B-mode shear wave elastography can be an alternative method to vibration-controlled transient elastography according to a moderate-scale population study

Hirooka, Masashi; Nakamura, Yoshiko; Yano, Ryo; Hirooka, Kana; Morita, Makoto; Imai, Yusuke; Terada, Yoshio; Abe, Masanori; Hiasa, Yoichi

doi:10.1007/s10396-023-01333-8

Cited by 1 publication

(1 citation statement)

References 27 publications

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“…In comparison, in a large-scale study, proportional errors are more likely to occur. Therefore, as in previous studies, we established two evaluation criteria and analyzed the agreement between the two modalities [ 18 , 44 ]. As both criteria were met, we concluded through the Bland–Altman analysis that iATT was compatible with MRI-PDFF.…”

Section: Discussionmentioning

confidence: 99%

iATT liver fat quantification for steatosis grading by referring to MRI proton density fat fraction: a multicenter study

Hirooka,

Ogawa,

Koizumi

et al. 2024

J Gastroenterol

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Background Several preliminary reports have suggested the utility of ultrasound attenuation coefficient measurements based on B-mode ultrasound, such as iATT, for diagnosing steatotic liver disease. Nonetheless, evidence supporting such utility is lacking. This prospective study aimed to investigate whether iATT is highly concordant with magnetic resonance imaging (MRI)-based proton density fat fraction (MRI-PDFF) and could well distinguish between steatosis grades. Methods A cohort of 846 individuals underwent both iATT and MRI-PDFF assessments. Steatosis grade was defined as grade 0 with MRI-PDFF < 5.2%, grade 1 with 5.2% MRI-PDFF < 11.3%, grade 2 with 11.3% MRI-PDFF < 17.1%, and grade 3 with MRI-PDFF of 17.1%. The reproducibility of iATT and MRI-PDFF was evaluated using the Bland–Altman analysis and intraclass correlation coefficients, whereas the diagnostic performance of each steatosis grade was examined using receiver operating characteristic analysis. Results The Bland–Altman analysis indicated excellent reproducibility with minimal fixed bias between iATT and MRI-PDFF. The area under the curve for distinguishing steatosis grades 1, 2, and 3 were 0.887, 0.882, and 0.867, respectively. A skin-to-capsula distance of ≥ 25 mm was identified as the only significant factor causing the discrepancy. No interaction between MRI-logPDFF and MRE-LSM on iATT values was observed. Conclusions Compared to MRI-PDFF, iATT showed excellent diagnostic accuracy in grading steatosis. iATT could be used as a diagnostic tool instead of MRI in clinical practice and trials. Trial registration This study was registered in the UMIN Clinical Trials Registry (UMIN000047411).

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Section: Discussionmentioning

confidence: 99%