Microvascular Invasion Is a Better Predictor of Tumor Recurrence and Overall Survival Following Surgical Resection for Hepatocellular Carcinoma Compared to the Milan Criteria

Microvascular Invasion Status and Its Survival Impact in Hepatocellular Carcinoma Depend on Tissue Sampling Protocol

BACKGROUND

The aim of this work is to explore the impact of the number of sampling sites (NuSS) and sampling location on microvascular invasion (MVI) detection rate and long-term survival of hepatocellular carcinoma (HCC), and determine the minimum NuSS for sufficient MVI detection.

PATIENTS AND METHODS

From January 2008 to March 2017, 1144 HCC patients who underwent hepatectomy were retrospectively enrolled. Associations between NuSS and MVI positive rates and overall survival were investigated. NuSS thresholds were determined by Chow test and confirmed prospectively in 305 patients from April 2017 to February 2019. In the prospective cohort, the distribution of MVI in different sampling locations and its prognostic effect was evaluated.

RESULTS

MVI positive rates increased as NuSS increased, steadily reaching a plateau when NuSS reached a threshold. A threshold of four, six, eight, and eight sampling sites within paracancerous parenchyma ≤ 1 cm from tumor was required for detecting MVI in solitary tumors measuring 1.0-3.0, 3.1-4.9, and ≥ 5.0 cm and multiple tumors. Patients with adequate NuSS achieved longer survival than those with inadequate NuSS [hazard ratio (HR) = 0.75, P = 0.043]. For all MVI-positive patients, MVI could be detected positive in paracancerous parenchyma ≤ 1 cm from tumor. Patients with MVI positive in paracancerous parenchyma > 1 cm had higher recurrence risk than those with MVI positive only in parenchyma ≤ 1 cm (HR = 6.05, P < 0.001).

CONCLUSIONS

Adequate NuSS is associated with higher MVI detection rate and better survival of HCC patients. We recommend four, six, eight, and eight as the cut-points for evaluating MVI sampling quality and patients' prognostic stratification in the subgroups of solitary tumors measuring 1.0-3.0 cm, 3.1-4.9 cm and ≥ 5.0 cm and multiple tumors, respectively.

The review of international clinical guidelines and clinical trial results for the diagnosis of hepatocellular cancer (HCC) for the period 2014–2020

The purpose of this publication is to analyze international clinical guidelines and clinical trial data on the diagnosis of hepatocellular carcinoma and demonstrate the possibilities of using MRI with hepatobiliary magnetic resonance contrast agent. As well as an evaluation its diagnostic advantages in comparison with other diagnostic methods such as ultrasound, CT and MRI with extracellular contrast agents.

Material and methods. Abstracts of 331 scientific articles for the period 2014–2020 were selected in the PubMed information and analytical system for the keywords: “hepatocellular carcinoma”, “US”, “CT”, “MRI”, “gadoxetic acid”. Articles about technical aspects and clinical cases were excluded. After the analysis of full-text articles, 32 publications were selected.

Results. The presented review has demonstrated the diagnostic advantages of MRI with hepatobiliary magnetic resonance contrast agents and a wide range of its application at all stages of care for a patient with hepatocellular carcinoma.

Conclusion. Despite the existing variety of methods for diagnosing hepatocellular carcinoma, the leading direction in this area is currently MRI with gadoxetic acid. The high diagnostic efficiency of gadoxetic acid makes it possible to increase the accuracy of the imaging and to choose the optimal management for each patient.

Preoperative MR imaging for predicting early recurrence of solitary hepatocellular carcinoma without microvascular invasion

OBJECTIVES

This study aimed to identify preoperative MR imaging features for predicting early recurrence after curative resection of solitary hepatocellular carcinoma (HCC) without microvascular invasion (MVI).

METHODS

124 patients with MVI-negative HCC who underwent preoperative dynamic contrast-enhanced 1.5-T MR imaging before surgical resection were included. Liver Imaging Reporting and Data System (LI-RADS v2018) imaging features and three non-LI-RADS MR imaging features for predicting early recurrence (intrahepatic recurrence<2 years) were identified by univariable and multivariable analyses. A nomogram was constructed for individualized risk estimation, and its predictive accuracy and discriminative ability were identified by concordance index (C-index) and calibration curve.

RESULTS

In multivariable analysis, tumor size (p = 0.045), nonsmooth tumor margin (p = 0.013), and presence of mosaic architecture (p = 0.035) were independent significant variables associated with early recurrence. These were all incorporated to establish the nomogram. The C-index of the nomogram was 0.743 (95 % CI: 0.697-0.788).

CONCLUSION

At dynamic contrast-enhanced MR imaging, tumor size, nonsmooth tumor margin, and presence of mosaic architecture may be helpful to predict early recurrence of solitary HCC without MVI after curative resection.

Importance of Microvascular Invasion Risk and Tumor Size on Recurrence and Survival of Hepatocellular Carcinoma After Anatomical Resection and Non-anatomical Resection

Purpose: To establish a valid prediction model to prognose the occurrence of microvascular invasion (MVI), and to compare the efficacy of anatomic resection (AR) or non-anatomic resection (NAR) for hepatocellular carcinoma (HCC). Methods: Two hundred twenty-eight patients with HCC who underwent surgical treatment were enrolled. Their hematological indicators, MRI imaging features, and outcome data were acquired. Result: In the multivariable analysis, alpha-fetoprotein >15 ng/mL, neutrophil to lymphocyte ratio >3.8, corona enhancement, and peritumoral hypointensity on hepatobiliary phase were associated with MVI. According on these factors, the AUROC of the predictive model in the primary and validation cohorts was 0.884 (95% CI: 0.829, 0.938) and 0.899 (95% CI: 0.821, 0.967), respectively. Patients with high risk of MVI or those with low risk of MVI but tumor size >5 cm in the AR group were associated with a lower rate of recurrence and death than patients in the NAR group; however, when patients are in the state of low-risk MVI with tumor size >5 cm, there is no difference in the rate of recurrence and death between AR and NAR. Conclusion: Our predictive model for HCC with MVI is convenient and accurate. Patients with high-risk of MVI or low-risk of MVI but tumor size >5 cm executing AR is of great necessity.

Nujiangexanthone A Inhibits Hepatocellular Carcinoma Metastasis via Down Regulation of Cofilin 1

Hepatocellular carcinoma (HCC) is one of the malignant tumors with poor prognosis. High expression level of cofilin 1 (CFL1) has been found in many types of cancers. However, the role of CFL1 in HCC hasn’t been known clearly. Here, we found that CFL1 was up regulated in human HCC and significantly associated with both overall survival and disease-free survival in HCC patients. Nujiangexanthone A (NJXA), the caged xanthones, isolated from gamboge plants decreased the expression of CFL1, which also inhibited the migration, invasion and metastasis of HCC cells in vitro and in vivo. Down regulation of CFL1 inhibited aggressiveness of HCC cells, which mimicked the effect of NJXA. Mechanism study indicated that, knockdown of CFL1 or treatment with NJXA increased the level of F-actin and disturbed the balance between F-actin and G-actin. In conclusion, our findings reveal the role of CFL1 in HCC metastasis through the CFL1/F-actin axis, and suggest that CFL1 may be a potential prognostic marker and a new therapeutic target. NJXA can effectively inhibit the metastasis of HCC cells by down regulating the expression of CFL1, which indicates the potential of NJXA for preventing metastasis in HCC.

Indication of Liver Transplantation for Hepatocellular Carcinoma Should Be Reconsidered in Case of Microvascular Invasion and Multilocular Tumor Occurrence

Liver transplantation (LT) is routinely performed for hepatocellular carcinoma (HCC) in cirrhosis without major vascular invasion. Although the adverse influence of microvascular invasion is recognized, its occurrence does not contraindicate LT. We retrospectively analyzed in our LT cohort the significance of microvascular invasion on survival and demonstrate bridging procedures. At our hospital, 346 patients were diagnosed with HCC, 171 patients were evaluated for LT, and 153 were listed at Eurotransplant during a period of 11 years. Among these, 112 patients received LT and were included in this study. Overall survival after 1, 3 and 5 years was 86.3%, 73.9%, and 67.9%, respectively. Microvascular invasion led to significantly reduced overall (p = 0.030) and disease-free survival (p = 0.002). Five-year disease-free survival with microvascular invasion was 10.5%. Multilocular tumor occurrence with simultaneous microvascular invasion revealed the worst prognosis. In our LT cohort, predominant bridging treatment was transarterial chemoembolization (TACE) and the number of TACE significantly correlated with poorer overall survival after LT (p = 0.028), which was confirmed in multiple Cox regression analysis for overall and disease-free survival (p = 0.015 and p = 0.011). Microvascular tumor invasion is significantly associated with reduced prognosis after LT, which is aggravated by simultaneous occurrence of multiple lesions. Therefore, indication strategies for LT should be reconsidered.

Effect of Microvascular Invasion Risk on Early Recurrence of Hepatocellular Carcinoma After Surgery and Radiofrequency Ablation

OBJECTIVE

We compared surgical resection (SR) and radiofrequency ablation (RFA) as first-line treatment in patients with hepatocellular carcinoma (HCC) based on the risk of microvascular invasion (MVI).

BACKGROUND

The best curative treatment modality between SR and RFA in patients with HCC with MVI remains unclear.

METHODS

Data from 2 academic cancer center-based cohorts of patients with a single, small (≤3 cm) HCC who underwent SR were used to derive (n = 276) and validate (n = 101) prediction models for MVI using clinical and imaging variables. The MVI prediction model was developed using multivariable logistic regression analysis and externally validated. Early recurrence (<2 years) based on risk stratification between SR (n = 276) and RFA (n = 240) was evaluated via propensity score matching.

RESULTS

In the multivariable analysis, alpha-fetoprotein (≥15 ng/mL), protein induced by vitamin K absence-II (≥48 mAU/mL), arterial peritumoral enhancement, and hepatobiliary peritumoral hypointensity on magnetic resonance imaging were associated with MVI. Incorporating these factors, the area under the receiver operating characteristic curve of the predictive model was 0.87 (95% confidence interval: 0.82-0.92) and 0.82 (95% confidence interval: 0.74-0.90) in the derivation and validation cohorts, respectively. SR was associated with a lower rate of early recurrence than RFA based on the risk of MVI after propensity score matching (P < 0.05).

CONCLUSIONS

Our model predicted the risk of MVI in patients with a small (≤ 3 cm) HCC with high accuracy. Patients with MVI who had undergone RFA were more vulnerable to recurrence than those who had undergone SR.

A Nomogram Estimation for the Risk of Microvascular Invasion in Hepatocellular Carcinoma Patients Meeting the Milan Criteria

OBJECTIVE

We aimed to develop and validate a nomogram for preoperatively estimating the risk of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) within the Milan criteria.

METHODS

The clinical data of 312 HCC patients who underwent liver surgery at the xxx from Jan 2017 to Dec 2019 were retrospectively collected. Then, the study population was categorized into the training and validation group based on the date of surgery. To identify risk factors related to MVI, we conducted a series of logistic regression analyses. By combining these risk factors, a nomogram was then established. We further clarified the usability of our model through the area under the ROC curve (AUC), decision curve analysis (DCA), and calibration curve.

RESULTS

Pathological examination revealed MVI in 108 patients with HCC (34.6%). Three independent predictors were identified: level of alpha-fetoprotein (AFP) exceeds 194 ng/mL (OR = 2.20, 95% CI: 1.13-4.31, p = 0.021), size of tumor (OR = 1.59; 95% CI: 1.18-2.12; P < 0.001) and number of tumors (OR = 3.37, 95% CI: 1.64-7.28, p < 0.001). A nomogram was subsequently built with an AUC of 0.73 and 0.74 respectively in the training cohort and validation cohort. The calibration curve showed a relatively high consistency between predicted probability and observed outcomes. Besides, the DCA revealed that the model was clinically beneficial for preoperatively predicting MVI in HCC.

CONCLUSIONS

A model for evaluating the risk of MVI HCC patients was developed and validated. The model could provide clinicians with a relatively reliable basis for optimizing treatment decisions.

Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning

PURPOSE

Microvascular invasion (MVI) is a valuable predictor of survival in hepatocellular carcinoma (HCC) patients. This study developed predictive models using eXtreme Gradient Boosting (XGBoost) and deep learning based on CT images to predict MVI preoperatively.

METHODS

In total, 405 patients were included. A total of 7302 radiomic features and 17 radiological features were extracted by a radiomics feature extraction package and radiologists, respectively. We developed a XGBoost model based on radiomics features, radiological features and clinical variables and a three-dimensional convolutional neural network (3D-CNN) to predict MVI status. Next, we compared the efficacy of the two models.

RESULTS

Of the 405 patients, 220 (54.3%) were MVI positive, and 185 (45.7%) were MVI negative. The areas under the receiver operating characteristic curves (AUROCs) of the Radiomics-Radiological-Clinical (RRC) Model and 3D-CNN Model in the training set were 0.952 (95% confidence interval (CI) 0.923-0.973) and 0.980 (95% CI 0.959-0.993), respectively (p = 0.14). The AUROCs of the RRC Model and 3D-CNN Model in the validation set were 0.887 (95% CI 0.797-0.947) and 0.906 (95% CI 0.821-0.960), respectively (p = 0.83). Based on the MVI status predicted by the RRC and 3D-CNN Models, the mean recurrence-free survival (RFS) was significantly better in the predicted MVI-negative group than that in the predicted MVI-positive group (RRC Model: 69.95 vs. 24.80 months, p < 0.001; 3D-CNN Model: 64.06 vs. 31.05 months, p = 0.027).

CONCLUSION

The RRC Model and 3D-CNN models showed considerable efficacy in identifying MVI preoperatively. These machine learning models may facilitate decision-making in HCC treatment but requires further validation.

Concurrent bile duct resection versus concomitant thrombectomy for hepatocellular carcinoma associated with bile duct tumor thrombus: a propensity score matching analysis

Background

Hepatocellular carcinoma (HCC) associated with bile duct tumor thrombus (BDTT) is uncommon in clinical practice. Surgical resection can achieve better survival than non-operative palliative treatments. However, there is great controversy regarding the optimal surgical modality, particularly regarding the approach to remove BDTT in patients with HCC with macroscopic BDTT.

Methods

Data from consecutive patients who underwent radical surgery for HCC and macroscopic BDTT at the Eastern Hepatobiliary Surgery Hospital and Fujian Provincial Hospital from January 2009 to December 2016 were retrospectively reviewed. The survival outcomes of patients who underwent hepatectomy combined with extrahepatic bile duct resection (the EBDR group) were compared with those of patients undergoing liver resection plus thrombectomy (the thrombectomy group) using propensity score matching (PSM). Univariate and multivariate Cox analyses were performed to identify independent prognostic factors for overall survival (OS) and recurrence-free survival (RFS).

Results

217 patients included in this study were divided into two groups: the EBDR group (n=30) and the thrombectomy group (n=187). A total of 90 patients were matched by PSM with a 1:2 ratio. Before PSM, the OS and RFS rates were comparable between the two groups (for OS, P=0.517; for RFS, P=0.211). After PSM, the OS rates did not differ statistically significantly between the EBDR and thrombectomy groups (P=0.134). Nevertheless, the RFS rate of the EBDR group was significantly higher compared to that of the thrombectomy group (P=0.020). Multivariate analysis demonstrated that some traditional risk factors, such as tumor size and microscopic resection margin, were more important prognostic factors than the BDTT type.

Conclusions

For patients with HCC and macroscopic BDTT, hepatectomy combined with extrahepatic bile duct resection is associated with a reduced recurrence rate in comparison with concurrent thrombectomy. Further large-scale, prospective studies are warranted to evaluate the impact of different surgical modalities on these patients’ survival.

Impact of preoperative TACE on incidences of microvascular invasion and long-term post-hepatectomy survival in hepatocellular carcinoma patients: A propensity score matching analysis

BACKGROUND

To study the influence of preoperative transcatheter arterial chemoembolization (TACE) on the incidence of microvascular invasion (MVI) and long-term survival outcomes in hepatocellular carcinoma (HCC) patients.

METHODS

Between January 1, 2010 and December 1, 2014, consecutive HCC patients who underwent curative liver resection were enrolled in this study. Univariable and multivariable regression analyses were used to identify independent predictive factors of MVI. Propensity score matching (PSM) was used to compare the incidences of MVI and prognosis between patients who did and did not receive preoperative TACE. Factors associated with Disease-Free Survival (DFS) and Overall survival (OS) were identified using Cox regression analyses.

RESULTS

Of 1624 patients, 590 received preoperative TACE. The incidence of MVI was significantly lower in patients with preoperative TACE than those without preoperative TACE (39.15% vs. 45.36%, p = 0.015). After PSM, the incidences of MVI were similar in the two groups (38.85% vs. 41.10%, p = 0.473). Multivariable regression analysis revealed preoperative TACE to have no impact on the incidence of MVI. Before PSM, survival of patients with preoperative TACE was significantly worse than those without preoperative TACE (p = 0.032 for DFS and p = 0.027 for OS). After PSM, the difference became insignificant (p = 0.465 for DFS and p = 0.307 for OS). After adjustment for other prognostic variables in the propensity-matched cohort, preoperative TACE was still found not to be associated with DFS and OS after HCC resection. Both before and after PSM, the prognosis of patients was not significantly different between the two groups for BCLC stages 0, A, and B.

CONCLUSIONS

Preoperative TACE did not influence the incidence of MVI and prognosis of patients with HCC who underwent 'curative' liver resection.

AI-Based Radiological Imaging for HCC: Current Status and Future of Ultrasound

Hepatocellular carcinoma (HCC) is a common cancer worldwide. Recent international guidelines request an identification of the stage and patient background/condition for an appropriate decision for the management direction. Radiomics is a technology based on the quantitative extraction of image characteristics from radiological imaging modalities. Artificial intelligence (AI) algorithms are the principal axis of the radiomics procedure and may provide various results from large data sets beyond conventional techniques. This review article focused on the application of the radiomics-related diagnosis of HCC using radiological imaging (computed tomography, magnetic resonance imaging, and ultrasound (B-mode, contrast-enhanced ultrasound, and elastography)), and discussed the current role, limitation and future of ultrasound. Although the evidence has shown the positive effect of AI-based ultrasound in the prediction of tumor characteristics and malignant potential, posttreatment response and prognosis, there are still a number of issues in the practical management of patients with HCC. It is highly expected that the wide range of applications of AI for ultrasound will support the further improvement of the diagnostic ability of HCC and provide a great benefit to the patients.

Deep Learning With 3D Convolutional Neural Network for Noninvasive Prediction of Microvascular Invasion in Hepatocellular Carcinoma

BACKGROUND

Microvascular invasion (MVI) is a critical prognostic factor of hepatocellular carcinoma (HCC). However, it could only be obtained by postoperative histological examination.

PURPOSE

To develop an end-to-end deep-learning models based on MRI images for preoperative prediction of MVI in HCC patients who underwent surgical resection.

STUDY TYPE

Retrospective.

POPULATION

Two hundred and thirty-seven patients with histologically confirmed HCC.

FIELD STRENGTH

1.5 T and 3.0 T.

SEQUENCE

Axial T₂ -weighted (T₂ -w) with turbo spin echo sequence, T₂ -Spectral Presaturation with Inversion Recovery (T₂ -SPIR), and dynamic contrast-enhanced (DCE) imaging with fat suppressed enhanced T₁ high-resolution isotropic volume examination.

ASSESSMENT

The patients were randomly divided into training (N = 158) and validation (N = 79) sets. Data augmentation by random rotation was performed on the training set and the sample size increased to 1940 for each MR sequence. A three-dimensional convolutional neural network (3D CNN) was used to develop four deep-learning models, including three single-layer models based on single-sequence, and fusion model combining three sequences. MVI status was obtained from the postoperative pathology reports.

STATISTICAL TESTS

The dice similarity coefficient (DSC) and Hausdorff distance (HD) were applied to assess the similarity and reproducibility between the manual segmentations of tumor from two radiologists. Receiver operating characteristic curve analysis was used to evaluate model performance. MVI was identified in 92 (38.8%) patients. Good reproducibility with interobserver DSCs of 0.90, 0.89, and 0.89 and HDs of 4.09, 3.67, and 3.60 was observed for PVP, T₂ WI, and T₂ -SPIR, respectively. The fusion model achieved an area under the curve (AUC) of 0.81, sensitivity of 69%, and specificity of 79% in the training set and 0.72, sensitivity of 55%, and specificity of 81% in the validation set.

DATA CONCLUSION

3D CNN model may serve as a noninvasive tool to predict MVI in HCC, whereas its accuracy needs to be enhanced with larger cohort.

LEVEL OF EVIDENCE

3 TECHNICAL EFFICACY: Stage 2.

The effects of several postoperative adjuvant therapies for hepatocellular carcinoma patients with microvascular invasion after curative resection: a systematic review and meta-analysis

Background

For patients with hepatocellular carcinoma (HCC) with microvascular invasion (MVI) after curative resection, the effects of various postoperative adjuvant therapies are not summarized in detail, and the comparison between the effects of various adjuvant therapies is still unclear. Thus, we collected existing studies on postoperative adjuvant therapies for patients with HCC with MVI after curative resection and analyzed the effects of various adjuvant therapies.

Method

We collected all studies on postoperative adjuvant therapy for patients with HCC with MVI after curative resection from PubMed, EMBASE, Cochrane Library and SinoMed ending on May 1, 2019. Overall survival (OS) and disease-free/recurrence-free survival (RFS) between each group were compared in these studies by calculating the pooled hazard ratio (HR) and 95% confidence interval (CI). All statistical analyses were assessed by two authors independently.

Result

A total of 13 studies were included in this study, including 824 postoperative adjuvant transarterial chemoembolization (pa-TACE) patients, 90 postoperative radiotherapy patients, 57 radiofrequency ablation (RFA)/re-resection patients, 16 sorafenib patients and 886 postoperative conservative treatment patients. The results showed that pa-TACE significantly improved OS and RFS compared with postoperative conservative treatment in patients with HCC with MVI after curative resection (HR: 0.64, 95% CI: 0.55–0.74, p < 0.001; HR: 0.70, 95% CI: 0.62–0.78, p < 0.001, respectively). There was no significant difference in OS between pa-TACE and radiotherapy in patients with HCC with MVI (HR: 1.75, 95% CI: 0.92–3.32, p = 0.087). RFS in patients with HCC with MVI after pa-TACE was worse than that after postoperative adjuvant radiotherapy (HR: 2.29, 95% CI: 1.43–3.65, p < 0.001). The prognosis of pa-TACE and RFA/re-resection in patients with MVI with recurrent HCC had no significant differences (HR: 0.65, 95% CI: 0.09–4.89, p = 0.671). Adjuvant treatments significantly improved the OS and RFS of patients compared with the postoperative conservative group (HR: 0.580, 95% CI: 0.480–0.710, p < 0.001; HR: 0.630, 95% CI: 0.540–0.740, p < 0.001, respectively).

Conclusion

Compared with postoperative conservative treatment, pa-TACE, postoperative radiotherapy and sorafenib can improve the prognosis of patients with hepatocellular carcinoma with microvascular invasion after curative resection. Postoperative radiotherapy can reduce the recurrence of patients with HCC with MVI after curative resection compared with pa-TACE.

S100P as a novel biomarker of microvascular invasion and portal vein tumor thrombus in hepatocellular carcinoma

BACKGROUND

Portal vein tumor thrombus (PVTT) and microvascular invasion (MVI) are types of intrahepatic vascular metastasis of hepatocellular carcinoma (HCC) and are highly correlated with poor prognosis. However, the underlying biomarkers of PVTT and MVI are unclear.

METHODS

We identified a PVTT/MVI-associated gene S100P by cDNA microarray analysis, and assess the potential value of serum S100P measurement in the differential diagnosis of HCC and prediction of MVI status with large retrospective and perspective cohort studies.

RESULTS

The mRNA and protein of S100P was increased in HCCs with PVTT or MVI. High S100P immunostaining in tumors was correlated with inferior tumor-free survival. Serum S100P values discriminated patients with HCCs from those with benign liver tumors, and it showed predictive potential of MVI status in both retrospective and perspective cohorts. S100P may regulate HCC tumorigenicity and invasive ability; S100P also was associated with up-regulation of CD44, which may mediate HCC cell adhesion to form PVTT/MVI.

CONCLUSIONS

Serum S100P may be a novel differential diagnostic marker for HCC and a potential predictor of MVI status pre-surgery for HCC patients. S100P overexpression in HCC is highly correlated with the formation of PVTT and MVI, which may make S100P as a potential therapeutic target for HCC metastasis.

Development and Validation of a Machine Learning Prognostic Model for Hepatocellular Carcinoma Recurrence After Surgical Resection

Surgical resection remains primary curative treatment for patients with hepatocellular carcinoma (HCC) while over 50% of patients experience recurrence, which calls for individualized recurrence prediction and early surveillance. This study aimed to develop a machine learning prognostic model to identify high-risk patients after surgical resection and to review importance of variables in different time intervals. The patients in this study were from two centers including Eastern Hepatobiliary Surgery Hospital (EHSH) and Mengchao Hepatobiliary Hospital (MHH). The best-performed model was determined, validated, and applied to each time interval (0-1 year, 1-2 years, 2-3 years, and 3-5 years). Importance scores were used to illustrate feature importance in different time intervals. In addition, a risk heat map was constructed which visually depicted the risk of recurrence in different years. A total of 7,919 patients from two centers were included, of which 3,359 and 230 patients experienced recurrence, metastasis or died during the follow-up time in the EHSH and MHH datasets, respectively. The XGBoost model achieved the best discrimination with a c-index of 0.713 in internal validation cohort. Kaplan-Meier curves succeed to stratify external validation cohort into different risk groups (p < 0.05 in all comparisons). Tumor characteristics contribute more to HCC relapse in 0 to 1 year while HBV infection and smoking affect patients' outcome largely in 3 to 5 years. Based on machine learning prediction model, the peak of recurrence can be predicted for individual HCC patients. Therefore, clinicians can apply it to personalize the management of postoperative survival.

The clinical significance of microvascular invasion in the surgical planning and postoperative sequential treatment in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common and most lethal malignant tumors in the world. Microvascular invasion (MVI) is a major risk factor for survival outcomes and intrahepatic metastasis after resection in patients with HCC. Relevant English literatures retrieved using PubMed on the research progress of MVI in patients with HCC were reviewed. For HCC patients, especially those with MVI, it is very important to develop a comprehensive and sequential treatment plan to support the long-term survival of patients. This manuscript reviewed and analyzed the risk factors for MVI; the preoperative prediction of MVI, which informs the selection of surgical strategies; and the current situation and future direction of comprehensive postoperative treatment strategies; to provide a basis for the comprehensive treatment of HCC patients with MVI. For HCC patients with MVI, the preoperative prediction of MVI may play a certain guiding role in planning procedures, and the comprehensive sequential postoperative pathological detection of HCC MVI may provide a basis for treatment decisions.

Role of artificial intelligence in hepatobiliary and pancreatic surgery

Over the past decade, enhanced preoperative imaging and visualization, improved delineation of the complex anatomical structures of the liver and pancreas, and intra-operative technological advances have helped deliver the liver and pancreatic surgery with increased safety and better postoperative outcomes. Artificial intelligence (AI) has a major role to play in 3D visualization, virtual simulation, augmented reality that helps in the training of surgeons and the future delivery of conventional, laparoscopic, and robotic hepatobiliary and pancreatic (HPB) surgery; artificial neural networks and machine learning has the potential to revolutionize individualized patient care during the preoperative imaging, and postoperative surveillance. In this paper, we reviewed the existing evidence and outlined the potential for applying AI in the perioperative care of patients undergoing HPB surgery.

Integration of pre-surgical blood test results predict microvascular invasion risk in hepatocellular carcinoma

Microvascular invasion (MVI) is one of the most important factors leading to poor prognosis for hepatocellular carcinoma (HCC) patients, and detection of MVI prior to surgical operation could great benefit patient's prognosis and survival. Since it is still lacking effective non-invasive strategy for MVI detection before surgery, novel MVI determination approaches were in urgent need. In this study, complete blood count, blood test and AFP test results are utilized to perform preoperative prediction of MVI based on a novel interpretable deep learning method to quantify the risk of MVI. The proposed method termed as "Interpretation based Risk Prediction" can estimate the MVI risk precisely and achieve better performance compared with the state-of-art MVI risk estimation methods with concordance indexes of 0.9341 and 0.9052 on the training cohort and the independent validation cohort, respectively. Moreover, further analyses of the model outputs demonstrate that the quantified risk of MVI from our model could serve as an independent preoperative risk factor for both recurrence-free survival and overall survival of HCC patients. Thus, our model showed great potential in quantification of MVI risk and prediction of prognosis for HCC patients.

Radiomics Analysis of MR Imaging with Gd-EOB-DTPA for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Investigation and Comparison of Different Hepatobiliary Phase Delay Times

Purpose

To investigate whether the radiomics analysis of MR imaging in the hepatobiliary phase (HBP) can be used to predict microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC).

Method

A total of 130 patients with HCC, including 80 MVI-positive patients and 50 MVI-negative patients, who underwent MR imaging with Gd-EOB-DTPA were enrolled. Least absolute shrinkage and selection operator (LASSO) regression was applied to select radiomics parameters derived from MR images obtained in the HBP 5 min, 10 min, and 15 min images. The selected features at each phase were adopted into support vector machine (SVM) classifiers to establish models. Multiple comparisons of the AUCs at each phase were performed by the Delong test. The decision curve analysis (DCA) was used to analyze the classification of MVI-positive and MVI-negative patients.

Results

The most predictive features between MVI-positive and MVI-negative patients included 9, 8, and 14 radiomics parameters on HBP 5 min, 10 min, and 15 min images, respectively. A model incorporating the selected features produced an AUC of 0.685, 0.718, and 0.795 on HBP 5 min, 10 min, and 15 min images, respectively. The predictive model for HBP 5 min, 10 min and 15 min showed no significant difference by the Delong test. DCA indicated that the predictive model for HBP 15 min outperformed the models for HBP 5 min and 10 min.

Conclusions

Radiomics parameters in the HBP can be used to predict MVI, with the HBP 15 min model having the best differential diagnosis ability.

Radiomics of hepatocellular carcinoma

The diagnosis of hepatocellular carcinoma relies largely on non-invasive imaging, and is well suited for radiomics analysis. Radiomics is an emerging method for quantification of tumor heterogeneity by mathematically analyzing the spatial distribution and relationships of gray levels in medical images. The published studies on radiomics analysis of HCC provide encouraging data demonstrating potential utility for prediction of tumor biology, molecular profiles, post-therapy response, and outcome. The combination of radiomics data and clinical/laboratory information provides added value in many studies. Radiomics is a multi-step process that requires optimization and standardization, the development of semi-automated or automated segmentation methods, robust data quality control, and refinement of algorithms and modeling approaches for high-throughput data analysis. While radiomics remains largely in the research setting, the strong associations of predictive models and nomograms with certain pathologic, molecular, and immune markers with tumor aggressiveness and patient outcomes, provide great potential for clinical applications to inform optimized treatment strategies and patient prognosis.

Ideal Surgical Margin to Prevent Early Recurrence After Hepatic Resection for Hepatocellular Carcinoma

BACKGROUNDS AND AIMS

Postoperative early recurrence after hepatic resection for hepatocellular carcinoma (HCC) poses a challenge to surgeons, and the effect of a surgical margin is still controversial. This study aimed to identify an ideal margin to prevent early recurrence.

METHODS

A total of 226 consecutive patients who underwent primary curative hepatic resection for solitary and primary HCC were enrolled. The definition of early recurrence was determined using the minimum P value approach. Logistic regression analysis was used to identify the risk factors of early recurrence. The receiver-operating characteristic (ROC) curve was used to identify the optimal cut-off of the surgical margin and early recurrence.

RESULTS

Recurrence within 8 months induced the poorest overall survival (P = 2×10^-15). ROC analysis showed that the optimal cut-off value of the surgical margin was 7 mm. The risk factors of early recurrence (≤ 8-month recurrence) were preoperative alpha-fetoprotein levels ≥ 100 ng/ml (Odds ratio [OR] 4.92 [2.28-10.77], P < 0.0001) and a surgical margin < 7 mm (OR 3.09 [1.26-8.85], P = 0.01) by multivariable analysis. The probability of early recurrence ranged from 5.0% in the absence of any factors to 43.5% in the presence of both factors. Among patients with alpha-fetoprotein levels ≥ 100 ng/ml, non-capsule formation, or microvascular invasion, there was a significant difference in 5-year overall survival between surgical margins of < 7 mm and ≥ 7 mm.

CONCLUSIONS

A > 7-mm margin is important to prevent early recurrence. Patients with HCC and alpha-fetoprotein levels > 100 ng/ml, non-capsule formation, or microvascular invasion may have a survival benefit from a ≥ 7-mm margin.

Distinct Impacts of Pre-Operative Antiviral Treatment on Post-Operative Outcomes of HBV-related Hepatocellular Carcinoma: A Landmark Analysis

Background: The effect of anti-viral treatment (AVT) initiated before surgery (pre-operative AVT) on HBV-related hepatocellular carcinoma (HCC) has been controversial. This study aimed to elucidate the prognostic significance of pre-operative AVT for HCC patients who received hepatectomy. Materials and Methods: A large-scale retrospective study was conducted based on a cohort consisting of 1937 HBV-related HCC patients who underwent R0 liver resection between January 2011 and December 2012. Propensity score matching (PSM) method was adopted to balance covariates and landmark survival analyses were performed to visualize effects in different phases after surgery. Results: After PSM, a total of matched 744 patients (372 in each group) were recruited. The patients in the pre-operative AVT group had lower HBV-DNA loading levels and better recurrence-free survival (RFS) than those in the non-AVT group. The 1, 3, 5-year RFS rates of two groups were 67.3%, 49.0%, and 43.1% vs. 66.7%, 41.1% and 18.5%, respectively (P<0.001). Landmark survival analyses demonstrated that pre-operative AVT could improve RFS, and the effect was beginning to show after the first 12 months. There was no significant difference of overall survival (OS) between the two groups (P=0.543), and the landmark survival analyses indicated that pre-operative AVT could improve OS and this effect was beginning to show after 36 months. Additionally, multivariate Cox regression analyses revealed that larger tumor (>5cm), esophageal and gastric varices, lymph node metastasis were independent risk factors of RFS, and larger tumor (>5cm) and ascites were independent risk factors of OS. Conclusions: Pre-operative AVT could significantly improve the RFS, and could not improve short-term OS (< 36 months) but could better long-term survival of the patients with HBV-HCC after surgery.

A standardized pathological proposal for evaluating microvascular invasion of hepatocellular carcinoma: a multicenter study by LCPGC

BACKGROUND AND AIMS

Microvascular invasion (MVI) is a key pathological factor that severely affects the postoperative prognosis of patients with hepatocellular carcinoma (HCC). However, no MVI classification schemes based on standardized gross sampling protocols of HCC are available at present.

METHODS

119 HCC specimens were sampled at multiple sites (3-, 7-, and 13 points) for the optimum MVI detection rate. 16,144 resected HCCs were graded as M0, M1 or M2 by adopting three-tiered MVI grading (MVI-TTG) scheme based on the seven-point sampling protocol (SPSP). Survival analyses were performed on 2573 patients to explore the advantages of MVI-TTG.

RESULTS

The MVI detection rate determined by SPSP was significantly higher than that determined by the 3-point sampling method (34.5% vs. 47.1%, p = 0.048), but was similar to that determined by the 13-point sampling method (47.1% vs. 51.3%, p = 0.517). Among 16,144 resected HCCs, the proportions of M0, M1 and M2 specimens according to SPSP were 53.4%, 26.2% and 20.4%, respectively. Postoperative survival analysis in 2573 HCC patients showed that the 3-year recurrence rates in M0, M1 and M2 MVI groups were 62.5%, 71.6% and 86.1%, respectively (p < 0.001), and the corresponding 3-year overall survival (OS) rates were 94.1%, 87.5% and 67.0%, respectively (p < 0.001). M1 grade was associated with early recurrence, while M2 grade was associated with both early and late recurrence. MVI-TTG had a larger area under the curve and net benefit rate than the two-tiered MVI grading scheme for predicting time to recurrence and OS.

CONCLUSIONS

SPSP is a practical method to balance the efficacy of sampling numbers and MVI detection rates. MVI-TTG based on SPSP is a better prognostic predictor than the two-tiered MVI scheme. The combined use of SPSP and MVI-TTG is recommended for the routine pathological diagnosis of HCC.

Models to predict disease-free survival for hepatocellular carcinoma patients with surgical resections

BACKGROUND AND OBJECTIVES

Precise prognostic prediction for an individual hepatocellular carcinoma (HCC) patient before and after liver resection is important. We aimed to establish simple prognostic models to predict disease-free survival (DFS) for these patients.

METHODS

Six hundred and ninety-eight HCC patients with liver resections were reviewed. Preoperative (model 1) and postoperative (model 2) nomogram-based scoring systems were constructed by multivariate analyses, and DFS was estimated.

RESULTS

Among 698 patients, 490 (70.2%) patients had tumor recurrence at a median follow-up of 84.4 months. Risk factors of tumor recurrence in model 1 included viral hepatitis, platelet count, albumin, indocyanine green retention rate, multiplicity of tumor, and radiologic total tumor volume (TTV). Prognostic variables identified in model 2 were viral hepatitis, platelet count, multiplicity of tumor, cirrhosis, microvascular invasion, and pathologic TTV. By nomogram in model 1, the patients were classified into three groups with 5-year DFS of 61.0%, 35.7%, and 21.1%, respectively (P < .0001). In model 2, the patients were divided into five groups with 5-year DFS of 58.0%, 43.7%, 24.0%, 15.4%, and 0.0%, respectively (P < .0001).

CONCLUSION

Based on nomogram models, DFS for the patients who had liver resection for HCC can be predicted before liver resection and re-assessed after liver resection.

Microvascular Venous Invasion in Hepatocellular Carcinoma: Why Do Recurrences Occur?

PURPOSE

Hepatocellular carcinoma is the most common primary cancer of the liver. It is almost always associated with cirrhosis and it is usually diagnosed in later stages of the disease. Furthermore, recurrence rate following liver transplantation ranges between 15 and 30%. The most important factor determining the recurrence is vascular invasion.

METHODS

In this review, the issue of microvascular invasion causing hepatocellular carcinoma recurrence is reviewed. Macroscopic vascular invasion is almost easy to diagnose on radiologic evaluation. However, microscopic vascular invasion is almost always diagnosed with pathologic evaluation. On the other hand, microscopic vascular invasion is associated with early recurrences and reduced disease-free survival. The type of vessel that is invaded determines the nature of the spread of the tumor cells. Invasion of the hepatic venous tributaries leads to systemic metastasis whereas portal venous invasions lead to intrahepatic spread of the tumor. Microscopic vascular invasion should be diagnosed before liver transplantation or liver resection in order to deliver the appropriate therapy to the patients.

RESULTS

Yet, there is no ideal marker to suggest microscopic vascular invasion before any intervention. Markers such as alpha-fetoprotein, des carboxy prothrombin, or gamma-glutamyl transferase have been found to be correlated with microscopic vascular invasion. These parameters are not very efficient to be used in routine clinical practice.

CONCLUSION

Therefore, further research is needed to define ideal marker associated with microscopic vascular invasion.

Radiomics Analysis Based on Multiparametric MRI for Predicting Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy

BACKGROUND

Preoperative prediction of early recurrence (ER) of hepatocellular carcinoma (HCC) plays a critical role in individualized risk stratification and further treatment guidance.

PURPOSE

To investigate the role of radiomics analysis based on multiparametric MRI (mpMRI) for predicting ER in HCC after partial hepatectomy.

STUDY TYPE

Retrospective.

POPULATION

In all, 113 HCC patients (ER, n = 58 vs. non-ER, n = 55), divided into training (n = 78) and validation (n = 35) cohorts.

FIELD STRENGTH/SEQUENCE

1.5T or 3.0T, gradient-recalled-echo in-phase T₁ -weighted imaging (I-T₁ WI) and opposed-phase T₁ WI (O-T₁ WI), fast spin-echo T₂ -weighted imaging (T₂ WI), spin-echo planar diffusion-weighted imaging (DWI), and gradient-recalled-echo contrast-enhanced MRI (CE-MRI).

ASSESSMENT

In all, 1146 radiomics features were extracted from each image sequence, and radiomics models based on each sequence and their combination were established via multivariate logistic regression analysis. The clinicopathologic-radiologic (CPR) model and the combined model integrating the radiomics score with the CPR risk factors were constructed. A nomogram based on the combined model was established.

STATISTICAL TESTS

Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminative performance of each model. The potential clinical usefulness was evaluated by decision curve analysis (DCA).

RESULTS

The radiomics model based on I-T₁ WI, O-T₁ WI, T₂ WI, and CE-MRI sequences presented the best performance among all radiomics models with an area under the ROC curve (AUC) of 0.771 (95% confidence interval (CI): 0.598-0.894) in the validation cohort. The combined nomogram (AUC: 0.873; 95% CI: 0.756-0.989) outperformed the radiomics model and the CPR model (AUC: 0.742; 95% CI: 0.577-0.907). DCA demonstrated that the combined nomogram was clinically useful.

DATA CONCLUSION

The mpMRI-based radiomics analysis has potential to predict ER of HCC patients after hepatectomy, which could enhance risk stratification and provide support for individualized treatment planning.

EVIDENCE LEVEL

4.

TECHNICAL EFFICACY

Stage 4.

Radiomic Feature-Based Predictive Model for Microvascular Invasion in Patients With Hepatocellular Carcinoma

Objective

This study aimed to build and evaluate a radiomics feature-based model for the preoperative prediction of microvascular invasion (MVI) in patients with hepatocellular carcinoma.

Methods

A total of 145 patients were retrospectively included in the study pool, and the patients were divided randomly into two independent cohorts with a ratio of 7:3 (training cohort: n = 101, validation cohort: n = 44). For a pilot study of this predictive model another 18 patients were recruited into this study. A total of 1,231 computed tomography (CT) image features of the liver parenchyma without tumors were extracted from portal-phase CT images. A least absolute shrinkage and selection operator (LASSO) logistic regression was applied to build a radiomics score (Rad-score) model. Afterwards, a nomogram, including Rad-score as well as other clinicopathological risk factors, was established with a multivariate logistic regression model. The discrimination efficacy, calibration efficacy, and clinical utility value of the nomogram were evaluated.

Results

The Rad-score scoring model could predict MVI with the area under the curve (AUC) of 0.637 (95% CI, 0.516–0.758) in the training cohort as well as of 0.583 (95% CI, 0.395–0.770) in the validation cohort; however, the aforementioned discriminative approach could not completely outperform those existing predictors (alpha fetoprotein, neutrophilic granulocyte, and preoperative hemoglobin). The individual predictive nomogram which included the Rad-score, alpha fetoprotein, neutrophilic granulocyte, and preoperative hemoglobin showed a better discrimination efficacy with AUC of 0.865 (95% CI, 0.786–0.944), which was higher than the conventional methods’ AUCs (nomogram vs Rad-score, alpha fetoprotein, neutrophilic granulocyte, and preoperative hemoglobin at P < 0.001, P = 0.025, P < 0.001, and P = 0.001, respectively). When applied to the validation cohort, the nomogram discrimination efficacy was still outbalanced those above mentioned three remaining methods (AUC: 0.705; 95% CI, 0.537–0.874). The calibration curves of this proposed method showed a satisfying consistency in both cohorts. A prospective pilot analysis showed that the nomogram could predict MVI with an AUC of 0.844 (95% CI, 0.628–1.000).

Conclusions

The radiomics feature-based predictive model improved the preoperative prediction of MVI in HCC patients significantly. It could be a potentially valuable clinical utility.

Hepatocellular Carcinoma Demonstrates Heterogeneous Growth Patterns in a Multicenter Cohort of Patients With Cirrhosis

BACKGROUND AND AIMS

There are limited data on hepatocellular carcinoma (HCC) growth patterns, particularly in Western cohorts, despite implications for surveillance, prognosis, and treatment. Our study's aim was to quantify tumor doubling time (TDT) and identify correlates associated with indolent and rapid growth.

APPROACH AND RESULTS

We performed a retrospective multicenter cohort study of patients with cirrhosis diagnosed with HCC from 2008 to 2017 at six US and European health systems with two or more contrast-enhanced imaging studies performed ≥ 30 days apart prior to HCC treatment. Radiologists independently measured tumors in three dimensions to calculate TDT and specific growth rate (SGR). We used multivariable ordinal logistic regression to identify factors associated with indolent (TDT > 365 days) and rapid (TDT < 90 days) tumor growth. In the primary cohort (n = 242 patients from four centers), median TDT was 229 days (interquartile range [IQR], 89-627) and median SGR was 0.3% per day (IQR, 0.1%-0.8%). Over one-third (38%) of HCCs had indolent growth, 36.8% intermediate growth, and 25.2% rapid growth. In multivariable analysis, indolent growth was associated with larger tumor diameter (odds ratio [OR], 1.15, 95% confidence interval [CI], 1.03-1.30) and alpha-fetoprotein < 20 ng/mL (OR, 1.90; 95% CI, 1.12-3.21). Indolent growth was more common in nonviral than viral cirrhosis (50.9% versus 32.1%), particularly in patients with T1 HCC (OR, 3.41; 95% CI, 1.08-10.80). Median TDT (169 days; IQR 74-408 days) and SGR (0.4% per day) were similar in an independent cohort (n = 176 patients from two centers).

CONCLUSIONS

In a large Western cohort of patients with HCC, we found heterogeneous tumor growth patterns, with one-fourth exhibiting rapid growth and over one-third having indolent growth. Better understanding different tumor growth patterns may facilitate a precision approach to prognostication and treatment.

Texture analysis on preoperative contrast-enhanced magnetic resonance imaging identifies microvascular invasion in hepatocellular carcinoma

BACKGROUND

Radiomic texture analysis quantifies tumor heterogeneity. The aim of this study is to determine if radiomics can predict biologic aggressiveness in HCC and identify tumors with MVI.

METHODS

Single-center, retrospective review of HCC patients undergoing resection/ablation with curative intent from 2009 to 2017. DICOM images from preoperative MRIs were analyzed with texture analysis software. Texture analysis parameters extracted on T1, T2, hepatic arterial phase (HAP) and portal venous phase (PVP) images. Multivariate logistic regression analysis evaluated factors associated with MVI.

RESULTS

MVI was present in 52.2% (n = 133) of HCCs. On multivariate analysis only T1 mean (OR = 0.97, 95%CI 0.95-0.99, p = 0.043) and PVP entropy (OR = 4.7, 95%CI 1.37-16.3, p = 0.014) were associated with tumor MVI. Area under ROC curve was 0.83 for this final model. Empirical optimal cutpoint for PVP tumor entropy and T1 tumor mean were 5.73 and 23.41, respectively. At these cutpoint values, sensitivity was 0.68 and 0.5, respectively and specificity was 0.64 and 0.86. When both criteria were met, the probability of MVI in the tumor was 87%.

CONCLUSION

Tumor entropy and mean are both associated with MVI. Texture analysis on preoperative imaging correlates with microscopic features of HCC and can be used to predict patients with high-risk tumors.

Clinical impact of anatomical resection on long-term outcomes after hepatectomy for primary solitary hepatocellular carcinoma with or without preoperative positron emission tomography positivity

Background

There is little evidence indicating that anatomical resection (AR) is associated with improved survival in patients with solitary hepatocellular carcinoma (HCC) who were preoperatively evaluated by positron emission tomography (PET). The aim of our study was to compare the oncologic outcomes of AR in PET-positive versus PET-negative patients with HCC.

Methods

From January 2007 to September 2015, 259 patients with preoperative PET underwent hepatectomy as the primary treatment for solitary HCC. Patients were divided into four groups according to PET uptake and hepatectomy type [AR or non-anatomical resection (NAR)]: Group 1 (PET-negative and AR, n=62); Group 2 (PET-negative and NAR, n= 46); Group 3 (PET-positive and AR, n=100); Group 4 (PET-positive and NAR, n=51).

Results

PET positivity was associated with higher protein induced by vitamin K antagonist-II (P=0.025), lager tumor size (P=0.05), microvascular invasion (MVI) (P=0.012), and portal vein invasion (P=0.031). In Kaplan-Meier analysis for RFS, Group 1 showed remarkable difference from Group 3 and Group 4 (P=0.045, P=0.023, respectively). In the PET-positive subgroup with HCC under 3 cm, AR was associated with better RFS than NAR (P=0.016).

Conclusions

A combination of AR and PET negativity showed good prognosis in long-term outcomes. Finally, AR can decrease the risk of tumor recurrence in patients with a solitary PET-positive HCC less than 3 cm.

Computational quantitative measures of Gd-EOB-DTPA enhanced MRI hepatobiliary phase images can predict microvascular invasion of small HCC

PURPOSE

This study was designed to preoperatively predict microvascular invasion (MVI) of solitary small hepatocellular carcinoma (sHCC) by quantitative analysis of Gd-EOB-DTPA enhanced hepatobiliary phase (HBP) magnetic resonance imaging (MRI).

METHOD

Sixty-one patients, 19 with and 42 without histologically confirmed MVI following hepatic resection for solitary sHCC (≤ 3 cm), were preoperatively examined with Gd-EOB-DTPA-enhanced MRI. The regions of interest (ROIs) of the hepatic lesions were manually delineated on the maximum cross-sectional area in the HBP images and used to calculate the lesion boundary index (LBI) and marginal gray changes (MGC). Histogram analysis was performed to measure standard deviations (STD) and coefficients of variation (CV). Correlations between quantitative parameters and MVI were evaluated and differences between MVI positive and negative groups were assessed.

RESULTS

The average LBI (0.85 ± 0.07) and MGC (0.48 ± 0.27) values of the negative group were significantly higher (p < 0.05) than the corresponding LBI (0.72 ± 0.07) and MGC (0.28 ± 0.18) values of the positive group. STDs and CVs in the negative group were significantly smaller (p < 0.05) than those of the positive group. Receiver operating characteristic (ROC) analysis revealed that LBI had the best predictive value with an AUC, sensitivity, and specificity of 0.91, 87 %, and 80 %, respectively.

CONCLUSIONS

Quantitative analysis of HBP images is useful for predicting MVI and beneficial to clinicians in making decisions before treatment.

Microscopic portal vein invasion is a powerful predictor of prognosis in patients with hepatocellular carcinoma who have undergone liver resection

BACKGROUND AND OBJECTIVES

A recent study proposed simple classifications of microscopic vascular invasion (MVI): microscopic portal vein invasion (MPVI) and microvessel invasion (MI). We aim to validate these classifications of MVI.

METHODS

This retrospective study consecutively enrolled 514 Barcelona Clinic Liver Cancer stage 0, A, and B naïve hepatocellular carcinoma patients who underwent liver resection in our institution from 2011 to 2017.

RESULTS

Among these 514 patients, 240 patients were classified as having no MVI at all (designated as no vascular invasion, NVI), 157 patients were classified as having MI only, and 117 patients were classified as having MPVI. The 5-year overall survival (OS) rate in the MI-only group was 83.3%, which was not significantly different from that of the NVI group (87.2%), p = .20. Using NVI as a reference, multivariate analysis showed that MI-only is not an independent variable associated with OS. The 5-year OS in the MPVI group was 59.2%, which was significantly lower than those for MI-only (p < .001) and NVI groups (p < .001). Using NVI as a reference, multivariate analysis showed that MPVI is an independent variable associated with OS (HR, 3.12; 95% CI, 1.80-5.40; p < .001).

CONCLUSIONS

The results of this study validate the simple MVI classifications to be clinically useful.

Preoperative prediction of microvascular invasion in non-metastatic hepatocellular carcinoma based on nomogram analysis

Purpose

The presence of microvascular invasion (MVI) is an unfavorable prognostic factor for hepatocellular carcinoma (HCC). This study aimed to construct a nomogram-based preoperative prediction model of MVI, thereby assisting to preoperatively select proper surgical procedures.

Methods

A total of 714 non-metastatic HCC patients undergoing radical hepatectomy were retrospectively selected from Zhongshan Hospital between 2010 and 2018, followed by random assignment into training (N = 520) and validation cohorts (N = 194). Nomogram-based prediction model for MVI risk was constructed by incorporating independent risk factors of MVI presence identified from multivariate backward logistic regression analysis in the training cohort. The performance of nomogram was evaluated by calibration curve and ROC curve. Finally, decision curve analysis (DCA) was used to determine the clinical utility of the nomogram.

Results

In total, 503 (70.4%) patients presented MVI. Multivariate analysis in the training cohort revealed that age (OR: 0.98), alpha-fetoprotein (≥400 ng/mL) (OR: 2.34), tumor size (>5 cm) (OR: 3.15), cirrhosis (OR: 2.03) and γ-glutamyl transpeptidase (OR: 1.61) were significantly associated with MVI presence. The incorporation of five risk factors into a nomogram-based preoperative estimation of MVI risk demonstrated satisfactory discriminative capacity, with C-index of 0.702 and 0.690 in training and validation cohorts, respectively. Calibration curve showed good agreement between actual and predicted MVI risks. Finally, DCA revealed the clinical utility of the nomogram.

Conclusion

The nomogram showed a satisfactory discriminative capacity of MVI risk in HCC patients, and could be used to preoperatively estimate MVI risk, thereby establishing more rational therapeutic strategies.

Prognostic Significance of Preoperative Gamma-Glutamyltransferase to Alkaline Phosphatase Ratio in Hepatocellular Carcinoma Patients with Curative Liver Resection: A Retrospective Cohort Study

Purpose

Gamma-glutamyltransferase (GGT) and alkaline phosphatase (ALP) were involved in the development and progression of cancers. This study aimed to evaluate the prognostic value of a preoperative GGT:ALP ratio (GAR) in hepatocellular carcinoma (HCC) patients with curative liver resection.

Patients and Methods

A total of 380 HCC patients underwent curative liver resection before December 2017 and from January to December 2018 were included and stratified into training set and validation set, respectively. Prediction accuracy was evaluated by the area under the receiver operating characteristic curve (AUC). Factors determined to be significant for overall survival (OS) and tumor-free survival (TFS) by using Cox regression analysis. The Kaplan–Meier method and Log rank test were utilized for survival analysis.

Results

The AUC of GAR was 0.70 (P < 0.001). An optimal cut-off value of 0.91 yielded a sensitivity of 78.1% and a specificity of 60.4% for GAR (P < 0.001), which stratified the HCC patients into high-risk (>0.91) and low-risk (≤ 0.91) groups. Time-dependent ROC revealed that the AUCs for 1-, 3-, and 5-year OS predictions for GAR were 0.60, 0.69 and 0.62, respectively. In addition, GAR was identified as an independent risk factor for OS and TFS both in training and validation cohort by univariate and multivariate Cox regression analysis, as well as a good prognostic indicator for patients with Barcelona Clinic Liver Cancer stage C or without vascular invasion. Notably, the AUC of the GAR for survival was better than several potential prognostic indices (P < 0.05).

Conclusion

We identified the GAR as a prognostic indicator in two independent cohorts of HCC patients with curative liver resection. The patients with decreased GAR score were significantly associated with better OS and TFS.

Preoperative Prediction for Early Recurrence Can Be as Accurate as Postoperative Assessment in Single Hepatocellular Carcinoma Patients

Objective

To evaluate the performance of predicting early recurrence using preoperative factors only in comparison with using both pre-/postoperative factors.

Materials and Methods

We retrospectively reviewed 549 patients who had undergone curative resection for single hepatcellular carcinoma (HCC) within Milan criteria. Multivariable analysis was performed to identify pre-/postoperative high-risk factors of early recurrence after hepatic resection for HCC. Two prediction models for early HCC recurrence determined by stepwise variable selection methods based on Akaike information criterion were built, either based on preoperative factors alone or both pre-/postoperative factors. Area under the curve (AUC) for each receiver operating characteristic curve of the two models was calculated, and the two curves were compared for non-inferiority testing. The predictive models of early HCC recurrence were internally validated by bootstrap resampling method.

Results

Multivariable analysis on preoperative factors alone identified aspartate aminotransferase/platelet ratio index (OR, 1.632; 95% CI, 1.056–2.522; p = 0.027), tumor size (OR, 1.025; 95% CI, 0.002–1.049; p = 0.031), arterial rim enhancement of the tumor (OR, 2.350; 95% CI, 1.297–4.260; p = 0.005), and presence of nonhypervascular hepatobiliary hypointense nodules (OR, 1.983; 95% CI, 1.049–3.750; p = 0.035) on gadoxetic acid-enhanced magnetic resonance imaging as significant factors. After adding postoperative histopathologic factors, presence of microvascular invasion (OR, 1.868; 95% CI, 1.155–3.022; p = 0.011) became an additional significant factor, while tumor size became insignificant (p = 0.119). Comparison of the AUCs of the two models showed that the prediction model built on preoperative factors alone was not inferior to that including both pre-/postoperative factors {AUC for preoperative factors only, 0.673 (95% confidence interval [CI], 0.623–0.723) vs. AUC after adding postoperative factors, 0.691 (95% CI, 0.639–0.744); p = 0.0013}. Bootstrap resampling method showed that both the models were valid.

Conclusion

Risk stratification solely based on preoperative imaging and laboratory factors was not inferior to that based on postoperative histopathologic risk factors in predicting early recurrence after curative resection in within Milan criteria single HCC patients.

Bioinformatic Analysis to Identify a Multi-mRNA Signature for the Prediction of Metastasis in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) with metastasis indicates worse prognosis for patients. However, the current methods are insufficient to accurately predict HCC metastasis at early stage. Based on the expression profiles of three Gene Expression Omnibus datasets, the differentially expressed genes associated with HCC metastasis were screened by online analytical tool GEO2R and weighted gene co-expression network analysis. Second, a risk score model including 27-mRNA was established by univariate Cox regression analyses, time-dependent ROC curves and least absolute shrinkage and selection operator Cox regression analysis. Then, we validated the model in cohort The Cancer Genome Atlas-liver hepatocellular carcinoma and analyzed the functions and key signaling pathways of the genes associated with the risk score model. According to the risk score model, patients were divided into two subgroups (high risk and low risk groups). The metastasis rate between two subgroups was significantly different in training cohort (p < 0.0001, hazard ratio [HR]: 10.3, confidence interval [95% CI]: 6.827-15.55) and external validation cohort (p = 0.0008, HR: 1.768, 95% CI: 1.267-2.467). Multivariable analysis showed that the risk score model was superior to and independent of other clinical factors (such as tumor stage, tumor size, and other parameters) in predicting early HCC metastasis. Moreover, the risk score model could predict the overall survival of patients with HCC. Finally, most of 27-mRNA were enriched in exosome and membrane bounded organelle, and these were involved in transportation and metabolic biological process. Protein-protein interaction network analysis showed most of these genes might be key genes affecting the progression of HCC. In addition, 3 genes of 27-mRNA were also differentially expressed in peripheral blood mononuclear cell. In conclusion, by using two combined methods and a broader of HCC datasets, our study provided reliable and superior predictive model for HCC metastases, which will facilitate individual medical management for these high metastatic risk HCC patients.

A-G Score Associated With Outcomes in Solitary Hepatocellular Carcinoma Patients After Hepatectomy

Aim: The study aimed to investigate the clinical significance of preoperative alpha-fetoprotein (AFP) and gamma-glutamyl transferase (GGT) (A-G score) on hepatocellular carcinoma (HCC) patients.

Methods: A total of 474 solitary HCC patients were included. Survival analysis was evaluated by Kaplan-Meier method. Prognostic factors were analyzed in a multivariate model. The comparison of the predictive value of AFP, GGT, and A-G score was performed by receiver operating characteristic curve (ROC) analysis and decision curve analysis (DCA).

Results: Of the 474 patients, 137(28.9%), 241(50.8%), and 96(20.3%) patients were assigned to A-G score 0, 1, and 2, respectively. In multivariate analysis, A-G score, tumor size, microvascular invasion, tumor differentiation, satellite lesion, and state of HBV infection were independently predictive factors for RFS of solitary HCC patients. The A-G score could significantly stratify solitary HCC patients with a distinguished prognosis. The 1-, 3-, and 5-year RFS and OS among patients with A-G score 1 was better than that of patients with A-G score 2 and worse than that of patients with A-G score 0(all p < 0.05). Based on the result from the ROC analysis and DCA analysis, the A-G score appeared to be superior to either AFP or GGT alone in the prediction of prognosis of solitary HCC patients. In the subgroup analysis, the A-G score could accurately predict the prognosis of solitary HCC patients without MVI or with liver cirrhosis.

Conclusions: Preoperative A-G score could effectively and simply predict prognosis of solitary HCC patients after hepatectomy, especially for those with non-MVI solitary HCC or those with liver cirrhosis.

Living donor liver transplantation or hepatic resection combined with intraoperative radiofrequency ablation for Child-Pugh A hepatocellular carcinoma patient with Multifocal Tumours Meeting the University of California San Francisco (UCSF) criteria

BACKGROUND

How much difference there is between hepatic resection (HR) combined with intraoperative radiofrequency ablation (RFA) and living donor liver transplantation (LDLT) in treatment of multifocal hepatocellular carcinomas (HCCs) remains unclear. This study compared outcomes for patients with multifocal HCCs meeting the University of California San Francisco (UCSF) criteria treated by LDLT or HR + RFA.

METHODS

A total of 126 consecutive Child-Pugh A patients with multifocal HCCs meeting the UCSF criteria, who underwent LDLT (n = 51) or HR + RFA (n = 75), were included. Propensity score (PS) matching was performed to adjust for baseline differences. Overall survival (OS) and recurrence-free survival (RFS) were calculated, and subgroup, multivariate and nomogram analyses were performed.

RESULTS

LDLT provided significantly better OS and RFS than did HR + RFA before and after PS matching and reduced the dropout rate on waiting list, but HR + RFA was more convenient, less invasive and less cost. Patients with all lesions located in the same lobe had better OS and RFS than those located in the different lobes after HR + RFA. Multivariate and nomogram analyses revealed that HR + RFA, alpha-fetoprotein ≥ 400 ng/mL, the major tumour size > 3 cm and microvascular invasion were independent predictors of poor prognosis.

CONCLUSION

For Child-Pugh A patients with multiple HCCs meeting the UCSF criteria, LDLT may offer significantly better long-term results than did HR + RFA, and HR + RFA may still be considered as an acceptable curative therapy for those without considering transplantation or as a bridge treatment for a patient, with a plan for transplantation in the future.

Sorafenib in the treatment of patients with hepatocellular carcinoma (HCC) and microvascular infiltration: a systematic review and meta-analysis

OBJECTIVE

Microvascular invasion is shown to be an independent risk factor for liver cancer recurrence. Timely treatment may reduce the recurrence rate and prolong total survival time. The aim of this study was to investigate the effectiveness of sorafenib in treating patients with hepatocellular carcinoma (HCC) and microvascular invasion.

METHODS

A comprehensive literature search was conducted in PubMed, EMBASE, MEDLINE, web of science and Cochrane Library databases for articles published up to December 2019. Two researchers independently reviewed and cross-checked independent reports with sufficient information. A meta-analysis was conducted to assess the impact of sorafenib on mortality in patients with HCC and microvascular involvement.

RESULTS

Four studies were included in the qualitative and quantitative analyses, comprising 955 cancer events and 505 cancer deaths. Meta-analyses showed that sorafenib treatment was associated with an improved survival rate versus no sorafenib treatment in patients with HCC and microvascular invasion (relative risk 1.369, 95% confidence interval 1.193, 1.570).

CONCLUSIONS

Sorafenib treatment may improve survival in patients with HCC and microvascular invasion. However, due to the potential for residual confounding, the results should be interpreted with caution.

Novel Value of Preoperative Gamma-Glutamyltransferase Levels in the Prognosis of AFP-Negative Hepatocellular Carcinoma

Background

Gamma-glutamyltransferase (GGT) is involved in tumor development and progression, but its prognostic value in α-fetoprotein- (AFP-) negative (AFP < 25 ng/mL) hepatocellular carcinoma (HCC) patients remains unknown.

Methods

A large cohort of 678 patients with AFP-negative HCC following curative resection who had complete data were enrolled in this study. The optimal cutoff value for the preoperative level of GGT was determined by the X-tile program. Independent prognostic factors for overall survival (OS) and disease-free survival (DFS) were also identified.

Results

The optimal cutoff values for the preoperative levels of GGT were 37.2 U/L and 102.8 U/L, which were used to divide all patients into three subgroups (group 1, GGT < 37.2 U/L (n = 211, 31.1%); group 2, GGT ≥ 37.2 and <102.8 U/L (n = 320, 47.2%); group 3, GGT ≥ 102.8 U/L (n = 147, 21.7%)), with distinct OS times (58.5 vs. 53.5 vs. 44.4 months, P < 0.001) and DFS times (47.9 vs. 40.3 vs. 30.1 months, P < 0.001). Elevated preoperative GGT levels were associated with an unfavorable tumor burden (larger tumor size, multiple tumors, and microvascular invasion) and were selected as independent predictors of a worse OS (group 2 vs. group 1, HR: 1.73 (1.13-2.65), P = 0.011; group 3 vs. group 1, HR: 3.28 (2.10-5.13), P < 0.001) and DFS (group 2 vs. group 1, HR: 1.52 (1.13-2.05), P = 0.006; group 3 vs. group 1, HR: 2.11 (1.49-2.98), P < 0.001) in multivariable analysis.

Conclusions

Elevated preoperative GGT levels are associated with an unfavorable tumor burden and serve as an independent prognostic marker for worse outcomes in AFP-negative HCC patients following resection.

Postoperative adjuvant treatment strategy for hepatocellular carcinoma with microvascular invasion: a non-randomized interventional clinical study

BACKGROUND

Microvascular invasion (MVI) is considered to be one of the important prognostic factors that affect postoperative recurrence in patients with hepatocellular carcinoma (HCC) with variable results across their treatment options. This study was carried out to investigate efficacy of postoperative adjuvant RT in HCC patients with MVI.

METHODS

This was single center, prospective study carried out in HCC patients with MVI, aged 35-72 years. All patients were non-randomly allocated to receive standard postoperative treatment of HBV/HCV and nutritional therapy or RT in addition to standard postoperative treatment (1:1). The primary endpoints assessed were relapse-free survival and overall survival. The prognostic factors associated with survival outcomes were also analyzed. The safety events were graded according to NCI-CTCAE v4.03 criteria.

RESULTS

Of the 115 patients eligible for study, 59 patients were included in analysis. Univariate analysis revealed that MVI classification (P = 0.009), post-operative treatment strategies (P = 0.009) were prognostic factors for worst RFS; tumor size (P = 0.011), MVI classification (P = 0.005) and post-operative treatment (P = 0.015) were associated for OS. The 1-, 2-, 3-year RFS rates were 86.2, 70.5 and 63.4% for patients in RT group, and 46.4, 36.1, and 36.1% in control group. For OS, corresponding rates were 96.6, 80.7, and 80.7% for patients in RT group and 79.7, 58.3, and 50.0% in control group. Subgroup classification of HCC patients according to low risk MVI showed significantly longer RFS (P = 0.035) and OS (P = 0.004) in RT group than control group, while for high risk MVI, RT depicted longer OS than control group with no significance (P = 0.106). Toxicities were usually observed in acute stage with no grade 4 toxicities.

CONCLUSION

Postoperative adjuvant RT following hepatectomy offers better RFS for HCC patients with MVI than with standard postoperative therapy. Also, it will be useful to control microscopic lesions in both M1 (low risk) and M2 (high risk) subgroups of HCC patients with MVI.

TRIAL REGISTRATION

Trial Registration number: ChiCTR1800017371 . Date of Registration: 2018-07-26. Registration Status: Retrospectively registered.

Preoperative Prediction Power of Imaging Methods for Microvascular Invasion in Hepatocellular Carcinoma: A Systemic Review and Meta-Analysis

Background: To compare the predictive power between radiomics and non-radiomics (conventional imaging and functional imaging methods) for preoperative evaluation of microvascular invasion (MVI) in hepatocellular carcinoma (HCC).

Methods: Comprehensive publications were screened in PubMed, Embase, and Cochrane Library. Studies focusing on the discrimination values of imaging methods, including radiomics and non-radiomics methods, for MVI evaluation were included in our meta-analysis.

Results: Thirty-three imaging studies with 5,462 cases, focusing on preoperative evaluation of MVI status in HCC, were included. The sensitivity and specificity of MVI prediction in HCC were 0.78 [95% confidence interval (CI): 0.75–0.80; I² = 70.7%] and 0.78 (95% CI: 0.76–0.81; I² = 0.0%) for radiomics, respectively, and were 0.73 (95% CI: 0.71–0.75; I² = 83.7%) and 0.82 (95% CI: 0.80–0.83; I² = 86.5%) for non-radiomics, respectively. The areas under the receiver operation curves for radiomics and non-radiomics to predict MVI status in HCC were 0.8550 and 0.8601, respectively, showing no significant difference.

Conclusion: The imaging method is feasible to predict the MVI state of HCC. Radiomics method based on medical image data is a promising application in clinical practice and can provide quantifiable image features. With the help of these features, highly consistent prediction performance will be achieved in anticipation.

The Value of TTPVI in Prediction of Microvascular Invasion in Hepatocellular Carcinoma

Purpose

The objective of our study was to evaluate the value of two-trait predictor of venous invasion (TTPVI) in the prediction of pathological microvascular invasion (pMVI) in patients with hepatocellular carcinoma (HCC) from preoperative computed tomography (CT) and magnetic resonance (MR).

Methods

A total of 128 preoperative patients with findings of HCC were enrolled. Tumor size, tumor margins, tumor capsule, peritumoral enhancement, and TTPVI was assessed on preoperative CT and MRI images. Histopathological features were reviewed: pathological tumor size, tumor differentiation, pMVI along with alpha-fetoprotein level (AFP). Significant imaging findings and histopathological features were determined with univariate and multivariate logistic regression analysis.

Results

Univariate analysis revealed that tumor size (p<0.01), AFP level (p=0.043), tumor differentiation (p<0.01), peritumoral enhancement (p=0.003), pathological tumor size (p<0.01), tumor margins (p<0.01) on CT and MRI, and TTPVI (p<0.01) showed statistically significant associations with pMVI. In multivariate logistic regression analysis, tumor size (odds ratio [OR] = 1.294; 95% confidence interval [CI]: 1.155, 1.451; p < 0.001), tumor differentiation (odds ratio [OR] =1.384; 95% confidence interval [CI]: 1.224, 1.564; p < 0.001), and TTPVI (odds ratio [OR] = 4.802; 95% confidence interval [CI]: 1.037, 22.233; p=0.045) were significant independent predictors of pMVI. Using 5.8 as the threshold for size, one could obtain an area-under-curve (AUC) of 0.793, 95% confidence interval [CI]: 0.715 to 0.857.

Conclusion

Tumor size, tumor differentiation, and TTPVI depicted in preoperative CT and MRI had a statistically significant correlation with pMVI. Hence, TTPVI detected on CT and MRI may be predictive of pMVI in HCC cases.

Postoperative adjuvant transarterial chemoembolization improves the prognosis of hepatocellular carcinoma patients with microvascular invasion: a systematic review and meta-analysis

BACKGROUND

Microvascular invasion has been widely accepted as a major risk factor of hepatocellular carcinoma prognoses after surgery. It is still controversial whether postoperative adjuvant transarterial chemoembolization could improve the survival of hepatocellular carcinoma patients with microvascular invasion.

PURPOSE

To evaluate the effect of postoperative adjuvant transarterial chemoembolization for postoperative hepatocellular carcinoma patients with microvascular invasion.

MATERIAL AND METHODS

PubMed, Web of Science, and Embase databases were searched for eligible studies, and the one-, three-, and five-year recurrence rates and overall survival rates were extracted for meta-analysis.

RESULTS

A total of eight studies were included in this study. The results showed that the one-, three-, and five-year recurrence rate of the postoperative adjuvant transarterial chemoembolization group were better than those of the hepatectomy alone group, with a pooled risk ratio (RR) of 0.66 (95% confidence interval [CI] 0.58-0.75, P < 0.00001), 0.82 (95% CI 0.76-0.88, P < 0.00001), and 0.89 (95% CI 0.82-0.97, P = 0.007), respectively. The overall survival rates with one-, three-, and five-year pooled RR were 0.34 (95% CI 0.25-0.47, P < 0.00001), 0.69 (95% CI 0.60-0.79, P < 0.00001), and 0.78 (95% CI 0.69-0.89, P = 0.0001), respectively. No serious side effects have been reported, indicating that postoperative intervention is safe.

CONCLUSION

For hepatocellular carcinoma patients with microvascular invasion confirmed by postoperative pathology, postoperative adjuvant transarterial chemoembolization is a safe treatment, which could reduce the tumor recurrence rate and improve the patient's overall survival.

A systematic review and meta-analysis of adjuvant transarterial chemoembolization after curative resection for patients with hepatocellular carcinoma

BACKGROUND

The aim of this study was to systematically evaluate and determine those patients with hepatocellular carcinoma (HCC) that would benefit from the administration of postoperative adjuvant transarterial chemoembolization (PA-TACE).

METHODS

PubMed, Embase and Cochrane Library were searched for randomized controlled trials (RCTs) and observational studies up to July 30, 2019. The outcome of Overall survival (OS) and disease-free survival (DFS) were extracted and converted to hazard ratios (HRs) with 95% confidence intervals (95%CIs).

RESULTS

A total of 40 studies (10 RCTs and 30 non-RCTs) involving 11,165 patients were included. Overall, PA-TACE was associated with an increased OS [HR, 0.71 (95% CI, 0.65-0.77); P < 0.001] and DFS [HR, 0.73 (95% CI, 0.66-0.80); P < 0.001]. Subgroup analysis in patients with microvascular invasion (MVI), tumor diameter >5 cm or multinodular tumors demonstrated that PA-TACE improved OS and DFS. In patients without MVI, PA-TACE showed no improvement in OS [HR, 1.14 (95% CI, 0.85-1.53); P = 0.370], and resulted in worse DFS than curative resection alone [HR, 1.20 (95% CI, 1.03-1.39); P = 0.002].

CONCLUSION

This meta-analysis indicated that PA-TACE was beneficial in patients with HCC who were at high risk of postoperative recurrence including tumor diameter >5 cm, multinodular tumors and MVI-positive. In patients with tumor diameter ≤5 cm, single tumor or MVI-negative. PA-TACE does not appear to improve outcomes and may potentially promote postoperative recurrence in certain patients.

Interreader Variability in Semantic Annotation of Microvascular Invasion in Hepatocellular Carcinoma on Contrast-enhanced Triphasic CT Images

Purpose

To evaluate interreader agreement in annotating semantic features on preoperative CT images to predict microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC).

Materials and Methods

Preoperative, contrast material-enhanced triphasic CT studies from 89 patients (median age, 64 years; age range, 36-85 years; 70 men) who underwent hepatic resection between 2008 and 2017 for a solitary HCC were reviewed. Three radiologists annotated CT images obtained during the arterial and portal venous phases, independently and in consensus, with features associated with MVI reported by other investigators. The assessed factors were the presence or absence of discrete internal arteries, hypoattenuating halo, tumor-liver difference, peritumoral enhancement, and tumor margin. Testing also included previously proposed MVI signatures: radiogenomic venous invasion (RVI) and two-trait predictor of venous invasion (TTPVI), using single-reader and consensus annotations. Cohen (two-reader) and Fleiss (three-reader) κ and the bootstrap method were used to analyze interreader agreement and differences in model performance, respectively.

Results

Of HCCs assessed, 32.6% (29 of 89) had MVI at histopathologic findings. Two-reader agreement, as assessed by pairwise Cohen κ statistics, varied as a function of feature and imaging phase, ranging from 0.02 to 0.6; three-reader Fleiss κ varied from -0.17 to 0.56. For RVI and TTPVI, the best single-reader performance had sensitivity and specificity of 52% and 77% and 67% and 74%, respectively. In consensus, the sensitivity and specificity for the RVI and TTPVI signatures were 59% and 67% and 70% and 62%, respectively.

Conclusion

Interreader variability in semantic feature annotation remains a challenge and affects the reproducibility of predictive models for preoperative detection of MVI in HCC.Supplemental material is available for this article.© RSNA, 2020.

Not All Hepatocellular Carcinoma Patients with Microvascular Invasion After R0 Resection Could Be Benefited from Prophylactic Transarterial Chemoembolization: A Propensity Score Matching Study

BACKGROUND

Prophylactic transarterial chemoembolization (p-TACE) is strongly recommended for hepatocellular carcinoma (HCC) patients with microvascular invasion (MVI), but the potential beneficiaries remain controversial.

METHODS

Data of HCC patients with MVI who underwent R0 resection between December 2013 and December 2015 were identified through the primary liver cancer big data. Disease-free survival (DFS) and overall survival (OS) were compared between patients who received p-TACE or not using Kaplan-Meier survival curves before and after propensity scoring match (PSM).

RESULTS

A total of 695 patients were eligible for this study, including 199 patients (28.6%) receiving p-TACE and 496 patients (71.4%) receiving resection alone. In the crude cohort, median DFS and OS were longer in the p-TACE group than those in the non-TACE group without significant differences (25.0 months vs 24.2 months, P=0.100; 48.0 months vs 46.5 months, P=0.150; respectively), but significant differences were observed both in DFS and OS (both P<0.05) after 1:1 PSM. p-TACE was identified as one of the independent risk factors of both DFS and OS using multivariate analysis in the matched cohort (HR=0.69, 95% CI=0.54-0.88; HR=0.66, 95% CI=0.50-0.88; respectively). Subgroup analysis showed that p-TACE could beneficiate patients if they were male, aged ≥50 years old, had HBV infection, preoperative AFP level ≥400 ng/mL, Child-Pugh grading A, no transfusion, single tumor, tumor diameter ≥5cm, Edmondson-Steiner grading I/II, capsule, or BCLC stage A, CNLC stage Ib, AJCC stage II both in DFS and OS (all P<0.05).

CONCLUSION

With the current data, we concluded that not all HCC patients with MVI would be benefited from p-TACE, and p-TACE could benefit patients with "middle risk" according to the current staging systems.

Prognostic Nomogram for Hepatitis B Virus-related Hepatocellular Carcinoma With Adjuvant Transarterial Chemoembolization After Radical Resection

OBJECTIVES

The objective of this study was to establish a reliable and effective nomogram for predicting prognosis of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) with postoperative adjuvant transarterial chemoembolization (TACE).

PATIENTS AND METHODS

A derivation cohort of 370 HCC patients treated with postoperative TACE in the Eastern Hepatobiliary Surgery Hospital from January 2009 to December 2012 were retrospectively analyzed. Univariate and multivariate analysis were performed by Cox regression and independent prognostic factors for overall survival were determined to construct the nomogram. Concordance index (C-index), calibration curve and decision curve analysis were performed to evaluate the capability of the nomogram and the established nomogram was compared with TNM stage and Barcelona Clinic Liver Cancer (BCLC) stage to identify the superior model. The results were validated in a validation cohort of 123 HCC patients in the same center.

RESULTS

Multivariate analysis indicated that γ-glutamyl transferase, α-fetoprotein, tumor number, tumor size, satellite lesions, microvascular invasion, and HBV-DNA were independent prognostic factors for overall survival in the derivation cohort, and all these factors were selected into the nomogram. The C-index was 0.755 for survival prediction of the nomogram, which was significantly higher than the TNM stage (0.636, P<0.001) and BCLC stage (0.594, P<0.001). A fair uniformity and a superior net benefit with wide range threshold probabilities were showed in the calibration curves and decision curve analysis. In the validation cohort, the C-index of the nomogram (0.785) also had a higher predictive accuracy than TNM stage (0.744, P=0.019) and BCLC stage (0.616, P<0.001).

CONCLUSIONS

The nomogram with accurate and reasonable performance was proposed for predicting survival of HBV-related HCC with postoperative adjuvant TACE.