Prediction of Efficacy for Atezolizumab/Bevacizumab in Unresectable Hepatocellular Carcinoma with Hepatobiliary-Phase Gadolinium Ethoxybenzyl-Diethylenetriaminepentaacetic Acid MRI

Author:

Kunichika Hideki1ORCID,Minamiguchi Kiyoyuki1ORCID,Tachiiri Tetsuya1ORCID,Shimizu Kozo2,Taiji Ryosuke1ORCID,Yamada Aya1,Nakano Ryota1,Irizato Mariko1,Yamauchi Satoshi1ORCID,Marugami Aki1,Marugami Nagaaki1,Kishida Hayato3,Nakagawa Hiroyuki3,Takewa Megumi4,Kageyama Ken5,Yamamoto Akira5,Ueshima Eisuke6,Sofue Keitaro6ORCID,Kita Ryuichi7,Kurakami Hiroyuki8ORCID,Tanaka Toshihiro1ORCID

Affiliation:

1. Department of Diagnostic and Interventional Radiology, Nara Medical University, Kashihara 634-8522, Japan

2. Central Division of Radiology, Nara Medical University, Kashihara 634-8522, Japan

3. Department of Radiology, Nara Prefecture General Medical Center, Nara 630-8054, Japan

4. Department of Radiology, Nara Prefecture Seiwa Medical Center, Sango 636-0802, Japan

5. Department of Diagnostic and Interventional Radiology, Osaka Metropolitan University, Osaka 545-0051, Japan

6. Department of Radiology and Center for Endovascular Therapy, Kobe University, Kobe 650-0017, Japan

7. Department of Gastroenterology and Hepatology, Osaka Red Cross Hospital, Osaka 543-8555, Japan

8. Institute for Clinical and Translational Science, Nara Medical University, Kashihara 634-8522, Japan

Abstract

Background: This study aimed to examine whether the coefficient of variation (CV) in the hepatobiliary-phase (HBP) of Gd-EOB-DTPA-MRI could be an independent predictive factor for tumor progression. Methods: Patients who underwent Gd-EOB-DTPA-MRI before Atezolizumab/bevacizumab therapy at six affiliated institutions between 2018 and 2022 were included. CV for each patient was calculated as the mean value for up to five tumors larger than 10 mm, and CV of the whole tumor was calculated using LIFEx software. The tumor response was evaluated within 6–10 weeks. The primary endpoint was to investigate the predictive factors, including CV, related to tumor progression using logistic regression analysis. The secondary endpoints were tumor response rate and progression-free survival (PFS) based on CV. Results: Of the 46 enrolled patients, 13 (28.3%) underwent early progressive disease. Multivariate analysis revealed that a high CV (≥0.22) was an independent predictive factor for tumor progression (p = 0.043). Patients with a high CV had significantly frequent PD than those with a low CV (43.5 vs. 13.0%, p = 0.047). Patients with a high CV tended to have shorter PFS than those with a low CV (3.5 vs. 6.7 months, p = 0.071). Conclusion: Quantitative analysis using CV in the HBP of Gd-EOB-DTPA-MRI may be useful for predicting tumor progression for atezolizumab/bevacizumab therapy.

Publisher

MDPI AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3