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Research ArticleClinical (Oncology: Liver)

Transarterial Radioembolization Versus Systemic Treatment for Hepatocellular Carcinoma with Macrovascular Invasion: Analysis of the U.S. National Cancer Database

Joseph C. Ahn, Marie Lauzon, Michael Luu, Marc L. Friedman, Kambiz Kosari, Nicholas Nissen, Shelly C. Lu, Lewis R. Roberts, Amit G. Singal and Ju Dong Yang
Journal of Nuclear Medicine December 2021, 62 (12) 1692-1701; DOI: https://doi.org/10.2967/jnumed.121.261954
Joseph C. Ahn
1Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota;
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Marie Lauzon
2Biostatistics and Bioinformatics Research Center, Cedars-Sinai Medical Center, Los Angeles, California;
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Michael Luu
2Biostatistics and Bioinformatics Research Center, Cedars-Sinai Medical Center, Los Angeles, California;
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Marc L. Friedman
3Division of Interventional Radiology, Cedars-Sinai Medical Center, Los Angeles, California;
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Kambiz Kosari
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Nicholas Nissen
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Shelly C. Lu
4Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California;
7Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, California;
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Lewis R. Roberts
1Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota;
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Amit G. Singal
8Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas Texas; and
9Division of Digestive and Liver Diseases, UT Southwestern Medical Center, Dallas Texas
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Ju Dong Yang
4Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California;
5Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, California;
7Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, California;
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  • FIGURE 1.
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    FIGURE 1.

    Proportion of patients who received TARE vs. systemic treatment for HCC with MVI between 2010 and 2017.

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    FIGURE 2.

    OS estimates of patients treated with TARE vs. systemic treatment before propensity score matching and after propensity score matching (B).

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    FIGURE 3.

    Comparison of survival in various subgroup of patients treated with TARE vs. systemic treatment. HSD = high school degree.

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    TABLE 1

    Clinical Features of Patients Before and After Propensity Score Matching, Part 1

    Before propensity score matchingAfter propensity score matching
    CharacteristicAll (n = 5,369)Systemic (n = 3,915)TARE (n = 1,454)PAll (n = 1,136)Systemic (n = 568)TARE (n = 568)P
    Demographics
     Age (y)63.0 ± 9.7362.6 ± 9.8464.2 ± 9.33<0.00163.9 ± 9.1363.7 ± 9.4964.1 ± 8.750.420
     Sex0.7200.880
      Male4,331 (80.7%)3,153 (80.5%)1,178 (81.0%)917 (80.7%)460 (81.0%)457 (80.5%)
      Female1,038 (19.3%)762 (19.5%)276 (19.0%)219 (19.3%)108 (19.0%)111 (19.5%)
     Race<0.0010.587
      White3,347 (64.0%)2,356 (61.8%)991 (70.0%)781 (68.8%)385 (67.8%)396 (69.7%)
      Hispanic536 (10.2%)426 (11.2%)110 (7.77%)87 (7.66%)47 (8.27%)40 (7.04%)
      Black851 (16.3%)660 (17.3%)191 (13.5%)168 (14.8%)81 (14.3%)87 (15.3%)
      Asian + others496 (9.48%)373 (9.78%)123 (8.69%)100 (8.80%)55 (9.68%)45 (7.92%)
    Socioeconomic factors
     Insurance status<0.0010.933
      Uninsured285 (5.42%)247 (6.46%)38 (2.65%)39 (3.43%)21 (3.70%)18 (3.17%)
      Private1,815 (34.5%)1,319 (34.5%)496 (34.5%)392 (34.5%)197 (34.7%)195 (34.3%)
      Medicaid/Medicare3,072 (58.4%)2,209 (57.8%)863 (60.1%)683 (60.1%)340 (59.9%)343 (60.4%)
      Other88 (1.67%)49 (1.28%)39 (2.72%)22 (1.94%)10 (1.76%)12 (2.11%)
     Median income0.0250.716
      <$40,2271,168 (23.7%)882 (24.5%)286 (21.6%)246 (21.7%)125 (22.0%)121 (21.3%)
      $40,227–$50,3531,103 (22.4%)825 (22.9%)278 (21.0%)268 (23.6%)135 (23.8%)133 (23.4%)
      $50,354–$63,3321,113 (22.6%)790 (21.9%)323 (24.4%)279 (24.6%)145 (25.5%)134 (23.6%)
      $63,333+1,540 (31.3%)1,103 (30.6%)437 (33.0%)343 (30.2%)163 (28.7%)180 (31.7%)
     Without high school diploma0.0030.099
      ≥17.6%1,345 (27.3%)1,023 (28.4%)322 (24.3%)269 (23.7%)152 (26.8%)117 (20.6%)
      10.9%–17.5%1,360 (27.6%)1,007 (27.9%)353 (26.6%)310 (27.3%)152 (26.8%)158 (27.8%)
      6.3%–10.8%1,305 (26.5%)934 (25.9%)371 (28.0%)338 (29.8%)162 (28.5%)176 (31.0%)
      <6.3%922 (18.7%)641 (17.8%)281 (21.2%)219 (19.3%)102 (18.0%)117 (20.6%)
     Urban/rural0.3730.885
      Metro4,554 (87.1%)3,338 (87.5%)1,216 (86.1%)974 (85.7%)489 (86.1%)485 (85.4%)
      Urban600 (11.5%)424 (11.1%)176 (12.5%)142 (12.5%)70 (12.3%)72 (12.7%)
      Rural73 (1.40%)52 (1.36%)21 (1.49%)20 (1.76%)9 (1.58%)11 (1.94%)
    • * Available in only 24% of patients.

    • Data are number followed by percentage in parentheses, except for MELD and tumor size (median followed by interquartile range) and age (mean ± SD).

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    TABLE 2

    Factors Predicting TARE Treatment Among Patients with T3BN0M0 HCC

    CharacteristicUnivariateMultivariate
    HRPHRP
    Age (10-y change)1.194 (1.122–1.272)<0.0011.174 (1.091–1.267)<0.001
    Sex, male (reference)(reference)(reference)
    Sex, female0.969 (0.831–1.129)0.6910.957 (0.802–1.122)0.607
    Race, white (reference)(reference)(reference)
    Race, Hispanic0.615 (0.496–0.768)<0.0010.685 (0.536–0.883)0.003
    Black0.688 (0.576–0.817)<0.0010.829 (0.675–1.013)0.070
    Race, Asian + others0.796 (0.664–1.013)0.0340.735 (0.604–0.973)0.012
    Uninsured (reference)(reference)(reference)
    Private insurance2.362 (1.648–3.318)<0.0012.038 (1.376–2.950)<0.001
    Medicaid/Medicare insurance2.470 (1.736–3.452)<0.0011.889 (1.276–2.716)<0.001
    Other insurance5.004 (2.913–8.547)<0.0013.225 (1.730–5.869)<0.001
    Median income, <$40,227 (reference)(reference)(reference)
    Median income, $40,227–$50,3531.039 (0.850–1.221)0.6800.943 (0.742–1.144)0.599
    Median income, $50,354–$63,3321.252 (1.061–1.511)0.0131.095 (0.889–1.394)0.430
    Median income, $63,333+1.202 (1.025–1.429)0.0300.980 (0.761–1.258)0.872
    Without high school diploma, ≥17.6% (reference)(reference)(reference)
    Without high school diploma, 10.9%–17.5%1.100 (0.949–1.323)0.2620.976 (0.808–1.203)0.811
    Without high school diploma, 6.3%–10.8%1.246 (1.057–1.471)0.0091.024 (0.815–1.264)0.829
    Without high school diploma, <6.3%1.377 (1.151–1.652)<0.0011.181 (0.896–1.511)0.212
    Metro (reference)(reference)(reference)
    Urban1.125 (0.941–1.363)0.2121.161 (0.939–1.444)0.174
    Rural1.085 (0.626–1.740)0.7531.134 (0.608–1.901)0.663
    Facility, academic (reference)(reference)(reference)
    Facility, community cancer program0.346 (0.231–0.534)<0.0010.424 (0.274–0.676)<0.001
    Facility, comprehensive community cancer program0.762 (0.656–0.892)<0.0010.729 (0.612–0.864)<0.001
    Facility, integrated network1.003 (0.826–1.196)0.9731.034 (0.845–1.274)0.747
    Region, Northeast (reference)(reference)(reference)
    Region, Midwest1.651 (1.390–2.017)<0.0011.640 (1.364–2.076)<0.001
    Region, South1.110 (0.951–1.333)0.2251.268 (1.068–1.562)0.014
    Region, West1.556 (1.287–1.906)<0.0011.740 (1.418–2.198)<0.001
    Charlson index, 0 or 1 (reference)(reference)(reference)
    Charlson index, 21.087 (0.870–1.352)0.4571.117 (0.873–1.416)0.371
    Charlson index, 30.787 (0.662–0.934)0.0060.821 (0.676–0.984)0.039
    AFP, normal (reference)(reference)(reference)
    AFP, elevated0.992 (0.841–1.182)0.9281.123 (0.947–1.373)0.223
    MELD (10-unit change)0.736 (0.660–0.785)<0.0010.756 (0.663–0.801)<0.001
    Tumor size0.993 (0.983–1.002)0.1360.992 (0.982–1.001)0.101
    • Data in parentheses are 95% CIs.

    • View popup
    TABLE 3

    Factors Associated with OS Among Patients with T3BN0M0 HCC

    CharacteristicUnivariateMultivariate
    HRPHRP
    Age (10-y change)1.022 (0.990–1.056)0.1841.035 (0.998–1.072)0.063
    Sex, male (reference)(reference)(reference)
    Sex, female0.925 (0.852–1.003)0.0600.912 (0.840–0.990)0.029
    Race, white (reference)(reference)(reference)
    Race, Hispanic0.830 (0.741–0.930)0.0010.850 (0.754–0.959)0.008
    Race, black0.947 (0.865–1.036)0.2320.933 (0.846–1.029)0.164
    Race, Asian + others0.887 (0.791–0.994)0.0400.894 (0.793–1.008)0.066
    Uninsured (reference)(reference)(reference)
    Private insurance0.909 (0.787–1.051)0.1980.920 (0.793–1.067)0.269
    Medicaid/Medicare insurance0.970 (0.843–1.116)0.6720.956 (0.827–1.106)0.547
    Other insurance0.877 (0.659–1.167)0.3680.912 (0.685–1.215)0.530
    Median income, <$40,227 (reference)(reference)(reference)
    Median income, $40,227–$50,3531.024 (0.927–1.131)0.6380.978 (0.878–1.089)0.682
    Median income, $50,354–$63,3320.923 (0.836–1.018)0.1070.884 (0.790–0.989)0.032
    Median income, $63,333+0.991 (0.907–1.083)0.8410.949 (0.839–1.073)0.404
    Without high school degree, ≥17.6% (reference)(reference)(reference)
    Without high school degree, 10.9%–17.5%1.086 (0.993–1.189)0.0721.082 (0.981–1.193)0.114
    Without high school degree, 6.3%–10.8%1.098 (1.005–1.199)0.0381.117 (1.003–1.244)0.044
    Without high school degree, <6.3%1.088 (0.985–1.202)0.0971.131 (0.988–1.294)0.073
    Metro (reference)(reference)(reference)
    Urban1.134 (1.025–1.255)0.0141.106 (0.992–1.233)0.070
    Rural1.276 (0.982–1.657)0.0681.171 (0.892–1.537)0.255
    Facility, academic (reference)(reference)(reference)
    Facility, community cancer program1.552 (1.311–1.838)<0.0011.376 (1.159–1.634)<0.001
    Facility, comprehensive community cancer program1.247 (1.149–1.352)<0.0011.234 (1.135–1.342)<0.001
    Facility, integrated network1.164 (1.055–1.285)0.0031.153 (1.043–1.275)0.005
    Region, Northeast (reference)(reference)(reference)
    Region, Midwest1.179 (1.069–1.301)<0.0011.167 (1.055–1.292)0.003
    Region, South1.013 (0.929–1.105)0.7630.963 (0.879–1.054)0.414
    Region, West1.000 (0.900–1.111)0.9960.987 (0.883–1.102)0.813
    Charlson index 0 or 1 (reference)(reference)(reference)
    Charlson index 20.994 (0.878–1.126)0.9280.979 (0.863–1.109)0.735
    Charlson index 31.082 (0.989–1.184)0.0871.073 (0.979–1.177)0.131
    AFP, normal (reference)(reference)(reference)
    AFP, elevated1.330 (1.202–1.473)<0.0011.356 (1.220–1.506)<0.001
    MELD score (10-unit change)1.134 (1.084–1.186)<0.0011.113 (1.061–1.167)<0.001
    Treatment, systemic (reference)(reference)(reference)
    Treatment, TARE0.745 (0.691–0.803)<0.0010.739 (0.684–0.798)<0.001
    • Data in parentheses are 95% CIs.

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Journal of Nuclear Medicine: 62 (12)
Journal of Nuclear Medicine
Vol. 62, Issue 12
December 1, 2021
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Transarterial Radioembolization Versus Systemic Treatment for Hepatocellular Carcinoma with Macrovascular Invasion: Analysis of the U.S. National Cancer Database
Joseph C. Ahn, Marie Lauzon, Michael Luu, Marc L. Friedman, Kambiz Kosari, Nicholas Nissen, Shelly C. Lu, Lewis R. Roberts, Amit G. Singal, Ju Dong Yang
Journal of Nuclear Medicine Dec 2021, 62 (12) 1692-1701; DOI: 10.2967/jnumed.121.261954

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Transarterial Radioembolization Versus Systemic Treatment for Hepatocellular Carcinoma with Macrovascular Invasion: Analysis of the U.S. National Cancer Database
Joseph C. Ahn, Marie Lauzon, Michael Luu, Marc L. Friedman, Kambiz Kosari, Nicholas Nissen, Shelly C. Lu, Lewis R. Roberts, Amit G. Singal, Ju Dong Yang
Journal of Nuclear Medicine Dec 2021, 62 (12) 1692-1701; DOI: 10.2967/jnumed.121.261954
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Keywords

  • hepatocellular carcinoma
  • macrovascular invasion
  • transarterial radioembolization
  • systemic treatment
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