Dataset Information

Association of Preoperative Antiviral Treatment With Incidences of Microvascular Invasion and Early Tumor Recurrence in Hepatitis B Virus-Related Hepatocellular Carcinoma.

ABSTRACT:

Importance

A reduced incidence of microvascular invasion (MVI) in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) may be associated with a decreased risk of early tumor recurrence and better survival after partial hepatectomy.

Objective

To examine the association of preoperative antiviral treatment (AVT) with the incidences of MVI and posthepatectomy early tumor recurrence in HBV-related HCC.

Design, setting, and participants

Data on a cohort of 2362 patients who underwent R0 resection for HBV-related HCC between January 2008 and April 2010 at the Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China, were reviewed. The median (interquartile range) postoperative follow-up was 44.8 (22.8-59.3) months. Data were analyzed from June 2016 to October 2017.

Interventions

Preoperative AVT and partial hepatectomy.

Main outcomes and measures

Overall survival and time to recurrence after surgery were calculated and compared using the Kaplan-Meier method, log-rank test, and Cox regression analysis. Independent risk factors of MVI presence were assessed by logistic regression analysis.

Results

Among 2362 included patients, 1999 (84.6%) were men, and the median (interquartile range) age was 50.6 (43.1-57.3) years. A total of 2036 patients (86.2%) did not receive any preoperative AVT, while 326 (13.8%) received ongoing AVT more than 90 days before surgery. In the non-AVT group, compared with a preoperative HBV DNA level of less than 2000 IU/mL, a preoperative HBV DNA level of 2000 IU/mL or greater was associated with an increased risk of MVI (odds ratio [OR], 1.399; 95% CI, 1.151-1.701). Compared with the non-AVT group, patients receiving AVT had a lower incidence of MVI (38.7% [126 of 326] vs 48.6% [989 of 2036]; P = .001) and reduced risk of MVI (OR, 0.758; 95% CI, 0.575-0.998). A complete response to AVT was an independent protective factor of MVI (OR, 0.690; 95% CI, 0.500-0.952). Accordingly, preoperative AVT was associated with decreased 6-month, 1-year, and 2-year recurrences vs non-AVT (14.2%, 24.6%, and 38.5%, respectively, vs 23.4%, 37.1%, and 52.3%; P < .001); AVT was protective of early tumor recurrence (hazard ratio, 0.732; 95% CI, 0.605-0.886). In addition, patients in the non-AVT group were more likely to have multiple intrahepatic recurrences (49.1% [549 of 1119] vs 36.2% [54 of 149]; P = .003) and recurrences involving multiple hepatic segments compared with patients receiving AVT.

Conclusions and relevance

A high preoperative HBV DNA level was an independent risk factor of MVI. Antiviral treatment administered more than 90 days before surgery was associated with reduced incidences of MVI and early tumor recurrence after partial hepatectomy for HBV-related HCC.

SUBMITTER: Li Z

PROVIDER: S-EPMC6233791 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundRadiomics has emerged as a new approach that can help identify imaging information associated with tumor pathophysiology. We developed and validated a radiomics nomogram for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC).MethodsTwo hundred and eight patients with pathologically confirmed HCC (training cohort: n = 146; validation cohort: n = 62) who underwent preoperative gadoxetic acid-enhanced magnetic resonance (MR) imaging were included. Least absolute shrinkage and selection operator logistic regression was applied to select features and construct signatures derived from MR images. Univariate and multivariate analyses were used to identify the significant clinicoradiological variables and radiomics signatures associated with MVI, which were then incorporated into the predictive nomogram. The performance of the radiomics nomogram was evaluated by its calibration, discrimination, and clinical utility.ResultsHigher α-fetoprotein level (p = 0.046), nonsmooth tumor margin (p = 0.003), arterial peritumoral enhancement (p < 0.001), and the radiomics signatures of hepatobiliary phase (HBP) T1-weighted images (p < 0.001) and HBP T1 maps (p < 0.001) were independent risk factors of MVI. The predictive model that incorporated the clinicoradiological factors and the radiomic features derived from HBP images outperformed the combination of clinicoradiological factors in the training cohort (area under the curves [AUCs] 0.943 vs. 0.850; p = 0.002), though the validation did not have a statistical significance (AUCs 0.861 vs. 0.759; p = 0.111). The nomogram based on the model exhibited C-index of 0.936 (95% CI 0.895-0.976) and 0.864 (95% CI 0.761-0.967) in the training and validation cohort, fitting well in calibration curves (p > 0.05). Decision curve analysis further confirmed the clinical usefulness of the nomogram.ConclusionsThe nomogram incorporating clinicoradiological risk factors and radiomic features derived from HBP images achieved satisfactory preoperative prediction of the individualized risk of MVI in patients with HCC.

Project description:BackgroundMicrovascular invasion (MVI) is an independent risk factor for postoperative recurrence of hepatocellular carcinoma (HCC). To perform a meta-analysis to investigate the diagnostic performance of radiomics for the preoperative evaluation of MVI in HCC and the effect of potential factors.Materials and methodsA systematic literature search was performed in PubMed, Embase, and the Cochrane Library for studies focusing on the preoperative evaluation of MVI in HCC with radiomics methods. Data extraction and quality assessment of the retrieved studies were performed. Statistical analysis included data pooling, heterogeneity testing and forest plot construction. Meta-regression and subgroup analyses were performed to reveal the effect of potential explanatory factors [design, combination of clinical factors, imaging modality, number of participants, and Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) applicability risk] on the diagnostic performance.ResultsTwenty-two studies with 4,129 patients focusing on radiomics for the preoperative prediction of MVI in HCC were included. The pooled sensitivity, specificity and area under the receiver operating characteristic curve (AUC) were 84% (95% CI: 81, 87), 83% (95% CI: 78, 87) and 0.90 (95% CI: 0.87, 0.92). Substantial heterogeneity was observed among the studies (I²=94%, 95% CI: 88, 99). Meta-regression showed that all investigative covariates contributed to the heterogeneity in the sensitivity analysis (P < 0.05). Combined clinical factors, MRI, CT and number of participants contributed to the heterogeneity in the specificity analysis (P < 0.05). Subgroup analysis showed that the pooled sensitivity, specificity and AUC estimates were similar among studies with CT or MRI.ConclusionRadiomics is a promising noninvasive method that has high preoperative diagnostic performance for MVI status. Radiomics based on CT and MRI had a comparable predictive performance for MVI in HCC. Prospective, large-scale and multicenter studies with radiomics methods will improve the diagnostic power for MVI in the future.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=259363, identifier CRD42021259363.