Objectives <p>The goal of this study was to develop a risk score based on MR elastography (MRE) to predict hepatocellular carcinoma (HCC) development in patients with chronic hepatitis B (CHB).</p> Materials and methods <p>A total of 345 patients with CHB who underwent 2D/3D MRE between July 2015 and December 2018 were enrolled and then randomly assigned to training (<i>n</i> = 243) and validation (<i>n</i> = 102) cohorts. An MRE-based HCC risk score was developed for the prediction of HCC development based on a multivariable Cox model and compared with previous clinical scores. The predictive performance was evaluated using the <i>C</i>-index&#xa0;and time-dependent ROC.</p> Results <p>The 2D/3D MRE-based risk scores incorporating age, platelet count, albumin, and liver stiffness provided better predictive performance in HCC development than three existing clinical risk scores [CAMD (cirrhosis, age, male sex, and diabetes mellitus), PAGE-B (platelet age gender-B), and mPAGE-B&#xa0;(modified platelets, age, gender-hepatitis B)] in the training (<i>C</i>-index: 0.859 and 0.872, respectively, vs 0.762, 0.754 and 0.818, all <i>p</i> value &lt; 0.05) and validation cohorts (<i>C</i>-index: 0.878 and 0.887, respectively, vs 0.815, 0.709 and 0.810, all <i>p</i> value &lt; 0.05). The 2D and 3D MRE-based risk scores provided high negative predictive values in the training and validation cohorts at 3 years (97.8–100.0%) and 5 years (94.6–100.0%) with the two optimal cut-off values of 43.2 and 69.2, respectively, and 56.5 and 71.6, respectively.</p> Conclusions <p>Both 2D and 3D MRE-based risk scores may serve as a valuable tool for predication of HCC development for CHB patients and provided superior predictive performance compared to existing clinical scores.</p> Key Points <p><Emphasis Type="BoldItalic">Question</Emphasis> <i>Can MRE be a useful component of a risk score to predict HCC development in CHB patients with sustained virological response</i>?</p> <p><Emphasis Type="BoldItalic">Findings</Emphasis> <i>2D/3D MRE-based stiffness values were independent predictors for HCC development, and the 2D/3D MRE-based risk scores demonstrated better performance than three existing clinical risk scores</i>.</p> <p><Emphasis Type="BoldItalic">Clinical relevance</Emphasis> <i>The 2D/3D MRE-based risk scores provide high negative predictive values for HCC development, which may become a noninvasive tool for clinicians to stratify CHB patients for HCC surveillance and to improve early HCC detection and reduce mortality</i>.</p> Graphical Abstract <p></p>

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MR elastography-based prediction of development of hepatocellular carcinoma in patients with chronic hepatitis B with sustained virological response

  • Haimei Chen,
  • Jie Zhu,
  • Jinhui Zhou,
  • Ziying Yin,
  • Jun Chen,
  • Sudhakar K. Venkatesh,
  • Meng Yin,
  • Richard L. Ehman,
  • Jin Wang

摘要

Objectives

The goal of this study was to develop a risk score based on MR elastography (MRE) to predict hepatocellular carcinoma (HCC) development in patients with chronic hepatitis B (CHB).

Materials and methods

A total of 345 patients with CHB who underwent 2D/3D MRE between July 2015 and December 2018 were enrolled and then randomly assigned to training (n = 243) and validation (n = 102) cohorts. An MRE-based HCC risk score was developed for the prediction of HCC development based on a multivariable Cox model and compared with previous clinical scores. The predictive performance was evaluated using the C-index and time-dependent ROC.

Results

The 2D/3D MRE-based risk scores incorporating age, platelet count, albumin, and liver stiffness provided better predictive performance in HCC development than three existing clinical risk scores [CAMD (cirrhosis, age, male sex, and diabetes mellitus), PAGE-B (platelet age gender-B), and mPAGE-B (modified platelets, age, gender-hepatitis B)] in the training (C-index: 0.859 and 0.872, respectively, vs 0.762, 0.754 and 0.818, all p value < 0.05) and validation cohorts (C-index: 0.878 and 0.887, respectively, vs 0.815, 0.709 and 0.810, all p value < 0.05). The 2D and 3D MRE-based risk scores provided high negative predictive values in the training and validation cohorts at 3 years (97.8–100.0%) and 5 years (94.6–100.0%) with the two optimal cut-off values of 43.2 and 69.2, respectively, and 56.5 and 71.6, respectively.

Conclusions

Both 2D and 3D MRE-based risk scores may serve as a valuable tool for predication of HCC development for CHB patients and provided superior predictive performance compared to existing clinical scores.

Key Points

Question Can MRE be a useful component of a risk score to predict HCC development in CHB patients with sustained virological response?

Findings 2D/3D MRE-based stiffness values were independent predictors for HCC development, and the 2D/3D MRE-based risk scores demonstrated better performance than three existing clinical risk scores.

Clinical relevance The 2D/3D MRE-based risk scores provide high negative predictive values for HCC development, which may become a noninvasive tool for clinicians to stratify CHB patients for HCC surveillance and to improve early HCC detection and reduce mortality.

Graphical Abstract