Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
Department of Radiology, Seoul National University College of Medicine, 101, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Abdom Radiol (NY). 2023 Nov;48(11):3430-3440. doi: 10.1007/s00261-023-04039-0. Epub 2023 Sep 14.
To investigate the image quality and diagnostic performance of low-contrast-dose liver CT using a deep learning-based iodine contrast-augmenting algorithm (DLICA) for hypovascular hepatic metastases.
This retrospective study included 128 patients who underwent contrast-enhanced dual-energy CT for hepatic metastasis surveillance between July 2019 and June 2022 using a 30% reduced iodine contrast dose in the portal phase. Three image types were reconstructed: 50-keV virtual monoenergetic images (50-keV VMI); linearly blended images simulating 120-kVp images (120-kVp); and post-processed 120-kVp images using DLICA (DLICA 120-kVp). Three reviewers evaluated lesion conspicuity, image contrast, and subjective image noise. We also measured image noise, contrast-to-noise ratios (CNRs), and signal-to-noise ratios (SNRs). The diagnostic performance for hepatic metastases was evaluated using a jackknife alternative free-response receiver operating characteristic method with the consensus of two independent radiologists as the reference standard.
DLICA 120-kVp demonstrated significantly higher CNR of lesions to liver (5.7 ± 3.1 vs. 3.8 ± 2.1 vs. 3.8 ± 2.1) and higher SNR compared with 50-keV VMI and 120-kVp (p < 0.001 for all). DLICA 120-kVp had significantly lower image noise than 50-kVp VMI for all regions (p < 0.001 for all). DLICA 120-kVp also exhibited superior lesion conspicuity (4.0 [3.3-4.3] vs. 3.7 [3.0-4.0] vs. 3.7 [3.0-4.0]), higher image contrast, and lower subjective image noise compared with 50-keV VMI and 120-kVp (p < 0.001 for all). Although there was no significant difference in the figure of merit for lesion diagnosis among the three methods (p = 0.11), DLICA 120-kVp had a significantly higher figure of merit for lesions with a diameter < 20 mm than 50-keV VMI (0.677 vs. 0.648, p = 0.007). On a per-lesion basis, DLICA 120-kVp also demonstrated higher sensitivity than the 50-keV VMI (81.2% vs. 72.9%, p < 0.001). The specificities per lesion were not significantly different among the three algorithms (p = 0.15).
DLICA at 120-kVp provided superior lesion conspicuity and image quality and similar diagnostic performance for hypovascular hepatic metastases compared with 50-keV VMI.
利用基于深度学习的碘对比增强算法(DLICA)研究低对比剂量肝脏 CT 对乏血供肝转移瘤的图像质量和诊断性能。
本回顾性研究纳入了 128 例 2019 年 7 月至 2022 年 6 月期间因肝转移进行增强双能 CT 监测的患者,门静脉期碘对比剂剂量减少 30%。重建了 3 种图像类型:50keV 虚拟单能量图像(50keV VMI);模拟 120kVp 图像的线性混合图像(120kVp);使用 DLICA 处理的后处理 120kVp 图像(DLICA 120kVp)。三位评估者评估了病灶的对比噪声比(CNR)、病灶可见度、图像噪声和主观图像噪声。我们还测量了图像噪声、对比噪声比(CNR)和信噪比(SNR)。使用两位独立放射科医生的共识作为参考标准,采用 jackknife 替代自由响应接受者操作特征方法评估肝转移的诊断性能。
与 50keV VMI 和 120kVp 相比,DLICA 120kVp 显示出更高的病灶至肝脏的 CNR(5.7±3.1 vs. 3.8±2.1 vs. 3.8±2.1)和 SNR(p<0.001 均)。与 50keV VMI 相比,DLICA 120kVp 在所有区域的图像噪声均显著降低(p<0.001 均)。与 50keV VMI 和 120kVp 相比,DLICA 120kVp 还具有更好的病灶可见度(4.0[3.3-4.3] vs. 3.7[3.0-4.0] vs. 3.7[3.0-4.0])、更高的图像对比度和更低的主观图像噪声(p<0.001 均)。尽管三种方法的病变诊断效能指标(图的优点)没有显著差异(p=0.11),但 DLICA 120kVp 在直径<20mm的病灶的图的优点显著高于 50keV VMI(0.677 比 0.648,p=0.007)。基于病变的评估,与 50keV VMI 相比,DLICA 120kVp 的灵敏度更高(81.2% vs. 72.9%,p<0.001)。三种算法的病变特异性没有显著差异(p=0.15)。
与 50keV VMI 相比,120kVp 下的 DLICA 可为乏血供肝转移瘤提供更好的病灶对比度和图像质量,并具有相似的诊断性能。