Erschienen in:
06.04.2021 | Clinical Investigation
Comparing Real World, Personalized, Multidisciplinary Tumor Board Recommendations with BCLC Algorithm: 321-Patient Analysis
verfasst von:
Monica M. Matsumoto, Samdeep Mouli, Priyali Saxena, Ahmed Gabr, Ahsun Riaz, Laura Kulik, Daniel Ganger, Haripriya Maddur, Justin Boike, Steven Flamm, Christopher Moore, Aparna Kalyan, Kush Desai, Bartley Thornburg, Michael Abecassis, Ryan Hickey, Juan Caicedo, Karen Grace, Robert J. Lewandowski, Riad Salem
Erschienen in:
CardioVascular and Interventional Radiology
|
Ausgabe 7/2021
Einloggen, um Zugang zu erhalten
Abstract
Purpose
To evaluate hepatocellular carcinoma (HCC) treatment allocation, deviation from BCLC first-treatment recommendation, and outcomes following multidisciplinary, individualized approach.
Methods
Treatment-naïve HCC discussed at multidisciplinary tumor board (MDT) between 2010 and 2013 were included to allow minimum 5 years of follow-up. MDT first-treatment recommendation (resection, transplant, ablation, transarterial radioembolization (Y90), transarterial chemoembolization, sorafenib, palliation) was documented, as were subsequent treatments. Overall survival (OS) analyses were performed on an intention-to-treat (ITT) basis, stratified by BCLC stage.
Results
Three hundred and twenty-one patients were treated in the 4-year period. Median age was 62 years, predominantly male (73%), hepatitis C (41%), and Y90 initial treatment (52%). There was a 76% rate of BCLC-discordant first-treatment. Median OS was not reached (57% alive at 10 years), 51.0 months, 25.4 months and 13.4 months for BCLC stages A, B, C and D, respectively.
Conclusion
Deviation from BCLC guidelines was very common when individualized, MDT treatment recommendations were made. This approach yielded expected OS in BCLC A, and exceeded general guideline expectations for BCLC B, C and D. These results suggest that while guidelines are helpful, implementing a more personalized approach that incorporates center expertise, patient-specific characteristics, and the known multi-directional treatment allocation process, improves patient outcomes.