest sample size necessarily led to small sample sizes in subgroups (e.g., subjects with mild or moderate BPD, or in those with IUGR). The referral patterns also led to incomplete representation of GAs; there were no subjects with GAs of 30–33 weeks.

In conclusion, early-life pulmonary MRI can independently quantify the structural abnormalities of neonatal BPD and predict short-term outcomes better than any individual standard clinical measure, without requiring sedation or ionizing radiation. These results demonstrate an ability to select preterm neonatal patients at increased risk for respiratory morbidities, and therefore support the wider implementation of imaging at even earlier time points as a predictor of disease trajectories. Importantly, the regional and structural information inherent in tomographic imaging provides the potential to image phenotype disease and better describe severity, which may be used to personalize treatment and monitor the efficacy of new therapies. Because pulmonary MRI can be used safely for serial assessment, this technique has the potential to define the trajectory of neonatal pulmonary disease associated with extreme prematurity.

Acknowledgments

Acknowledgment

The authors thank the patients and families who participated in the study.

Footnotes

Supported by the Perinatal Institute at Cincinnati Children’s Hospital, the Hartwell Foundation at University of Wisconsin–Madison, and NIH grants P01 HL070831, T32 HL007752, T32 CA009206, and K12 HL119986-04.

Author Contributions: Study design—N.S.H., D.R.S., L.L.W., and J.C.W.; data collection—N.S.H., D.R.S., R.J.F., A.H.S., A.D.H., J.A.T., P.S.K., S.L.M., and S.B.F.; analysis—N.S.H., D.R.S., and J.C.W.; manuscript drafting, editing, and approval—all authors.

Originally Published in Press as DOI: 10.1164/rccm.201711-2287OC on May 23, 2018

Author disclosures are available with the text of this article at www.atsjournals.org.

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