Background <p>Postoperative radiotherapy (RT) is increasingly used in hepatocellular carcinoma (HCC) patients with high-risk pathological features to reduce recurrence. However, RT may compromise liver regeneration (LR), particularly in patients with underlying hepatic dysfunction. Accurate evaluation of LR potential is therefore critical for individualized treatment planning.</p> Methods <p>In this retrospective, multicenter study, 315 HCC patients were enrolled—139 in the training cohort and 85 and 91 in two external validation cohorts. All patients underwent postoperative intensity-modulated radiotherapy (IMRT), and pre-RT portal-venous phase contrast-enhanced computed tomography (CE-CT) scans were analyzed to extract whole-liver histogram features. Patients with a ≥ 10% increase in remnant liver volume within 1 year were classified as effective liver regeneration (ELR), and the remainder as impaired liver regeneration (ILR). Independent predictors of ELR were identified using logistic regression, and a nomogram was developed and evaluated with ROC, calibration, and decision-curve analyses.</p> Results <p>Among the 315 patients, 187 (59.4%) achieved ELR and 128 (40.6%) showed ILR. Multivariate analysis identified kurtosis, mean liver dose (Liver-Dmean), standardized remnant liver volume (SRLV), and fibrosis stage as independent predictors of ELR. The nomogram demonstrated robust performance with AUCs of 0.866 (95% CI: 0.804–0.928) in the training cohort and 0.794 (95% CI: 0.698–0.889) and 0.733 (95% CI: 0.617–0.848) in the validation cohorts.</p> Conclusion <p>We established and externally validated a CE-CT histogram-based nomogram that accurately predicts LR following adjuvant IMRT in high-risk HCC patients. This model offers a clinically applicable tool to optimize postoperative management by balancing oncologic control with preservation of hepatic function.</p> Trial registration <p>This is a study that follows the Declaration of Helsinki and good clinical practice guidelines, and was approved by the Ethics Committee of Lanzhou University Second Hospital, the second affiliated hospital of shandong first medical university and the Affiliated Hospital of Qingdao University(approval no. 2025&#xa0;A-539). As a retrospective analysis without any intervention in patient treatment, the Ethics Committees waived the requirement for individual informed consent.</p> Graphical Abstract <p></p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

A contrast‑enhanced CT histogram‑driven nomogram for predicting post‑radiotherapy liver regeneration in hepatocellular carcinoma

  • Bo Liu,
  • Yuan Xu,
  • Xijie Zhang,
  • Wei Qi,
  • Bo Ren,
  • Wenjia Kong,
  • Wence Zhou

摘要

Background

Postoperative radiotherapy (RT) is increasingly used in hepatocellular carcinoma (HCC) patients with high-risk pathological features to reduce recurrence. However, RT may compromise liver regeneration (LR), particularly in patients with underlying hepatic dysfunction. Accurate evaluation of LR potential is therefore critical for individualized treatment planning.

Methods

In this retrospective, multicenter study, 315 HCC patients were enrolled—139 in the training cohort and 85 and 91 in two external validation cohorts. All patients underwent postoperative intensity-modulated radiotherapy (IMRT), and pre-RT portal-venous phase contrast-enhanced computed tomography (CE-CT) scans were analyzed to extract whole-liver histogram features. Patients with a ≥ 10% increase in remnant liver volume within 1 year were classified as effective liver regeneration (ELR), and the remainder as impaired liver regeneration (ILR). Independent predictors of ELR were identified using logistic regression, and a nomogram was developed and evaluated with ROC, calibration, and decision-curve analyses.

Results

Among the 315 patients, 187 (59.4%) achieved ELR and 128 (40.6%) showed ILR. Multivariate analysis identified kurtosis, mean liver dose (Liver-Dmean), standardized remnant liver volume (SRLV), and fibrosis stage as independent predictors of ELR. The nomogram demonstrated robust performance with AUCs of 0.866 (95% CI: 0.804–0.928) in the training cohort and 0.794 (95% CI: 0.698–0.889) and 0.733 (95% CI: 0.617–0.848) in the validation cohorts.

Conclusion

We established and externally validated a CE-CT histogram-based nomogram that accurately predicts LR following adjuvant IMRT in high-risk HCC patients. This model offers a clinically applicable tool to optimize postoperative management by balancing oncologic control with preservation of hepatic function.

Trial registration

This is a study that follows the Declaration of Helsinki and good clinical practice guidelines, and was approved by the Ethics Committee of Lanzhou University Second Hospital, the second affiliated hospital of shandong first medical university and the Affiliated Hospital of Qingdao University(approval no. 2025 A-539). As a retrospective analysis without any intervention in patient treatment, the Ethics Committees waived the requirement for individual informed consent.

Graphical Abstract