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DCE-MRI based radiomics nomogram for preoperatively differentiating combined hepatocellular-cholangiocarcinoma from mass-forming intrahepatic cholangiocarcinoma

  • Hepatobiliary-Pancreas
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Abstract

Objective

To establish a radiomics nomogram based on dynamic contrast-enhanced (DCE) MR images to preoperatively differentiate combined hepatocellular-cholangiocarcinoma (cHCC-CC) from mass-forming intrahepatic cholangiocarcinoma (IMCC).

Methods

A total of 151 training cohort patients (45 cHCC-CC and 106 IMCC) and 65 validation cohort patients (19 cHCC-CC and 46 IMCC) were enrolled. Findings of clinical characteristics and MR features were analyzed. Radiomics features were extracted from the DCE-MR images. A radiomics signature was built based on radiomics features by the least absolute shrinkage and selection operator algorithm. Univariate and multivariate analyses were used to identify the significant clinicoradiological variables and construct a clinical model. The radiomics signature and significant clinicoradiological variables were then incorporated into the radiomics nomogram by multivariate logistic regression analysis. Performance of the radiomics nomogram, radiomics signature, and clinical model was assessed by receiver operating characteristic and area under the curve (AUC) was compared.

Results

Eleven radiomics features were selected to develop the radiomics signature. The radiomics nomogram integrating the alpha fetoprotein, background liver disease (cirrhosis or chronic hepatitis), and radiomics signature showed favorable calibration and discrimination performance with an AUC value of 0.945 in training cohort and 0.897 in validation cohort. The AUCs for the radiomics signature and clinical model were 0.848 and 0.856 in training cohort and 0.792 and 0.809 in validation cohort, respectively. The radiomics nomogram outperformed both the radiomics signature and clinical model alone (p < 0.05).

Conclusion

The radiomics nomogram based on DCE-MRI may provide an effective and noninvasive tool to differentiate cHCC-CC from IMCC, which could help guide treatment strategies.

Key Points

The radiomics signature based on dynamic contrast-enhanced magnetic resonance imaging is useful to preoperatively differentiate cHCC-CC from IMCC.

The radiomics nomogram showed the best performance in both training and validation cohorts for differentiating cHCC-CC from IMCC.

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Abbreviations

ADC:

Apparent diffusion coefficient

AFP:

Alpha fetoprotein

AP:

Arterial phase

AUC:

Area under curve

CA19-9:

Cancer antigen 19-9

CHCC-CC:

Combined hepatocellular-cholangiocarcinoma

CT:

Computed tomography

DP:

Delayed phase

HCC:

Hepatocellular carcinoma

ICC:

Intrahepatic cholangiocarcinoma

IMCC:

Mass-forming intrahepatic cholangiocarcinoma

LASSO:

Least absolute shrinkage and selection operator

MRI:

Magnetic resonance imaging

PP:

Portal phase

ROC:

Receiver operating characteristic curve

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Funding

This study was supported by grants from the Shanghai Municipal Key Clinical Specialty (shslczdzk03202).

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Correspondence to Feipeng Zhu or Pengju Xu.

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The scientific guarantor of this publication is Pengju Xu.

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The authors declare no competing intrests.

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No complex statistical methods were necessary for this paper.

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Written informed consent was waived by the Institutional Review Board.

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Institutional Review Board approval was obtained.

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• retrospective

• diagnostic or prognostic study

•performed at one institution

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Zhou, Y., Zhou, G., Zhang, J. et al. DCE-MRI based radiomics nomogram for preoperatively differentiating combined hepatocellular-cholangiocarcinoma from mass-forming intrahepatic cholangiocarcinoma. Eur Radiol 32, 5004–5015 (2022). https://doi.org/10.1007/s00330-022-08548-2

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  • DOI: https://doi.org/10.1007/s00330-022-08548-2

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