Machine learning models classifiers enable a strong prediction of radioembolization-induced liver disease, and define a new bilirubin threshold for selection of patients

Sangro B, Salem R, Kennedy A, Coldwell D, Wasan H. Radioembolization for hepatocellular carcinoma: a review of the evidence and treatment recommendations. Am J Clin Oncol. 2011;34:422–31. https://doi.org/10.1097/COC.0b013e3181df0a50.

Article  PubMed  Google Scholar 

Vogel A, Martinelli E, Vogel A, Cervantes A, Chau I, Daniele B, et al. Updated treatment recommendations for hepatocellular carcinoma (HCC) from the ESMO clinical practice guidelines. Ann Oncol. 2021;32:801–5. https://doi.org/10.1016/j.annonc.2021.02.014.

Article  PubMed  CAS  Google Scholar 

Reig M, Sanduzzi-Zamparelli M, Forner A, Rimola J, Ferrer-Fàbrega J, Burrel M, et al. BCLC strategy for prognosis prediction and treatment recommendations: the 2025 update. J Hepatol. 2025. https://doi.org/10.1016/j.jhep.2025.10.020. S0168827825025711.

Article  PubMed  Google Scholar 

Vilgrain V, Pereira H, Assenat E, Guiu B, Ilonca AD, Pageaux G-P, et al. Efficacy and safety of selective internal radiotherapy with yttrium-90 resin microspheres compared with sorafenib in locally advanced and inoperable hepatocellular carcinoma (SARAH): an open-label randomised controlled phase 3 trial. Lancet Oncol. 2017;18:1624–36. https://doi.org/10.1016/S1470-2045(17)30683-6.

Article  PubMed  CAS  Google Scholar 

Ricke J, Klümpen HJ, Amthauer H, Bargellini I, Bartenstein P, de Toni EN, et al. Impact of combined selective internal radiation therapy and sorafenib on survival in advanced hepatocellular carcinoma. J Hepatol. 2019;71:1164–74. https://doi.org/10.1016/j.jhep.2019.08.006.

Article  PubMed  CAS  Google Scholar 

Chow PKH, Gandhi M, Tan S-B, Khin MW, Khasbazar A, Ong J, et al. SIRveNIB: selective internal radiation therapy versus sorafenib in Asia-Pacific patients with hepatocellular carcinoma. J Clin Oncol. 2018;36:1913–21. https://doi.org/10.1200/JCO.2017.76.0892.

Article  PubMed  CAS  Google Scholar 

Garin E, Rolland Y, Campillo-Gimenez B, Edeline J. Negative phase 3 study of (90)Y microspheres versus sorafenib in HCC. Lancet Oncol. 2018;19:e70. https://doi.org/10.1016/S1470-2045(18)30024-X.

Article  PubMed  Google Scholar 

Garin E, Tselikas L, Guiu B, Chalaye J, Rolland Y, de Baere T, et al. Long-term overall survival after selective internal radiation therapy for locally advanced hepatocellular carcinomas: updated analysis of DOSISPHERE-01 trial. J Nucl Med. 2024;65:264–9. https://doi.org/10.2967/jnumed.123.266211.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Garin E, Tselikas L, Guiu B, Chalaye J, Edeline J, De Baere T, et al. Personalised versus standard dosimetry approach of selective internal radiation therapy in patients with locally advanced hepatocellular carcinoma (DOSISPHERE-01): a randomised, multicentre, open-label phase 2 trial. Lancet Gastroenterol Hepatol. 2021;6:17–29. https://doi.org/10.1016/S2468-1253(20)30290-9.

Article  PubMed  Google Scholar 

Gil-Alzugaray B, Chopitea A, Iñarrairaegui M, Bilbao JI, Rodriguez-Fraile M, Rodriguez J, et al. Prognostic factors and prevention of radioembolization-induced liver disease. Hepatology. 2013;57:1078–87. https://doi.org/10.1002/hep.26191.

Article  PubMed  CAS  Google Scholar 

Lescure C, Estrade F, Pedrono M, Campillo-Gimenez B, Le Sourd S, Pracht M, et al. ALBI score is a strong predictor of toxicity following SIRT for hepatocellular carcinoma. Cancers. 2021;13:3794. https://doi.org/10.3390/cancers13153794.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Van Doorn DJ, Hendriks P, Burgmans MC, Rietbergen DDD, Coenraad MJ, Van Delden OM, et al. Liver decompensation as late complication in HCC patients with long-term response following selective internal radiation therapy. Cancers. 2021;13:5427. https://doi.org/10.3390/cancers13215427.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Weber M, Lam M, Chiesa C, Konijnenberg M, Cremonesi M, Flamen P, et al. EANM procedure guideline for the treatment of liver cancer and liver metastases with intra-arterial radioactive compounds. Eur J Nucl Med Mol Imaging. 2022;49:1682–99. https://doi.org/10.1007/s00259-021-05600-z.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Chiesa C, Mira M, Bhoori S, Bormolini G, Maccauro M, Spreafico C, et al. Radioembolization of hepatocarcinoma with 90Y glass microspheres: treatment optimization using the dose-toxicity relationship. Eur J Nucl Med Mol Imaging. 2020;47:3018–32. https://doi.org/10.1007/s00259-020-04845-4.

Article  PubMed  CAS  Google Scholar 

Sangro B, Gil-Alzugaray B, Rodriguez J, Sola I, Martinez-Cuesta A, Viudez A, et al. Liver disease induced by radioembolization of liver tumors: description and possible risk factors. Cancer. 2008;112:1538–46. https://doi.org/10.1002/cncr.23339.

Article  PubMed  Google Scholar 

Gil-Alzugaray B, Chopitea A, Iñarrairaegui M, Bilbao JI, Rodriguez-Fraile M, Rodriguez J, et al. Prognostic factors and prevention of radioembolization-induced liver disease. Hepatology. 2013;57:1078–87.

Article  PubMed  CAS  Google Scholar 

Lencioni R, Llovet JM. Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis. 2010;30:52–60.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Rahman AKM, Shamrat FM, Tasnim Z, Roy J. A comparative study on liver disease prediction using supervised machine learning algorithms. Int J Sci Technol Res. 2019;8:419–22.

Google Scholar 

Kasim S, Amir Rudin PNF, Malek S, Ibrahim KS, Wan Ahmad WA, Fong AYY, et al. Ensemble machine learning for predicting in-hospital mortality in Asian women with ST-elevation myocardial infarction (STEMI). Sci Rep. 2024;14:12378. https://doi.org/10.1038/s41598-024-61151-x.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Blockeel H, Devos L, Frénay B, Nanfack G, Nijssen S. Decision trees: from efficient prediction to responsible AI. Front Artif Intell. 2023;6:1124553. https://doi.org/10.3389/frai.2023.1124553.

Article  PubMed  PubMed Central  Google Scholar 

Doshi-Velez F, Kim B. Towards a rigorous science of interpretable machine learning. arXiv. 2017. https://doi.org/10.48550/ARXIV.1702.08608.

Article  Google Scholar 

Reig M, Forner A, Rimola J, Ferrer-Fàbrega J, Burrel M, Garcia-Criado Á, et al. BCLC strategy for prognosis prediction and treatment recommendation: the 2022 update. J Hepatol. 2022;76:681–93. https://doi.org/10.1016/j.jhep.2021.11.018.

Article  PubMed  Google Scholar 

Prayongrat A, Srimaneekarn N, Thonglert K, Khorprasert C, Amornwichet N, Alisanant P, et al. Correction: machine learning-based normal tissue complication probability model for predicting albumin-bilirubin (ALBI) grade increase in hepatocellular carcinoma patients. Radiat Oncol. 2023;18:53. https://doi.org/10.1186/s13014-023-02212-9.

Article  PubMed  PubMed Central  Google Scholar 

Johnson PJ, Berhane S, Kagebayashi C, Satomura S, Teng M, Reeves HL, et al. Assessment of liver function in patients with hepatocellular carcinoma: a new evidence-based approach-the ALBI grade. J Clin Oncol. 2015;33:550–8. https://doi.org/10.1200/JCO.2014.57.9151.

Article  PubMed  Google Scholar 

Garin E, Palard X, Rolland Y. Personalised dosimetry in radioembolisation for HCC: impact on clinical outcome and on trial design. Cancers. 2020;12:1557. https://doi.org/10.3390/cancers12061557.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Salem R, Padia SA, Lam M, Chiesa C, Haste P, Sangro B, et al. Clinical, dosimetric, and reporting considerations for Y-90 glass microspheres in hepatocellular carcinoma: updated 2022 recommendations from an international multidisciplinary working group. Eur J Nucl Med Mol Imaging. 2023;50:328–43. https://doi.org/10.1007/s00259-022-05956-w.

Article  PubMed  Google Scholar 

Wagstaff WV, Villalobos A, Gichoya J, Kokabi N. Using deep learning to predict treatment response in patients with hepatocellular carcinoma treated with Y90 radiation segmentectomy. J Digit Imaging. 2023;36:1180–8. https://doi.org/10.1007/s10278-022-00762-0.

Article  PubMed  PubMed Central  Google Scholar 

İnce O, Önder H, Gençtürk M, Cebeci H, Golzarian J, Young S. Prediction of response of hepatocellular carcinoma to radioembolization: machine learning using preprocedural clinical factors and MR imaging radiomics. J Vasc Interv Radiol. 2023;34:235–e2433. https://doi.org/10.1016/j.jvir.2022.11.004.

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