Predicting Therapeutic Efficacy of Transarterial Chemoembolization with Drug-Eluting Beads for Hepatocellular Carcinoma Using Contrast-Enhanced Ultrasound
Abstract
:1. Introduction
2. Materials and Methods
2.1. Patient Characteristics
2.2. CEUS Imaging
2.3. CECT Imaging
2.4. DEB-TACE Procedure
2.5. Image Analysis
2.6. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Conflicts of Interest
References
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Characteristics | All (n = 32) |
---|---|
Age (years)(median) | 72 (range 44–89) |
Gender Male/female | 28/4 |
Etiology | |
Alcohol/HBV/HCV/NASH | 14/4/12/2 |
Child-Pugh classification A/B | 23/9 |
Previous treatment y/n | 18/14 |
Tumor number | 39 |
Tumor size(mm) (median) | 21 (range 8–50) |
DC Bead (100–300 μm, mL) (median) | 0.6 (range 0.2–1.5) |
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Shiozawa, K.; Matsui, T.; Murakami, T.; Watanabe, M.; Maetani, I. Predicting Therapeutic Efficacy of Transarterial Chemoembolization with Drug-Eluting Beads for Hepatocellular Carcinoma Using Contrast-Enhanced Ultrasound. Diagnostics 2021, 11, 291. https://doi.org/10.3390/diagnostics11020291
Shiozawa K, Matsui T, Murakami T, Watanabe M, Maetani I. Predicting Therapeutic Efficacy of Transarterial Chemoembolization with Drug-Eluting Beads for Hepatocellular Carcinoma Using Contrast-Enhanced Ultrasound. Diagnostics. 2021; 11(2):291. https://doi.org/10.3390/diagnostics11020291
Chicago/Turabian StyleShiozawa, Kazue, Takashi Matsui, Takahiro Murakami, Manabu Watanabe, and Iruru Maetani. 2021. "Predicting Therapeutic Efficacy of Transarterial Chemoembolization with Drug-Eluting Beads for Hepatocellular Carcinoma Using Contrast-Enhanced Ultrasound" Diagnostics 11, no. 2: 291. https://doi.org/10.3390/diagnostics11020291
APA StyleShiozawa, K., Matsui, T., Murakami, T., Watanabe, M., & Maetani, I. (2021). Predicting Therapeutic Efficacy of Transarterial Chemoembolization with Drug-Eluting Beads for Hepatocellular Carcinoma Using Contrast-Enhanced Ultrasound. Diagnostics, 11(2), 291. https://doi.org/10.3390/diagnostics11020291