Three-dimensional Isotropic Functional Imaging of Cystic Fibrosis Using Oxygen-enhanced MRI: Comparison with Hyperpolarized <sup>3</sup>He MRI

Zha, Wei; Nagle, Scott K.; Cadman, Robert V.; Schiebler, Mark L.; Fain, Sean B.

doi:10.1148/radiol.2018181148

Cited by 26 publications

(28 citation statements)

References 34 publications

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“…The whole lung VDP for 18 subjects (seven normal, five asthma, and six CF) was previously reported as part of an interim study to develop a postprocessing workflow for VDP quantification using OE MRI and compare VDP in diseased vs. normal groups . A comparison study on whole lung VDP measured from hyperpolarized 3 He vs. OE MRI for 24 subjects with CF was previously published …”

Section: Methodsmentioning

confidence: 99%

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Deep convolutional neural networks with multiplane consensus labeling for lung function quantification using UTE proton MRI

Zha

Fain

Schiebler

et al. 2019

Magnetic Resonance Imaging

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Background Ultrashort echo time (UTE) proton MRI has gained popularity for assessing lung structure and function in pulmonary imaging; however, the development of rapid biomarker extraction and regional quantification has lagged behind due to labor‐intensive lung segmentation. Purpose To evaluate a deep learning (DL) approach for automated lung segmentation to extract image‐based biomarkers from functional lung imaging using 3D radial UTE oxygen‐enhanced (OE) MRI. Study Type Retrospective study aimed to evaluate a technical development. Population Forty‐five human subjects, including 16 healthy volunteers, 5 asthma, and 24 patients with cystic fibrosis. Field Strength/Sequence 1.5T MRI, 3D radial UTE (TE = 0.08 msec) sequence. Assessment Two 3D radial UTE volumes were acquired sequentially under normoxic (21% O2) and hyperoxic (100% O2) conditions. Automated segmentation of the lungs using 2D convolutional encoder‐decoder based DL method, and the subsequent functional quantification via adaptive K‐means were compared with the results obtained from the reference method, supervised region growing. Statistical Tests Relative to the reference method, the performance of DL on volumetric quantification was assessed using Dice coefficient with 95% confidence interval (CI) for accuracy, two‐sided Wilcoxon signed‐rank test for computation time, and Bland–Altman analysis on the functional measure derived from the OE images. Results The DL method produced strong agreement with supervised region growing for the right (Dice: 0.97; 95% CI = [0.96, 0.97]; P < 0.001) and left lungs (Dice: 0.96; 95% CI = [0.96, 0.97]; P < 0.001). The DL method averaged 46 seconds to generate the automatic segmentations in contrast to 1.93 hours using the reference method (P < 0.001). Bland–Altman analysis showed nonsignificant intermethod differences of volumetric (P ≥ 0.12) and functional measurements (P ≥ 0.34) in the left and right lungs. Data Conclusion DL provides rapid, automated, and robust lung segmentation for quantification of regional lung function using UTE proton MRI. Level of Evidence: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:1169–1181.

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Section: Methodsmentioning

confidence: 99%

“…4 A comparison study on whole lung VDP measured from hyperpolarized 3 He vs. OE MRI for 24 subjects with CF was previously published. 28 3D Radial UTE OE MRI PULSE SEQUENCE. The 3D radial UTE sequence 29 was optimized to minimize TE and improve the signal-to-noise ratio (SNR) and image quality of lung imaging.…”

Section: Human Subjectsmentioning

confidence: 99%

Deep convolutional neural networks with multiplane consensus labeling for lung function quantification using UTE proton MRI

Zha

Fain

Schiebler

et al. 2019

Magnetic Resonance Imaging

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“…For example, the juxtaposition of patterns of bronchiectasis and air trapping visualized on UTE with semi-quantitative measures of regional ventilation defects from PSE maps depicts ventilation and perfusion defects local to areas of structural abnormality. This is seen in Figure 11, which exemplifies the ability to visualize the morphological and corresponding physiological abnormalities, such as ventilation defects comparable to those observed on hyperpolarized gas MRI (62), in a severe CF patient.…”

Section: Applications To Cystic Fibrosismentioning

confidence: 65%

“…OE-MRI provides a potential alternative to hyperpolarized xenon MRI to assess regional obstruction in diseases such as CF (62). The complementarity of structure and function afforded by OE MRI with UTE can provide a framework for interpreting the functional severity of structural abnormalities in CF.…”

Section: Applications To Cystic Fibrosismentioning

confidence: 99%

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“Structure-Function Imaging of Lung Disease Using Ultrashort Echo Time MRI”

et al. 2019

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The purpose of this review is to acquaint the reader with recent advances in ultra-short echo time (UTE) magnetic resonance imaging (MRI) of the lung and its implications for pulmonary MRI when used in conjunction with functional MRI techniques. UTE MRI has three critical advantages for lung applications: 1) high resolution, whole-lung morphological images without the use of ionizing radiation; 2) mitigation of the short transverse relaxation time constant (T2*) caused by magnetic susceptibility effects prominent at air-tissue interfaces; and 3) in conjunction with a radial acquisition and hard respiratory gating, mitigation of cardiac and respiratory motion artifacts, enabling free breathing exams. UTE MRI clearly shows the lung parenchymal changes due to idiopathic pulmonary fibrosis (IPF) and cystic fibrosis (CF). The use of UTE MRI, in conjunction with established functional lung MRI in chronic lung diseases, will serve to mitigate the need for computed tomography (CT) in children. Current limitations of UTE MRI include long scan times, poor delineation of thin walled structures (e.g. cysts and reticulation) due to limited spatial resolution, low signal to noise (SNR), and imperfect motion compensation. Despite these limitations, UTE MRI can now be considered as an alternative to multi-detector CT for the longitudinal follow up of the morphological changes from lung diseases in neonates, children and young adults, particularly as a complement to the unique functional capabilities of MRI.

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3D Oxygen‐Enhanced MRI at 3T MR System: Comparison With Thin‐Section CT of Quantitative Capability for Pulmonary Functional Loss Assessment and Clinical Stage Classification of COPD in Smokers

Ohno

Yui

Yoshikawa

et al. 2020

Magnetic Resonance Imaging

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Background Oxygen (O2)‐enhanced MRI is mainly performed by a 2D sequence using 1.5T MR systems but trying to be obtained by a 3D sequence using a 3T MR system. Purpose To compare the capability of 3D O2‐enhanced MRI and that of thin‐section computed tomography (CT) for pulmonary functional loss assessment and clinical stage classification of chronic obstructive pulmonary disease (COPD) in smokers. Study Type Prospective study. Population Fifty six smokers were included. Field Strength/ Sequence 3T, 3D O2‐enhanced MRIs were performed with a 3D T1‐weighted fast field echo pulse sequence using the multiple flip angles. Assessments Smokers were classified into four stages (“Without COPD,” “Mild COPD,” “Moderate COPD,” “Severe or very severe COPD”). Maps of regional changes in T1 values were generated from O2‐enhanced MR data. Regions of interest (ROIs) were then placed over the lung on all slices and averaged to determine mean T1 value change (ΔT1). Quantitative CT used the percentage of low attenuation areas within the entire lung (LAA%). Statistical Tests ΔT1 and LAA% were correlated with pulmonary functional parameters, and compared for four stages using Tukey's Honestly Significant Difference test. Discrimination analyses were performed and McNemar's test was used for a comparison of the accuracy of the indexes. Results There were significantly higher correlations between ΔT1 and pulmonary functional parameters (–0.83 ≤ r ≤ –0.71, P < 0.05) than between LAA% and the same pulmonary functional parameters (–0.76 ≤ r ≤ –0.69, P < 0.05). ΔT1 and LAA% of the “Mild COPD” and “Moderate COPD” groups were significantly different from those of the “Severe or Very Severe COPD” group (P < 0.05). Discriminatory accuracy of ΔT1 (62.5%) and ΔT1 with LAA% (67.9%) was significantly greater than that of LAA% (48.2%, P < 0.05). Data Conclusion Compared with thin‐section CT, 3D O2‐enhanced MRI has a similar capability for pulmonary functional assessment but better potential for clinical stage classification in smokers. Level of Evidence 2 Technical Efficacy Stage 1

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Three-dimensional Isotropic Functional Imaging of Cystic Fibrosis Using Oxygen-enhanced MRI: Comparison with Hyperpolarized ³He MRI

Cited by 26 publications

References 34 publications

Deep convolutional neural networks with multiplane consensus labeling for lung function quantification using UTE proton MRI

Deep convolutional neural networks with multiplane consensus labeling for lung function quantification using UTE proton MRI

“Structure-Function Imaging of Lung Disease Using Ultrashort Echo Time MRI”

3D Oxygen‐Enhanced MRI at 3T MR System: Comparison With Thin‐Section CT of Quantitative Capability for Pulmonary Functional Loss Assessment and Clinical Stage Classification of COPD in Smokers

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Three-dimensional Isotropic Functional Imaging of Cystic Fibrosis Using Oxygen-enhanced MRI: Comparison with Hyperpolarized 3He MRI

Cited by 26 publications

References 34 publications

Deep convolutional neural networks with multiplane consensus labeling for lung function quantification using UTE proton MRI

Deep convolutional neural networks with multiplane consensus labeling for lung function quantification using UTE proton MRI

“Structure-Function Imaging of Lung Disease Using Ultrashort Echo Time MRI”

3D Oxygen‐Enhanced MRI at 3T MR System: Comparison With Thin‐Section CT of Quantitative Capability for Pulmonary Functional Loss Assessment and Clinical Stage Classification of COPD in Smokers

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Three-dimensional Isotropic Functional Imaging of Cystic Fibrosis Using Oxygen-enhanced MRI: Comparison with Hyperpolarized ³He MRI