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Impact of lesion size on reproducibility of quantitative measurement and radiomic features in vessel wall MRI

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Abstract
Objectives: To investigate reproducibility of quantitative measurement and radiomic features in vessel wall MRI (VW-MRI), evaluate the impact of lesion size, and identify reproducible radiomic features.

Methods: This retrospective, single-center study included 251 patients (mean age, 53 ± 12 years; 128 women) with atherosclerosis, dissection, aneurysm, moyamoya disease, and vasculitis of the intracranial arteries who underwent three-dimensional turbo spin echo T1-weighted image. Lesion thickness, volume, and signal intensity were measured, and 157 radiomic features were extracted. Intra-observer reproducibility of quantitative measurement and radiomic features was evaluated by calculating the concordance correlation coefficient (CCC) and proportion of radiomic features above the predefined CCC. The reproducibility of quantitative measurement and radiomic features according to lesion size (binary comparison and stratification into 5 and 18 groups) was evaluated.

Results: There was an overall serial increase in CCC for thickness measurement when stratified by lesion thickness and volume. There was an overall serial increase in the median CCC for radiomic features and proportion of radiomic features with CCC > 0.85 when stratified by lesion thickness and volume. Reproducibility of radiomic features was higher in the lesions with thickness ≥ 2.5 mm (median CCC, 0.97 vs. 0.89, p < .001; proportion with CCC > 0.85, 88.5% vs. 59.6%, p < .001) and volume ≥ 50 mm3 (median CCC, 0.97 vs. 0.88, p < .001; proportion with CCC > 0.85, 90.4% vs. 59.0%, p < .001). Intensity-based statistical features remained most reproducible in the thinnest and smallest lesions.

Conclusions: Intra-observer reproducibility of thickness measurement and radiomic features was affected by lesion size in VW-MRI although intensity-based statistical features remained most reproducible.
Author(s)
Minjae KimSeung Chai JungSeo Young ParkBum Woo ParkKeum Mi Choi
Issued Date
2023
Type
Article
Keyword
AtherosclerosisMagnetic resonance imagingRadiomics
DOI
10.1007/s00330-022-09207-2
URI
https://oak.ulsan.ac.kr/handle/2021.oak/17743
Publisher
EUROPEAN RADIOLOGY
Language
영어
ISSN
0938-7994
Citation Volume
33
Citation Start Page
2195
Citation End Page
2206
Appears in Collections:
Medicine > Nursing
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