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  1. Home
  3. Diffusion-based Virtual Mr Elastography For Predicting Recurrence Of Solitary Hepatocellular Carcinoma After Hepatectomy.
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  3. Diffusion-based Virtual Mr Elastography For Predicting Recurrence Of Solitary Hepatocellular Carcinoma After Hepatectomy.

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Diffusion-based virtual MR elastography for predicting recurrence of solitary hepatocellular carcinoma after

Jiejun Chen1,2,3, Wei Sun1, Wentao Wang1,2,3

  • 1Department of Radiology, Zhongshan Hospital, Fudan University, No. 180 Fenglin Road, Xuhui District, Shanghai, 200032, China.

Cancer Imaging : the Official Publication of the International Cancer Imaging Society
|August 13, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Diffusion-based virtual MR elastography (vMRE) can predict hepatocellular carcinoma (HCC) recurrence. Higher diffusion-based virtual shear modulus (μdiff) values correlate with poorer recurrence-free survival and specific histopathological markers.

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Hepatocellular carcinoma (HCC) recurrence after hepatectomy remains a clinical challenge.
  • Accurate preoperative prediction of HCC recurrence is crucial for patient management.
  • Diffusion-based virtual MR elastography (vMRE) shows potential for assessing tissue stiffness.

Purpose of the Study:

  • To evaluate the capability of diffusion-based vMRE in predicting HCC recurrence.
  • To identify histopathological characteristics associated with HCC recurrence.
  • To develop predictive models for tumor recurrence after hepatectomy.

Main Methods:

  • Recruited 87 HCC patients undergoing preoperative MRI with DWI (b-values: 200, 1500 s/mm²).
  • Calculated apparent diffusion coefficient (ADC) values and diffusion-based virtual shear modulus (μdiff).
  • Analyzed MR morphological features and utilized Cox proportional hazards model for risk factor identification.

    • Main Results:

    • 35 patients (40.2%) experienced tumor recurrence.
    • Higher μdiff and corona enhancement (preoperative) and higher μdiff, microvascular invasion, and histologic tumor grade (postoperative) were significant prognostic factors for recurrence-free survival (RFS).
    • HCC patients with μdiff > 2.325 kPa had significantly poorer 5-year RFS (p < 0.001) and higher μdiff correlated with CK19 expression and high Ki-67 labeling index.

    Conclusions:

    • Diffusion-based virtual shear modulus (μdiff) is a potential predictor of RFS in HCC patients.
    • μdiff values are associated with CK19 expression and Ki-67 labeling index, offering insights into tumor biology.
    • vMRE parameters can aid in preoperative risk stratification for HCC recurrence.