Using Deep Learning to Predict Treatment Response in Patients with Hepatocellular Carcinoma Treated with Y90 Radiation Segmentectomy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
https://link.springer.com/content/pdf/10.1007/s10278-022-00762-0.pdf
Reference36 articles.
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2. Padia SA, Lewandowski RJ, Johnson GE, et al. Radioembolization of hepatic malignancies: background, quality improvement guidelines, and future directions. J Vasc Interv Radiol. 2017;28(1):1-15. https://doi.org/10.1016/j.jvir.2016.09.024
3. Salem R, Lewandowski RJ, Mulcahy MF, et al. Radioembolization for hepatocellular carcinoma using Yttrium-90 microspheres: a comprehensive report of long-term outcomes. Gastroenterology. 2010;138(1):52-64. https://doi.org/10.1053/j.gastro.2009.09.006
4. Kim SP, Cohalan C, Kopek N, Enger SA. A guide to 90Y radioembolization and its dosimetry. Phys Med. 2019;68:132-145. https://doi.org/10.1016/j.ejmp.2019.09.236
5. Kunnen B, van der Velden S, Bastiaannet R, Lam MGEH, Viergever MA, de Jong HWAM. Radioembolization lung shunt estimation based on a 90 Y pretreatment procedure: A phantom study. Med Phys. 2018;45(10):4744-4753. https://doi.org/10.1002/mp.13168
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