A Modified Targetoid Feature Emphasizing Thin-Rim APHE to Improve the Diagnostic Performance of LI-RADS for Malignant Hepatic Tumors

IF 4.2 3区 医学 Q2 ONCOLOGY Journal of Hepatocellular Carcinoma Pub Date : 2024-04-26 DOI:10.2147/jhc.s448257
Runqian Huang, Chunling Zheng, Guixiao Xu, Xuanwei Chen, Jingxian Shen, Siyue Mao
{"title":"A Modified Targetoid Feature Emphasizing Thin-Rim APHE to Improve the Diagnostic Performance of LI-RADS for Malignant Hepatic Tumors","authors":"Runqian Huang, Chunling Zheng, Guixiao Xu, Xuanwei Chen, Jingxian Shen, Siyue Mao","doi":"10.2147/jhc.s448257","DOIUrl":null,"url":null,"abstract":"<strong>Objective:</strong> To identify imaging features that help distinguish between HCCs and non-HCC malignancies assigned to LI-RADS M (LR-M) and evaluate the diagnostic performance of a LI-RADS with targetoid criteria using thin-rim arterial phase hyperenhancement (APHE).<br/><strong>Materials and Methods:</strong> This retrospective study included 381 patients (387 observations) at high-risk for HCC who underwent enhanced-MRI before surgery. Three radiologists reviewed images for LI-RADS categorization of hepatic observations. Univariate and multivariate analysis was conducted to determine reliable features to differentiate between HCC and non-HCC malignancies among the LR-M lesions. The thin-rim (&lt; 30%) APHE was defined based on the thickest thickness of rim APHE compared with the tumor radius, and a modified LI-RADS emphasizing thin-rim APHE as a specific feature of LR-M was established. We compared the diagnostic performance of modified LR-M and LI-RADS 5 (LR-5) with the conventional one.<br/><strong>Results:</strong> Thin-rim APHE and targetoid diffusion-weighted imaging (DWI) were found as independent predictive factors of non-HCC malignancies, while enhancing capsule, thick-rim APHE and peripheral washout were noted as independent variables significantly associated with HCC of LR-M (<em>P</em>&lt; 0.05). The noticeable diagnostic performance of thin-rim APHE in distinguishing non-HCC malignancies from HCCs using the ROC curve. Emphasizing thin-rim APHE on targetoid features, the modified LR-M revealed significantly superior specificity and accuracy (89.4% vs 81.1%, <em>P</em>=0.004; and 87.9% vs 82.2%, <em>P</em>=0.027, respectively) while maintaining high sensitivity (82.2% vs 86.0%; <em>P</em>=0.529) compared with the LR-M. Meanwhile, the modified LR-5 achieved greater sensitivity and accuracy (88.6% vs 79.7%, <em>P</em>=0.004; and 85.8% vs 80.1%, <em>P</em>=0.036, respectively) for diagnosing HCC, without compromising specificity (78.3% vs.81.1%; <em>P</em>=0.608) compared with the LR-5.<br/><strong>Conclusion:</strong> Thin-rim APHE may be the specific imaging feature for differentiating non-HCC malignancies from HCCs within LR-M. The modified targetoid criteria emphasizing thin-rim APHE can improve the diagnostic performance of LI-RADS for hepatic malignancies.<br/><br/><strong>Keywords:</strong> hepatic tumors, malignant, targetoid feature, Rim APHE, liver imaging reporting and data system<br/>","PeriodicalId":15906,"journal":{"name":"Journal of Hepatocellular Carcinoma","volume":null,"pages":null},"PeriodicalIF":4.2000,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hepatocellular Carcinoma","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/jhc.s448257","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To identify imaging features that help distinguish between HCCs and non-HCC malignancies assigned to LI-RADS M (LR-M) and evaluate the diagnostic performance of a LI-RADS with targetoid criteria using thin-rim arterial phase hyperenhancement (APHE).
Materials and Methods: This retrospective study included 381 patients (387 observations) at high-risk for HCC who underwent enhanced-MRI before surgery. Three radiologists reviewed images for LI-RADS categorization of hepatic observations. Univariate and multivariate analysis was conducted to determine reliable features to differentiate between HCC and non-HCC malignancies among the LR-M lesions. The thin-rim (< 30%) APHE was defined based on the thickest thickness of rim APHE compared with the tumor radius, and a modified LI-RADS emphasizing thin-rim APHE as a specific feature of LR-M was established. We compared the diagnostic performance of modified LR-M and LI-RADS 5 (LR-5) with the conventional one.
Results: Thin-rim APHE and targetoid diffusion-weighted imaging (DWI) were found as independent predictive factors of non-HCC malignancies, while enhancing capsule, thick-rim APHE and peripheral washout were noted as independent variables significantly associated with HCC of LR-M (P< 0.05). The noticeable diagnostic performance of thin-rim APHE in distinguishing non-HCC malignancies from HCCs using the ROC curve. Emphasizing thin-rim APHE on targetoid features, the modified LR-M revealed significantly superior specificity and accuracy (89.4% vs 81.1%, P=0.004; and 87.9% vs 82.2%, P=0.027, respectively) while maintaining high sensitivity (82.2% vs 86.0%; P=0.529) compared with the LR-M. Meanwhile, the modified LR-5 achieved greater sensitivity and accuracy (88.6% vs 79.7%, P=0.004; and 85.8% vs 80.1%, P=0.036, respectively) for diagnosing HCC, without compromising specificity (78.3% vs.81.1%; P=0.608) compared with the LR-5.
Conclusion: Thin-rim APHE may be the specific imaging feature for differentiating non-HCC malignancies from HCCs within LR-M. The modified targetoid criteria emphasizing thin-rim APHE can improve the diagnostic performance of LI-RADS for hepatic malignancies.

Keywords: hepatic tumors, malignant, targetoid feature, Rim APHE, liver imaging reporting and data system
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种强调薄缘 APHE 的改良 Targetoid 特征可提高 LI-RADS 对恶性肝肿瘤的诊断性能
目的确定有助于区分HCC和被归入LI-RADS M(LR-M)的非HCC恶性肿瘤的成像特征,并评估使用薄缘动脉相增强(APHE)的LI-RADS的诊断性能:这项回顾性研究纳入了 381 例(观察 387 例)HCC 高危患者,他们都在手术前接受了增强型 MRI 检查。三名放射科医生对图像进行了审查,以便对肝脏观察结果进行 LI-RADS 分类。我们进行了单变量和多变量分析,以确定在 LR-M 病变中区分 HCC 和非 HCC 恶性肿瘤的可靠特征。根据APHE边缘与肿瘤半径相比的最厚厚度定义了薄边缘(< 30% )APHE,并建立了强调薄边缘APHE作为LR-M特异特征的改良LI-RADS。我们比较了改良 LR-M 和 LI-RADS 5(LR-5)与传统 LR-M 的诊断性能:结果:发现薄缘 APHE 和靶状弥散加权成像(DWI)是非 HCC 恶性肿瘤的独立预测因素,而增强囊、厚缘 APHE 和外周冲洗是与 LR-M HCC 显著相关的独立变量(P< 0.05)。利用 ROC 曲线,薄缘 APHE 在区分非 HCC 恶性肿瘤和 HCC 方面具有明显的诊断性能。与 LR-M 相比,强调薄层 APHE 靶状特征的改良 LR-M 在保持高灵敏度(82.2% vs 86.0%;P=0.529)的同时,特异性和准确性也明显优于 LR-M(分别为 89.4% vs 81.1%,P=0.004;87.9% vs 82.2%,P=0.027)。同时,与 LR-5 相比,改良 LR-5 诊断 HCC 的灵敏度和准确性更高(分别为 88.6% vs 79.7%,P=0.004;85.8% vs 80.1%,P=0.036),而特异性(78.3% vs 81.1%;P=0.608)却没有降低:薄缘 APHE 可能是 LR-M 鉴别非 HCC 恶性肿瘤和 HCC 的特异性成像特征。关键词:肝脏肿瘤;恶性;类靶组织特征;Rim APHE;肝脏成像报告和数据系统
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.50
自引率
2.40%
发文量
108
审稿时长
16 weeks
期刊最新文献
Hepatic Arterial Infusion Chemotherapy Combined Lenvatinib and PD-1 Inhibitor Showed Improved Survival for Infiltrative Hepatocellular Carcinoma: A Multicenter Cohort Study Effect of Low-Dose Aspirin Use After Thermal Ablation in Patients with Hepatocellular Carcinoma: A Retrospective Study Differences in Prediagnostic Serum Metabolomic and Lipidomic Profiles Between Cirrhosis Patients with and without Incident Hepatocellular Carcinoma TACE Combined with Portal Vein Tumor Thrombus 125I Seed Implantation in the Treatment of HCC with Hepatic Arterioportal Shunts. A Machine Learning Model Based on Counterfactual Theory for Treatment Decision of Hepatocellular Carcinoma Patients.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1