OBJECTIVE:To assess clinical application of applying deep learning image reconstruction (DLIR) algorithm to contrast-enhanced portal venous phase liver computed tomography (CT) for improving image quality and lesions detection rate compared with using adaptive statistical iterative reconstruction (ASIR-V) algorithm under routine dose. METHODS:The raw data from 42 consecutive patients who underwent contrast-enhanced portal venous phase liver CT were reconstructed using three strength levels of DLIRs (low [DL-L]; medium [DL-M]; high [DL-H]) and two levels of ASIR-V (30%[AV-30]; 70%[AV-70]). Objective image parameters, including noise, signal-to-noise (SNR), and the contrast-to-noise ratio (CNR) relative to muscle, as well as subjective parameters, including noise, artifact, hepatic vein-clarity, index lesion-clarity, and overall scores were compared pairwise. For the lesions detection rate, the five reconstructions in patients who underwent subsequent contrast-enhanced magnetic resonance imaging (MRI) examinations were compared. RESULTS:For objective parameters, DL-H exhibited superior image quality of lower noise and higher SNR than AV-30 and AV-70 (all P < 0.05). CNR was not statistically different between AV-70, DL-M, and DL-H (all P > 0.05). In both objective and subjective parameters, only image noise was statistically reduced as the strength of DLIR increased compared with ASIR-V (all P < 0.05). Regarding the lesions detection rate, a total of 45 lesions were detected by MRI examination and all five reconstructions exhibited similar lesion-detection rate (25/45, 55.6%). CONCLUSION:Compared with AV-30 and AV 70, DLIR leads to better image quality with equal lesion detection rate for liver CT imaging under routine dose.

中文翻译：

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新型深度学习图像重建算法对增强肝脏 CT 成像诊断的影响：与自适应统计迭代重建算法的比较

目的：评估应用深度学习图像重建（DLIR）算法在对比增强门静脉期肝脏计算机断层扫描（CT）中与自适应统计迭代重建（ASIR-V）算法相比提高图像质量和病灶检出率的临床应用。在常规剂量下。方法：使用 DLIR 的三个强度级别（低 [DL-L]；中 [DL-M]；高 [DL-H]）和两个级别的 ASIR-V（30%[AV-30]；70%[AV-70]）。客观图像参数，包括噪声、信噪比 (SNR) 和相对于肌肉的对比度噪声比 (CNR)，以及主观参数，包括噪声、伪影、肝静脉清晰度、指标病变明晰，和总分成对比较。对于病变检出率，比较了接受后续对比增强磁共振成像（MRI）检查的患者的五次重建。结果：对于客观参数，DL-H比AV-30和AV-70表现出更好的图像质量，噪声更低，信噪比更高（均P < 0.05）。CNR 在 AV-70、DL-M 和 DL-H 之间无统计学差异（均 P > 0.05）。在客观和主观参数中，与 ASIR-V 相比，随着 DLIR 强度的增加，只有图像噪声在统计学上有所降低（均 P < 0.05）。关于病灶检出率，MRI检查共检出45个病灶，所有5个重建的病灶检出率相似（25/45，55.6%）。结论：与 AV-30 和 AV 70 相比，