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Head-to-head comparison among FAST, MAST, and multiparametric MRI-based new score in diagnosing at-risk MASH

  • Kento Imajo,
  • Yusuke Saigusa,
  • Takashi Kobayashi,
  • Koki Nagai,
  • Shinya Nishida,
  • Nobuyoshi Kawamura,
  • Hiroyoshi Doi,
  • Michihiro Iwaki,
  • Asako Nogami,
  • Yasushi Honda,
  • Takaomi Kessoku,
  • Yuji Ogawa,
  • Hiroyuki Kirikoshi,
  • Shigehiro Kokubu,
  • Daisuke Utsunomiya,
  • Hirokazu Takahashi,
  • Shinichi Aishima,
  • Yoshio Sumida,
  • Satoru Saito,
  • Masato Yoneda,
  • Andrea Dennis,
  • Stella Kin,
  • Anneli Andersson,
  • Atsushi Nakajima

摘要

Objectives

New scores were developed to identify at-risk metabolic dysfunction-associated steatohepatitis (MASH) using multiparametric MRI (mpMRI).

Materials and methods

A prospective study was conducted on 176 patients with suspected or diagnosed metabolic dysfunction-associated steatotic liver disease (MASLD) paired with an MR scan, vibration-controlled transient elastography (VCTE), and liver biopsy. Liver stiffness measurement (LSM) using magnetic resonance elastography (MRE), proton density fat fraction (PDFF), and mpMRI-based corrected T1 (cT1) were combined to develop a one-step strategy, named MPcT (MRE + PDFF + cT1, combined score), and a two-step strategy—MRE-based LSM followed by PDFF with cT1 (M-PcT, paired score) for diagnosing at-risk MASH. Each model was categorized using rule-in and rule-out criteria (three categorized analyses). To avoid overfitting, the diagnostic accuracies were evaluated based on 5-fold cross-validation.

Results

PDFF + cT1 (PcT) had the highest diagnostic performance for severe activity (hepatic inflammation plus ballooning grade ≥ 3) and for NAS ≥ 4 (active MASH). Areas under receiver operating characteristic curves (AUROCs) of M-PcT (0.832) for detecting at-risk MASH were significantly higher than those of Fibroscan-AST (FAST) (0.744, p = 0.017), MRI-AST (MAST) (0.710, p = 0.002), and MPcT (0.695, p < 0.001) in three categorized analysis. Following the rule-in criteria, positive predictive values of M-PcT (84.5%) were higher than those of FAST (73.5%), MAST (70.0%), and MPcT (66.7%). Following the rule-out criteria, negative predictive values of M-PcT (88.7%) were higher than those of FAST (84.0%), MAST (73.9%), and MPcT (84.9%).

Conclusions

The two-step strategy, M-PcT (paired score), showed the reliability of rule-in/-out for at-risk MASH, with better predictive performance compared with FAST and MAST (combined score).

Clinical trial registration

This study is registered with ClinicalTrials.gov (number, UMIN000012757).

Key Points

Question There is no mpMRI-based method for detecting as-risk MASH (NAFLD activity score4 with fibrosis stage2) like FAST and MAST scores.

Findings MRE-based LSMs followed by PDFF with cT1 (M-PcT) were more useful in detecting at-risk MASH than the combined score (FAST and MAST).

Clinical relevance By combining MRE and PDFF with cT1, it becomes possible to evaluate the pathology of MASH without the need for a liver biopsy, assisting in prognosis prediction and decision-making for treatment options.

Graphical Abstract