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

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. 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. 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. 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. 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.

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Publication Details

Journal
Radiation Oncology
Published
2025-10-29
DOI
https://doi.org/10.1186/s13014-025-02734-4
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Bo Ren, Weilin Kong, Xijie Zhang, Wence Zhou et al.
Radiation Oncology
Hepatocellular Carcinoma Treatment and Prognosis
article

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

Bo Ren, Weilin Kong, Xijie Zhang, Wence Zhou, Bo Liu, Yuan Xu, Wentao Qi
article en

Abstract

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. 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. 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. 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. 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.

Radiation OncologyVol. 20(1)
Qingdao University (CN), Affiliated Hospital of Taishan Medical University (CN), Affiliated Hospital of Qingdao University (CN), Lanzhou University Second Hospital (CN), Shandong First Medical University (CN), Shandong Agricultural University (CN), Lanzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 59%
Hepatocellular Carcinoma Treatment and Prognosis
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