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自由呼吸肝脏扩散加权成像的深度学习重建:与传统自由呼吸采集的比较

Deep learning reconstruction of free-breathing, diffusion-weighted imaging of the liver: A comparison with conventional free-breathing acquisition.

作者信息

Yoon Jiyoung, Lee Yoonhee, Yoon Sungjin, Sung JaeKon, Benkert Thomas, Lee Jungbok, Park So Hyun

机构信息

Department of Radiology, Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea.

Siemens Healthineers Ltd, Seoul, Rebublic of Korea.

出版信息

PLoS One. 2025 May 30;20(5):e0320362. doi: 10.1371/journal.pone.0320362. eCollection 2025.

Abstract

This study aimed to compare image quality and solid focal liver lesion (FLL) assessments between free-breathing, diffusion-weighted imaging using deep learning reconstruction (FB-DL-DWI) and conventional DWI (FB-C-DWI) in patients undergoing clinically indicated liver MRIs. Our retrospective study included 199 patients who underwent 3 T-liver MRIs with FB-DL-DWI and FB-C-DWI. DWI was performed using a single-shot, spin-echo, echo-planar, fat suppression technique during free-breathing with matching parameters. Three radiologists independently evaluated subjective image quality across two sequences. The apparent diffusion coefficient (ADC) was measured in 15 liver regions. Four radiologists analyzed 138 solid FLLs from 60 patients for the presence of diffusion restriction, lesion conspicuity, and sharpness. Among the 199 patients, 110 (55.3%) had underlying chronic liver disease (CLD). FB-DL-DWI was found to be 43.0% faster than FB-C-DWI (119.4 ± 2.2 sec vs. 209.6 ± 3.7 sec). Furthermore, FB-DL-DWI scored higher than FB-C-DWI for all subjective image quality parameters (all, P < 0.001); however, FB-DL-DWI exhibited greater artificial sensation than FB-C-DWI (P < 0.001). In patients with CLD, FB-DL-DWI exhibited a better subjective image quality (all, P < 0.001) than FB-C-DWI. ADC values ranged from 1.06-1.12 × 10-3 mm2/sec in FB-DL-DWI and 1.06-1.20 × 10-3 mm2/sec in FB-C-DWI. Among the 138 lesions analyzed, 116 malignancies (61 hepatocellular carcinomas, 3 cholangiocarcinomas, 52 metastases) and 22 benignities were included. Four readers identified 88, 93, 93, and 105 diffusion-restricted FLLs in FB-DL-DWI and 84, 80, 98, and 95 in FB-C-DWI. FB-DL-DWI (75.9-90.5%) demonstrated comparable or superior diffusion restriction rates for malignant FLLs compared to FB-C-DWI (68.1-82.8%). Furthermore, FB-DL-DWI presented higher lesion-edge sharpness and lesion-conspicuity compared to FB-C-DWI. Overall, FB-DL-DWI provided better image quality, lesion sharpness, and conspicuity for solid FLLs, with a shorter acquisition time than FB-C-DWI. Therefore, FB-DL-DWI may replace FB-C-DWI as the preferred imaging method for liver evaluations.

摘要

本研究旨在比较在接受临床指征肝脏磁共振成像(MRI)的患者中,自由呼吸状态下使用深度学习重建的扩散加权成像(FB-DL-DWI)与传统扩散加权成像(FB-C-DWI)的图像质量及实性肝脏局灶性病变(FLL)评估情况。我们的回顾性研究纳入了199例行3T肝脏MRI检查且同时接受FB-DL-DWI和FB-C-DWI检查的患者。在自由呼吸状态下,采用单次激发、自旋回波、回波平面、脂肪抑制技术进行扩散加权成像(DWI),并使参数匹配。三名放射科医生独立评估两个序列的主观图像质量。在15个肝脏区域测量表观扩散系数(ADC)。四名放射科医生分析了60例患者的138个实性FLL,以评估扩散受限情况、病变清晰度及锐利度。在这199例患者中,110例(55.3%)患有潜在慢性肝病(CLD)。结果发现,FB-DL-DWI比FB-C-DWI快43.0%(119.4±2.2秒对209.6±3.7秒)。此外,在所有主观图像质量参数方面,FB-DL-DWI的评分均高于FB-C-DWI(均P<0.001);然而,FB-DL-DWI比FB-C-DWI表现出更强的人工伪影感(P<0.001)。在患有CLD的患者中,FB-DL-DWI的主观图像质量优于FB-C-DWI(均P<0.001)。FB-DL-DWI的ADC值范围为1.06 - 1.12×10⁻³mm²/秒,FB-C-DWI的ADC值范围为1.06 - 1.20×10⁻³mm²/秒。在分析的138个病变中,包括116个恶性病变(61个肝细胞癌、3个胆管癌、52个转移瘤)和22个良性病变。四名阅片者在FB-DL-DWI中分别识别出88个、93个、93个和105个扩散受限的FLL,在FB-C-DWI中分别识别出84个、80个、98个和95个。与FB-C-DWI(68.1 - 82.8%)相比,FB-DL-DWI对恶性FLL的扩散受限率相当或更高(75.9 - 90.5%)。此外,与FB-C-DWI相比,FB-DL-DWI的病变边缘更锐利,病变更清晰。总体而言,FB-DL-DWI为实性FLL提供了更好的图像质量、病变锐利度和清晰度,且采集时间比FB-C-DWI短。因此,FB-DL-DWI可能取代FB-C-DWI,成为肝脏评估的首选成像方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43d1/12124547/0cf960750ad8/pone.0320362.g001.jpg

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