Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Sep 1;110(9):5672-5684.
doi: 10.1097/JS9.0000000000001752.

Multimodal imaging-based prediction of recurrence for unresectable HCC after downstage and resection-cohort study

Affiliations

Multimodal imaging-based prediction of recurrence for unresectable HCC after downstage and resection-cohort study

Hanyu Jiang et al. Int J Surg. .

Abstract

Background: Surgical resection (SR) following transarterial chemoembolization (TACE)-based downstaging is a promising treatment for unresectable hepatocellular carcinoma (uHCC), and identification of patients at high-risk of postoperative recurrence may assist individualized treatment.

Purpose: To develop and externally validate preoperative and postoperative prognostic models integrating multimodal CT and digital subtraction angiography features as well as clinico-therapeutic-pathological features for predicting disease-free survival (DFS) after TACE-based downstaging therapy.

Materials and methods: From March 2008 to August 2022, 488 consecutive patients with Barcelona Clinic Liver Cancer (BCLC) A/B uHCC receiving TACE-based downstaging therapy and subsequent SR were included from four tertiary-care hospitals. All CT and digital subtraction angiography images were independently evaluated by two blinded radiologists. In the derivation cohort ( n =390), the XGBoost algorithm was used for feature selection, and Cox regression analysis for developing nomograms for DFS (time from downstaging to postoperative recurrence or death). In the external testing cohort ( n =98), model performances were compared with five major staging systems.

Results: The preoperative nomogram included over three tumors [hazard ratio (HR), 1.42; P =0.003], intratumoral artery (HR, 1.38; P =0.006), TACE combined with tyrosine kinase inhibitor (HR, 0.46; P <0.001) and objective response to downstaging therapy (HR, 1.60; P <0.001); while the postoperative nomogram included over three tumors (HR, 1.43; P =0.013), intratumoral artery (HR, 1.38; P =0.020), TACE combined with tyrosine kinase inhibitor (HR, 0.48; P <0.001), objective response to downstaging therapy (HR, 1.69; P <0.001) and microvascular invasion (HR, 2.20; P <0.001). The testing dataset C-indexes of the preoperative (0.651) and postoperative (0.687) nomograms were higher than all five staging systems (0.472-0.542; all P <0.001). Two prognostically distinct risk strata were identified according to these nomograms (all P <0.001).

Conclusion: Based on 488 patients receiving TACE-based downstaging therapy and subsequent SR for BCLC A/B uHCCs, the authors developed and externally validated two nomograms for predicting DFS, with superior performances than five major staging systems and effective survival stratification.

PubMed Disclaimer

Conflict of interest statement

All authors have no conflicts of interest to disclose.

Figures

Figure 1
Figure 1
Study flowchart. TACE, transarterial chemoembolization; SR, surgical resection; HCC, hepatocellular carcinoma.
Figure 2
Figure 2
Examples of CT and digital subtraction angiography imaging features.
Figure 3
Figure 3
Preoperative (A) and postoperative (B) nomograms. DT, downstaging therapy; DFS, disease-free survival; MVI, microvascular invasion; OR, objective response as per modified Response Evaluation Criteria in Solid Tumors; TKI, tyrosine kinase inhibitor; TACE, transarterial chemoembolization.
Figure 4
Figure 4
Performances of the preoperative and postoperative nomograms as well as five major staging systems for predicting disease-free survival. Model discrimination measured with time-dependent areas under the receiver operating characteristic curves at various time points for the derivation (A) and external testing (B) cohorts. Model overall fitness measured by integrated Brier score for the derivation (C) and external testing (D) cohorts. Model clinical usefulness measured by decision curves for the derivation (E) and external testing (F) cohorts. Model calibration measured by calibration plots for the preoperative nomogram (G) and postoperative nomogram (H) for the external testing cohort.
Figure 5
Figure 5
Kaplan–Meier curves for disease-free survival (DFS) and overall survival (OS) outcomes for different risk groups. DFS outcomes for risk groups defined by the preoperative nomogram for the derivation (A) and external testing (B) cohorts. OS outcomes for risk groups defined by the preoperative nomogram for the derivation (C) and external testing (D) cohorts. DFS outcomes for risk groups defined by the postoperative nomogram for the derivation (E) and external testing (F) cohorts. OS outcomes for risk groups defined by the postoperative nomogram for the derivation (G) and external testing (H) cohorts. DFS, disease-free survival; OS, overall survival.
Figure 6
Figure 6
Subgroup analyses of disease-free survival (DFS) and overall survival (OS) between risk groups. (A) DFS comparisons between two risk groups based on the preoperative nomogram; (B) OS comparison between two risk groups based on the preoperative nomogram; (C) DFS comparison between two risk groups based on the postoperative nomogram; (D) OS comparison between two risk groups based on the postoperative nomogram. DFS, disease-free survival; OS, overall survival.

Similar articles

Cited by

References

    1. Sung H, Ferlay J, Siegel RL, et al. . Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2021;71:209–249. - PubMed
    1. Forner A, Reig M, Bruix J. Hepatocellular carcinoma. Lancet 2018;391:1301–1314. - PubMed
    1. European Association for the Study of the Liver . Electronic address: easloffice@easloffice.eu, European Association for the Study of the Liver. EASL Clinical Practice Guidelines: management of hepatocellular carcinoma. J Hepatol 2018;69:182–236. - PubMed
    1. Zhou J, Sun H, Wang Z, et al. . Guidelines for the diagnosis and treatment of primary liver cancer (2022 Edition). Liver Cancer 2023;12:405–444. - PMC - PubMed
    1. Vitale A, Trevisani F, Farinati F, et al. . Treatment of hepatocellular carcinoma in the precision medicine era: from treatment stage migration to therapeutic hierarchy. Hepatology 2020;72:2206–2218. - PubMed

MeSH terms