Imaging biomarkers on Angio-CT for predicting the efficacy of transarterial chemoembolization in hepatocellular carcinoma.
Quant Imaging Med Surg
; 13(7): 4077-4088, 2023 Jul 01.
Article
em En
| MEDLINE
| ID: mdl-37456312
Background: This study aimed to evaluate whether the lipiodol deposition pattern on intraprocedural Angio-CT could predict tumor treatment response in hepatocellular carcinoma (HCC) patients treated with conventional transarterial chemoembolization (c-TACE). Methods: This retrospective study enrolled intermediated and advanced HCC nodules treated with c-TACE and Angio-CT from June 2021 to June 2022. The therapeutic efficacy was evaluated according to the mRECIST standards. First, Angio-CT was used to determine lipiodol deposition at the end of c-TACE, redefined as complete, partial-complete, and incomplete groups. Second, the mean CT value of lipiodol deposition and its association with therapeutic efficacy were calculated in the complete model. Finally, the relationship between imaging biomarkers and efficacy was evaluated. Results: A total of 45 patients with 72 HCC nodules were enrolled with 28 nodules in the complete group, 31 nodules in the partial-complete group, and 13 nodules in the incomplete group. The complete response (CR) proportion was significantly higher in patients with good lipiodol deposition compared with patients with poor lipiodol deposition (P<0.0001). There was no significantly different CR rate between CT value ≥800 and <800 HU (P=0.119) in the complete group. Meanwhile, the non-CR rate in cases with hepatic vein development was significantly higher than that in cases with no hepatic vein development in the arterial phase (P<0.0001). Conclusions: Complete lipiodol deposition on Angio-CT during c-TACE was a predictive factor for therapeutic response to TACE. For HCC nodules with well-deposited lipiodol, hepatic vein development on Angio-CT in the arterial phase was strongly associated with poor efficacy of TACE.
Texto completo:
1
Coleções:
01-internacional
Temas:
Geral
Base de dados:
MEDLINE
Tipo de estudo:
Guideline
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Quant Imaging Med Surg
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
China