Academic radiology · 2025
Comparing Mean-anchored Generalized Linear Binning with Established Methods to Quantify Xenon-129 Ventilation Defect Percentage.
СтатьяСравнительное исследованиеПоддержка NIH: внешняя программаНазвание и аннотация: Перевод пока не подготовлен
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Hussain Riaz, Bdaiwi Abdullah S, Plummer Joseph W, Masokano Bilal I, Willmering Matthew M, Walkup Laura L, Cleveland Zackary I
Аннотация
RATIONALE AND OBJECTIVES: Hyperpolarized xenon-129 (129Xe) MRI is an established, sensitive method to assess ventilation but lacks a standardized ventilation defect quantification. We introduce mean-anchored generalized linear binning (MeanGLB, GLB) to calculate ventilation defect percentage (VDP), benchmarking its performance against reader-segmented VDP (Reader) and five widely-used automated VDP calculation methods.
MATERIALS AND METHODS: 129Xe images were acquired from 38 people with cystic fibrosis (CF) and 25 age-matched healthy controls (HCs) using 2D-spiral sequence. Flexible chest coil-induced inhomogeneities were mitigated using both N4- or a flip-angle (FA)-based bias correction. VDP was quantified using Reader, Hierarchical and Adaptive K-means clustering, mean-normalized linear binning, 99th Percentile-normalized GLB, binary Thresholding, and MeanGLB; and compared for all techniques. Additionally, VDPs obtained via automated methods were evaluated against Reader. Voxel-wise agreement with Reader-based defect maps was assessed using sensitivity, specificity and Youden's index.
RESULTS: Using N4-corrected images, all methods-except Hierarchical-showed significant difference in VDP between participants with CF and HCs (P<0.05). For FA-corrected images, similar significance was observed for all methods (P<0.05), except Hierarchical and Adaptive. While MeanGLB overestimated defects in participants with CF, for both N4- and FA-corrected images (Bland-Altman biases: -3.1% and -1.9%, respectively), it strongly correlated with Reader (r=0.97, P<0.001 both). MeanGLB achieved the highest Youden's index (∼0.75) across N4- and FA-corrected images, indicating balance of sensitivity and specificity.
CONCLUSION: MeanGLB enabled robust quantification of VDP in 129Xe ventilation MRI, independent of bias-correction algorithm. Its ability to capture subtle impairments indicates its potential for applications in pulmonary imaging.
MATERIALS AND METHODS: 129Xe images were acquired from 38 people with cystic fibrosis (CF) and 25 age-matched healthy controls (HCs) using 2D-spiral sequence. Flexible chest coil-induced inhomogeneities were mitigated using both N4- or a flip-angle (FA)-based bias correction. VDP was quantified using Reader, Hierarchical and Adaptive K-means clustering, mean-normalized linear binning, 99th Percentile-normalized GLB, binary Thresholding, and MeanGLB; and compared for all techniques. Additionally, VDPs obtained via automated methods were evaluated against Reader. Voxel-wise agreement with Reader-based defect maps was assessed using sensitivity, specificity and Youden's index.
RESULTS: Using N4-corrected images, all methods-except Hierarchical-showed significant difference in VDP between participants with CF and HCs (P<0.05). For FA-corrected images, similar significance was observed for all methods (P<0.05), except Hierarchical and Adaptive. While MeanGLB overestimated defects in participants with CF, for both N4- and FA-corrected images (Bland-Altman biases: -3.1% and -1.9%, respectively), it strongly correlated with Reader (r=0.97, P<0.001 both). MeanGLB achieved the highest Youden's index (∼0.75) across N4- and FA-corrected images, indicating balance of sensitivity and specificity.
CONCLUSION: MeanGLB enabled robust quantification of VDP in 129Xe ventilation MRI, independent of bias-correction algorithm. Its ability to capture subtle impairments indicates its potential for applications in pulmonary imaging.