Assessment of vascular invasion of pancreatic ductal adenocarcinoma based on CE-boost black blood CT technique.

IF 4.1 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Insights into Imaging Pub Date : 2024-12-05 DOI:10.1186/s13244-024-01870-x

Yue Lin, Tongxi Liu, Yingying Hu, Yinghao Xu, Jian Wang, Sijia Guo, Sheng Xie, Hongliang Sun

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引用次数: 0

Abstract

Objectives: To explore the diagnostic efficacy of advanced intelligent clear-IQ engine (AiCE) and adaptive iterative dose reduction 3D (AIDR 3D), combination with and without the black blood CT technique (BBCT), for detecting vascular invasion in patients diagnosed with nonmetastatic pancreatic ductal adenocarcinoma (PDAC).

Methods: A total of 35 consecutive patients diagnosed with PDAC, proceeding with contrast-enhanced abdominal CT scans, were enrolled in this study. The arterial and portal venous phase images were reconstructed using AiCE and AIDR 3D. The corresponding BBCT images were established as AiCE-BBCT and AIDR 3D-BBCT, respectively. Two observers scored the image quality independently. Cohen's kappa (k) value or intraclass correlation coefficient (ICC) was used to analyze consistency. The diagnostic performance of four algorithms in detecting vascular invasion in PDAC patients was assessed using the area under the curve (AUC).

Results: The AiCE and AiCE-BBCT groups demonstrated superior image noise and diagnostic acceptability compared with AIDR 3D and AIDR 3D-BBCT groups (all p < 0.001), and the k value was 0.861-0.967 for both reviewers. In terms of diagnostic capability for vascular invasion in PDAC, the AiCE-BBCT group exhibited higher specificity (95.0%) and sensitivity (93.3%) compared to the AIDR 3D and AIDR 3D-BBCT groups, with an AUC of 0.942 (95% CI: 0.849-1.000, p < 0.05). Furthermore, all vascular evaluations conducted using AiCE-BBCT demonstrated better consistency (ICC: 0.847-0.935).

Conclusion: The BBCT technique in conjunction with AiCE could lead to notable enhancements in both the image quality of PDAC images and the diagnostic performance for tumor vascular invasion.

Critical relevance statement: Better diagnostic accuracy of vascular invasion of PDAC based on BBCT in combination with an AiCE is a critical factor in determining treatment strategies and patient outcomes.

Key points: Identifying vascular invasion of PDAC is important for prognostication. Combined images provide improved image quality and higher diagnostic accuracy. Combined images can excellently display the vascular wall and invasion.

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基于CE-boost黑血CT技术评价胰腺导管腺癌血管侵犯。

目的：探讨先进智能clear-IQ引擎（AiCE）和自适应迭代剂量减少3D （AIDR 3D）联合或不联合黑血CT技术（BBCT）对非转移性胰腺导管腺癌（PDAC）患者血管侵犯的诊断效果。方法：共有35例连续诊断为PDAC的患者，进行腹部CT增强扫描，纳入本研究。应用AiCE和AIDR 3D重建动脉和门静脉相图像。将相应的BBCT图像分别建立为aiice -BBCT和AIDR 3D-BBCT。两名观察员分别对图像质量进行评分。用Cohen’s kappa (k)值或class内相关系数（ICC）分析一致性。采用曲线下面积（area under The curve， AUC）评估四种算法在PDAC患者血管侵犯检测中的诊断性能。结果：与AIDR 3D和AIDR 3D-BBCT组相比，AiCE和AiCE-BBCT组表现出更好的图像噪声和诊断可接受性（均p）。结论：BBCT技术联合AiCE可显著提高PDAC图像质量和肿瘤血管侵犯的诊断性能。关键相关性声明：基于BBCT联合AiCE对PDAC血管侵犯的更好诊断准确性是决定治疗策略和患者预后的关键因素。重点：确定PDAC的血管侵犯对预后很重要。组合图像提供改进的图像质量和更高的诊断准确性。合并图像能很好地显示血管壁和浸润情况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Insights into Imaging Medicine-Radiology, Nuclear Medicine and Imaging

CiteScore

7.30

自引率

4.30%

发文量

182

审稿时长

13 weeks

期刊介绍： Insights into Imaging (I³) is a peer-reviewed open access journal published under the brand SpringerOpen. All content published in the journal is freely available online to anyone, anywhere! I³ continuously updates scientific knowledge and progress in best-practice standards in radiology through the publication of original articles and state-of-the-art reviews and opinions, along with recommendations and statements from the leading radiological societies in Europe. Founded by the European Society of Radiology (ESR), I³ creates a platform for educational material, guidelines and recommendations, and a forum for topics of controversy. A balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes I³ an indispensable source for current information in this field. I³ is owned by the ESR, however authors retain copyright to their article according to the Creative Commons Attribution License (see Copyright and License Agreement). All articles can be read, redistributed and reused for free, as long as the author of the original work is cited properly. The open access fees (article-processing charges) for this journal are kindly sponsored by ESR for all Members. The journal went open access in 2012, which means that all articles published since then are freely available online.