Kubicka Felix, Tan Qinxuan, Meyer Tom, Nickel Dominik, Weiland Elisabeth, Wagner Moritz, Marticorena Garcia Stephan Rodrigo
Department of Radiology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany.
MR Applications Predevelopment, Siemens Healthcare GmbH, Allee am Roethelheimpark 2, 91052 Erlangen, Germany.
Curr Oncol. 2025 Jan 3;32(1):30. doi: 10.3390/curroncol32010030.
Breath-hold T2-weighted half-Fourier acquisition single-shot turbo spin echo (HASTE) magnetic resonance imaging (MRI) of the upper abdomen with a slice thickness below 5 mm suffers from high image noise and blurring. The purpose of this prospective study was to improve image quality and accelerate imaging acquisition by using single-breath-hold T2-weighted HASTE with deep learning (DL) reconstruction (DL-HASTE) with a 3 mm slice thickness. MRI of the upper abdomen with DL-HASTE was performed in 35 participants (5 healthy volunteers and 30 patients) at 3 Tesla. In a subgroup of five healthy participants, signal-to-noise ratio (SNR) analysis was used after DL reconstruction to identify the smallest possible layer thickness (1, 2, 3, 4, 5 mm). DL-HASTE was acquired with a 3 mm slice thickness (DL-HASTE-3 mm) in 30 patients and compared with 5 mm DL-HASTE (DL-HASTE-5 mm) and with standard HASTE (standard-HASTE-5 mm). Image quality and motion artifacts were assessed quantitatively using Laplacian variance and semi-quantitatively by two radiologists using five-point Likert scales. In the five healthy participants, DL-HASTE-3 mm was identified as the optimal slice (SNR 23.227 ± 3.901). Both DL-HASTE-3 mm and DL-HASTE-5 mm were assigned significantly higher overall image quality scores than standard-HASTE-5 mm (Laplacian variance, both < 0.001; Likert scale, < 0.001). Compared with DL-HASTE-5 mm (1.10 × 10 ± 6.93 × 10), DL-HASTE-3 mm (1.56 × 10 ± 8.69 × 10) provided a significantly higher SNR Laplacian variance ( < 0.001) and sharpness sub-scores for the intestinal tract, adrenal glands, and small anatomic structures (bile ducts, pancreatic ducts, and vessels; < 0.05). Lesion detectability was rated excellent for both DL-HASTE-3 mm and DL-HASTE-5 mm (both: 5 [IQR4-5]) and was assigned higher scores than standard-HASTE-5 mm (4 [IQR4-5]; < 0.001). DL-HASTE reduced the acquisition time by 63-69% compared with standard-HASTE-5 mm ( < 0.001). : DL-HASTE is a robust abdominal MRI technique that improves image quality while at the same time reducing acquisition time compared with the routine clinical HASTE sequence. Using ultra-thin DL-HASTE-3 mm results in an even greater improvement with a similar SNR.
屏气T2加权半傅里叶采集单次激发快速自旋回波(HASTE)磁共振成像(MRI)用于上腹部检查时,若层厚小于5mm,会出现高图像噪声和模糊现象。本前瞻性研究的目的是通过使用层厚为3mm的屏气T2加权HASTE并结合深度学习(DL)重建(DL-HASTE)来提高图像质量并加快成像采集速度。35名参与者(5名健康志愿者和30名患者)在3特斯拉场强下接受了上腹部的DL-HASTE MRI检查。在五名健康参与者的亚组中,DL重建后进行信噪比(SNR)分析,以确定最小可能的层厚(1、2、3、4、5mm)。30名患者采用3mm层厚采集DL-HASTE(DL-HASTE-3mm),并与5mm的DL-HASTE(DL-HASTE-5mm)以及标准HASTE(标准-HASTE-5mm)进行比较。使用拉普拉斯方差定量评估图像质量和运动伪影,并由两名放射科医生使用五点李克特量表进行半定量评估。在五名健康参与者中,DL-HASTE-3mm被确定为最佳层厚(SNR为23.227±3.901)。DL-HASTE-3mm和DL-HASTE-5mm的总体图像质量得分均显著高于标准-HASTE-5mm(拉普拉斯方差,均<0.001;李克特量表,<0.