A Prognostic Model To Predict Survival After Recurrence Among Patients With Recurrent Hepatocellular Carcinoma.

OBJECTIVE: We sought to develop and validate a preoperative model to predict survival after recurrence (SAR) in hepatocellular carcinoma (HCC). BACKGROUND: Although HCC is characterized by recurrence as high as 60%, models to predict outcomes after recurrence remain relatively unexplored. METHODS: Patients who developed recurrent HCC between 2000 and 2020 were identified from an international multi-institutional database. Clinicopathologic data on primary disease and laboratory and radiologic imaging data on recurrent disease were collected. Multivariable Cox regression analysis and internal bootstrap validation (5000 repetitions) were used to develop and validate the SARScore. Optimal Survival Tree analysis was used to characterize SAR among patients treated with various treatment modalities. RESULTS: Among 497 patients who developed recurrent HCC, median SAR was 41.2 months (95% CI 38.1-52.0). The presence of cirrhosis, number of primary tumors, primary macrovascular invasion, primary R1 resection margin, AFP>400 ng/mL on the diagnosis of recurrent disease, radiologic extrahepatic recurrence, radiologic size and number of recurrent lesions, radiologic recurrent bilobar disease, and early recurrence (≤24 months) were included in the model. The SARScore successfully stratified 1-, 3- and 5-year SAR and demonstrated strong discriminatory ability (3-year AUC: 0.75, 95% CI 0.70-0.79). While a subset of patients benefitted from resection/ablation, Optimal Survival Tree analysis revealed that patients with high SARScore disease had the worst outcomes (5-year AUC; training: 0.79 vs. testing: 0.71). The SARScore model was made available online for ease of use and clinical applicability ( https://yutaka-endo.shinyapps.io/SARScore/ ). CONCLUSION: The SARScore demonstrated strong discriminatory ability and may be a clinically useful tool to help stratify risk and guide treatment for patients with recurrent HCC.

Perioperative Changes in Serum Transaminase Levels: Impact on Postoperative Morbidity Following Liver Resection of Hepatocellular Carcinoma.

OBJECTIVES: To define how dynamic changes in pre- versus post-operative serum aspartate aminotransferase (AST) and alanine aminotransaminase (ALT) levels may impact postoperative morbidity after curative-intent resection of hepatocellular carcinoma (HCC). BACKGROUND: Hepatic ischemia/reperfusion can occur at the time of liver resection and may be associated with adverse outcomes following liver resection. METHODS: Patients who underwent curative resection for HCC between 2010-2020 were identified from an international multi-institutional database. Changes in AST and ALT (CAA) on postoperative day (POD) 3 versus preoperative values () were calculated using the formula: based on a fusion index via Euclidean norm, which was examined relative to the comprehensive complication index (CCI). The impact of CAA on CCI was assessed by the restricted cubic spline regression and Random Forest analyses. RESULTS: A total of 759 patients were included in the analytic cohort. Median CAA was 1.7 (range, 0.9 to 3.25); 431 (56.8%) patients had a CAA<2, 215 (28.3%) patients with CAA 2-5, and 113 (14.9%) patients had CAA ≥5. The incidence of post-operative complications was 65.0% (n=493) with a median CCI of 20.9 (IQR, 20.9-33.5). Spline regression analysis demonstrated a non-linear incremental association between CAA and CCI. The optimal cutoff value of CAA=5 was identified by the recursive partitioning technique. After adjusting for other competing risk factors, CAA≥5 remained strongly associated with risk of post-operative complications (Ref. CAA<5, OR 1.63, 95%CI 1.05-2.55, P=0.03). In fact, the use of CAA to predict post-operative complications was very good in both the derivative (AUC 0.88) and external (ACU 0.86) cohorts (n=1137). CONCLUSIONS: CAA was an independent predictor of CCI after liver resection for HCC. Use of routine labs such as AST and ALT can help identify patients at highest risk of post-operative complications following HCC resection.

Perioperative Lymphopenia is Associated with Increased Risk of Recurrence and Worse Survival Following Hepatectomy for Hepatocellular Carcinoma.

INTRODUCTION: Immune dysregulation may be associated with cancer progression. We sought to investigate the prognostic value of perioperative lymphopenia on short- and long-term outcomes among patients undergoing resection of hepatocellular carcinoma (HCC). METHODS: Patients undergoing resection of HCC between 2000 and 2020 were identified using an international database. The incidence and impact of perioperative lymphopenia [preoperative, postoperative day (POD) 1/3/5], defined as absolute lymphocyte count (ALC) <1000/µL, on short- and long-term outcomes was assessed. RESULTS: Among 1448 patients, median preoperative ALC was 1593/µL [interquartile range (IQR) 1208-2006]. The incidence of preoperative lymphopenia was 14.0%, and 50.2%, 45.1% and 35.6% on POD1, POD3 and POD5, respectively. Preoperative lymphopenia predicted 5-year overall survival (OS) [lymphopenia vs. no lymphopenia: 49.1% vs. 66.1%] and 5-year disease-free survival (DFS) [25.0% vs. 41.5%] (both p < 0.05). Lymphopenia on POD1 (5-year OS: 57.1% vs. 71.2%; 5-year DFS: 30.0% vs. 41.1%), POD3 (5-year OS: 57.3% vs. 68.9%; 5-year DFS: 35.4% vs. 42.7%), and POD5 (5-year OS: 53.1% vs. 66.1%; 5-year DFS: 32.8% vs. 42.3%) was associated with worse long-term outcomes (all p < 0.05). Patients with severe lymphopenia (ALC <500/µL) on POD5 had worse 5-year OS and DFS (5-year OS: 44.7% vs. 54.3% vs. 66.1%; 5-year DFS: 27.8% vs. 33.3% vs. 42.3%) [both p < 0.05], as well as higher incidence of overall (45.5% vs. 25.3% vs. 30.9%; p = 0.013) and major complications (18.2% vs. 3.4% vs. 4.5%; p < 0.001) versus individuals with moderate (ALC 500-1000/µL) or no lymphopenia following hepatectomy for HCC. After adjusting for competing risk factors, prolonged lymphopenia was independently associated with higher hazards of death [hazard ratio (HR) 1.38, 95% CI 1.11-1.72] and recurrence (HR 1.22, 95% CI 1.02-1.45). CONCLUSION: Perioperative lymphopenia had short- and long-term prognostic implications among individuals undergoing hepatectomy for HCC.

IP3R-driven increases in mitochondrial Ca2+ promote neuronal death in NPC disease.

Ca2+ is the most ubiquitous second messenger in neurons whose spatial and temporal elevations are tightly controlled to initiate and orchestrate diverse intracellular signaling cascades. Numerous neuropathologies result from mutations or alterations in Ca2+ handling proteins; thus, elucidating molecular pathways that shape Ca2+ signaling is imperative. Here, we report that loss-of-function, knockout, or neurodegenerative disease-causing mutations in the lysosomal cholesterol transporter, Niemann-Pick Type C1 (NPC1), initiate a damaging signaling cascade that alters the expression and nanoscale distribution of IP3R type 1 (IP3R1) in endoplasmic reticulum membranes. These alterations detrimentally increase Gq-protein coupled receptor-stimulated Ca2+ release and spontaneous IP3R1 Ca2+ activity, leading to mitochondrial Ca2+ cytotoxicity. Mechanistically, we find that SREBP-dependent increases in Presenilin 1 (PS1) underlie functional and expressional changes in IP3R1. Accordingly, expression of PS1 mutants recapitulate, while PS1 knockout abrogates Ca2+ phenotypes. These data present a signaling axis that links the NPC1 lysosomal cholesterol transporter to the damaging redistribution and activity of IP3R1 that precipitates cell death in NPC1 disease and suggests that NPC1 is a nanostructural disease.

Advocacy Skill Development in Public Health Education Curriculum: A Pilot Study.

The National Commission for Health Education Credentialing (NCHEC) released updated Responsibilities and Competencies for Health Education Specialists based on the 2020 HESPA II. For the first time, advocacy is a standalone area of responsibility (Area V: Advocacy) for health education specialists. Although this is exciting for the field of health education, there is limited consensus on how to effectively teach advocacy or what content and skills to include. Furthermore, while the HESPA II was updated, the Council on Education for Public Health (CEPH) criteria for advocacy have not been. This pilot study examined how CEPH-accredited programs in the United States are addressing the profession-wide advocacy competency in their health education curricula. A cross-sectional research design with single-point data collection was used to assess how CEPH-accredited university programs (including Standalone Baccalaureate Programs, Public Health Programs, and Schools of Public Health) are preparing health education students to meet the national advocacy responsibility. The survey included items from the Advocacy Area of Responsibility and potential barriers for faculty teaching advocacy. Results indicate that most programs are teaching something about advocacy, but there is no program teaching all listed sub-competencies. Barriers to including all components of the advocacy responsibility were largely related to faculty motivation, knowledge, and time. With a full responsibility area devoted to advocacy, it is reasonable to expect that programs will adjust with the profession. However, program administrators must be catalysts for these changes in their individual programs.

The aMAP score predicts long-term outcomes after resection of hepatocellular carcinoma: a multi-institutional analysis.

BACKGROUND: The aMAP score is a proposed model to predict the development of hepatocellular carcinoma (HCC) among high-risk patients with chronic hepatitis. The role of the aMAP score to predict long-term survival among patients following resection of HCC has not been determined. METHODS: Patients undergoing resection for HCC between 2000 and 2020 were identified using a multi-institutional database. The impact of the aMAP score on long-term outcomes following HCC resection was assessed. RESULTS: Among 1377 patients undergoing resection for HCC, a total of 972 (70.6 %) patients had a low aMAP score (≤63), whereas 405 (29.4 %) individuals had a high aMAP score (≥64). aMAP score was associated with 5-year OS in the entire cohort (low vs high aMAP score:66.5 % vs. 54.3 %, p < 0.001). aMAP score predicted 5-year OS following resection among patients with HBV-HCC (low vs. high aMAP:68.8 % vs. 55.6 %, p = 0.01) and NASH/other-HCC (64.7 % vs. 53.7, p = 0.04). aMAP score could sub-stratify 5-year OS among patients undergoing HCC resection within (low vs. high aMAP:81.5 % vs. 67.4 %, p < 0.001) and beyond (55.9 % vs. 38.8 %, p < 0.001) Milan criteria. DISCUSSION: The aMAP score predicted postoperative outcomes following resection of HCC within and beyond Milan criteria. Apart from a surveillance tool, the aMAP score can also be used as a prognostic tool among patients undergoing resection of HCC.

Impact of an artificial intelligence based model to predict non-transplantable recurrence among patients with hepatocellular carcinoma.

OBJECTIVE: We sought to develop Artificial Intelligence (AI) based models to predict non-transplantable recurrence (NTR) of hepatocellular carcinoma (HCC) following hepatic resection (HR). METHODS: HCC patients who underwent HR between 2000-2020 were identified from a multi-institutional database. NTR was defined as recurrence beyond Milan Criteria. Different machine learning (ML) and deep learning (DL) techniques were used to develop and validate two prediction models for NTR, one using only preoperative factors and a second using both preoperative and postoperative factors. RESULTS: Overall, 1763 HCC patients were included. Among 877 patients with recurrence, 364 (41.5%) patients developed NTR. An ensemble AI model demonstrated the highest area under ROC curves (AUC) of 0.751 (95% CI: 0.719-0.782) and 0.717 (95% CI:0.653-0.782) in the training and testing cohorts, respectively which improved to 0.858 (95% CI: 0.835-0.884) and 0.764 (95% CI: 0.704-0.826), respectively after incorporation of postoperative pathologic factors. Radiologic tumor burden score and pathological microvascular invasion were the most important preoperative and postoperative factors, respectively to predict NTR. Patients predicted to develop NTR had overall 1- and 5-year survival of 75.6% and 28.2%, versus 93.4% and 55.9%, respectively, among patients predicted to not develop NTR (p < 0.0001). CONCLUSION: The AI preoperative model may help inform decision of HR versus LT for HCC, while the combined AI model can frame individualized postoperative care (https://altaf-pawlik-hcc-ntr-calculator.streamlit.app/).

Prognostic significance of postoperative complications for patients with hepatocellular carcinoma relative to alpha-feto protein and tumor burden score.

BACKGROUND: We sought to elucidate the impact of postoperative complications on patient outcomes relative to differences in alpha-fetoprotein-tumor burden score (ATS) among patients with hepatocellular carcinoma (HCC). METHODS: Patients who underwent resection of HCC between 2000 and 2020 were identified from an international database. Moderate/severe complications were defined using the optimal cut-off value of the comprehensive complication index (CCI) based on the log-rank test. RESULTS: A total of 1124 patients was included. CCI cut-off value of 16.6 was identified as the optimal prognostic threshold. Patients who experienced moderate/severe complications were more likely to have worse recurrence free survival [RFS] versus individuals who had no/mild complications (2-year RFS; no/mild complication: 55.9% vs. moderate/severe complication: 38.1% p < 0.001). Of note, low and medium ATS patients who experienced moderate/severe complications had a higher risk of recurrence (2-year RFS; no/mild complication: postoperative complications 70.0% vs. moderate/severe complication: 51.1%, p = 0.006; medium: no/mild complication: 50.8% vs moderate/severe complication: 56.7%, p = 0.01); however, postoperative complications were not associated with worse outcomes among patients with high ATS (no/mild complication: 39.1% vs. moderate/severe complication: 29.2%, p = 0.20). CONCLUSION: These data serve to emphasize how reduction in postoperative complications may be crucial to improve prognosis, particularly among patients with favorable HCC characteristics.

Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique. METHODS: Data on patients undergoing resection for HCC were obtained from an international, multi-institutional database between 2000 and 2020. Gradient boosted trees were utilized to construct predictive models. RESULTS: Among 962 patients who underwent HCC resection, the incidence of severe postoperative complications was 12.7% (n = 122); in-hospital mortality was 2.9% (n = 28). Models that exclusively used preoperative data achieved AUC values of 0.89 (95%CI 0.85 to 0.92) and 0.90 (95%CI 0.84 to 0.96) to predict severe complications and mortality, respectively. Models that combined preoperative and postoperative data achieved AUC values of 0.93 (95%CI 0.91 to 0.96) and 0.92 (95%CI 0.86 to 0.97) for severe morbidity and mortality, respectively. The SHAP algorithm demonstrated that the factor most strongly predictive of severe morbidity and mortality was postoperative day 1 and 3 albumin-bilirubin (ALBI) scores. CONCLUSION: Incorporation of perioperative data including ALBI scores using ML techniques can help risk-stratify patients undergoing resection of HCC.

Ecodesign and Operational Strategies to Reduce the Carbon Footprint of MRI for Energy Cost Savings.

Background Radiology is a major contributor to health care's climate footprint due to energy-intensive devices, particularly MRI, which uses the most energy. Purpose To determine the energy, cost, and carbon savings that could be achieved through different scanner power management strategies. Materials and Methods In this retrospective evaluation, four outpatient MRI scanners from three vendors were individually equipped with power meters (1-Hz sampling rate). Power measurement logs were extracted for 39 days. Data were segmented into off, idle, prepared-to-scan, scan, or power-save modes for each scanner. Energy, cost (assuming a mean cost of $0.14 per kilowatt hour), and carbon savings were calculated for the lowest scanner activity modes. Data were summarized using descriptive statistics and 95% CIs. Results Projected annual energy consumption per scanner ranged from 82.7 to 171.1 MW-hours, with 72%-91% defined as nonproductive. Power draws for each mode were measured as 6.4 kW ± 0.1 (SD; power-save mode), 7.3 kW ± 0.6 to 9.7 kW ± 0.2 (off), 9.5 kW ± 0.9 to 14.5 kW ± 0.5 (idle), 17.3 kW ± 0.5 to 25.6 kW ± 0.6 (prepared-to-scan mode), and 28.6 kW ± 8.6 to 48.3 kW ± 11.8 (scan mode). Switching MRI units from idle to off mode for 12 hours overnight reduced power consumption by 25%-33%, translating to a potential annual savings of 12.3-21.0 MW-hours, $1717-$2943, and 8.7-14.9 metric tons of carbon dioxide (CO2) equivalent (MTCO2eq). The power-save mode further reduced consumption by 22%-28% compared with off mode, potentially saving an additional 8.8-11.4 MW-hours, $1226-$1594, and 6.2-8.1 MTCO2eq per year for 12 hours overnight. Implementation of a power-save mode for 12 hours overnight in all outpatient MRI units in the United States could save U.S. health care 58 863.2-76 288.2 MW-hours, $8.2-$10.7 million, and 41 606.4-54 088.3 MTCO2eq. Conclusion Powering down MRI units made radiology departments more energy efficient and showed substantial sustainability and cost benefits. © RSNA, 2023 Supplemental material is available for this article. See also the article by Vosshenrich and Heye in this issue.

Impact of Surgical Margin Width on Prognosis Following Resection of Hepatocellular Carcinoma Varies on the Basis of Preoperative Alpha-Feto Protein and Tumor Burden Score.

BACKGROUND: We sought to examine the prognostic impact of margin width at time of hepatocellular carcinoma (HCC) resection relative to the alpha-feto protein tumor burden score (ATS). PATIENTS AND METHODS: Patients who underwent curative-intent hepatectomy for HCC between 2000 and 2020 were identified from a multi-institutional database. The impact of margin width on overall survival and recurrence-free survival was examined relative to ATS using univariable and multivariable analyses. RESULTS: Among 782 patients with HCC who underwent resection, median ATS was 6.5 [interquartile range (IQR) 4.3-10.2]. Most patients underwent R0 resection (n = 613, 78.4%); among patients who had an R0 resection, 325 (41.6%) had a margin width > 5 mm while 288 (36.8%) had a 0-5 mm margin width. Among patients with high ATS, an increasing margin width was associated with incrementally better overall and recurrence-free survival. In contrast, among patients with low ATS, margin width was not associated with long-term outcomes. On multivariable Cox regression analysis, each unit increase in ATS was independently associated with a 7% higher risk of death [hazard ratio (HR) 1.07; 95% confidence interval (CI) 1.03-1.11, p < 0.001]. While the incidence of early recurrence was not associated with margin width among patients with low ATS, wider margin width was associated with an incrementally lower incidence of early recurrence among patients with high ATS. CONCLUSION: ATS, an easy-to-use composite tumor-related metric, was able to risk stratify patients following resection of HCC relative to overall survival and recurrence-free survival. The therapeutic impact of resection margin width had a variable impact on long-term outcomes relative to ATS.

Variations in Textbook Oncologic Outcomes After Curative-Intent Resection: Early Versus Intermediate Hepatocellular Carcinoma Based on Barcelona Clinic Liver Cancer Criteria and Child-Pugh Classification.

BACKGROUND: The impact of early versus intermediate hepatocellular carcinoma (HCC) on short-term "optimal" outcomes remains ill-defined. This study sought to define the incidence of textbook oncologic outcomes (TOO), as well as to identify factors associated with TOO among patients with early versus intermediate HCC. METHODS: Patients who underwent curative-intent liver resection for HCC (1998-2020) were identified from a multi-institutional database. Textbook oncologic outcome (TOO) was defined as negative surgical margins, no return to the operating room, no extended hospital stay, no severe complications, and no 90-day mortality or readmission. Patients were stratified as early HCC (BCLC 0 or BCLC A/Child-Pugh A) or intermediate HCC (BCLC A/Child-Pugh B or BCLC B). Multivariate logistic regression analysis was used to assess factors associated with TOO. RESULTS: Among 1383 patients, the overall incidence of TOO was 69.0%. Patients with intermediate HCC were less likely to achieve a TOO (early [71.6 %] vs. intermediate [60.1%]; p < 0.001). On multivariate analysis, factors associated with decreased odds of a TOO were high tumor burden (odds ratio [OR], 0.57; 95% confidence interval [CI], 0.33-1.00), high aspartate transaminase-platelet ratio index (APRI) (OR, 0.46; 95% CI, 0.30-0.70), Charlson Comorbidity Index (CCI) greater than 3 (OR, 0.67; 95% CI, 0.49-0.91), major liver resection (OR, 0.68; 95% CI, 0.52-0.90), and intermediate HCC (OR, 0.68; 95% CI, 0.50-0.93) (all p < 0.05). Notably, although high APRI, CCI greater than 3, and major liver resection contributed to lower odds of a TOO in early HCC, the only factor that adversely impacted TOO in intermediate HCC was high tumor burden. CONCLUSIONS: Patients with intermediate HCC and early HCC patients with liver dysfunction, comorbidities, or an extensive resection were less likely to achieve an "optimal" postoperative outcome.

TBS-Based Preoperative Score to Predict Non-transplantable Recurrence and Identify Candidates for Upfront Resection Versus Transplantation for Hepatocellular Carcinoma.

BACKGROUND: Recurrence following liver resection (LR) for hepatocellular carcinoma (HCC) can be as high as 50-70%. While salvage liver transplantation may be feasible, patients may develop a non-transplantable recurrence (NTR) (recurrence beyond Milan criteria). We sought to identify preoperative risk factors to predict NTR after resection. PATIENTS AND METHODS: Patients who underwent curative-intent LR for HCC were identified from a multi-institutional database. Preoperative factors associated with NTR were identified and a risk score model (NTR score) was developed and validated. RESULTS: Among 1620 patients, 842 (52.0%) developed recurrence; among patients with recurrence, NTR occurred in 341 (40.5%) with a median recurrence-free survival (RFS) of 30 months (24.7-35.3 months). On multivariable analysis, factors associated with NTR included alpha fetoprotein (AFP) > 400 ng/mL [hazard ratio (HR) 1.71, 95% confidence interval (CI) 1.33-2.19], albumin-bilirubin grade (ALBI) (referent low, medium ALBI: HR 1.41, 95% CI 1.10-1.81, high ALBI: HR 2.47, 95% CI 0.91-6.68), and tumor burden score (TBS) (referent low, high TBS: HR 2.55, 95% CI, 1.99-3.28). A simplified TBS-based NTR score was developed using the ß-coefficients of each factor (C-index 0.68, 95% CI 0.65-0.71). Higher NTR score was associated with incrementally worse 5-year RFS (low 44.8%, medium 37.5%, high 24.5%) [area under the curve (AUC) 0.59] and increased incidence of NTR (low 13.7%, medium 25.4%, high 38.2%) (AUC 0.65) (both p < 0.001). Moreover, higher NTR score was associated with higher risk of extrahepatic recurrence (low 11.3%, medium 28.8%, high 37.5%) (p < 0.001). CONCLUSION: NTR following curative-intent resection of HCC occurred in one in five patients. A simple TBS-based NTR score accurately predicted the risk of NTR and may help identify candidates for upfront resection versus transplantation.

A Novel Online Calculator to Predict Risk of Microvascular Invasion in the Preoperative Setting for Hepatocellular Carcinoma Patients Undergoing Curative-Intent Surgery.

BACKGROUND: The presence of microvascular invasion (MVI) has been highlighted as an important determinant of hepatocellular carcinoma (HCC) prognosis. We sought to build and validate a novel model to predict MVI in the preoperative setting. METHODS: Patients who underwent curative-intent surgery for HCC between 2000 and 2020 were identified using a multi-institutional database. Preoperative predictive models for MVI were built, validated, and used to develop a web-based calculator. RESULTS: Among 689 patients, MVI was observed in 323 patients (46.9%). On multivariate analysis in the test cohort, preoperative parameters associated with MVI included α-fetoprotein (AFP; odds ratio [OR] 1.50, 95% confidence interval [CI] 1.23-1.83), imaging tumor burden score (TBS; hazard ratio [HR] 1.11, 95% CI 1.04-1.18), and neutrophil-to-lymphocyte ratio (NLR; OR 1.18, 95% CI 1.03-1.35). An online calculator to predict MVI was developed based on the weighted ß-coefficients of these three variables ( https://yutaka-endo.shinyapps.io/MVIrisk/ ). The c-index of the test and validation cohorts was 0.71 and 0.72, respectively. Patients with a high risk of MVI had worse disease-free survival (DFS) and overall survival (OS) compared with low-risk MVI patients (3-year DFS: 33.0% vs. 51.9%, p < 0.001; 5-year OS: 44.2% vs. 64.8%, p < 0.001). DFS was worse among patients who underwent an R1 versus R0 resection among those patients at high risk of MVI (R0 vs. R1 resection: 3-year DFS, 36.3% vs. 16.1%, p = 0.002). In contrast, DFS was comparable among patients at low risk of MVI regardless of margin status (R0 vs. R1 resection: 3-year DFS, 52.9% vs. 47.3%, p = 0.16). CONCLUSION: Preoperative assessment of MVI using the online tool demonstrated very good accuracy to predict MVI.

The COVID-19 Era Is Associated With Delays in Esophageal Cancer Diagnosis and Treatment.

INTRODUCTION: The coronavirus disease-2019 (COVID-19) pandemic has substantially affected the delivery of healthcare globally. The purpose of this study was to evaluate the association of this era with the timeline of care in esophageal cancer patients. METHODS: We performed a retrospective chart-review of patients presenting to a single high-volume tertiary care center with the diagnosis of esophageal cancer. COVID era was defined as March 2020-December 2020 and compared with the year before (3/2019-12/2019). RESULTS: In total, 117 patients presented in the COVID-era versus 190 in pre-COVID. Stage 3 + 4 disease was found in 77.8% of the patients in the COVID-era compared to 68.9% in the pre-COVID era (P = 0.34). Diagnoses through emergency department admission were 35.5% in the COVID versus 26.7% in the pre-COVID group (P = 0.15). In the COVID era it took a median of 78 d to visit primary care provider (versus 52 d, P = 0.12 in pre-COVID), 45 d to endoscopy (versus 18 d, P = 0.004) and 38 d to treatment initiation (versus 36 d, P = 0.48). Thirty-five percent of the patients underwent esophagectomy compared to 26% in the pre-COVID-era. Median days of intensive-care-unit (ICU) (2 versus 3, P = 0.16) and hospital stay (14 versus 15, P = 0.28) were similar in both groups as well as postoperative 30-day morbidities (63 versus 63%, P = 0.48). One-year follow-up showed 83.7% (95% confidence interval [CI]: 73.8%-90.1%) survival in the COVID-group compared to 76.4% (95% CI: 66.9%-83.5%) in the pre-COVID-group (P = 0.58). Only three patients had a positive COVID result. CONCLUSIONS: Our institution treated fewer esophageal cancer patients during COVID-19 accompanied by a delay in endoscopic diagnosis. Postoperative outcomes and 1-year survival remained similar.

TAC score better predicts survival than the BCLC following resection of hepatocellular carcinoma.

BACKGROUND: Heterogeneity in hepatocellular carcinoma (HCC) still exists within the Barcelona clinic liver cancer (BCLC) subcategories. We developed a simple model to better discriminate and predict prognosis following resection. METHODS: Patients who underwent curative-intent resection for HCC were identified from a multi-institutional database. Predictive factors of survival were identified to develop TAC (tumor burden score [TBS], alpha-fetoprotein [AFP], Child-Pugh CP]) score. RESULTS: Among 1435 patients, median TBS was 5.1 (interquartile range [IQR]: 3.2-8.1), median AFP was 18.3 ng/ml (IQR 4.0-362.5), and 1391 (96.9%) patients were classified as CP-A. Factors associated with overall survival (OS) included TBS (low: referent; medium: HR 2.26, 95% CI: 1.73-2.96; high: HR = 3.35, 95% CI: 2.22-5.07), AFP (<400 ng/ml: referent; >400 ng/ml: HR = 1.56, 95% CI: 1.27-1.92), and CP (A: referent; B: HR = 1.81, 95% CI: 1.12-2.92) (all p < 0.05). A simplified risk score demonstrated superior concordance index, Akaike information criteria, homogeneity, and area under the curve versus BCLC (0.620 vs. 0.541; 5484.655 vs. 5536.454; 60.099 vs. 16.194; 0.62 vs. 0.55, respectively), and further stratified patients within BCLC groups relative to OS (BCLC 0, very low: 86.8%, low: 47.8%) (BCLC A, very low: 79.7%, low: 68.1%, medium: 52.5%, high: 35.6%) (BCLC B, low: 59.8%, medium: 43.7%, high: N/A). CONCLUSION: TAC is a simple, holistic score that consistently outperformed BCLC relative to discrimination power and prognostication following resection of HCC.

Machine-Based Learning Hierarchical Cluster Analysis: Sex-Based Differences in Prognosis Following Resection of Hepatocellular Carcinoma.

BACKGROUND: Patients with hepatocellular carcinoma (HCC) may have a heterogeneous presentation, as well as different long-term outcomes following surgical resection. We sought to use machine learning to cluster patients into different prognostic groups based on preoperative characteristics. METHODS: Patients who underwent curative-intent liver resection for HCC between 2000 and 2020 were identified from a large international multi-institutional database. A hierarchical cluster analysis was performed based on preoperative factors to characterize patterns of presentation and define disease-free survival (DFS). RESULTS: Among 966 with HCC, 3 distinct clusters were identified: Cluster 1 (n = 160, 16.5%), Cluster 2 (n = 537, 55.6%) and Cluster 3 (n = 269, 27.8%). Cluster 1 (n = 160, 16.5%) consisted of female patients (n = 160, 100%), low inflammation-based scores, intermediate tumor burden score (TBS) (median: 4.71) and high alpha-fetoprotein (AFP) levels (median 41.3 ng/mL); Cluster 2 consisted of male individuals (n = 537, 100%), mainly with a history of HBV infection (n = 429, 79.9%), low inflammation-based scores, intermediate AFP levels (median 26.0 ng/mL) and lower TBS (median 4.49); Cluster 3 was comprised of older patients (median age 68 years) predominantly male (n = 248, 92.2%) who had low incidence of HBV/HCV infection (7.1% and 8.2%, respectively), intermediate AFP levels (median 16.8 ng/mL), high inflammation-based scores and high TBS (median 6.58). Median DFS worsened incrementally among the three different clusters with Cluster 3 having the lowest DFS (Cluster 1: median not reached; Cluster 2: 34 months, 95% CI 23.0-48.0, Cluster 3: 19 months, 95% CI 15.0-29.0, p < 0.05). CONCLUSION: Cluster analysis classified HCC patients into three distinct prognostic groups. Cluster assignment predicted DFS following resection of HCC with the female cluster having the most favorable prognosis following HCC resection.

Preoperative risk score (PreopScore) to predict overall survival after resection for hepatocellular carcinoma.

BACKGROUND: This study aimed to develop a holistic risk score incorporating preoperative tumor, liver, nutritional, and inflammatory markers to predict overall survival (OS) after hepatectomy for hepatocellular carcinoma (HCC). METHODS: Patients who underwent curative-intent surgery for HCC between 2000 and 2020 were identified using an international multi-institutional database. Preoperative predictors associated with OS were selected and a prognostic risk score model (PreopScore) was developed and validated using cross-validation. RESULTS: A total of 1676 patients were included. On multivariable analysis, preoperative parameters associated with OS included α-feto protein (hazard ratio [HR]1.17, 95%CI 1.03-1.34), neutrophil-to-lymphocyte ratio (HR2.62, 95%CI 1.30-5.30), albumin (HR0.49, 95%CI 0.34-0.70), gamma-glutamyl transpeptidase (HR1.00, 95%CI 1.00-1.00), as well as vascular involvement (HR3.52, 95%CI 2.10-5.89) and tumor burden score (medium, HR3.49, 95%CI 1.62-7.58; high, HR3.21, 95%CI 1.40-7.35) on preoperative imaging. A weighted PreopScore was devised and made available online (https://yutaka-endo.shinyapps.io/PrepoScore_Shiny/). Patients with a PreopScore 0-2, 2-3.5, and >3.5 had incrementally worse 5-year OS of 85.8%, 70.7%, and 52.4%, respectively (p < 0.001). The c-index of the test and validation cohort were 0.75 and 0.71, respectively. The PreopScore outperformed individual parameters and previous HCC staging systems. DISCUSSION: The PreopScore can be used as a better guide to preoperatively identify patients and individualize pre-/post-operative strategies.

Application of hazard functions to investigate recurrence after curative-intent resection for hepatocellular carcinoma.

BACKGROUND: Defining patterns and risk of recurrence can help inform surveillance strategies and patient counselling. We sought to characterize peak hazard rates (pHR) and peak time of recurrence among patients who underwent resection of hepatocellular carcinoma (HCC). METHODS: 1434 patients who underwent curative-intent resection of HCC were identified from a multi-institutional database. Hazard, patterns, and peak rates of recurrence were characterized. RESULTS: The overall hazard of recurrence peaked at 2.4 months (pHR: 0.0384), yet varied markedly. The incidence of recurrence increased with Barcelona Clinic Liver Cancer (BCLC) stage 0 (29%), A (54%), and B (64%). While the hazard function curve for BCLC 0 patients was relatively flat (pHR: <0.0177), BCLC A patients recurred with a peak at 2.4 months (pHR: 0.0365). Patients with BCLC B had a bimodal recurrence with a peak rate at 4.2 months (pHR: 0.0565) and another at 22.8 months. The incidence of recurrence also varied according to AFP level (≤400 ng/mL: 52.6% vs. >400 ng/mL: 36.3%) and Tumor Burden Score (low: 73.7% vs. medium: 50.6% vs. high: 24.2%) (both p < 0.001). CONCLUSION: Recurrence hazard rates for HCC varied substantially relative to both time and intensity/peak rates. TBS and AFP markedly impacted patterns of hazard risk of recurrence.

Modified integrated tumor burden, liver function, systemic inflammation, and tumor biology score to predict long-term outcomes after resection for hepatocellular carcinoma.

BACKGROUND: A preoperative predictive score for hepatocellular carcinoma (HCC) can help stratify patients who undergo resection relative to long-term outcomes and tailor treatment strategies. METHODS: Patients who underwent curative-intent hepatectomy for HCC between 2000 and 2020 were identified from an international multi-institutional database. A risk score (mFIBA) was developed using an Eastern cohort and then validated using a Western cohort. RESULTS: Among 957 patients, 443 and 514 patients were included from the Eastern and Western cohorts, respectively. On multivariable analysis, alpha-feto protein (HR1.97, 95%CI 1.42-2.72), neutrophil-to-lymphocyte ratio (HR1.74, 95%CI 1.28-2.38), albumin-bilirubin grade (HR1.66, 95%CI 1.21-2.28), and imaging tumor burden score (HR1.25, 95%CI 1.12-1.40) were associated with OS. The c-index in the Eastern test and Western validation cohorts were 0.69 and 0.67, respectively. Notably, mFIBA score outperformed previous HCC staging systems. 5-year OS incrementally decreased with an increase in mFIBA. On multivariable Cox regression analysis, the mFIBA score was associated with worse OS (HR1.18, 95%CI 1.13-1.23) and higher risk of recurrence (HR1.16, 95%CI 1.11-1.20). An easy-to-use calculator of the mFIBA score was made available online (https://yutaka-endo.shinyapps.io/mFIBA_score/). DISCUSSION: The online mFIBA calculator may help surgeons with clinical decision-making to individualize perioperative treatment strategies for patients undergoing resection of HCC.