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. 2022 Apr 12;304(1):228–237. doi: 10.1148/radiol.212426

Optimization of the BCLC Staging System for Locoregional Therapy for Hepatocellular Carcinoma by Using Quantitative Tumor Burden Imaging Biomarkers at MRI

Tabea Borde 1, Nariman Nezami 1, Fabian Laage Gaupp 1, Lynn Jeanette Savic 1, Tamar Taddei 1, Ariel Jaffe 1, Mario Strazzabosco 1, MingDe Lin 1, Rafael Duran 1, Christos Georgiades 1, Kelvin Hong 1, Julius Chapiro 1,
PMCID: PMC9270683  NIHMSID: NIHMS1822562  PMID: 35412368

Abstract

Background

Patients with intermediate- and advanced-stage hepatocellular carcinoma (HCC) represent a highly heterogeneous patient collective with substantial differences in overall survival.

Purpose

To evaluate enhancing tumor volume (ETV) and enhancing tumor burden (ETB) as new criteria within the Barcelona Clinic Liver Cancer (BCLC) staging system for optimized allocation of patients with intermediate- and advanced-stage HCC to undergo transarterial chemoembolization (TACE).

Materials and Methods

In this retrospective study, 682 patients with HCC who underwent conventional TACE or TACE with drug-eluting beads from January 2000 to December 2014 were evaluated. Quantitative three-dimensional analysis of contrast-enhanced MRI was performed to determine thresholds of ETV and ETB (ratio of ETV to normal liver volume). Patients with ETV below 65 cm3 or ETB below 4% were reassigned to BCLC Bn, whereas patients with ETV or ETB above the determined cutoffs were restratified or remained in BCLC Cn by means of stepwise verification of the median overall survival (mOS).

Results

This study included 494 patients (median age, 62 years [IQR, 56–71 years]; 401 men). Originally, 123 patients were classified as BCLC B with mOS of 24.3 months (95% CI: 21.4, 32.9) and 371 patients as BCLC C with mOS of 11.9 months (95% CI: 10.5, 14.8). The mOS of all included patients (including the BCLC B and C groups) was 15 months (95% CI: 12.3, 17.2). A total of 152 patients with BCLC C tumors were restratified into a new BCLC Bn class, in which the mOS was then 25.1 months (95% CI: 21.8, 29.7; P < .001). The mOS of the remaining patients (ie, BCLC Cn group) (n = 222; ETV ≥65 cm3 or ETB ≥4%) was 8.4 months (95% CI: 6.1, 11.2).

Conclusion

Substratification of patients with intermediate- and advanced-stage hepatocellular carcinoma according to three-dimensional quantitative tumor burden identified patients with a survival benefit from transarterial chemoembolization before therapy.

© RSNA, 2022

Online supplemental material is available for this article.


graphic file with name radiol.212426.VA.jpg


Summary

Restratification of patients with advanced-stage hepatocellular carcinomas according to enhancement-based, three-dimensional, quantitative tumor burden measurements identified patients who would benefit from transarterial chemoembolization.

Key Results

  • ■ This retrospective study included 494 patients with intermediate- to advanced-stage hepatocellular carcinoma who underwent conventional transarterial chemoembolization (TACE) or TACE with drug-eluting beads; the enhancement-based volumetric quantification of their tumor burden reliably served as a predictive imaging biomarker for overall survival.

  • ■ Patients with Barcelona Clinic Liver Cancer (BCLC) B tumors may benefit from TACE regardless of the extent of tumor burden.

  • ■ Patients with BCLC C tumors with low viable tumor burden with an enhancing tumor volume of less than 65 cm3 or enhancing tumor burden of less than 4% show a survival benefit when treated with TACE, whereas patients with a large viable tumor burden do not benefit from TACE.

Introduction

Hepatocellular carcinoma (HCC) is the fourth most common cause of cancer-related death worldwide. More than 70% of patients with HCC are diagnosed at intermediate- or advanced-stage disease and are ineligible for curative treatment (1,2). The Barcelona Clinic Liver Cancer (BCLC) staging system was introduced as the standard staging system for HCC (3,4). Accordingly, the recommended treatment option for patients with BCLC B cancer is transarterial chemoembolization (TACE). For patients with BCLC C cancer, systemic therapy and immune checkpoint inhibitors are the current standard of care (3). However, the BRIDGE (Bridge to Better Outcomes in HCC) and GIDEON (Global Investigation of Therapeutic Decisions in Hepatocellular Carcinoma and of Its Treatment with Sorafenib) studies identified that TACE is frequently applied beyond BCLC stage B (5,6), with 46% of patients with BCLC C tumors undergoing TACE (6). Survival benefits were observed in patients treated with TACE in whom the BCLC C categorization was assigned solely based on segmental macrovascular portal vein invasion (79). This finding demonstrates that both BCLC stages B and C consist of highly heterogeneous cancers with vastly different extents of tumor burden. Such heterogeneity of disease results in differences in expected overall survival among treated patients (1012). Therefore, optimized subcategorization of this heterogeneous population is necessary to achieve meaningful refinement of therapeutic decisions for each individual patient (13).

The BCLC stratification algorithm currently relies on one-dimensional tumor size measurements and number of lesions to help quantify tumor burden and recommend the most appropriate treatment in early and intermediate stages (4). However, tumor burden and lesion size are no longer taken into consideration for substratification between intermediate and advanced stages (BCLC B vs C) and are formally irrelevant for clinical decision-making, which has been recognized as a major limitation of the system in a recently proposed amendment (4). These one-dimensional tumor measurements have limitations in their ability to reflect true tumor size, viability, and growth potential (14,15). The known discrepancy between the single-axis diameter of a target lesion and the actual viable tumor volume prompted the introduction of modified Response Evaluation Criteria in Solid Tumors and, more recently, the development of three-dimensional quantitative tumor assessment methods (16).

Volumetric quantification of the enhancing tumor tissue at multiparametric MRI has been shown to predict survival more reliably after TACE (15,17,18). Thus, in this study, we evaluated the role of three-dimensional quantitative tumor burden analysis for subcategorization of the BCLC system with the goal of establishing potentially improved treatment allocation of patients with intermediate- to advanced-stage HCC treated with TACE.

Materials and Methods

Study Design

This retrospective single-institution study was approved by the institutional review board. Data collection and analysis were conducted in compliance with the Health Insurance Portability and Accountability Act. The study was designed in agreement with the Standards for Reporting of Diagnostic Accuracy guidelines. Because of the retrospective nature of this study, the requirement for written informed consent was waived by the institutional review board committee. The patient sample in our study has partial overlap with the patients in the study by Tacher et al (15), where the primary focus was tumor response according to three-dimensional quantitative criteria without any restratification according to BCLC.

Study Sample

This study initially considered 682 patients with BCLC B or C tumors and diagnosed with HCC who underwent either conventional TACE or drug-eluting bead TACE as first-line therapy between January 2000 and December 2014. Patients were treatment-naive regarding prior locoregional and systemic therapy. Overall, 188 patients (27.6%) were excluded due to missing, technically insufficient, or artifactually distorted MRI data. BCLC stages were determined by rereviewing the imaging, laboratory, and hepatic functional parameters. The final analyzed study sample (n = 494) was stratified according to BCLC B (123 [24.1%]) and BCLC C (371 [75.9%]) (3) (Fig 1). Data on race and ethnicity were collected from the electronic health record. For further information, including disease staging and intra-arterial therapy, see Appendix E1 (online).

Figure 1:

Study flowchart. Following the exclusion criteria, 494 patients were included in the analyses and stratified according to Barcelona Clinic Liver Cancer (BCLC) stages B and C. Statistical analysis was performed on clinical data from each group. Enhancing tumor volume (ETV) and enhancing tumor burden (ETB) cutoffs were determined, and patients were reassigned to new BCLC Bn and Cn classes according to their volumetrically quantified tumor burden. TACE = transarterial chemoembolization.

Study flowchart. Following the exclusion criteria, 494 patients were included in the analyses and stratified according to Barcelona Clinic Liver Cancer (BCLC) stages B and C. Statistical analysis was performed on clinical data from each group. Enhancing tumor volume (ETV) and enhancing tumor burden (ETB) cutoffs were determined, and patients were reassigned to new BCLC Bn and Cn classes according to their volumetrically quantified tumor burden. TACE = transarterial chemoembolization.

MRI Acquisition

Details on image acquisition parameters and scanners are found in Appendix E1 (online).

Image Analysis

Tumor assessment, including one- and three-dimensional measurements, was performed independently by two radiologic readers (N.N. and R.D., with 5 and 6 years of experience in abdominal MRI and volumetric image analysis), blinded to all clinical data and survival outcomes. The interobserver reliability was calculated by using Cohen κ (κ, 0.8). Tumor diameters were determined on Digital Imaging and Communications in Medicine files, as previously described (19) (Fig 2B, 2C).

Figure 2:

Anatomic and enhancement-based assessment methods on axial-view images. (A) Baseline arterial enhanced T1-weighted MRI scan, preprocedural for anatomic orientation. (B) One-dimensional measurement of the largest overall tumor diameter illustrated by a red line. (C) One-dimensional measurement of the largest enhancing tumor diameter illustrated by a red line. Enhancement was defined as hyperintense areas at the arterial phase that were not visible at the precontrast phase. (D) Semiautomated three-dimensional tumor and whole-liver segmentation to create a segmentation mask, which involves the entire lesion and liver. The fine red line outlines the tumor, and the thick orange line marks the liver contour. (E) Three-dimensional segmentation mask represents the total tumor volume in red at maximum intensity projection. (F) Automatically generated three-dimensional quantification of enhancing tumor volume based on image subtraction. A region of interest (green box) was placed on extratumoral liver parenchyma in the closest proximity to the tumor as a reference to calculate the relative enhancement values within the tumor. Color coding varied from red, representing maximum enhancement, to blue, representing no enhancement.

Anatomic and enhancement-based assessment methods on axial-view images. (A) Baseline arterial enhanced T1-weighted MRI scan, preprocedural for anatomic orientation. (B) One-dimensional measurement of the largest overall tumor diameter illustrated by a red line. (C) One-dimensional measurement of the largest enhancing tumor diameter illustrated by a red line. Enhancement was defined as hyperintense areas at the arterial phase that were not visible at the precontrast phase. (D) Semiautomated three-dimensional tumor and whole-liver segmentation to create a segmentation mask, which involves the entire lesion and liver. The fine red line outlines the tumor, and the thick orange line marks the liver contour. (E) Three-dimensional segmentation mask represents the total tumor volume in red at maximum intensity projection. (F) Automatically generated three-dimensional quantification of enhancing tumor volume based on image subtraction. A region of interest (green box) was placed on extratumoral liver parenchyma in the closest proximity to the tumor as a reference to calculate the relative enhancement values within the tumor. Color coding varied from red, representing maximum enhancement, to blue, representing no enhancement.

Total liver and tumor volume, enhancing tumor volume (ETV, in cubic centimeters), and enhancing tumor burden (ETB, in percentages) were obtained at baseline MRI with use of a semiautomatic tumor segmentation software and quantitative European Association for the Study of the Liver software (IntelliSpace Portal, version 8; Philips Healthcare) (16,20). In short, the software used a volumetric segmentation mask obtained on portal-venous phase images to quantify the liver and tumor volume, respectively, and the ETV at arterial-phase T1-weighted imaging (Fig 2D, 2E) (17). Tumor burden was volumetrically quantified by measuring all enhancing (viable) tumor lesions within the liver to account for complete tumor burden. Infiltrative disease with poorly defined margins was quantified by including the entire liver into volumetric segmentation (21). Portal vein tumor thrombus was not separately segmented. However, for large tumor masses with infiltration of the portal vein, the tumor thrombus portion was included into the overall tumor segmentation mask. A region of interest (1 cm3) was placed into extratumoral liver parenchyma as a reference to identify the volume of hyperenhancing voxels within the segmented tumor. Enhancing regions were expressed as a percentage of the previously calculated tumor volume and visualized using a color map overlay (Fig 2F). The ETB was defined as the ratio of ETV to the total liver volume, calculated using the following formula:

graphic file with name radiol.212426.eq1.jpg

Statistical Analysis

Descriptive statistics were summarized as absolute numbers and percentages. Counts with frequencies were used for categorical variables, and medians with IQRs for continuous variables. The median overall survival (mOS) was measured until date of death, last available follow-up, or end-of-observation date. Gaussian distribution was assessed by using density plots and the Shapiro-Wilk test. The predictive value of mOS of each variable was assessed with use of Cox proportional hazard ratios at univariable and multivariable analyses (22). Statistically significant variables at univariable analysis were included in the multivariable Cox regression under further stepwise forward selection of significant predictors of mOS.

ETV and ETB cutoffs were calculated using Q statistics of residuals visualized with use of locally estimated scatterplot smoothing, or LOESS, fit. Subsequently, a plateau of several significant ETV values was demarcated in the range of 57–123 cm3, all of which represented a significant cutoff to stratify the patient sample based on mOS. In reference to the most frequently described and tested diameter (d) threshold of 5 cm, initially introduced in the Milan criteria and consecutively adopted in the Hong Kong Liver Cancer classification, 65-cm3 volume (V) was extrapolated using the spherical formula V = 1/6πd3 and previously validated in a large patient sample (2326). Therefore, 65 cm3 was determined as the most clinically relevant volumetric threshold for patient stratification.

Regarding ETB, Q statistics of residuals revealed a cutoff of 4% to significantly stratify the patient sample, which was consequently determined to be the final cutoff value. Cross-validation was performed using Kaplan-Meier survival curves based on mOS (27) and compared using the log-rank test. Two-tailed P < .05 was considered indicative of statistically significant difference. Patients whose cancer was classified as BCLC B or C were stratified according to the previously determined ETV and ETB cutoffs and reassigned to new BCLC Bn or Cn groups by means of stepwise verification of mOS and validation using Kaplan-Meier plots and the log-rank test. Statistical analysis was performed using R software, version 1.3.959/2020 (R Project for Statistical Computing) and SPSS, version 22 (IBM).

Results

Patient and Tumor Characteristics

Table 1 summarizes demographic and tumor characteristics of all patients (n = 494) and the BCLC B (n = 123) and C (n = 371) groups. For all patients (ie, both the BCLC B and C groups), the median age was 62 years (IQR, 56–71 years), with 401 men (81.2%) and 93 women (18.8%). Race and ethnicity categories included African American, Asian, Caucasian, Hispanic, and other (patients who self-identified as Arab, Indian, non-Hispanic, or South American individuals or as more than one race). There was no evidence of any differences in demographic characteristics between the patients with BCLC B and C tumors. Volumetric quantification showed a median ETV of 57 cm3 (IQR, 25–165 cm3) and a median calculated ETB of 4% (IQR, 1%–9%) for patients with BCLC B tumors and a median ETV of 130 cm3 (IQR, 27–429 cm3) and a median calculated ETB of 7% (IQR, 2%–20%) for patients with BCLC C tumors.

Table 1:

Baseline Patient and Tumor Characteristics

graphic file with name radiol.212426.tbl1.jpg

Survival Analysis

Univariable analyses of clinical parameters identified a significant association between mOS and the following parameters: age, Child-Pugh class, Eastern Cooperative Oncology Group performance status, α-fetoprotein levels, presence of bilobar disease (affecting both liver lobes), multifocal disease (multiple lesions independent of their localization), extrahepatic metastasis, and one- and three-dimensional tumor quantifications (Table 2). Sex, race and ethnicity, cause, and posttreatment with sorafenib were not associated with mOS. After stepwise selection of significant predictors in the multivariable Cox regression model, the Child-Pugh class, Eastern Cooperative Oncology Group performance status, α-fetoprotein levels, lobar distribution, extrahepatic metastasis, and three-dimensional tumor quantifications were identified as predictive variables of mOS (Table 2). Volumetric tumor enhancement quantifications showed a statistically highly significant predictive association with mOS (ETV hazard ratio, 2.00; 95% CI: 1.54, 2.61; P < .001). Interestingly, the highest hazard ratio calculated was for ETB (hazard ratio, 16; 95% CI: 2.7, 91; P < .001), confirming a strong association between ETB and increased risk of death.

Table 2:

Univariable and Multivariable Cox Regression Analysis Investigating Impact of Demographic, Clinical, and Tumor Characteristics on Overall Survival in Patients with BCLC B- or C-Stage Disease

graphic file with name radiol.212426.tbl2.jpg

ETV and ETB Cutoff Values

After the calculation of the thresholds for ETV (65 cm3) and ETB (4%), all patients (n = 494) were stratified into groups of high (≥65 cm3; n = 281 [57%]) and low (<65 cm3; n = 213 [43%]) ETV, resulting in a separation of the survival curves (mOS [ETV <65 cm3], 28.4 months vs mOS [ETV ≥65 cm3], 10.5 months; P < .001) (Fig 3A). Regarding ETB, the cohort was stratified into two groups of patients with low (<4%; n = 217 [43.9%]) and high (≥4%; n = 277 [56.1%]) ETB, which also significantly separated the Kaplan-Meier curves (mOS [ETB <4%], 26.7 months vs mOS [ETB ≥4%], 10.6 months; P < .001) (Fig 3B). In the BCLC B and BCLC C groups separately, the log-rank test showed a significant separation of all survival curves (Fig 3C–3F).

Figure 3:

Kaplan-Meier survival curves show the comparison of patients with high (enhancing tumor volume [ETV] ≥65 cm3 and enhancing tumor burden [ETB] ≥4%) and low tumor burden (ETV <65 cm3 and ETB <4%) in (A, B) all patients (the Barcelona Clinic Liver Cancer [BCLC] B + C group), (C, D) only patients with BCLC B tumors, and (E, F) only patients with BCLC C tumors.

Kaplan-Meier survival curves show the comparison of patients with high (enhancing tumor volume [ETV] ≥65 cm3 and enhancing tumor burden [ETB] ≥4%) and low tumor burden (ETV <65 cm3 and ETB <4%) in (A, B) all patients (the Barcelona Clinic Liver Cancer [BCLC] B + C group), (C, D) only patients with BCLC B tumors, and (E, F) only patients with BCLC C tumors.

The mOS Based on Original BCLC Stages

Table 3 presents a structured summary of the mOS in patients according to original and reassigned BCLC stages. The mOS of all patients was 15.0 months (95% CI: 12.3, 17.2). The original mOS for patients with BCLC B cancers (n = 123) was 24.3 months (95% CI: 21.4, 32.9) and for patients with BCLC C cancers (n = 371) was 11.9 months (95% CI: 10.5, 14.8) (Fig 4). Patients with BCLC B cancers with an ETV of less than 65 cm3 (n = 64) had a mOS of 32.9 months (95% CI: 26.6, not applicable), and patients with an ETV of 65 cm3 or greater (n = 59) had a mOS of 21.1 months (95% CI: 12.1, 25.1). Patients with BCLC C cancers with an ETV of less than 65 cm3 (n = 149) had a mOS of 25.4 months (95% CI: 20.3, 34.1), and patients with an ETV of 65 cm3 or greater (n = 222) had a mOS of 8.4 months (95% CI: 6.13, 11.2). Regarding the ETB threshold, there was no difference in mOS for patients with BCLC B and C cancers.

Table 3:

Median Overall Survival in All BCLC and Reassigned Treatment Stages

graphic file with name radiol.212426.tbl3.jpg

Figure 4:

Kaplan-Meier curves. (A) Group of patients with Barcelona Clinic Liver Cancer (BCLC) B or C cancers. (B) Survival curve after reassignment of patients with BCLC C cancers with an enhancing tumor volume (ETV) of less than 65 cm3 to BCLC Bn compared with the remaining high–tumor burden BCLC Cn group. (C) Survival curve after reassignment of patients with BCLC C cancers with enhancing tumor burden of less than 4% to BCLC Bn. Patient reallocation based on either ETV of less than 65 cm3 or enhancing tumor burden of less than 4% resulted in a greater separation of the survival curves than the original separation achieved based on conventional BCLC classification.

Kaplan-Meier curves. (A) Group of patients with Barcelona Clinic Liver Cancer (BCLC) B or C cancers. (B) Survival curve after reassignment of patients with BCLC C cancers with an enhancing tumor volume (ETV) of less than 65 cm3 to BCLC Bn compared with the remaining high–tumor burden BCLC Cn group. (C) Survival curve after reassignment of patients with BCLC C cancers with enhancing tumor burden of less than 4% to BCLC Bn. Patient reallocation based on either ETV of less than 65 cm3 or enhancing tumor burden of less than 4% resulted in a greater separation of the survival curves than the original separation achieved based on conventional BCLC classification.

The mOS Based on Reassigned BCLC Stages

A total of 149 patients (40.2%) initially classified with BCLC C cancer who had an ETV of less than 65 cm3 were reassigned to BCLC stage Bn. The new mOS for patients in the BCLC Bn group (including newly assigned patients whose cancer was initially categorized as BCLC C) was 25.1 (95% CI: 21.8, 29.7) (Table 3). Likewise, 152 patients (40.9%) with an ETB of less than 4% were reassigned from BCLC C to Bn, with a mOS of 24.3 months (95% CI: 21.7, 29.7) for patients with BCLC Bn cancers (Fig 4). Because of the longer survival of patients with high tumor burden (ETV ≥65 cm3 or ETB ≥4%) in BCLC B treated with TACE, these patients remained in their original BCLC stage and were not reassigned to BCLC Cn. Figure 5 illustrates the updated version of the BCLC staging classification in accordance with the results of our study.

Figure 5:

Flowchart shows proposed update to the Barcelona Clinic Liver Cancer (BCLC) classification. This figure is based on the original BCLC classification and has been modified by adding the enhancing tumor volume (ETV) threshold of 65 cm3 and enhancing tumor burden (ETB) threshold of 4% (yellow box), which precisely stratifies patients with BCLC B and C tumors and potentially improves patient survival and outcome after transarterial chemoembolization. BSC = best supportive care, HCC = hepatocellular carcinoma, PS = performance status. 1 Liver function defined by Child-Pugh score and class; 3 Candidacy for resection determined by clinical parameters and co-morbidities; 4 Therapy determined by multi-disciplinary tumor board; 5 Multiple first- and second-line systemic therapy options as outlined by the BCLC 2022 update.

Flowchart shows proposed update to the Barcelona Clinic Liver Cancer (BCLC) classification. This figure is based on the original BCLC classification and has been modified by adding the enhancing tumor volume (ETV) threshold of 65 cm3 and enhancing tumor burden (ETB) threshold of 4% (yellow box), which precisely stratifies patients with BCLC B and C tumors and potentially improves patient survival and outcome after transarterial chemoembolization. BSC = best supportive care, HCC = hepatocellular carcinoma, PS = performance status. 1 Liver function defined by Child-Pugh score and class; 3 Candidacy for resection determined by clinical parameters and co-morbidities; 4 Therapy determined by multi-disciplinary tumor board; 5 Multiple first- and second-line systemic therapy options as outlined by the BCLC 2022 update.

Patient and Tumor Characteristics for the Reassigned BCLC Stages

There was no difference in tumor multiplicity (unifocal vs multifocal; multifocal disease in 82.7% [225 of 272 patients] of the BCLC Bn group and 78.8% [175 of 222 patients] of the BCLC Cn group; P = .27) between the newly assigned BCLC Bn and BCLC Cn stages. In terms of tumor extent, approximately three-quarters of the patients who were restaged as having BCLC Cn cancers presented with multifocal disease with portal vein invasion (P < .001) (Table 4). Interestingly, patients with BCLC Bn cancers also differed from patients with BCLC Cn cancers in terms of α-fetoprotein values, with 45.2% of the patients (123 of 272) having an α-fetoprotein value below 400 ng/mL, compared with only 27.0% (60 of 222) in patients with BCLC Cn cancers (P < .001).

Table 4:

Patient and Tumor Characteristics in Reassigned Treatment Stages

graphic file with name radiol.212426.tbl4.jpg

Discussion

The purpose of this study was to evaluate the potential of subcategorizing tumors classified as Barcelona Clinic Liver Cancer (BCLC) stages B and C. The principal finding of this study was that enhancement-based volumetric quantification of tumor burden could serve as a predictive imaging biomarker for overall survival and could be used to improve selection of patients with hepatocellular carcinoma for transarterial chemoembolization (TACE). Our results support that patients with BCLC B cancers, as determined by the original staging system, may benefit from TACE regardless of the extent of their tumor burden. In BCLC C, patients with low viable tumor burden (enhancing tumor volume [ETV] <65 cm3 and enhancing tumor burden [ETB] <4%) show a substantial survival benefit when treated with TACE, whereas patients with BCLC C cancers with large viable tumor burden (ETV ≥65 cm3 and ETB ≥4%) did not benefit from locoregional therapy compared with reported data for systemic therapies.

Volumetric tumor assessment is a prognostic instrument for patients with HCC that is more accurate than one- and two-dimensional caliper-based techniques for assessing tumor response (14,15,24). However, all previously published versions of the BCLC staging system use unidirectional measurements of the greatest tumor diameter to estimate tumor burden as a qualifying element of disease stage and progression (28). Measurements of two-dimensional tumor size do not account for the heterogeneous, nonspherical, central tumor tissue necrosis that is inherently observed in HCC (29,30). Our study enables an estimation of the total tumor burden in relation to the liver volume while additionally reducing the known interreader variability of manual measurements (3133). Tumors with more enhancing (viable) tissue have a greater proliferative potential, which negatively impacts patient survival. Therefore, patient selection for TACE according to ETV and ETB may be more reliable than using total tumor volume or simple diameter measurements alone. Facilitated by computational advances in image analysis and automated segmentation, enhancement-based tumor volumetry has become an increasingly feasible and efficient workflow in clinical practice (16,17,29,32), and therefore helps redirect patients to a more favorable treatment option.

Our study included a large sample of patients with HCC treated with TACE. Other published attempts to further stratify patient allocation to TACE (eg, Bolondi subclassifications [12]) focus on patients with BCLC B cancers, following the current BCLC recommendations for TACE. However, the BRIDGE and GIDEON studies reported that TACE was regularly used in patients with BCLC C (5,6) in consensus with the Hong Kong Liver Cancer staging system. Moreover, previous studies have shown favorable therapeutic outcomes for TACE in symptomatic patients (mostly BCLC C) (79). This circumstance prompted the decision to include patients with portal vein thrombosis to fully represent the spectrum of patients with BCLC C cancers. As a result, notwithstanding almost half the patients with advanced stage BCLC C cancers being reallocated to BCLC Bn because of low tumor burden (ETV <65 cm3 or ETB <4%), no negative impact on the overall survival outcome of the new BCLC Bn stage was observed. Despite a significant survival curve separation, patients with BCLC B cancers with a high tumor burden (ETV ≥65 cm3 or ETB ≥4%) continued to show a survival benefit from TACE and therefore remained categorized as BCLC Bn. Our results demonstrate that patients with BCLC C cancers with low tumor burden may benefit from TACE despite being considered as having advanced-stage disease for various reasons other than extent of the tumor burden (eg, Child-Pugh class and Eastern Cooperative Oncology Group performance status).

Interestingly, reallocated patients with BCLC C cancers demonstrated less frequent vascular tumor invasion and infiltrative-appearing disease, as well as lower α-fetoprotein values at diagnosis, compared with the remaining patients in the BCLC Cn group. Thus, patients with advanced-stage HCC with low viable tumor burden may still show a substantial survival advantage from TACE despite their suboptimal clinical parameters that initially categorized them as ineligible for TACE. At the same time, the imaging biomarkers clearly demonstrated that patients in the BCLC Cn group had a poor mOS after TACE compared with reported systemic treatment outcomes or best supportive care known in the published literature (34), suggesting that this particular patient group does not benefit from TACE.

Our study has several limitations. First, it is a single-institution retrospective analysis of patients with HCC treated with chemoembolization only. Patients with heterogeneous BCLC C cancers with main portal vein thrombosis and extrahepatic metastases were included in the treatment regimen in this study. However, because TACE is the most commonly used treatment of unresectable HCC, our study represents clinical reality and may provide a more standardized approach. In addition, in recent years, new systemic therapies, including several oral tyrosine kinase inhibitors and immune checkpoint inhibitors, have been used as first-line therapy in patients with advanced-stage HCC (35). Further studies to investigate treatment outcomes of new systemic and locoregional therapies, particularly in patients with low–tumor burden BCLC C cancers, would help to further refine treatment allocation for HCC.

In conclusion, our findings demonstrate that restratification of patients initially classified as having Barcelona Clinic Liver Cancer B- or C-stage hepatocellular carcinoma (HCC), according to enhancement-based, three-dimensional, quantitative tumor burden measurements, reliably differentiated between those who stand to benefit from transarterial chemoembolization and those with poor postprocedural outcome, particularly in advanced-stage disease. These findings demonstrate the potential application of this imaging biomarker as a triage tool for improved patient selection for transarterial locoregional therapy for HCC.

Acknowledgments

Acknowledgments

We thank Geliang Gan, PhD, and Yanhong Deng, MPH, for their exceptional advice, support, and supervision of the statistical analyses.

L.J.S., M.L., and J.C. received grants from the National Institutes of Health (National Cancer Institute, R01 CA206180). L.J.S. and J.C. also received grants from the Society of Interventional Oncology and Guerbet Healthcare. J.C. additionally received grants from the German-Israeli Foundation for Scientific Research and Development, Boston Scientific, and Philips Healthcare.

Data sharing: Data generated or analyzed during the study are available from the corresponding author by request.

Disclosures of conflicts of interest: T.B. Grant from the National Institutes of Health. N.N. No relevant relationships. F.L.G. No relevant relationships. L.J.S. Grants from the Leopoldina Foundation, Society of Interventional Oncology, Rolf W. Guenther Stiftung, Berlin Institute of Health (Clinician Scientist Program), and Berliner Krebsgesellschaft. T.T. No relevant relationships. A.J. No relevant relationships. M.S. Travel support from the European Society of Organ Transplantation as an invited speaker; member of the advisory board for Engitix (no payment received). M.L. Board member of Tau Beta Pi (engineering honors society; no payment received); stockholder in Visage Imaging. R.D. Grants from the Society of Interventional Oncology, Boston Scientific, and Guerbet; consulting fees from Boston Scientific and Guerbet; payment for lectures from Boston Scientific and Guerbet. C.G. Consulting fees from Boston Scientific and Guerbet; patent planned for novel embolization gel; chair of the Publications Committee of the Society of Interventional Oncology. K.H. Grant support from Boston Scientific and Merit Medical; participation on a data safety monitoring board or advisory board for Boston Scientific, Varian Medical, and AstraZeneca. C.J. Grants from Guerbet, Boston Scientific, Philips Healthcare, Society of Interventional Oncology, Radiological Society of North America, and National Institutes of Health; consulting fees from Guerbet, Bayer, and AstraZeneca; payment for lectures from Guerbet and Bayer; patent or patent pending with Philips; equipment, materials, gifts, or services from Boston Scientific, Guerbet, and Philips.

Abbreviations:

BCLC
Barcelona Clinic Liver Cancer
ETB
enhancing tumor burden
ETV
enhancing tumor volume
HCC
hepatocellular carcinoma
mOS
median overall survival
TACE
transarterial chemoembolization

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