- 1Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- 2Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology, The Johns Hopkins Hospital, Baltimore, MD, United States
- 3Department of Radiology, İstanbul University Cerrahpaşa Medical School, İstanbul, Turkey
- 4Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, United States
- 5Division of Gastroenterology and Hepatology, Department of Medicine, The Johns Hopkins School of Medicine, Baltimore, MD, United States
- 6Department of Surgery, The Ohio State University, Wexner Medical Center, Columbus, OH, United States
- 7Department of Radiology and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
Objectives: Investigate long-term effects of repeated transarterial chemoembolization (TACE) on portal venous pressure (PVP) using non-invasive surrogate markers of portal hypertension.
Methods: Retrospective, Institutional Review Board-approved study. 99 patients [hepatocellular carcinoma (HCC) group (n=57); liver metastasis group (n=42)] who underwent 279TACEs and had longitudinal pre-/post-therapy contrast-enhanced-MRI (n=388) and complete blood work were included. Outcomes of interest were platelet count (PC), spleen volume, ascites and portosystemic collaterals. Variables included TACE type/number, tumor type, microcatheter location, Child-Pugh, baseline tumor burden (tumor number/total/largest size), vessel invasion, alpha-fetoprotein, Eastern Cooperative Oncology Group (ECOG) performance status, and Model for End-Stage Liver Disease (MELD) score. Generalized Estimating Equations assessed the associations between TACE and outcomes. Power analysis determined the sample size was sufficient.
Results: No significant change in PC over time was observed in either groups, regardless of liver function (P>0.05). Baseline spleen volume was 226 cm3 for metastatic group, and was larger by 204 cm3 for HCC group (P<0.001). Spleen volume increased by 20 cm3 (95%CI: 8-32; P=0.001) for both groups after 1stTACE and by 16cm3/TACE (P=0.099) over the full follow-up (up to 9TACEs). Spleen volume also tended to increase by 23cm3 (95%CI: -1–48; P=0.064) with higher tumor burden. Odds of developing moderate/severe ascites for metastatic patients was decreased by 0.5 (95%CI: 0.3–0.9; P=0.014), regardless of the Child-Pugh, and increased by 1.5 (95%CI: 1.2–1.9; P<0.001) among HCC patients with unstable Child-Pugh, whereas no change was noted with stable Child-Pugh. HCC patients with unstable Child-Pugh demonstrated a significant increase in portosystemic collaterals number over time (P=0.008). PVP-related complications such as variceal bleeding post-TACE were low (0.4%).
Conclusion: Repeated TACEs did seem to have an impact on PVP. However, the increase in PVP had marginal effects with low portal hypertension-related complications.
Introduction
Portal hypertension is detrimental and may be complicated by the development of ascites, splenomegaly with thrombocytopenia, gastroesophageal varices formation and rupture, portal hypertensive gastropathy, hepatic encephalopathy and hepato-renal or pulmonary syndromes (1).
Direct measurement of portal venous pressure (PVP) by puncturing the portal vein is the most accurate assessment of portal hypertension. This procedure is, however, invasive and only performed in specific indications. Hepatic venous pressure gradient (HVPG) measurement is the preferred method for the indirect assessment of portal hypertension (1–3). However, the routine use of HVPG is not recommended because of its invasiveness, cost, and need for technical expertise, and development of noninvasive surrogate markers of portal hypertension is encouraged (4).
Transarterial chemoembolization (TACE) is the standard of care for intermediate-stage patients with hepatocellular carcinoma (HCC) and is increasingly used to treat metastatic disease to the liver (5, 6). Theoretically, TACE primarily targets tumor tissue. However, inevitably, part of the administered treatment reaches non-tumorous hepatic parenchyma – known as non-targeted drug delivery. Nontumoral liver tissue is also dependent upon the hepatic artery for oxygenated blood, so embolization-induced ischemia can damage liver tissue and potentially increase PVP over time (7, 8).
Scarce and contradictory data exists about portal hemodynamic changes post-TACE. Invasive measurements using percutaneous transhepatic (9) or transvenous (HVPG) (10) routes performed immediately before and after TACE have not demonstrated any significant change post-procedure in HCC patients. HVPG measured within 9 days and 2 months after TACE did not significantly change from measurements prior therapy, but did increase at 6 months (11). TACE resulted in a significant increase in esophageal variceal pressure in about half of HCC patients with most (89%) showing an increase in portal blood flow (PVBF) on ultrasound 3 days post-procedure (12). PVBF was noted to increase after TACE, reaching a peak at 1 week and returning to pre-procedural values after 3-4 weeks (9, 13) or remaining elevated for at least 2 weeks post-embolization (14). In contrast, no change in PVBF post-TACE was reported (15).
We aimed to investigate long-term effects of repeated TACE on PVP within the context of a longitudinal analysis using non-invasive surrogate markers of portal hypertension.
Materials and Methods
This retrospective single-institution study was compliant with the Health Insurance Portability and Accountability Act and approved by the Institutional Review Board. Informed consent was waived.
Study Design and Groups
A prospectively collected database of patients who underwent TACE was reviewed and 160 consecutive patients were identified. As liver cirrhosis directly impacts PVP, two study groups were evaluated: HCC patients with cirrhosis and patients with metastatic liver disease without cirrhosis.
Inclusion criteria were: HCC diagnosed by biopsy and/or cross-sectional imaging (5), biopsy-proven liver metastasis, contrast-enhanced MRI and complete blood work before/3-6 weeks after each TACE. Exclusion criteria: patients with metastatic liver disease and cirrhosis confirmed by liver biopsy or MR findings suggesting cirrhotic liver (n=1) (16), absence of baseline or follow-up MRI (n=3) or compete blood work (n=23), image artifacts (n=2), incomplete spleen coverage (n=19), splenectomy (n=8), spleen infarction (n=1), splenic vein thrombosis (n=1), diffuse-type HCC (n=3) (9). The final study population included 99 patients.
Non-Invasive Surrogate Markers of Portal Hypertension
Noninvasive techniques for the assessment of portal hypertension have been validated (4). Established surrogate markers for portal hypertension include platelet count, spleen volume, ascites or portosystemic collaterals (4, 17–22). These variables were investigated longitudinally before and after each TACE. Other longitudinally investigated variables were: portal vein thrombosis (PVT), hepatic vein and inferior vena cava (IVC) thrombosis, number of TACEs, TACE-type [conventional (cTACE) vs. drug-eluting beads (DEB-TACE)], microcatheter location [proximal (lobar) vs. distal (segmental/subsegmental)] and delivered payload (doxorubicin dose; volume of Lipiodol and bland beads, and DEBs), baseline tumor burden (tumors number, total tumor and largest tumor size), Eastern Cooperative Oncology Group (ECOG) performance status, Model for End-Stage Liver Disease (MELD) score, and Alpha-fetoprotein (AFP). As portal hypertension is correlated with liver function, Child-Pugh class/score were calculated at baseline and after each TACE to ensure that observed signs of increased PVP were not related to a decrease in liver function over time (23–25).
Medical records were thoroughly reviewed and the advent of any portal hypertension-related complication (such as upper/lower gastrointestinal bleeding, encephalopathy, hepato-renal/pulmonary syndromes, worsening or severe ascites needing paracentesis) was recorded.
TACE Protocol (Supplementary Material 1)
MRI Protocol (Supplementary Material 2)
MR Images Analysis
MR images were evaluated by two expert radiologists (A.B. and R.D., with 13 and 10 years of experience). Readers were blinded to any clinical information. Quantitative semiautomatic tissue segmentation software (Medisys, Philips Research, Suresnes, France) was used to obtain the spleen volume (portal venous phase). This method is accurate and highly reproducible (26). Spleen volumes were measured independently and results were averaged. Ascites was graded on a three-point scale (mild-moderate-severe). Portosystemic collaterals were categorized as paraumbilical, anterior abdominal wall, gastric (left/short gastric veins), para-/esophageal, retroperitoneal (including spleno-/gastro-renal, paravertebral) and mesenteric varices (27). Varices were defined as tubular, tortuous, serpiginous, dilated vascular structures with > 3 mm in diameter except for para- and esophageal varices for which a diameter of > 2 mm was used (28). PVT was classified on a five-point scale (main-lobar-sectorial-segmental-subsegmental). Hepatic vein thrombosis with potential IVC and right atrium extension was noted. Measurement of portal vein diameter has low sensitivity and poorly correlates with the degree of portal hypertension, and was not performed (29, 30). As interobserver variability has been reported in the assessment of variables (31), presence and categorization of ascites, portosystemic collaterals and venous thrombosis were determined in consensus.
Statistical Analysis
Data were summarized using descriptive statistics (count and frequency for categorical variables and mean and range for continuous variables). Each of four outcomes of interest (platelet count, spleen volume, ascites and portosystemic collaterals) was visualized, explored, and analyzed, in relation to key aspects of the dataset as well as to understand the general trend of relationship between TACEs and outcomes.
For visualization, spaghetti plots were created to observe each outcome’s trajectories over time, within subgroups based on tumor type, Child-Pugh stability, or number of visits.
For both exploratory and final analysis, and because of the longitudinal nature of the study and the non-uniform numbers of repeated measurements, we used Generalized Estimating Equations (GEE) (32), where the visit number (=TACE number) in which a measurement takes place was used as a covariate. The exploratory analysis considered several factors as possible predictors of the outcomes, based on the clinical understanding of the disease process as well as factors of significant interest to clinicians. The initially chosen predictors for an outcome at a visit included the number of previous visits, tumor type (HCC vs. metastasis), whether patient’s Child-Pugh class remained stable throughout the course of the treatment, baseline tumor burden, TACE type (cTACE vs. DEB-TACE vs. combination), microcatheter location, whether there was vessel invasion at that visit, AFP, MELD, and ECOG performance status. Also, based on the pattern observed in the visualization, a quadratic term of “visit” was included in the initial factors. From those initial predictors, we use a combination of clinical knowledge and sensitivity analysis, to select the final predictors. In particular, for each outcome, we used Akaike Information Criterion (AIC) to select first, which interactions among number of visits, tumor type, total tumor size, and Child-Pugh stability are important; and second, which “main effects” the remaining predictors were important. For the final analyses, we examined the degree to which each outcome was related to the final predictors using the respective GEE. The identity link was used for platelet count, spleen volume, and portosystemic collaterals, and the logit link was used for the probability of presence of ascites. Calendar time was temporarily added as a predictor to explore the correlation and interchangeability with the number of visits. A power analysis determined the sample size was sufficient to detect with high probability the substantial effects we observed in the study for the relation between additional visits and the outcomes (power>94%). Statistical analysis was performed with R (R Core Team, 2014).
Results
Patient Data
Baseline patient and TACEs characteristics are summarized in Table 1. 84 patients (84.9%) underwent up to 4 procedures and 15 patients up to 9 procedures (5 to 9 TACEs). A mean of 2.8 ± 1.7 TACEs [range, 1-9] were performed per patient. 207 (74.2%) TACEs were performed on the right liver lobe, 53 (19.0%) on the left, and 19 (6.8%) on both lobes. Metastatic group patients had significantly higher baseline tumor burden when compared to the HCC group (number of tumors and total tumor size, both P<0.001).
388 MRI were reviewed; mean MRI per patient was 3.8 ± 1.7 (range, 2-10). Mean time between pre-treatment MRI/labs to the first TACE was 2.4 ± 2.0 weeks (range, 0-7.1)/2.5 ± 2.5 weeks (range, 0-9.9), respectively. Mean time from the first TACE to post-treatment MRI/labs was 3.8 ± 1.4 weeks (range, 0.9-10)/4.1 ± 1.8 weeks (range, 0-11.1), respectively. Mean time from each subsequent TACE to post-treatment MRI/labs was 4.2 ± 1.7 weeks (range, 0.9-11)/4.5 ± 2.0 weeks (range, 0.6-12.3), respectively. Mean follow-up period for the study population was 23.5 ± 25.5 months (range, 0.5-134.6).
Longitudinal Analysis of Platelet Count
Mean baseline platelet count was 239x109/L (95%CI:215-263) for the metastatic group, and was lower by 58x109/L units for the HCC group (P=0.007) (Table 2A). Child-Pugh stability was judged as not predictive by the model. Between baseline and the first TACE, platelet count changed significantly by 72x109/L (95%CI:26-117;P=0.002) for the metastatic group, but not for the HCC group. However, over the full follow-up of up to nine TACEs, platelet count for the metastatic group dropped back to baseline levels and there was no difference from baseline. Similarly, no significant change in platelet count over time was observed in the HCC group (P=0.336) (Table 2A).
Baseline largest tumor size and number of tumors, TACE type/selectivity, AFP/MELD values, and ECOG did not have an effect on platelet count as these factors were dropped during model selection per AIC.
Figure 1 illustrates longitudinal changes over time in platelet count.
Figure 1 Trajectory plot illustrating longitudinal changes over time in platelet count according to the number of TACEs and stratified by Child-Pugh (CP) stability (line = stable, dotted line = unstable) and metastatic (MET)/HCC groups. Line thickness is proportional to patient number (the thicker the line the more patients).
Longitudinal Analysis of Spleen Volume
Baseline mean spleen volume was 226cm3 (95%CI:192–261) for the metastatic group, and was larger by 204cm3 for the HCC group (P<0.001) (Table 2B). Child-Pugh stability was not predictive by the model. Between baseline and the first TACE, mean spleen volume changed significantly by 20cm3 (95%CI:8-32;P=0.001) for all groups (Table 2B). Over the full follow-up (up to 9 TACEs), mean spleen volume was estimated to have increased by 16cm3/TACE (again, regardless of Child-Pugh status or metastatic vs. HCC group) (P=0.099). Mean spleen volume also marginally increased by 23cm3 (95%CI:-1-48;P=0.064) for every increase in total tumor size by one standard deviation (88.6cm) (Table 2B).
Baseline largest tumor size and number of tumors, TACE type/selectivity, AFP/MELD values, and ECOG did not have statistically significant effect on spleen volume.
Figure 2 illustrates longitudinal changes over time in spleen volume.
Figure 2 Trajectory plot illustrating longitudinal changes over time in spleen volume according to the number of TACEs and stratified by Child-Pugh (CP) stability (line = stable, dotted line = unstable) and metastatic (MET)/HCC groups, respectively. Line thickness is proportional to patient number (the thicker the line the more patients).
Longitudinal Analysis of Ascites
No metastatic patient had baseline moderate/severe ascites. HCC patients did not develop moderate/severe ascites after the first TACE (Table 3A). Child-Pugh status was not predictive of developing moderate/severe ascites after the first TACE for both groups. Over the full follow-up, the odds of developing moderate/severe ascites for the metastatic group was decreased by 0.5 (95%CI:0.3–0.9;P=0.014), regardless of the Child-Pugh status (Table 3A). No significant change in the odds of developing moderate/severe ascites over time was observed in HCC patients with stable liver function. However, the odds of developing moderate ascites/severe significantly increased over time by 1.5 (95%CI:1.2–1.9;P<0.001) in HCC patients with unstable Child-Pugh (Table 3A).
Baseline total tumor size or largest tumor size and number of tumors, TACE type/selectivity, presence vascular invasion, and AFP/MELD values had no effect on odds of developing ascites.
Figure 3 illustrates longitudinal changes over time in the presence of moderate/severe ascites.
Figure 3 Scatter plot illustrating longitudinal changes over time in the development of moderate/severe ascites according to the number of TACEs and stratified by Child-Pugh (CP) stability (line = stable, dotted line = unstable) and metastatic (MET)/HCC groups. Each small shape (Δ or O) represents a patient’s presence at a TACE. Shapes are jittered for visualization purposes to avoid cluttering on top of each other. The linear time model in the log(Probability)/(1-log(Probability)) scale shows as a curve (nonlinear) model in the Probability scale.
Longitudinal Analysis of Portosystemic Collaterals Formation
Baseline average number of portosystemic collaterals was significantly increased by 1.4 (95%CI:0.9–1.8) for the HCC group (P<0.001) (Table 3B). No metastatic patient demonstrated baseline portosystemic collaterals. The Child-Pugh status was not predictive of the average number of portosystemic collaterals after the first TACE regardless of the group (0.2 (95%CI: -0.1–0.6);P=0.157). However, an increased ECOG performance status at baseline demonstrated a trend for an increased number of portosystemic collaterals after the first TACE (0.4 (95%CI:-0.1–0.9);P=0.084) (Table 3B). Over the full follow-up, no significant change in the number of portosystemic collaterals was observed in metastatic patients, regardless of their Child-Pugh status (P=0.913), and in HCC patients with stable Child-Pugh (P=0.976). However, HCC patients with unstable Child-Pugh demonstrated an increase over time in the number of the portosystemic collaterals (P=0.008) (Table 3B).
Baseline total tumor size or largest tumor size and number of tumors, TACE type/selectivity, presence vascular invasion, and AFP/MELD values did not have statistically significant effect in the number of portosystemic collaterals.
Figure 4 illustrates longitudinal changes over time in portosystemic collaterals.
Figure 4 Scatter plot illustrating longitudinal changes over time in the number of portosystemic collaterals locations according to the number of TACEs and stratified by Child-Pugh (CP) stability (line = stable, dotted line = unstable) and metastatic (MET)/HCC groups. Each small shape (Δ or O) represents a patient’s presence at a TACE. Shapes are jittered for visualization purposes to avoid cluttering on top of each other. The linear time model in the log(Probability)/(1-log(Probability)) scale shows as a curve (nonlinear) model in the Probability scale.
Portal Hypertension-Related Complications
Platelets transfusion was performed just before and during the first TACE in one HCC patient (1.75%) who underwent one procedure. No platelet transfusion after the initial TACE was required in the HCC group. Metastatic patients did not require platelet transfusions. Paracentesis was performed in one metastatic patient (2.4%) 7 weeks post-2ndTACE and in one HCC patient (1.75%) 9 weeks post-2ndTACE. No metastatic patient had variceal bleeding or encephalopathy. One HCC patient had variceal bleeding 4 weeks post-1stTACE. A month after variceal bleeding, the patient underwent a 2ndTACE followed by a 3rdTACE 8 weeks later, without subsequent complications. Another HCC patient had variceal bleeding complicated by encephalopathy and moderate ascites requiring paracentesis 8 weeks post-3rdTACE. Thus, early and delayed variceal bleeding (i.e. within 4 and 8 weeks of TACE, respectively) occurred in 0.4% of the procedures, respectively. Another HCC patient had a variceal bleed 5 months post-2ndTACE, and was likely unrelated to the procedure. All 3 patients with variceal bleeding underwent right lobar TACE. No correlation was noted between the number of TACEs and variceal bleeding risk. No patient developed hepato-renal/pulmonary syndromes.
Discussion
It is well established that TACE is safe. However, scarce data exist on hemodynamic changes following TACE. In addition, the implications of repeated TACE on non-tumorous liver parenchyma, which is inevitably subjected to ischemic and drug-induced damage due to non-targeted delivery, remains largely unknown. As such, it is of clinical relevance to know whether TACE-related hemodynamic changes and liver damage translate into an increase in PVP, which may potentially lead to portal hypertension-related complications.
Circulatory changes in the portal/splanchnic venous system seem to appear immediately post-TACE and may remain elevated for some weeks (9, 12–14). However, these early modifications in PVBF measured on ultrasound do not necessarily translate in changes in HVPG (10, 11) and systematic increase in variceal pressure (12). These changes are part of a complex homeostatic process in which the embolization-related decrease in the hepatic arterial blood flow is compensated by a PVBF increase (12). The cause of these hemodynamic changes are not well established and are likely multifactorial. On top of arterial blood flow reduction consecutive to the embolization compensated by venous blow flow increment, other acute factors may be incriminated such as TACE-related production of cytokines and growth factors. This has to be integrated with the more complex and dynamic interactions of repeated therapy and its impact on liver parenchyma with architectural tissue changes over time (together with those related to chronic liver disease when present), and potential changes in liver function and cancer lesions.
Similarly to previous studies (9, 12–14), we investigated potential PVP changes after a single TACE. We demonstrated that the spleen volume significantly increased by 20cm3 after the first TACE (regardless of the group and Child-Pugh class change) with no significant impact on platelet count, ascites and number of portosystemic collaterals. Moreover, we examined whether the trend changes at different number of TACEs, including when only including up to two or more procedures, and we did not find any difference (data not shown).
The longitudinal analysis, including all TACEs, demonstrated that repeated TACE did not significantly influence platelet count over time in both groups, regardless of the liver function. This is an important finding as thrombocytopenia is a common issue in cancer patients, in particular in those with chronic liver disease (33). Although patients with more advanced chronic liver disease have a lower platelet count than those with compensated liver disease (34), our results highlight that even in HCC patients who experienced a worsening in their Child-Pugh class over the course of therapy, TACE does not impact platelet count. A significant increase in platelet count was observed in the metastatic group after the first TACE that could be attributed to an inflammatory reaction post-procedure. Importantly, no patient had to be newly transfused with platelets over the course of repeated TACEs.
By using a quantitative approach, we found that patients with a higher baseline tumor burden demonstrated a clear trend of having an increase in their spleen volume by 23cm3 after TACE (P=0.064). Moreover, the spleen volume tended to increase by 16cm3 with each round of TACE in both groups. Taken together these results highlight the fact that although repeated TACEs had an influence on PVP as seen by an increase in spleen volume, however these changes did not translate into a measurable and proportional hypersplenism as demonstrated by the absence of significant platelet count drop.
Both increased outflow resistance and portal venous inflow contribute to sinusoidal hypertension and results in formation of ascites (35). Thus, TACE may directly and indirectly contribute to the formation of ascites. We demonstrated that HCC patients in whom liver function remained stable throughout the course of repeated TACEs did not have an increased risk of developing clinically significant ascites. However, the odds of developing moderate/severe ascites significantly increased over time in HCC patients for whom the liver function decreased during rounds of TACE. Our results not only are in agreement with the well-established fact that progression of liver failure leads to the formation of ascites (4, 23, 35, 36), but also underscore that multiple TACEs per se do not lead to the formation of significant ascites in HCC patients with compensated liver disease. Interestingly, metastatic patients undergoing repeated TACEs had decreased odds of developing moderate/severe ascites, regardless of the Child-Pugh status. TACE-related decrease in tumor burden could be a potential explanation.
No significant change in the number of portosystemic collaterals was observed in metastatic patients, regardless of their liver function, and in HCC patients with stable Child-Pugh. Consistent with the natural history of cirrhosis, we found a clear link between decreased liver function and increase in PVP. Accordingly, HCC patients with unstable Child-Pugh demonstrated a statistically significant increase over time in the number of the portosystemic collaterals.
Despite the influence of TACEs on ascites as discussed above, only one (2.4%) and two (3.5%) patients in the metastatic and HCC groups, respectively, required paracentesis. TACE has been incriminated as a potential cause of variceal bleeding in patients with chronic liver disease, with early studies reporting a rate of 3-8% (37, 38). Our variceal bleeding rate (0.4%) is in agreement with recent series (0.3-1%) (39, 40) highlighting a better patient selection and improved technique.
The strengths of this work include the longitudinal study design, inclusion of HCC and metastatic patients, stratification of results according to liver function, and the use of sophisticated modeling approaches to evaluate interactions. Extensive subgroup analysis was done in both exploratory data analysis and post-model selection.
There were limitations. First, is the retrospective design. Second, our cohort is relatively small because we excluded many patients due to strict inclusion criteria aimed at decreasing missing data and increasing the validity of our results. Importantly, a power analysis determined the sample size was sufficient to detect with high probability the substantial treatment effects we had aimed to see in the study (>94%). Third, the study lacked HVPG measurements. However, we used validated surrogate markers of portal hypertension. Moreover, it is medically unjustifiable to obtain HVPG before and after each TACE. Forth, patients having a spleen too large to fit in the FOV of the MRI dataset were excluded, preventing the inclusion of the biggest spleen volume in the analysis.
In conclusion, repeated TACEs do seem to have an impact on PVP as evidenced by longitudinal analysis of non-invasive surrogate markers of portal hypertension. However, this increase in PVP has marginal effects, and with low portal hypertension-related complications.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics Statement
The studies involving human participants were reviewed and approved by Johns Hopkins Medicine IRB00231486. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.
Author Contributions
CF: Design of the work, analysis, and interpretation of data, statistical analyses. JS: acquisition, analysis, and interpretation of data, statistical analyses. AB: acquisition and interpretation of data, revision of the work. JC, RS, JH, TP, and KH: acquisition and interpretation of data, revision of the work. ML: revision of the work, software technical assistance. RD: conception/design of the work, acquisition, analysis, and interpretation of data, drafting and revision of the work. All authors contributed to the article and approved the submitted version.
Funding
Support for this work was provided by NIH/NCI R01 CA160771, P30 CA006973, Philips Research North America, Cambridge, MA, USA.
Conflict of Interest
RD: Consultant: Boston Scientific/BTG, Guerbet. Grant Support: Boston Scientific/BTG, Guerbet, Society of Interventional Oncology. JC: Grant Support: Boston Scientific/BTG, Guerbet, Society of Interventional Oncology, Philips, Rolf W Guenther Foundation for Radiological Research. RS: grant support from the Max Kade Foundation and Siemens Healthineers. ML: former employee of Philips Research North America and is now an employee and stockholder of Visage Imaging, Inc. KKH: Advisory board for Boston Scientific, AStraZaeneca; Reasearch Support: Boston Scientific/BTG.
The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2021.639235/full#supplementary-material
Abbreviations
TACE, transarterial chemoembolization; PVP, portal venous pressure; HCC, hepatocellular carcinoma; PC, platelet count; HVPG, hepatic venous pressure gradient; PVBF, portal blood flow; ECOG. Eastern Cooperative Oncology Group performance status; MELD, Model for End-Stage Liver Disease; GEE, Generalized Estimating Equations; AIC, Akaike Information Criterion.
References
1. Bosch J, Abraldes JG, Berzigotti A, Garcia-Pagan JC. The Clinical Use of HVPG Measurements in Chronic Liver Disease. Nat Rev Gastroenterol Hepatol (2009) 6:573–82. doi: 10.1038/nrgastro.2009.149
2. Perello A, Escorsell A, Bru C, Gilabert R, Moitinho E, Garcia-Pagan JC, et al. Wedged Hepatic Venous Pressure Adequately Reflects Portal Pressure in Hepatitis C Virus-Related Cirrhosis. Hepatology (1999) 30:1393–7. doi: 10.1002/hep.510300628
3. Groszmann RJ, Bosch J, Grace ND, Conn HO, Garcia-Tsao G, Navasa M, et al. Hemodynamic Events in a Prospective Randomized Trial of Propranolol versus Placebo in the Prevention of a First Variceal Hemorrhage. Gastroenterology (1990) 99:1401–7. doi: 10.1016/0016-5085(90)91168-6
4. Thabut D, Moreau R, Lebrec D. Noninvasive Assessment of Portal Hypertension in Patients With Cirrhosis. Hepatology (2011) 53:683–94. doi: 10.1002/hep.24129
5. EASL Clinical Practice Guidelines: Management of Hepatocellular Carcinoma. European Association for the Study of the Liver. J Hepatol (2018) 69(1):182–236. doi: 10.1016/j.jhep.2018.03.019
6. Mahnken AH, Pereira PL, de Baere T. Interventional Oncologic Approaches to Liver Metastases. Radiology (2013) 266:407–30. doi: 10.1148/radiol.12112544
7. Qu K, Yan Z, Wu Y, Chen Y, Qu P, Xu X, et al. Transarterial Chemoembolization Aggravated Peritumoral Fibrosis via Hypoxia-Inducible Factor-1alpha Dependent Pathway in Hepatocellular Carcinoma. J Gastroenterol Hepatol (2015) 30:925–32. doi: 10.1111/jgh.12873
8. Garwood ER, Fidelman N, Hoch SE, Kerlan RK Jr, Yao FY. Morbidity and Mortality Following Transarterial Liver Chemoembolization in Patients With Hepatocellular Carcinoma and Synthetic Hepatic Dysfunction. Liver Transplantation: Off Publ Am Assoc Study Liver Dis Int Liver Transplant Soc (2013) 19:164–73. doi: 10.1002/lt.23552
9. Moriyasu F, Ban N, Nishida O, Nakamura T, Soh Y, Miura K, et al. Portal Hemodynamics in Patients With Hepatocellular Carcinoma. Radiology (1986) 161:707–11. doi: 10.1148/radiology.161.3.3024207
10. Elia C, Venon WD, Stradella D, Martini S, Brunello F, Marzano A, et al. Transcatheter Arterial Chemoembolization for Hepatocellular Carcinoma in Cirrhosis: Influence on Portal Hypertension. Eur J Gastroenterol Hepatol (2011) 23:573–7. doi: 10.1097/MEG.0b013e32834701f5
11. Scheiner B, Ulbrich G, Mandorfer M, Reiberger T, Muller C, Waneck F, et al. Short- and Long-Term Effects of Transarterial Chemoembolization on Portal Hypertension in Patients With Hepatocellular Carcinoma. United Eur Gastroenterol J (2019) 7:850–8. doi: 10.1177/2050640619840199
12. Okada K, Koda M, Murawaki Y, Kawasaki H. Changes in Esophageal Variceal Pressure After Transcatheter Arterial Embolization for Hepatocellular Carcinoma. Endoscopy (2001) 33:595–600. doi: 10.1055/s-2001-15310
13. Spahr L, Becker C, Pugin J, Majno PE, Hadengue A. Acute Portal Hemodynamics and Cytokine Changesfollowing Selective Transarterial Chemoembolization in Patients With Cirrhosis and Hepatocellular Carcinoma. Med Sci Monitor: Int Med J Exp Clin Res (2003) 9:CR383–8.
14. Ohnishi K, Sato S, Tsunoda T, Sugita S, Nomura F, Iida S. Portal Venous Hemodynamics in Hepatocellular Carcinoma. Effects of Hepatic Artery Embolization. Gastroenterology (1987) 93:591–6. doi: 10.1016/0016-5085(87)90923-1
15. Taourel P, Dauzat M, Lafortune M, Pradel J, Rossi M, Bruel JM. Hemodynamic Changes After Transcatheter Arterial Embolization of Hepatocellular Carcinomas. Radiology (1994) 191:189–92. doi: 10.1148/radiology.191.1.8134569
16. Brancatelli G, Federle MP, Ambrosini R, Lagalla R, Carriero A, Midiri M, et al. Cirrhosis: CT and MR Imaging Evaluation. Eur J Radiol (2007) 61:57–69. doi: 10.1016/j.ejrad.2006.11.003
17. Berzigotti A, Seijo S, Arena U, Abraldes JG, Vizzutti F, Garcia-Pagan JC, et al. Elastography, Spleen Size, and Platelet Count Identify Portal Hypertension in Patients With Compensated Cirrhosis. Gastroenterology (2013) 144:102–11 e1. doi: 10.1053/j.gastro.2012.10.001
18. Giannini E, Botta F, Borro P, Risso D, Romagnoli P, Fasoli A, et al. Platelet Count/Spleen Diameter Ratio: Proposal and Validation of a Non-Invasive Parameter to Predict the Presence of Oesophageal Varices in Patients With Liver Cirrhosis. Gut (2003) 52:1200–5. doi: 10.1136/gut.52.8.1200
19. Pilette C, Oberti F, Aube C, Rousselet MC, Bedossa P, Gallois Y, et al. Non-Invasive Diagnosis of Esophageal Varices in Chronic Liver Diseases. J Hepatol (1999) 31:867–73. doi: 10.1016/S0168-8278(99)80288-8
20. Madhotra R, Mulcahy HE, Willner I, Reuben A. Prediction of Esophageal Varices in Patients With Cirrhosis. J Clin Gastroenterol (2002) 34:81–5. doi: 10.1097/00004836-200201000-00016
21. Hayashi H, Beppu T, Okabe H, Nitta H, Imai K, Doi K, et al. Combined Measurements of Serum Bile Acid Level and Splenic Volume May Be Useful to Noninvasively Assess Portal Venous Pressure. J Gastroenterol (2012) 47:1336–41. doi: 10.1007/s00535-012-0599-7
22. Kravetz D, Bildozola M, Argonz J, Romero G, Korula J, Munoz A, et al. Patients With Ascites Have Higher Variceal Pressure and Wall Tension Than Patients Without Ascites. Am J Gastroenterol (2000) 95:1770–5. doi: 10.1111/j.1572-0241.2000.02178.x
23. Braillon A, Cales P, Valla D, Gaudy D, Geoffroy P, Lebrec D. Influence of the Degree of Liver Failure on Systemic and Splanchnic Haemodynamics and on Response to Propranolol in Patients With Cirrhosis. Gut (1986) 27:1204–9. doi: 10.1136/gut.27.10.1204
24. Nagula S, Jain D, Groszmann RJ, Garcia-Tsao G. Histological-Hemodynamic Correlation in Cirrhosis-a Histological Classification of the Severity of Cirrhosis. J Hepatol (2006) 44:111–7. doi: 10.1016/j.jhep.2005.07.036
25. Sethasine S, Jain D, Groszmann RJ, Garcia-Tsao G. Quantitative Histological-Hemodynamic Correlations in Cirrhosis. Hepatology (2012) 55:1146–53. doi: 10.1002/hep.24805
26. Tacher V, Lin M, Chao M, Gjesteby L, Bhagat N, Mahammedi A, et al. Semiautomatic Volumetric Tumor Segmentation for Hepatocellular Carcinoma: Comparison Between C-Arm Cone Beam Computed Tomography and MRI. Acad Radiol (2013) 20:446–52. doi: 10.1016/j.acra.2012.11.009
27. Kang HK, Jeong YY, Choi JH, Choi S, Chung TW, Seo JJ, et al. Three-Dimensional Multi-Detector Row CT Portal Venography in the Evaluation of Portosystemic Collateral Vessels in Liver Cirrhosis. Radiographics (2002) 22:1053–61. doi: 10.1148/radiographics.22.5.g02se011053
28. Kim SH, Lee JM, Choi JY, Suh KS, Yi NJ, Han JK, et al. Changes of Portosystemic Collaterals and Splenic Volume on CT After Liver Transplantation and Factors Influencing Those Changes. AJR Am J Roentgenol (2008) 191:W8–16. doi: 10.2214/AJR.07.2990
29. Vilgrain V, Lebrec D, Menu Y, Scherrer A, Nahum H. Comparison Between Ultrasonographic Signs and the Degree of Portal Hypertension in Patients With Cirrhosis. Gastrointestinal Radiol (1990) 15:218–22. doi: 10.1007/BF01888780
30. Bolondi L, Gandolfi L, Arienti V, Caletti GC, Corcioni E, Gasbarrini G, et al. Ultrasonography in the Diagnosis of Portal Hypertension: Diminished Response of Portal Vessels to Respiration. Radiology (1982) 142:167–72. doi: 10.1148/radiology.142.1.7053528
31. Iranmanesh P, Vazquez O, Terraz S, Majno P, Spahr L, Poncet A, et al. Accurate Computed Tomography-Based Portal Pressure Assessment in Patients With Hepatocellular Carcinoma. J Hepatol (2014) 60:969–74. doi: 10.1016/j.jhep.2013.12.015
32. Liang K-Y, Zeger SL. Longitudinal Data Analysis Using Generalized Linear Models. Biometrika (1986) 73:13–22. doi: 10.1093/biomet/73.1.13
33. Afdhal N, McHutchison J, Brown R, Jacobson I, Manns M, Poordad F, et al. Thrombocytopenia Associated With Chronic Liver Disease. J Hepatol (2008) 48:1000–7. doi: 10.1016/j.jhep.2008.03.009
34. Giannini EG, Botta F, Borro P, Dulbecco P, Testa E, Mansi C, et al. Application of the Platelet Count/Spleen Diameter Ratio to Rule Out the Presence of Oesophageal Varices in Patients With Cirrhosis: A Validation Study Based on Follow-Up. Dig Liver Dis (2005) 37:779–85. doi: 10.1016/j.dld.2005.05.007
35. Sanyal AJ, Bosch J, Blei A, Arroyo V. Portal Hypertension and Its Complications. Gastroenterology (2008) 134:1715–28. doi: 10.1053/j.gastro.2008.03.007
36. Garcia–Tsao G. Current Management of the Complications of Cirrhosis and Portal Hypertension: Variceal Hemorrhage, Ascites, and Spontaneous Bacterial Peritonitis. Gastroenterology (2001) 120:726–48. doi: 10.1053/gast.2001.22580
37. Lin DY, Hung CF, Chen PC, Wu CS. Gastrointestinal Bleeding After Hepatic Transcatheter Arterial Embolization in Patients With Hepatocellular Carcinoma. Gastrointest Endosc (1996) 43:132–7. doi: 10.1016/S0016-5107(06)80115-X
38. Desautels SG, Slivka A, Schoen RE, Carr B, Rabinovitz M, Silverman W. Gastrointestinal Bleeding in Cirrhotic Patients With Hepatocellular Carcinoma Undergoing Intrahepatic Artery Chemotherapy. Gastrointestinal Endoscopy (1997) 46:430–4. doi: 10.1016/S0016-5107(97)70036-1
39. Pietrosi G, Miraglia R, Luca A, Vizzini GB, Fili D, Riccardo V, et al. Arterial Chemoembolization/Embolization and Early Complications After Hepatocellular Carcinoma Treatment: A Safe Standardized Protocol in Selected Patients With Child Class A and B Cirrhosis. J Vasc Interv Radiol (2009) 20:896–902. doi: 10.1016/j.jvir.2009.03.032
Keywords: portal hypertension, longitudinal data analysis, transarterial chemoembolization, TACE, hepatocellular carcinoma, HCC, variceal bleeding
Citation: Frangakis C, Sohn JH, Bas A, Chapiro J, Schernthaner RE, Lin M, Hamilton JP, Pawlik TM, Hong K and Duran R (2021) Longitudinal Analysis of the Effect of Repeated Transarterial Chemoembolization for Liver Cancer on Portal Venous Pressure. Front. Oncol. 11:639235. doi: 10.3389/fonc.2021.639235
Received: 08 December 2020; Accepted: 22 October 2021;
Published: 05 November 2021.
Edited by:
Sabah Jassim, University of Buckingham, United KingdomReviewed by:
Hooman Yarmohammadi, Memorial Sloan Kettering Cancer Center, United StatesLin Yang, Affiliated Hospital of North Sichuan Medical College, China
Copyright © 2021 Frangakis, Sohn, Bas, Chapiro, Schernthaner, Lin, Hamilton, Pawlik, Hong and Duran. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Rafael Duran, cmFmYWVsLmR1cmFuQGNodXYuY2g=