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Nomogram for preoperative estimation of microvascular invasion risk in hepatocellular carcinoma

  • 0Medical School of Chinese PLA, Beijing, China; Department of Pathology and Hepatology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Translational Oncology +

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May 9, 2024

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May 9, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

A new nomogram accurately predicts microvascular invasion (MVI) in hepatocellular carcinoma (HCC) before surgery. This tool aids in surgical planning by identifying MVI risk factors like serum carnosine dipeptidase 1 and tumor characteristics.

Area Of Science

  • Hepatobiliary Surgery
  • Oncology
  • Diagnostic Imaging

Background

  • Microvascular invasion (MVI) is a critical prognostic factor for recurrence in hepatocellular carcinoma (HCC) patients post-surgery.
  • Accurate preoperative prediction of MVI is essential for optimizing surgical strategies and patient management.

Purpose Of The Study

  • To develop and validate a predictive nomogram for estimating the presence of MVI in HCC patients prior to liver resection.
  • To identify independent predictors of MVI for incorporation into the nomogram.

Main Methods

  • Retrospective analysis of 260 HCC patients, divided into training (n=182) and validation (n=78) cohorts.
  • Univariate and multivariate logistic regression analyses to identify significant MVI predictors.
  • Nomogram construction and assessment of its predictive performance (discrimination, calibration, clinical utility).

Main Results

  • Serum carnosine dipeptidase 1 (CNDP1), cirrhosis, multiple tumors, and tumor diameter ≥3 cm were identified as independent predictors of MVI.
  • The nomogram demonstrated strong predictive performance with concordance indices of 0.833 (training) and 0.821 (validation).
  • The nomogram showed good calibration and clinical usefulness, validated by decision curve analysis.

Conclusions

  • A novel nomogram incorporating serum CNDP1, cirrhosis, tumor number, and diameter effectively predicts preoperative MVI risk in HCC.
  • This tool offers personalized risk assessment, aiding clinicians in surgical decision-making for HCC patients.

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