Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2015 Sep 1;10(9):e0137282. doi: 10.1371/journal.pone.0137282

Morpho-Functional 1H-MRI of the Lung in COPD: Short-Term Test-Retest Reliability

Bertram J Jobst 1,2,3,*, Mark O Wielpütz 1,2,3, Simon M F Triphan 1,2,4, Angela Anjorin 1,2,3, Julia Ley-Zaporozhan 1,2,5, Hans-Ulrich Kauczor 1,2,3, Jürgen Biederer 1,2,6, Sebastian Ley 1,2,7, Oliver Sedlaczek 1,2,3
Editor: Josué Sznitman8
PMCID: PMC4556659  PMID: 26327295

Abstract

Purpose

Non-invasive end-points for interventional trials and tailored treatment regimes in chronic obstructive pulmonary disease (COPD) for monitoring regionally different manifestations of lung disease instead of global assessment of lung function with spirometry would be valuable. Proton nuclear magnetic resonance imaging (1H-MRI) allows for a radiation-free assessment of regional structure and function. The aim of this study was to evaluate the short-term reproducibility of a comprehensive morpho-functional lung MRI protocol in COPD.

Materials and Methods

20 prospectively enrolled COPD patients (GOLD I-IV) underwent 1H-MRI of the lung at 1.5T on two consecutive days, including sequences for morphology, 4D contrast-enhanced perfusion, and respiratory mechanics. Image quality and COPD-related morphological and functional changes were evaluated in consensus by three chest radiologists using a dedicated MRI-based visual scoring system. Test-retest reliability was calculated per each individual lung lobe for the extent of large airway (bronchiectasis, wall thickening, mucus plugging) and small airway abnormalities (tree in bud, peripheral bronchiectasis, mucus plugging), consolidations, nodules, parenchymal defects and perfusion defects. The presence of tracheal narrowing, dystelectasis, pleural effusion, pulmonary trunk ectasia, right ventricular enlargement and, finally, motion patterns of diaphragma and chest wall were addressed.

Results

Median global scores [10(Q1:8.00;Q3:16.00) vs.11(Q1:6.00;Q3:15.00)] as well as category subscores were similar between both timepoints, and kappa statistics indicated “almost perfect” global agreement (ĸ = 0.86, 95%CI = 0.81–0.91). Most subscores showed at least “substantial” agreement of MRI1 and MRI2 (ĸ = 0.64–1.00), whereas the agreement for the diagnosis of dystelectasis/effusion (ĸ = 0.42, 95%CI = 0.00–0.93) was “moderate” and of tracheal abnormalities (ĸ = 0.21, 95%CI = 0.00–0.75) “fair”. Most MRI acquisitions showed at least diagnostic quality at MRI1 (276 of 278) and MRI2 (259 of 264).

Conclusion

Morpho-functional 1H-MRI can be obtained with reproducible image quality and high short-term test-retest reliability for COPD-related morphological and functional changes of the lung. This underlines its potential value for the monitoring of regional lung characteristics in COPD trials.

Introduction

At present, pulmonary function testing is the method of choice for initial diagnosis and follow-up of chronic obstructive pulmonary disease [1]. As manifestations of the disease are typically inhomogeneous with different degrees of involvement throughout the lung and as compensation of functional impairment of the diseased areas by intact portions of the organ is relevant, global parameters from PFT such as FEV1% may not be optimally suitable for monitoring disease activity and the efficacy of treatment [1]. Due to the evolving spectrum of therapeutic options for COPD patients, requirements related to the monitoring of lung structure and function in interventional COPD trials are increased. Alternative endpoints which reflect changes in regional lung structure and function would be most welcome. Many requirements in this field are met by computed tomography (CT), which is the current modality of choice for in vivo imaging of COPD [2], but longitudinal follow-up with CT cannot be achieved without excess radiation exposure [3]. In recent years proton MRI has emerged as a promising new option for the radiation-free characterization and follow-up of COPD [46]. Current MRI techniques comprise morphological as well as functional sequences combining reasonable diagnostic accuracy with relatively easy handling [7]. In this context, MRI-based monitoring of patients with cystic fibrosis demonstrated the ability of MRI to depict alterations of lung structure and perfusion, and detect the response to therapy in patients with exacerbation [8]. MRI perfusion imaging has already been shown to be able to distinguish patients with mild COPD from healthy controls [9], and to correlate well with both FEV1% [10] and diffusing capacity [11]. But the applicability of imaging procedures in the context of patient monitoring not only depends on diagnostic accuracy and easy handling, but also on reproducibility. Test-retest reliability of imaging-derived biomarkers such as scores for morphologic changes and perfusion needs to be assessed before their use as trial endpoints in the scientific or clinical context. The aim of this study was to shape a streamlined MRI protocol based on commercially (“out of the box”) available sequences which provides a comprehensive assessment of both morphological and functional lung characteristics of COPD patients within a single study and evaluate its short-term test-retest reliability. For this purpose, 20 COPD patients of different GOLD stages underwent MRI on two consecutive days, and all exams were assessed using an established MRI score for airways disease.

Methods

Ethics statement

This prospective study was approved by the Institutional Review Board of the Medical Faculty of the University of Heidelberg, Germany. The work was carried out in accordance with the Declaration of Helsinki (The Code of Ethics of the World Medical Association). Prior to participation in the study, all subjects gave their written informed consent.

Study design and patient characteristics

N = 20 patients [median age 66 (Q1:59; Q3:74) years] diagnosed with COPD and different disease severity according to the GOLD criteria [12] were enrolled. The cohort included n = 10 patients with mild COPD (GOLD stages I-II) recruited from an outpatient clinic, and n = 10 patients with severe COPD (GOLD stages III-IV) from a specialized chest clinic (Table 1). Each patient prospectively underwent an identical lung MRI exam on two consecutive days (MRI1 / MRI2).

Table 1. Patient characteristics.

10 patients with mild COPD (GOLD stages I & II) and 10 patients with severe COPD (GOLD stages III & IV) were enrolled into the study.

GOLD I & II GOLD III & IV Global
N 10 10 20
Male / Female (n) 9/1 9/1 18/2
Min age (y) 49 60 49
Max age (y) 77 79 79
Median age (y) 59 (Q1:55; Q3:70) 69 (Q1:63; Q3:74) 66 (Q1:59; Q3:74)

Imaging

The MRI protocol was specifically tailored to the demands of structural and functional alterations of the pulmonary parenchyma, vasculature and airways using a clinical 1.5T scanner (Magnetom Avanto, Siemens Medical Solutions, Erlangen, Germany) and current protocol recommendations based on commercially available sequences [7]. Structural aspects were addressed with the following sequences in coronal and transverse orientation: Volume interpolated gradient echo (GRE, VIBE), acquired in inspiratory breath-holds, before and after contrast application (incl. fat saturation), fat-saturated, free-breathing periodically rotated overlapping parallel lines with enhanced reconstruction (BLADE), acquired in free breathing and triggered to the expiratory phase, half-fourier acquisition single-shot turbo spin-echo (HASTE) in inspiratory breath-holds, and balanced steady-state free precession (bSSFP, TrueFISP) during free breathing. Breath-holding times of most morphological sequences were kept below 25 seconds, except VIBEs that include fat saturation pulses. Dynamic contrast enhanced (DCE) first pass perfusion MRI was based on a three-dimensional GRE view sharing sequence with stochastic trajectories (TWIST) at high temporal resolution (1.47 s/volume) during inspiratory breath-hold and contrast bolus injection by a power injector (0.05 mmol/kg Gd-DTPA, Magnevist, Bayer Schering Pharma AG, Berlin, German) at a rate of 5 ml/s followed by a bolus chaser of 30 ml NaCl). The acquisition comprised 24 consecutive measurements, covering a time span of max. 37s. The initial passage of the contrast bolus through the pulmonary vasculature required a breath-holding time of 15–25 seconds. Patients were advised to hold breath as long as possible and then breathe shallowly. Subtraction images in coronal orientation with a spatial resolution of 1.95 x 1.95 mm in-plane and 5 mm slice thickness were used for visual analysis. For the evaluation of respiratory mechanics, two-dimensional time-resolved TrueFISP (dynamic TrueFISP) sequences were acquired during maximum inspiration and expiration in coronal and angulated sagittal orientation, each through the center of the right and left diaphragm. In total, image acquisition took on average 30 minutes. Details on the applied sequence parameters are provided in Table 2.

Table 2. MRI protocol and sequence parameters.

sequence mode orien-tation breathmode contrast medium TR (ms) TE (ms) FoV (mm2) slice thickn. (mm) voxel size (mm2) matrix scan time (min:s)
TrueFISP 2D cor free native 339.29 1.16 500×500 4.0 19.5×1.95 256×256 0:43
TrueFISP 2D tra free native 290.30 1.16 440×358 4.0 1.95×1.95 256×208 0:37
VIBE 3D cor insp native 3.20 1.14 500×500 4.0 0.98×0.98 256×256 0:20
VIBE 3D tra insp native 3.46 1.18 400×350 4.0 1.56×1.56 256×224 0:23
HASTE 2D cor insp native 600 32.00 500×500 6.0 0.98×0.98 512×512 0:13×2
HASTE 2D tra insp native 571 42.00 400×350 6.0 1.56×1.56 256×224 0:18
BLADE 2D cor trig native 6300.25 83.00 500×500 4.0 1.56×1.56 320×320 2:49
BLADE 2D tra trig native 7048.25 83.00 500×500 4.0 1.56×1.56 320×320 3:42
TWIST 4D cor insp dynamic 1.80 0.68 500×500 5.0 1.95×1.95 256×256 0:37
VIBE FatSat 3D cor insp post-contrast 3.35 1.18 500×500 4.0 0.98×0.98 512×512 0:33
VIBE FatSat 3D tra insp post-contrast 3.35 1.18 400×350 4.0 0.78×0.78 512×448 0:32
TrueFISP 2D+t cor forced post-contrast 317.10 1.08 500×500 6.0 0.98×0.98 512×512 0:24
TrueFISP 2D+t sag R forced post-contrast 317.10 1.11 450×450 6.0 0.88×0.88 512×512 0:25
TrueFISP 2D+t sag L forced post-contrast 317.10 1.11 450×450 6.0 0.88×0.88 512×512 0:25

All sequences are acquired in 3D or 2D multi-slice modes and were accelerated using GRAPPA with a parallelization factor of 2. Breathing mode indicates free breathing, one or more breath-hold in inspiration or expiration, expiration triggered acquisition or dynamic acquisition during forced in- and expiration.

Image evaluation

MRI1 and MRI2 were evaluated employing a scoring system specifically reporting the extent and distribution of COPD-related abnormalities, which was a modification of a previously established MRI scoring system for airways disease [8,13]. The scoring system categorizes COPD-related abnormalities, and each category is rated with a 3-point scale of 0, 1 or 2 or a 2-point scale of 0 and 1 (max. score 98) in a lobe-based approach as described in the following:

Tracheal disease

For the diagnosis of tracheal disease, we considered conditions affecting the structure of the trachea or right and left stem bronchi such as collapse, stenosis, or saber sheath trachea. The rating of tracheal pathologies was mainly based on inspiratory VIBE, BLADE, and TrueFISP. The BLADE images were acquired during expiratory phase and thus provided complementary information to inspiratory VIBE images. Together, the previously mentioned sequences allowed for the visual evaluation of the tracheal cross-sectional area during the breathing cycle: 0 = absent, 1 = moderate (≤ 50% decrease in lumen area), 2 = severe (> 50% decrease in lumen area).

Bronchial disease

This category summarizes COPD-related pathologies with localisation in the lobar bronchi and segmental bronchi in a combined approach [13], i.e. bronchiectasis, bronchial wall thickening, stenosis, and bronchial mucus plugging with hyperintense intraluminal appearance on T2-weighted images. 0 = absent, 1 = ≤50% of lobe, 2 = >50% of lobe.

Small airway disease

Tree-in-bud appearance and peripheral bronchiectasis (visibility of bronchi within 2 cm from the pleural surface): 0 = absent, 1 = ≤50% of lobe, 2 = >50% of lobe.

Consolidations

Areas with an increase in parenchymal signal intensity > 2.0 cm in diameter with possible presence of air bronchogram or contrast enhancement [13]: 0 = absent, 1 = ≤50% of lobe, 2 = >50% of lobe.

Nodules

0 = absent, 1 = < 1.0 cm, 2 = ≥ 1.0 cm.

Parenchymal defects

Areas of decrease in parenchymal signal intensity on inspiratory HASTE, VIBE, and/or post-contrast VIBE [14]: 0 = absent, 1 = ≤50% of lobe, 2 = >50% of lobe.

Perfusion defects

Areas of reduced or missing enhancement on subtracted peak perfusion maps. Other causes not related to airway disease or emphysema, in particular pulmonary embolism, infiltration and atelectasis, were excluded [13]: 0 = absent, 1 = ≤50% of lobe, 2 = >50% of lobe.

Perfusion defects due to collateral causes

Perfusion defects not related to airway disease (infiltration, atelectasis, pulmonary embolism): 0 = absent, 1 = ≤50% of lobe, 2 = >50% of lobe.

Impaired respiratory mechanics

Motion impairment of the chest wall and/or diaphragm such as diaphragmatic depression with / without paradoxical motion as published previously [1517]. Different causes, in particular phrenic paralysis or atelectasis were excluded. The evaluation was performed for each hemithorax: 0 = absent, 1 = moderate impairment (diaphragmatic flattening, reduced or paradoxical motion of chest wall and/or diaphragm), 2 = severe impairment (diaphragmatic motion hardly visible).

Impairment of respiratory mechanics due to collateral causes

Respiratory motion impairment as collateral finding (prevailing conditions which are not COPD-related, i.e. phrenic paralysis or atelectasis): 0 = absent, 1 = moderate impairment, 2 = severe impairment.

Pulmonary trunk ectasia

0 = diameter PA < 29 mm, 1 = diameter PA ≥ 29 mm [18].

Right ventricular enlargement

Right ventricle (RV) to left ventricle ratio (LV), 0 = RV/LV ≤ 1.0, 1 = RV/LV > 1.0 [19].

Special findings

This category summarizes unspecific findings which are not met by other categories, such as parenchyma bands, dystelectasis, pleural effusion, pleurisy, pneumothorax, or pleural peels. Such special findings were analysed separately for the right and left hemithorax: 0 = absent, 1 = present.

All 39 MRI datasets were evaluated in consensus by three chest radiologists with 2–4 years of experience in pulmonary 1H-MRI. MRI2 was assessed one week after MRI1. Every single observation was documented for further evaluation of test-retest reliability. Subscores were calculated for each category as the sum of each lobar score, and the global score was calculated as the sum of all category subscores. Image quality was rated in consensus for every single MRI sequence: 0 = excellent, 1 = reduced but diagnostic, 2 = not diagnostic.

Statistical analysis

Scores are given as median with interquartile range (Q1 to Q3). The test-retest reliability (MRI1 vs. MRI2) was assessed by weighted kappa with quadratic weighting [20] for ordinal variables and by Cohen´s kappa [21] for nominal variables. We employed the following levels of agreement: 0–0.20 = poor, 0.21–0.40 = fair, 0.41–0.60 = moderate, 0.61–0.80 = substantial, 0.81–1.00 = almost perfect [22]. Global sum scores and category subscores of test and retest were compared by Wilcoxon signed-rank test for skewed distributions and paired Student's t-test for normal distributions. Calculations were done using IBM SPSS statistics 22 (International Business Machines Corporation IBM, Armonk, NY, USA).

Results

Technical feasibility and image quality

MRI1 could be completed in 18 of 20 patients, and partially completed in 2 of 20 patients who refused intravenous contrast application. MRI2 was rejected by 1 patient, and again 2 patients refused intravenous application of contrast media. The semiquantitative visual image evaluation did not exceed 20 minutes per dataset. Inspiratory HASTE, free-breathing TrueFISP, as well as dynamic TrueFISP during maximum inspiration and expiration demonstrated excellent image quality (score = 0) at MRI1 and MRI2. Image quality of other MRI sequences was also thoroughly reported as being diagnostic (score = 1) or excellent (score = 0) with few exceptions: post-contrast VIBE showed insufficient image quality due to respiratory motion artifacts in 2 patients at MRI1 (1 in transversal, 1 in coronal plane) and 3 at MRI2 (2 transversal, 1 coronal). The respiratory triggered BLADE showed insufficient image quality in 2 subjects at MRI2 (1 transversal, 1 coronal). The test-retest reliability of image quality scoring of MRI1 vs. MRI2 was moderate with ĸ = 0.41 (95%CI = 0.21–0.60), meaning that image quality may be somewhat variable within the same subject.

Test-retest reliability of MRI in COPD

The median global score for n = 19 patients was 10 (Q1: 8.00; Q3: 16.00) for MRI1 and 11 (Q1: 6.00; Q3: 15.00) for MRI2. The global scores and category subscores were not significantly different between MRI1 and MRI2 (subscore data not shown). We found an “almost perfect” test-retest reliability of MRI1 vs. MRI2 (ĸ = 0.86, 95%CI = 0.81–0.91) (Table 3) based on the entirety of single observations. Kappa statistics indicated “substantial” or “almost perfect” agreement for MRI1 vs. MRI2 with regard to the majority of category subscores (ĸ = 0.64–1.00) (Table 3). For special findings such as atelectasis or pleural effusion (ĸ = 0.42, 95%CI = 0.00–0.93), the agreement for MRI1 vs. MRI2 was “moderate” (Table 3), for tracheal abnormalities (ĸ = 0.21, 95%CI = 0.00–0.75) it was “fair”.

Table 3. Weighted kappa of test vs. retest (consensus of n = 3 readers), displayed for category subscores and for the global score.

Category κ 95% CI
Tracheal disease 0.21 0.00–0.75
Bronchial disease 0.88 0.55–0.98
Small airway disease 1.00 1.00–1.00
Consolidations 0.80 0.55–1.00
Nodules 0.75 0.32–1.00
Parenchymal defects 0.77 0.49–1.00
Perfusion defects 0.77 0.61–0.93
Perfusion defects (collateral findings) 0.74 0.24–1.00
Impaired respiratory mechanics 0.76 0.45–1.00
Impaired respiratory mechanics (collateral findings) 1.00 1.00–1.00
Pulmonary trunk ectasia 0.86 0.17–1.00
Right ventricular enlargement 0.64 0.00–1.00
Special findings 0.42 0.00–0.93
Global 0.86 0.81–0.91

At single patient level, airway abnormalities (Fig 1), pulmonary consolidations, COPD related-perfusion defects (Fig 2, Fig 3), and impairments of respiratory mechanics (collateral findings) were detected in the same number of patients at MRI1 and MRI2 (Table 4). The prevalence of pulmonary nodules was reported slightly higher at MRI1 (37%) than in MRI2 (26%), just as well as the prevalence of special findings (42% vs. 32%). Other categories differed by 1 subject at most between MRI1 and MRI2 (Table 4).

Fig 1. Examples of of typical findings.

Fig 1

(A) Saber sheath trachea in a 69 year old patient diagnosed with GOLD stage IV (“tracheal disease”-score = 1). (B) Complete destruction of the middle lobe due to severe bronchiectasis in a 59 year old patient with GOLD stage II (lobar score for “bronchial disease” = 2). (C) Small airway disease (arrowhead) in the right lower lobe of a 50 year old patient with GOLD stage I (lobar score for the category “small airway disease” = 1). (D) Bronchial carcinoma ≥ 1.0 cm in the right lower lobe adjacent to the bronchovascular bundle of a 79 year old patient with GOLD stage IV (lobar score for the category “nodules” = 2).

Fig 2. Discrepancy of parenchymal structure and function in mild COPD.

Fig 2

57 year old male patient suffering from mild COPD (GOLD stage I). VIBE (A), post-contrast VIBE (B), as well as HASTE (C) did not show significant parenchymal alterations. However, functional MRI with 4D first pass perfusion revealed scattered minor defects (arrowheads) across the lung on subtracted images (D) and therefore was rated with a perfusion score of 1 for each lobe.

Fig 3. Pulmonary emphysema with concomitant perfusion deficit.

Fig 3

Grossly circumscribed structural defect (arrowheads) located in the periphery of the right upper lobe of a 50 year old male patient with GOLD stage I, as displayed on VIBE (A), post-contrast VIBE (B), and HASTE (C). A corresponding, but slightly larger defect (arrowheads) is visible on subtraction images of MR perfusion datasets (D). With regard to the category subscore “parenchymal defects”, the lobe was rated with a score of 1, and with regard to the perfusion score, it was rated with a 2. Additionally, one recognizes a small pleural effusion in the right oblique fissure which is also visible in Fig 4B.

Table 4. Number of patients with COPD-relevant MRI findings in MRI1 and MRI2 ordered by categories.

2 individuals rejected contrast media at each examination.

Findings (Category) MRI1 MRI2
Tracheal disease 3/19 3/19
Bronchial disease 6/19 6/19
Small airway disease 4/19 4/19
Consolidations 6/19 6/19
Nodules 7/19 5/19
Parenchymal defects 9/19 10/19
Perfusion defects 16/17 16/17
Perfusion defects (collateral findings) 3/17 4/17
Impaired respiratory mechanics 8/19 9/19
Impaired respiratory mechanics (collateral findings) 2/19 2/19
Pulmonary trunk ectasia 5/19 4/19
Right ventricular overload 2/19 1/19
Special findings 8/19 6/19

The number of lung lobes with COPD-related findings was relatively stable for most categories from MRI1 through MRI2, as well as their attributed score value (Table 5). Airway categories, consolidations, nodules, collateral perfusion defects, collateral impairments of respiratory mechanics (Fig 4) and right ventricular enlargement showed similarly low prevalence of up to 16% of lung lobes/chest compartments, mainly with low score values (score = 1) at both timepoints (Table 5). A relatively high number of lung lobes/chest compartments showed parenchymal defects (Fig 3) based on morphological MRI sequences (26% vs. 33%), perfusion defects (83% vs. 84%) and impaired respiratory mechanics (39% vs. 45%) as well as pulmonary trunk ectasia (26% vs. 21%) at both examinations (Table 5). In particular the number of parenchymal defects seemed to differ between both examinations, with a tendency towards a higher detection rate of minor parenchymal defects at MRI2 (37 vs. 29 lobes), whereas the number of large parenchymal defects remained stable.

Table 5. Number of abnormal lung lobes or thoracic compartments as observed on MRI1 or MRI2, ordered by category and by score point (0, 1, or 2 points) for n = 19 patients (n = 114 lobes).

Note that the total number of lung lobes for the category perfusion is reduced by 2 patients (12 lobes) who rejected contrast media at each examination.

Number of rated lobes (∑ = 114) / or compartments
Pathology (Category) N score = 0 N score = 1 N score = 2 Compartment
MRI1 MRI2 MRI1 MRI2 MRI1 MRI2
Tracheal disease 16 16 3 3 0 0 Trachea / Stem
Bronchial disease 106 107 7 5 1 2 Lobe
Small airway disease 110 110 4 4 0 0 Lobe
Consolidations 108 107 5 5 1 2 Lobe
Nodules 104 106 8 6 2 2 Lobe
Parenchymal defects 84 76 29 37 1 1 Lobe
Perfusion defects (102 lobes) 17 16 49 46 36 40 Lobe
Perfusion defects (collateral findings, 102 lobes) 99 98 2 2 1 2 Lobe
Impaired respiratory mechanics 23 21 13 14 2 3 Chest r/l
Impaired respiratory mechanics (collateral findings) 36 36 2 2 0 0 Chest r/l
Pulmonary trunk ectasia 14 15 5 4 Pulm. trunk
Right ventricular enlargement 17 18 2 1 Heart
Special findings 29 32 9 6 Chest r/l

Fig 4. Respiratory mechanics in mild and advanced COPD.

Fig 4

Snapshots from dynamic TrueFISP in coronal orientation showing respiratory mechanics in a 50 year old male patient with GOLD stage I (A, B) and a 77 year old male patient with GOLD stage III (C, D). Diaphragmatic function of the patient with mild COPD appeared normal, as shown in inspiration (A) and expiration (B). Note a small pleural effusion in the right oblique fissure as secondary finding (arrowhead). The patient with GOLD stage III showed bilateral phrenic flattening and signs of whipsaw-motion in inspiration (C) and expiration (D). Phrenic motion amplitude was bilaterally restricted, with hardly recognizable motion on the left side (category subscore for respiratory mechanics right = 1; left = 2). Note an emphysemal bulla in the left upper lobe as additional finding.

Discussion

The aim of the study was the assessment the test-retest reliability of a combined morpho-functional MRI protocol based on commercially available sequences for COPD-related regional abnormalities of lung structure, perfusion, and respiratory mechanics as well as pulmonary hypertension. Continuously high image quality is a prerequisite for this concept, since insufficient or varying image quality decreases reproducibility with significant influence on image-based quantitative or semiquantitative biomarkers. Many patients with severe COPD are short of breath and thus unable to comply with long breath-holding times. Image quality is therefore frequently limited. Gay et al. reported a maximum breath-holding time of 25 seconds during CT imaging of patients with COPD, chronic heart failure or extensive smoking history and 45 seconds in patients without pulmonary disease [23]. To meet the requirements for scanning COPD patients, the protocol employed respiratory triggered and free breathing sequences which are less stressful for the patient and reduce or eliminate the influence of respiratory motion. Breath-holding times of most sequences were below 25 seconds with few exceptions: The 4D perfusion sequence (TWIST) covered a time period of 37 seconds since circulation times are difficult to predict in morbid patients and frequently prolonged. However, observed individual abilities of COPD patients to hold breath were sufficient for artifact-free perfusion acquisition during the first pulmonary passage of the contrast bolus (15–25s). The fat-saturated VIBEs were the only morphological acquisitions exceeding breath-holding times of 25 seconds. In general, the imaging protocol proved to be robust since image quality was at least diagnostic at both examinations, with only few fat-saturated VIBEs and BLADE acquisitions in different patients showing insufficient image quality. This may be partially due to the prolonged breath-holding time of fat-saturated VIBE, but advances in parallel imaging will certainly allow for a reduction of fat-saturated VIBE acquisition times in the near future. Although most MRI data sets showed a high level of image quality, the test-retest reliability of image quality scoring of MRI1 vs. MRI2 was only moderate with ĸ = 0.41. This reflects intra-subject fluctuations of image quality related to image artifacts of insignificant extent, mainly minor respiratory motion, cardiac motion, and in some cases, Gibbs ringing artifacts. Furthermore, the 4D DCE perfusion sequence and the contrast regimen were also designed to meet the requirements of a software-based calculation of regional quantitative perfusion parameters. The designed MRI protocol also met the expectations concerning test-retest reliability, since COPD-related lung abnormalities were depicted with “almost perfect” reproducibility within 1 day. For imaging-based phenotyping of COPD, the extent of airway remodeling and pulmonary emphysema would need to be systematically assessed [24]. Today, CT is the modality of choice for in vivo imaging of the pulmonary parenchyma and airways in COPD [2,25]. MRI of the lung remains challenging due to low proton density and thus low MRI signal of lung tissue. Spatial resolution of MRI is inferior to CT in the order of 2 to 4 times, thus affecting airway imaging which can be performed down to the segmental level in healthy individuals. However, bronchial wall thickening and dilatation increase visibility on MRI and improve the specificity of MRI for airway pathology. Furthermore, small airways disease with tree-in-bud pattern is also sensitively depicted by MRI [6,26]. The present study is the first of its kind to systematically evaluate airway alterations in COPD patients with MRI. Airway pathologies were found in approximately half of the patients in both MR examinations. However, the number of affected lung lobes was infrequent at both time points. Kappa statistics indicated “almost perfect” reproducibility for abnormalities of large and small airways. The evaluation of tracheal abnormalities showed a “fair” agreement between MRI1 and MRI2, reflecting reduced test-retest reliability compared to other subscore categories. This might be based on the fact that the evaluation of tracheal narrowing was based on the combined evaluation of free-breathing, respiratory-triggered and inspiratory breath-hold acquisitions which comes close to but obviously cannot replace dynamic acquisitions during forced inspiration/expiration and free breathing. In patients with COPD, the additional loss of signal due to emphysematous destruction, hyperinflation and hypoxic pulmonary vasoconstriction deteriorates conditions for structural 1H-MRI [27,28]. In the present study, parenchymal defects based on morphological MR images were detected in a substantial number of lung lobes at both MRI1 and MRI2 (26% vs. 33%) with “substantial” agreement between both examinations. Ley-Zaporozhan et al. compared MRI-based and CT-based emphysema classification and reported that the extent of emphysema was rated correctly using morphological MRI sequences in 63% of lung lobes, suggesting that emphysema characterization with structural MRI is less sensitive than with CT, but provides a certain impression of emphysema severity [14]. Moreover, the protocol was aimed to cover frequent COPD-related inflammatory or potentially malignant comorbidities such as pneumonia and pulmonary nodules, which should not be missed in cross-sectional imaging of the lung. These findings had a low prevalence in our population but were depicted with high (“substantial”) test-retest reproducibility. This is perfectly in keep with recently published results on lung nodule detection in a lung cancer CT screening population by Sommer et al., who could show that the inter-rater variability for lung nodules was only 84% with κ = 0.65 with a similar morphological protocol but without contrast application [29]. In COPD patients, perfusion can be adversely affected by hypoxic pulmonary vasoconstriction, remodeling or rarefication of the pulmonary vasculature due to tissue destruction [30]. MRI is capable of depicting such perfusion abnormalities with similar sensitivity and specificity as pulmonary radionuclide scintigraphy [31]. Moreover, Ley-Zaporozhan et al. reported a high sensitivity of MR perfusion imaging for emphysematous lung areas visible on CT [32]. However, contrast enhanced MR perfusion has been shown to be an appropriate surrogate parameter for both, parenchymal destruction and airway obstruction [3335]. The 4D DCE perfusion study employed for the present study demonstrated “substantial” test-retest reproducibility concerning the presence, localization and extent of lung areas with reduced perfused blood volume. Additionally, it revealed a high prevalence of lung areas with reduced blood content per volume at both timepoints (86% vs. 88%). It is well known that advanced hyperinflation and emphysema in COPD affect chest wall and diaphragmatic motion [16,17] leading to reduced extent of motion and/or paradoxical movement, which has been studied by 4DCT [36] as well as time-resolved MRI acquisitions [15,17]. Image-based evaluation of respiratory mechanics is of potential value for patient monitoring in the context of interventions such as lung volume reduction surgery, which are believed to improve lung function through respiratory mechanics [37]. However, the reproducibility of findings in dynamic TrueFISP during maximum inspiration and expiration has not been assessed yet. Dynamic TrueFISP sequences during maximum inspiration and expiration revealed respiratory motion impairment in the same number of chest compartments at MRI1 and MRI2 (each 17/38) with similar extent of severity. In this context, extensive motivation and guidance of the patients ensured high test-retest reliability. Morphological indicators of pulmonary hypertension were detected with high reproducibility, in detail right ventricular enlargement and pulmonary trunk ectasia, thereby providing information on the probability of severe exacerbations [38] and 5-year survival rate [39]. Pathologies addressed by the category “special findings” (which entailed mainly small atelectasis and minor pleural effusion) are per se highly variable throughout 24 hours. As a result, kappa statistics indicated moderate test-retest reliability for this category, which should not be attributed to MRI. In the near future, new MRI techniques based on near zero echo times such as ultra-short echo time (UTE) sequences will improve image quality of proton MRI of the lung, providing higher spatial resolution, better signal-to-noise ratio and shorter scan time [40, 41]. Most clinical scanner vendors already offer UTE sequences for selected MRI devices, in many cases as work in progress (WIP) sequences. First experiences in subjects with cystic fibrosis [42] indicate the high potential of these techniques in the evaluation of pulmonary structure and function in subjects with lung diseases. The proposed imaging protocol will be the basis of a prospective study (DRKS00005072) comparing the performance of MRI- with CT-based phenotyping of COPD in a large multicenter subcohort of the German COPD cohort (Impact of Systemic Manifestations/Comorbidities on Clinical State, Prognosis, Utilisation of Health Care Resources in Patients with COPD study “COSYCONET”, NCT01245933).

Conclusion

The proposed imaging protocol allowed for the evaluation of COPD-related alterations of bronchi, pulmonary parenchyma, perfusion, and respiratory mechanics with high test-retest reliability. Even in patients with advanced COPD, image quality of most acquisitions was at least diagnostic at both examinations. The proposed imaging protocol appears valuable for phenotyping COPD as well as monitoring of regional lung structure and function in clinical trials.

Data Availability

All relevant data are within the paper.

Funding Statement

This work has been supported by the Competence Network on Asthma/COPD (ASCONET) through a grant from the Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) of the federal government of Germany (01GI0870, www.bmbf.de/en). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors declare no conflict of interest with regard to the study at hand.

References

  • 1. Han MK, Agusti A, Calverley PM, Celli BR, Criner G, Curtis JL, et al. Chronic obstructive pulmonary disease phenotypes: the future of COPD. Am J Respir Crit Care Med 2010; 182: 598–604. 10.1164/rccm.200912-1843CC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Coxson HO, Rogers RM. Quantitative computed tomography of chronic obstructive pulmonary disease. Acad Radiol 2005; 12: 1457–1463. [DOI] [PubMed] [Google Scholar]
  • 3. Coxson HO. Quantitative computed tomography assessment of airway wall dimensions: current status and potential applications for phenotyping chronic obstructive pulmonary disease. Proc Am Thorac Soc 2008; 5: 940–945. 10.1513/pats.200806-057QC [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Biederer J, Mirsadraee S, Beer M, Molinari F, Hintze C, Bauman G, et al. MRI of the lung (3/3)-current applications and future perspectives. Insights Imaging 2012; 3: 373–386. 10.1007/s13244-011-0142-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Ley-Zaporozhan J, van Beek EJ. Imaging phenotypes of chronic obstructive pulmonary disease. J Magn Reson Imaging 2010; 32: 1340–1352. 10.1002/jmri.22376 [DOI] [PubMed] [Google Scholar]
  • 6. Wielputz M, Kauczor HU. MRI of the lung: state of the art. Diagn Interv Radiol 2012; 18: 344–353. 10.4261/1305-3825.DIR.5365-11.0 [DOI] [PubMed] [Google Scholar]
  • 7. Biederer J, Beer M, Hirsch W, Wild J, Fabel M, Puderbach M, et al. MRI of the lung (2/3). Why… when… how? Insights Imaging 2012; 3: 355–371. 10.1007/s13244-011-0146-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Wielputz MO, Puderbach M, Kopp-Schneider A, Stahl M, Fritzsching E, Sommerburg O, et al. Magnetic resonance imaging detects changes in structure and perfusion, and response to therapy in early cystic fibrosis lung disease. Am J Respir Crit Care Med 2014; 189: 956–965. 10.1164/rccm.201309-1659OC [DOI] [PubMed] [Google Scholar]
  • 9. Fan L, Xia Y, Guan Y, Yu H, Zhang TF, Liu SY, et al. Capability of differentiating smokers with normal pulmonary function from COPD patients: a comparison of CT pulmonary volume analysis and MR perfusion imaging. Eur Radiol 2013; 23: 1234–1241. 10.1007/s00330-012-2729-2 [DOI] [PubMed] [Google Scholar]
  • 10. Xia Y, Guan Y, Fan L, Liu SY, Yu H, Zhao LM, et al. Dynamic Contrast Enhanced Magnetic Resonance Perfusion Imaging in High-Risk Smokers and Smoking-Related COPD: Correlations with Pulmonary Function Tests and Quantitative Computed Tomography. COPD 2014; 11: 510–520. 10.3109/15412555.2014.948990 [DOI] [PubMed] [Google Scholar]
  • 11. Hueper K, Parikh MA, Prince MR, Schoenfeld C, Liu C, Bluemke DA, et al. Quantitative and semiquantitative measures of regional pulmonary microvascular perfusion by magnetic resonance imaging and their relationships to global lung perfusion and lung diffusing capacity: the multiethnic study of atherosclerosis chronic obstructive pulmonary disease study. Invest Radiol 2013; 48: 223–230. 10.1097/RLI.0b013e318281057d [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Rabe KF, Hurd S, Anzueto A, Barnes PJ, Buist SA, Calverley P, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med 2007; 176: 532–555. [DOI] [PubMed] [Google Scholar]
  • 13. Eichinger M, Optazaite DE, Kopp-Schneider A, Hintze C, Biederer J, Niemann A, et al. Morphologic and functional scoring of cystic fibrosis lung disease using MRI. Eur J Radiol 2012; 81: 1321–1329. 10.1016/j.ejrad.2011.02.045 [DOI] [PubMed] [Google Scholar]
  • 14. Ley-Zaporozhan J, Ley S, Eberhardt R, Kauczor HU, Heussel CP. Visualization of morphological parenchymal changes in emphysema: comparison of different MRI sequences to 3D-HRCT. Eur J Radiol 2010; 73: 43–49. 10.1016/j.ejrad.2008.09.029 [DOI] [PubMed] [Google Scholar]
  • 15. Suga K, Tsukuda T, Awaya H, Takano K, Koike S, Matsunaga N, et al. Impaired respiratory mechanics in pulmonary emphysema: evaluation with dynamic breathing MRI. J Magn Reson Imaging 1999; 10: 510–520. [DOI] [PubMed] [Google Scholar]
  • 16. Iwasawa T, Yoshiike Y, Saito K, Kagei S, Gotoh T, Matsubara S. Paradoxical motion of the hemidiaphragm in patients with emphysema. J Thorac Imaging 2000; 15: 191–195. [DOI] [PubMed] [Google Scholar]
  • 17. Iwasawa T, Kagei S, Gotoh T, Yoshiike Y, Matsushita K, Kurihara H, et al. Magnetic resonance analysis of abnormal diaphragmatic motion in patients with emphysema. Eur Respir J 2002; 19: 225–231. [DOI] [PubMed] [Google Scholar]
  • 18. Tan RT, Kuzo R, Goodman LR, Siegel R, Haasler GB, Presberg KW. Utility of CT scan evaluation for predicting pulmonary hypertension in patients with parenchymal lung disease. Medical College of Wisconsin Lung Transplant Group. Chest 1998; 113: 1250–1256. [DOI] [PubMed] [Google Scholar]
  • 19. Van der Meer RW, Pattynama PM, van Strijen MJ, van den Berg-Huijsmans AA, Hartmann IJ, Putter H, et al. Right ventricular dysfunction and pulmonary obstruction index at helical CT: prediction of clinical outcome during 3-month follow-up in patients with acute pulmonary embolism. Radiology 2005; 235: 798–803. [DOI] [PubMed] [Google Scholar]
  • 20. Cohen J. Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol Bull 1968; 70: 213–220. [DOI] [PubMed] [Google Scholar]
  • 21. Cohen J. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 1960; 20: 37–46. [Google Scholar]
  • 22. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977; 33: 159–174. [PubMed] [Google Scholar]
  • 23. Gay SB, Sistrom CL, Holder CA, Suratt PM. Breath-holding capability of adults. Implications for spiral computed tomography, fast-acquisition magnetic resonance imaging, and angiography. Invest Radiol 1994; 29: 848–851. [PubMed] [Google Scholar]
  • 24. Lynch DA, Austin JHM, Hogg JC, Grenier PA, Kauczor HU, Bankier AA, et al. CT definable subtypes of COPD: a statement of the Fleischner Society. Radiology, in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Kauczor HU, Wielputz MO, Owsijewitsch M, Ley-Zaporozhan J. Computed tomographic imaging of the airways in COPD and asthma. J Thorac Imaging 2011; 26: 290–300. 10.1097/RTI.0b013e3182277113 [DOI] [PubMed] [Google Scholar]
  • 26. Puderbach M, Eichinger M, Haeselbarth J, Ley S, Kopp-Schneider A, Tuengerthal S, et al. Assessment of morphological MRI for pulmonary changes in cystic fibrosis (CF) patients: comparison to thin-section CT and chest x-ray. Invest Radiol 2007; 42: 715–725. [DOI] [PubMed] [Google Scholar]
  • 27. Puderbach M, Eichinger M, Gahr J, Ley S, Tuengerthal S, Schmahl A, et al. Proton MRI appearance of cystic fibrosis: comparison to CT. Eur Radiol 2007; 17: 716–724. [DOI] [PubMed] [Google Scholar]
  • 28. Ley-Zaporozhan J, Puderbach M, Kauczor HU. MR for the evaluation of obstructive pulmonary disease. Magn Reson Imaging Clin N Am 2008; 16: 291–308, ix. 10.1016/j.mric.2008.02.014 [DOI] [PubMed] [Google Scholar]
  • 29. Sommer G, Tremper J, Koenigkam-Santos M, Delorme S, Becker N, Biederer J, et al. Lung nodule detection in a high-risk population: comparison of magnetic resonance imaging and low-dose computed tomography. Eur J Radiol 2014; 83: 600–605. 10.1016/j.ejrad.2013.11.012 [DOI] [PubMed] [Google Scholar]
  • 30. Barr RG. The epidemiology of vascular dysfunction relating to chronic obstructive pulmonary disease and emphysema. Proc Am Thorac Soc 2011; 8: 522–527. 10.1513/pats.201101-008MW [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Sergiacomi G, Sodani G, Fabiano S, Manenti G, Spinelli A, Konda D, et al. MRI lung perfusion 2D dynamic breath-hold technique in patients with severe emphysema. In Vivo 2003; 17: 319–324. [PubMed] [Google Scholar]
  • 32. Ley-Zaporozhan J, Ley S, Eberhardt R, Weinheimer O, Fink C, Puderbach M, et al. Assessment of the relationship between lung parenchymal destruction and impaired pulmonary perfusion on a lobar level in patients with emphysema. Eur J Radiol 2007; 63: 76–83. [DOI] [PubMed] [Google Scholar]
  • 33. Eichinger M, Puderbach M, Fink C, Gahr J, Ley S, Plathow C, et al. Contrast-enhanced 3D MRI of lung perfusion in children with cystic fibrosis—initial results. Eur Radiol 2006; 16: 2147–2152. [DOI] [PubMed] [Google Scholar]
  • 34. Thieme SF, Graute V, Nikolaou K, Maxien D, Reiser MF, Hacker M, et al. Dual Energy CT lung perfusion imaging—correlation with SPECT/CT. Eur J Radiol 2012; 81: 360–365. 10.1016/j.ejrad.2010.11.037 [DOI] [PubMed] [Google Scholar]
  • 35. Hopkins SR, Wielputz MO, Kauczor HU. Imaging lung perfusion. J Appl Physiol 2012; 113: 328–339. 10.1152/japplphysiol.00320.2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Wielputz MO, Eberhardt R, Puderbach M, Weinheimer O, Kauczor HU, Heussel CP. Simultaneous assessment of airway instability and respiratory dynamics with low-dose 4D-CT in chronic obstructive pulmonary disease: a technical note. Respiration 2014; 87: 294–300. 10.1159/000357448 [DOI] [PubMed] [Google Scholar]
  • 37. Henderson AC, Ingenito EP, Salcedo ES, Moy ML, Reilly JJ, Lutchen KR. Dynamic lung mechanics in late-stage emphysema before and after lung volume reduction surgery. Respir Physiol Neurobiol 2007; 155: 234–242. [DOI] [PubMed] [Google Scholar]
  • 38. Wells JM, Washko GR, Han MK, Abbas N, Nath H, Mamary AJ, et al. Pulmonary arterial enlargement and acute exacerbations of COPD. N Engl J Med 2012; 367: 913–921. 10.1056/NEJMoa1203830 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Oswald-Mammosser M, Weitzenblum E, Quoix E, Moser G, Chaouat A, Charpentier C, et al. Prognostic factors in COPD patients receiving long-term oxygen therapy. Importance of pulmonary artery pressure. Chest 1995; 107: 1193–1198. [DOI] [PubMed] [Google Scholar]
  • 40. Johnson KM, Fain SB, Schiebler ML, Nagle S. Optimized 3d ultrashort echo time pulmonary mri. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine 2013; 70: 1241–1250. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Miller GW, Mugler JP 3rd, Sa RC, Altes TA, Prisk GK, Hopkins SR. Advances in functional and structural imaging of the human lung using proton mri. NMR in biomedicine 2014; 27: 1542–1556. 10.1002/nbm.3156 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Dournes G, Grodzki D, Macey J, Girodet PO, Fayon M, Chateil JF et al. Quiet submillimeter mr imaging of the lung is feasible with a petra sequence at 1.5 t. Radiology 2015; 276: 258–265. 10.1148/radiol.15141655 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All relevant data are within the paper.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES