Deep Learning-Accelerated Non-Contrast Abbreviated Liver MRI for Detecting Malignant Focal Hepatic Lesions: Dual-Center Validation.

IF 5.3 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
So Hyun Park, Moon Hyung Choi, Bohyun Kim, Hyun-Soo Lee, Sungjin Yoon, Young Joon Lee, Dominik Nickel, Thomas Benkert
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引用次数: 0

Abstract

Objective: To compare a deep learning (DL)-accelerated non-enhanced abbreviated MRI (AMRIDL) protocol with standard AMRI (AMRISTD) of the liver in terms of image quality and malignant focal lesion detection.

Materials and methods: This retrospective study included 155 consecutive patients (110 male; mean age 62.4 ± 11 years) from two sites who underwent standard liver MRI and additional AMRIDL sequences, specifically DL-accelerated single-shot fast-spin echo (SSFSEDL) and DL-accelerated diffusion-weighted imaging (DWIDL). Additional MRI phantom experiments assessed signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and apparent diffusion coefficient (ADC) values. Three reviewers evaluated AMRIDL and AMRISTD protocols for image quality using a five-point Likert scale and identified malignant hepatic lesions. Image quality scores and per-lesion sensitivities were compared between AMRIDL and AMRISTD using the Wilcoxon signed-rank test and logistic regression with generalized estimating equations, respectively.

Results: Phantom experiments demonstrated comparable SNR and higher CNR for SSFSEDL compared to SSFSESTD, with similar ADC values for DWIDL and DWISTD. Among the 155 patients, 130 (83.9%) had chronic liver disease or a history of intra- or extrahepatic malignancy. Of 104 malignant focal lesions in 64 patients, 58 (55.8%) were hepatocellular carcinomas (HCCs), 38 (36.5%) were metastases, four (3.8%) were cholangiocarcinomas, and four (3.8%) were lymphomas. The pooled per-lesion sensitivity across three readers was 97.6% for AMRIDL, comparable to 97.6% for AMRISTD. Compared with AMRISTD, AMRIDL demonstrated superior image quality regarding structural sharpness, artifacts, and noise (all P < 0.001) and reduced the average scan time by approximately 50% (2 min 29 sec vs. 4 min 11 sec). In patients with chronic liver disease, AMRIDL achieved a 96.6% per-lesion sensitivity for HCC detection, similar to 96.5% for AMRISTD (P > 0.05).

Conclusion: The AMRIDL protocol offers comparable sensitivity for detecting malignant focal lesions, including HCC while significantly enhancing image quality and reducing scan time by approximately 50% compared to AMRISTD.

深度学习加速非对比缩短肝脏MRI检测恶性局灶性肝脏病变:双中心验证。
目的:比较深度学习(DL)加速非增强缩写MRI (AMRIDL)方案与肝脏标准AMRI (AMRISTD)方案在图像质量和恶性病灶检测方面的差异。材料和方法:本回顾性研究纳入155例连续患者(男性110例;平均年龄62.4±11岁),来自两个部位,接受标准肝脏MRI和额外的AMRIDL序列,特别是dl加速单次快速旋转回波(SSFSEDL)和dl加速弥散加权成像(DWIDL)。另外的MRI幻象实验评估了信噪比(SNR)、对比噪声比(CNR)和表观扩散系数(ADC)值。三位评论者使用五点李克特量表评估了AMRIDL和AMRISTD方案的图像质量,并确定了恶性肝脏病变。分别使用Wilcoxon符号秩检验和广义估计方程的逻辑回归比较AMRIDL和AMRISTD的图像质量评分和每病灶灵敏度。结果:幻影实验表明,与SSFSESTD相比,SSFSEDL具有相当的信噪比和更高的CNR, DWIDL和DWISTD具有相似的ADC值。155例患者中,130例(83.9%)有慢性肝病或肝内或肝外恶性肿瘤病史。64例患者104例局灶性恶性病变中,肝细胞癌58例(55.8%),转移癌38例(36.5%),胆管癌4例(3.8%),淋巴瘤4例(3.8%)。AMRIDL对三个阅读器的每病灶敏感性为97.6%,而AMRISTD为97.6%。与AMRISTD相比,AMRIDL在结构清晰度、伪影和噪声(均P < 0.001)方面表现出更高的图像质量,并将平均扫描时间缩短了约50%(2分29秒比4分11秒)。在慢性肝病患者中,AMRIDL对每个病变的HCC检测灵敏度为96.6%,与AMRISTD的96.5%相似(P < 0.05)。结论:与AMRISTD相比,AMRIDL方案在检测包括HCC在内的恶性局灶性病变方面具有相当的灵敏度,同时显著提高了图像质量,并将扫描时间缩短了约50%。
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
Korean Journal of Radiology
Korean Journal of Radiology 医学-核医学
CiteScore
10.60
自引率
12.50%
发文量
141
审稿时长
1.3 months
期刊介绍: The inaugural issue of the Korean J Radiol came out in March 2000. Our journal aims to produce and propagate knowledge on radiologic imaging and related sciences. A unique feature of the articles published in the Journal will be their reflection of global trends in radiology combined with an East-Asian perspective. Geographic differences in disease prevalence will be reflected in the contents of papers, and this will serve to enrich our body of knowledge. World''s outstanding radiologists from many countries are serving as editorial board of our journal.
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