分享:
分享到微信朋友圈
X
技术研究
三种不同扩散成像序列在急性脑梗死检查中的用时及图像质量对比研究
李霆 卢远源 李传 赖茵圻 冯汝静 梁秀群 孙振萌 黄炎 邓德茂

Cite this article as: LI T, LU Y Y, LI C, et al. A comparative study on acquisition time and image quality of three different diffusion imaging sequences in the examination of acute cerebral infarction[J]. Chin J Magn Reson Imaging, 2026, 17(4): 88-94.本文引用格式:李霆, 卢远源, 李传, 等. 三种不同扩散成像序列在急性脑梗死检查中的用时及图像质量对比研究[J]. 磁共振成像, 2026, 17(4): 88-94. DOI:10.12015/issn.1674-8034.2026.04.012.


[摘要] 目的 比较单次激发扩散加权成像(single-shot diffusion-weighted imaging, SS-DWI)、分段读出高清扩散加权成像(readout segmentation of long variable echo-trains diffusion-weighted imaging, Resolve-DWI)和同时多层采集联合分段读出高清扩散加权成像(Resolve-DWI with simultaneous multi-slice, SMS-Resolve-DWI)序列在急性脑梗死MRI检查中的用时及图像质量,旨在为优化临床扫描方案提供证据。材料与方法 选取2023年7月至2024年12月于本院治疗的84例急性脑梗死患者,依次行SS-DWI、Resolve-DWI及SMS-Resolve-DWI扫描,由2名高年资放射科医师采用5分制Likert量表对图像质量进行独立盲法评价。客观指标包括测量信号强度(signal intensity, SI)、表观扩散系数(apparent diffusion coefficient, ADC)、信噪比(signal-to-noise ratio, SNR)、对比度比(contrast ratio, CR)、对比噪声比(contrast-to-noise ratio, CNR)及SNR效率。采用SPSS 26.0软件进行统计分析,计量资料经Shapiro-Wilk检验评估正态性,符合正态分布者以均数±标准差表示,不符合者以中位数(四分位数间距)表示;依据数据分布情况选用单因素方差分析或Kruskal-Wallis H检验进行比较,观察者间一致性通过加权Kappa检验评估。结果 SS-DWI、Resolve-DWI及SMS-Resolve-DWI的扫描时长分别为1 min 57 s、5 min 21 s、3 min 16 s。两名评价者主观评分结果一致性较好至优秀(Kappa值0.630~0.982)。在图像质量主观评分上,SMS-Resolve-DWI与Resolve-DWI均优于SS-DWI(P<0.05),且前二者评分相近(总体评分中位数均为4分)。在客观指标方面,三组序列的ADC测量值差异无统计学意义(P>0.05);与SS-DWI相比,Resolve-DWI与SMS-Resolve-DWI在SI病灶、SI对侧、SNR及CNR上均显著提升(P<0.001),但二者之间差异无统计学意义(P>0.05)。SS-DWI的CR高于SMS-Resolve-DWI(P=0.013)。SS-DWI与SMS-Resolve-DWI的SNR效率均优于Resolve-DWI(P<0.001),二者间差异无统计学意义(P>0.05)。结论 SMS-Resolve-DWI兼具SS-DWI的扫描效率与Resolve-DWI的图像质量,并保持了ADC定量评估的准确性,可作为急性脑梗死MRI检查的推荐方案。
[Abstract] Objective To compare the acquisition time and image quality of three diffusion-weighted imaging (DWI) sequences, including single-shot diffusion-weighted imaging (SS-DWI), readout segmentation of long variable echo-trains diffusion-weighted imaging (Resolve-DWI), and Resolve-DWI with simultaneous multi-slice (SMS-Resolve-DWI), in MRI examinations of acute cerebral infarction, with the aimof providing evidence for optimizing clinical scanning protocols.Materials and Methods Eighty-four patients with acute cerebral infarction treated at our hospital from July 2023 to December 2024 were retrospectively enrolled. Each patient underwent sequential scanning with conventional SS-DWI, Resolve-DWI, and SMS-Resolve-DWI. Two senior radiologists independently and blindly evaluated the image quality using a 5-point Likert scale. Objective metrics included signal intensity (SI), apparent diffusion coefficient (ADC), signal-to-noise ratio (SNR), contrast ratio (CR), contrast-to-noise ratio (CNR), and SNR efficiency. Statistical analysis was performed using SPSS 26.0. The normality of continuous variables was assessed by the Shapiro-Wilk test. Data with normal distributions were expressed as mean ± standard deviation, and those without were represented as median (interquartile range). One-way analysis of variance (ANOVA) or the Kruskal-Wallis H test was used for group comparisons. Interobserver agreement was assessed with weighted Kappa statistics.Results The scan times were 1 min 57 s for SS-DWI, 5 min 21 s for Resolve-DWI, and 3 min 16 s for SMS-Resolve-DWI. Subjective scoring demonstrated good to excellent inter-rater agreement (Kappa values 0.630 to 0.982). In terms of image quality scores, both SMS-Resolve-DWI and Resolve-DWI showed significantly higher scores than SS-DWI (P < 0.05), with no significant difference between the two advanced sequences (median Likert score of both was 4). Regarding objective metrics, there were no significant differences in ADC values among the three sequences (P > 0.05). Compared to SS-DWI, both Resolve-DWI and SMS-Resolve-DWI showed higher SI (in both lesion and contralateral brain tissue), SNR, and CNR (P < 0.001), with no significant difference between the two advanced sequences (P > 0.05). The CR of SS-DWI was higher than that of SMS-Resolve-DWI (P = 0.013). The SNR efficiency of SS-DWI and SMS-Resolve-DWI was superior to that of Resolve-DWI (P < 0.001), with no significant difference between SS-DWI and SMS-Resolve-DWI (P > 0.05).Conclusions SMS-Resolve-DWI combines the scanning efficiency of SS-DWI with the image quality of Resolve-DWI, while maintaining the accuracy of ADC quantification. It can be recommended as the preferred MRI protocol for acute cerebral infarction examination.
[关键词] 急性脑梗死;磁共振成像;扩散加权成像;分段读出;同时多层采集;图像质量
[Keywords] acute cerebral infarction;magnetic resonance imaging;diffusion-weighted imaging;readout segmentation of long variable echo-trains;simultaneous multi-slice;image quality

李霆 1   卢远源 1   李传 1*   赖茵圻 1   冯汝静 1   梁秀群 1   孙振萌 2   黄炎 3   邓德茂 1  

1 广西医学科学院·广西壮族自治区人民医院放射科,南宁 530021

2 西门子数字医疗科技(上海)有限公司广州分公司磁共振客户应用部,广州 510000

3 广西壮族自治区河池市第一人民医院放射科,河池 546300

通信作者:李传,E-mail: 49203437@qq.com

作者贡献声明::李传设计本研究的方案,分析并解释本研究的数据,对稿件的重要内容进行了修改;李霆设计本研究的方案,起草和撰写稿件,获取、分析或解释本研究的数据,获得了广西壮族自治区卫生健康委员会自筹经费科研课题项目的资助;卢远源、赖茵圻、冯汝静、梁秀群、孙振萌、黄炎、邓德茂分析或解释本研究的数据,对稿件的重要内容进行了修改;全体作者都同意发表最后的修改稿,同意对本研究的所有方面负责,确保本研究的准确性和诚信。


基金项目: 广西壮族自治区卫生健康委员会自筹经费科研课题项目 Z-A20230031
收稿日期:2025-10-28
接受日期:2026-03-12
中图分类号:R445.2  R743 
文献标识码:A
DOI: 10.12015/issn.1674-8034.2026.04.012
本文引用格式:李霆, 卢远源, 李传, 等. 三种不同扩散成像序列在急性脑梗死检查中的用时及图像质量对比研究[J]. 磁共振成像, 2026, 17(4): 88-94. DOI:10.12015/issn.1674-8034.2026.04.012.

0 引言

       脑梗死又称缺血性脑卒中,是我国居民死亡和致残的主要原因之一[1, 2],急性脑梗死占我国新发脑卒中病例的约70%,具有起病急、病死率高等特征,一年内病死率可达3.4%~6.0%[3, 4]。因此,精准把握急性缺血性脑卒中时间窗并进行相应溶栓、取栓治疗,对改善患者预后具有重要意义[5, 6]

       脑梗死发作后最初4~6小时,细胞毒性水肿导致组织内水分子的扩散运动受限,其MRI表现为梗死区表观扩散系数(apparent diffusion coefficient, ADC)降低[7]。磁共振扩散加权成像(diffusion weighted imaging, DWI)对上述微观水分子运动改变高度敏感[8],已成为诊断急性脑梗死的关键技术[9, 10, 11]。目前,临床上广泛应用的DWI序列多基于单次激发平面回波成像(single-shot echo-planar imaging, SS-EPI)技术,其成像速度快[12],但采集时间相对较长,易引发图像模糊、磁敏感伪影以及几何变形,尤其在颅底、颞叶、脑桥等解剖复杂区域[13, 14]

       为缓解SS-EPI所致的图像伪影与形变,DWI技术发展出基于读出分段长可变回波链(readout segmentation of long variable echo-trains, RESOLVE)的序列。该技术通过将k空间数据分段采集[15, 16],缩短回波链的长度,从而有效减少磁敏感伪影和图像变形[17]。然而,相较于SS-DWI,Resolve-DWI采集时间明显延长,这限制了其在急危重症患者中的应用。在此背景下,同时多层采集(simultaneous multi-slice, SMS)加速技术的出现,为有效地减少采集时间提供了新方案[18]。多项研究表明,Resolve-DWI序列在鼻咽[19]、乳腺[20]、前列腺[21]、直肠[22]等部位的MRI可明显提高图像质量,而SMS技术亦在多个器官系统中应用于缩短成像时间并取得良好效果[23, 24, 25]。然而,将二者结合的SMS-Resolve-DWI序列应用于急性脑梗死检查尚未见报道。

       因此,本研究采用前瞻性设计,对SS-DWI、Resolve-DWI及SMS-Resolve-DWI三组序列在急性脑梗死检查中的用时、图像质量及ADC测量准确性进行系统性评估,旨在为优化急性脑梗死的临床MRI检查方案、提高诊断效能提供依据。

1 材料与方法

1.1 一般资料

       本研究为前瞻性观察性研究,遵守《赫尔辛基宣言》,经广西壮族自治区人民医院伦理委员会批准(批准文号:KY-ZC-2023-039),所有参与者或其法定监护人均签署了知情同意书。将2023年7月至2024年12月于广西壮族自治区人民医院Siemens 3.0 T Vida MRI进行头颅MRI扫描的全部急性脑梗死患者纳入研究,纳入标准:(1)符合《中国急性缺血性脑卒中诊治指南2018》[26]诊断标准的急性脑梗死患者;(2)无意识异常;(3)无磁共振扫描禁忌证;(4)均行SS-DWI、Resolve-DWI及SMS-Resolve-DWI扫描;(5)临床诊疗资料完整。排除标准:(1)影像图像病灶显示不清者;(2)脑出血、脑肿瘤、颅脑外伤、颅脑术后患者。

1.2 扫描方法

       所有患者均采用Siemens 3.0 T Vida MRI设备,配备20通道头颈联合相控阵线圈。患者体位取仰卧位,头先进,定位中心对眉间连线中心及线圈中心。扫描定位及范围:扫描基线平行于前-后联合连线,扫描范围覆盖枕骨大孔至颅顶。常规序列包括轴位T1WI、T2WI、T2液体衰减反转恢复(fluid attenuated inversion recovery, FLAIR)以及矢状位T2WI,再分别进行SS-DWI、Resolve-DWI及SMS-Resolve-DWI扫描,b值取0、1000 s/mm2。扫描参数详见表1

表1  三组扩散序列参数表
Tab. 1  Parameters of the three diffusion sequences

1.3 图像分析

       主观图像质量评价:由2名具有8年以上神经疾病诊断经验的放射科副主任医师采用5分制Likert 量表独立进行,评估图像伪影、变形程度、病灶清晰度、解剖结构锐利度与总体评价;为保证评分一致性,评分过程采用盲法,具体评定方法见表2

       客观图像质量评价:将SS-DWI、Resolve-DWI和SMS-Resolve-DWI图像传至Siemens syngo.via后处理工作站,由一名具有5年以上神经疾病诊断经验的放射科副主任医师进行测量,分别于三组DWI(b=1000 s/mm2)图像及ADC图像的病灶显示最大层面,手动勾画病灶的感兴趣区(region of interest, ROI),ROI病灶需大于20 mm2,若病灶太小无法测量,则不纳入分析。记录三组图像病灶信号强度(signal intensity, SI病灶)、对侧正常脑组织信号强度(SI对侧)、表观扩散系数(apparent diffusion coefficient, ADC)平均值(ADCmean)、ADC最小值(ADCmin)及ADC最大值(ADCmax)。于三组DWI图像背景的四角分别放置ROI,大小约为50 mm2,分别记录标准差(standard deviation, SD)SD1、SD2、SD3、SD4。所有测量重复三次,取均值。计算背景标准差平均值SD背景;计算信噪比(signal-to-noise ratio, SNR)、对比度比(contrast ratio, CR)、对比噪声比(contrast-to-noise ratio, CNR)、SNR效率[27],公式如下:

表2  DWI图像质量主观评价标准(Likert 5分法)
Tab. 2  Subjective evaluation criteria for DWI image quality (Likert 5-Point Scale)

1.4 统计学分析

       采用SPSS 26.0软件进行统计学分析,对所有计量资料进行Shapiro-Wilk检验,以判断是否符合正态分布。符合正态分布的计量资料以均值±标准差表示,组间比较采用单因素方差分析(ANOVA),事后检验采用Tukey HSD法。不符合正态分布的计量资料以中位数(四分位数间距)表示,组间比较采用Kruskal-Wallis H检验,事后检验采用Dunn's检验。采用加权Kappa检验评估两名医师主观评分的一致性(Kappa<0.20表示一致性较差;0.20≤Kappa<0.40表示一致性一般;0.40≤Kappa<0.60表示中等一致性;0.60≤Kappa<0.80表示一致性较好;0.80≤Kappa≤1.00表示几乎完全一致),所有检验均以P<0.05为差异具有统计学意义。

2 结果

2.1 受检者资料

       本研究共收集头颅MRI检查患者110例,其中因图像严重伪影排除10例,因梗死灶太小无法测量排除9例,因合并出血性转化排除4例,因合并脑肿瘤排除3例,最终纳入84例急性脑梗死患者,其中男60例,女24例,年龄42~81(65.4±11.7)岁,所有患者均进行三种DWI序列的扫描。按急性脑梗死病灶部位分为幕上组与幕下组:幕上梗死61例(72.6%),包括大脑半球皮质21例(25.0%)、放射冠16例(19.0%)、基底节16例(19.0%)、丘脑7例(8.3%)、胼胝体1例(1.2%);幕下23梗死例(27.4%),包括脑干17例(20.2%)、小脑6例(7.1%)。按梗死灶面积分级:小梗死灶(面积≤1 cm2)44例(52.4%)、中梗死灶(1 cm2<面积≤3 cm2)24例(28.6%)、大梗死灶(面积>3 cm2)16例(19.0%)。

2.2 客观评价

2.2.1 三组序列客观评价结果

       三组序列在梗死灶的ADCmean、ADCmin、ADCmax测量值差异均无统计学意义(P>0.05),提示三者在扩散定量参数的测量上具有良好的一致性。

       Resolve-DWI序列SI病灶及SI对侧均显著高于其余两组序列(P<0.001),SMS-Resolve-DWI次之,SS-DWI最低。进一步两两比较显示,Resolve-DWI的SI病灶显著高于另两组序列(P<0.001),而SI对侧显著高于SS-DWI(P<0.001),提示该序列具有较高的信号表现力。

       Resolve-DWI与SMS-Resolve-DWI的SNR与CNR均显著优于SS-DWI(P<0.001),两者之间差异无统计学意义(P>0.05)。

       三组序列间CR差异具有统计学意义(P=0.015),其中SS-DWI的CR显著高于SMS-Resolve-DWI(P=0.013)。

       SS-DWI与SMS-Resolve-DWI的SNR效率均显著优于Resolve-DWI(P<0.001),但两者间差异无统计学意义(P>0.05),具体结果见表3

表3  不同DWI序列图像质量评价指标的组间差异性比较及事后检验结果
Tab. 3  Post-hoc test results and inter-group comparisons of image quality evaluation metrics across different DWI sequences

2.2.2 亚组分析

       双因素方差分析显示:梗死部位(幕上/幕下)对CNR(F=4.313,P=0.039)与SNR(F=9.030, P=0.003)存在显著主效应,提示成像位置会影响部分图像指标表现。梗死大小在各项指标中差异均无统计学意义(P>0.05)。三种序列类型在CR、CNR及SNR方面主效应均显著(P<0.05),说明序列选择是影响图像质量的关键因素。

       同时,序列类型与梗死部位、梗死大小之间均未见显著交互作用(P>0.05),表明不同序列对图像质量指标的影响在不同解剖部位及病灶大小的亚组中均保持一致。具体结果见表4, 表5图1

图1  梗死灶亚组指标与序列类型双因素方差分析事后检验结果。CR:对比度比;CNR:对比噪声比;SNR:信噪比;SS-DWI:单次激发扩散加权成像;Resolve-DWI:分段读出高清扩散加权成像;SMS-Resolve-DWI:同时多层采集联合分段读出高清扩散加权成像。
Fig. 1  Post-hoc test results of two-way ANOVA for subgroup indicators of infarct and sequence type. CR: contrast ratio; CNR: contrast noise ratio; SNR: signal-to-noise ratio; SS-DWI: single-shot diffusion-weighted imaging; Resolve-DWI: readout segmentation of long variable echo-trains diffusion-weighted imaging; SMS-Resolve-DWI: Resolve-DWI with simultaneous multi-slice.
表4  梗死部位与序列类型的CR、SNR、CNR的双因素方差分析结果
Tab. 4  Results of the two-factor ANOVA for infarct location and sequence type on CR, SNR, and CNR
表5  梗死灶大小与序列类型的CR、SNR、CNR的双因素方差分析结果
Tab. 5  Results of the two-factor ANOVA for infarct size and sequence type on CR, SNR, and CNR

2.3 主观评价

       两名医生间的一致性评价结果显示,各项指标的Kappa值范围在0.630~0.982之间,表明两者有较好一致性,评分结果可靠(表6)。SMS-Resolve-DWI和Resolve-DWI在伪影抑制、图像变形控制、病灶清晰度及总体评分方面均显著优于SS-DWI。然而,SMS-Resolve-DWI的解剖结构锐利度中位数评分(3分)略低于其他两组序列(4分),Nemenyi事后两两比较结果显示,三组序列在该指标上的差异无统计学意义(P>0.05)。SMS-Resolve-DWI和Resolve-DWI评分相近,尤其在伪影抑制和病灶清晰度方面表现突出(图2, 图3)。

图2  男,57岁,左侧大脑脚急性脑梗死。1A~1C分别为SS-DWI、Resolve-DWI、SMS-Resolve-DWI的DWI(b=1000 s/mm2)图像,SS-DWI图像整体噪声较大,变形伪影重,病灶边界显示不清(箭),Resolve-DWI和SMS-Resolve-DWI图像变形较轻,病灶显示较清晰,整体图像质量相当;1D~1F分别为SS-DWI、Resolve-DWI、SMS-Resolve-DWI的ADC图像,Resolve-DWI和SMS-Resolve-DWI ADC图像的病灶变形较SS-DWI ADC轻,病灶边界显示更清晰(箭)。SS-DWI:单次激发扩散加权成像;Resolve-DWI:分段读出高清扩散加权成像;SMS-Resolve-DWI:同时多层采集联合分段读出高清扩散加权成像;DWI:扩散加权成像;ADC:表观扩散系数。
Fig. 2  A 57 years old male, with acute cerebral infarction in the left cerebral peduncle. 1A-1C show DWI (b = 1000 s/mm2) acquired using SS-DWI, Resolve-DWI, and SMS-Resolve-DWI, respectively. The SS-DWI image exhibits substantial overall noise and pronounced distortion artifacts, resulting in unclear delineation of the lesion boundary (arrow). In contrast, both Resolve-DWI and SMS-Resolve-DWI demonstrate milder distortion and clearer lesion visualization, with comparable overall image quality. 1D-1F: Corresponding ADC maps derived from SS-DWI, Resolve-DWI, and SMS-Resolve-DWI, respectively. The Resolve-DWI and SMS-Resolve-DWI ADC maps show reduced distortion and improved clarity of the lesion boundary (arrow) compared to the SS-DWI ADC map. SS-DWI: single-shot diffusion-weighted imaging; Resolve-DWI: readout segmentation of long variable echo-trains diffusion-weighted imaging; SMS-Resolve-DWI: Resolve-DWI with simultaneous multi-slice; DWI: diffusion-weighted imaging; ADC: apparent diffusion coefficient.
图3  男,63岁,右侧小脑半球急性脑梗死。1A~1C分别为SS-DWI、Resolve-DWI、SMS-Resolve-DWI的DWI(b=1000 s/mm2)图像,Resolve-DWI和SMS-Resolve-DWI图像的变形程度、伪影、病灶边界(箭)显示相当且均优于SS-DWI;1D~1F分别为SS-DWI、Resolve-DWI、SMS-Resolve-DWI的ADC图像,SS-DWI ADC图像变形较大,病灶边界显示不清,Resolve-DWI和SMS-Resolve-DWI ADC图像质量相当,病灶边界(箭)显示清晰。SS-DWI:单次激发扩散加权成像;Resolve-DWI:分段读出高清扩散加权成像;SMS-Resolve-DWI:同时多层采集联合分段读出高清扩散加权成像;DWI:扩散加权成像;ADC:表观扩散系数。
Fig. 3  A 63 year old male, with acute cerebral infarction in the right cerebellar hemisphere. 1A-1C show DWI (b = 1000 s/mm2) acquired using SS-DWI, Resolve-DWI, and SMS-Resolve-DWI, respectively. Both Resolve-DWI and SMS-Resolve-DWI demonstrate comparable and superior performance to SS-DWI in terms of distortion degree, artifacts, and delineation of the lesion boundary (arrow). 1D-1F: Corresponding ADC maps derived from SS-DWI, Resolve-DWI, and SMS-Resolve-DWI, respectively. The SS-DWI ADC map exhibits significant distortion and unclear lesion margins, whereas both Resolve-DWI and SMS-Resolve-DWI ADC maps show comparable image quality with clearly defined lesion boundaries (arrow). SS-DWI: single-shot diffusion-weighted imaging; Resolve-DWI: readout segmentation of long variable echo-trains diffusion-weighted imaging; SMS-Resolve-DWI: Resolve-DWI with simultaneous multi-slice; DWI: diffusion-weighted imaging; ADC: apparent diffusion coefficient.
表6  两名医生一致性评价结果
Tab. 6  Results of consistency evaluation of two doctors

3 讨论

       本研究采用前瞻性设计,首次提出将SMS-Resolve-DWI应用于急性脑梗死评估,通过主观评价和客观定量指标,系统比较了SS-DWI、Resolve-DWI和SMS-Resolve-DWI三组序列在急性脑梗死中的图像质量及扫描用时差异。结果显示,SMS-Resolve-DWI在图像质量上优于SS-DWI,并显著缩短扫描时间,同时保持了与Resolve-DWI相近的定量性能,弥补了Resolve-DWI扫描时间较长的不足。

3.1 三组DWI序列的主观评价比较

       本研究主观评分中SS-DWI在伪影情况、图像变形、病灶清晰度及总体评分方面较低,说明其在急性脑梗死检查的局限性。相比之下,Resolve-DWI技术采用分段读出的方式,通过减少磁敏感伪影和模糊效应,为疾病诊断提供了重要价值[28]。本研究中,Resolve-DWI在急性脑梗死的主观评分各方面表现优于SS-DWI,与以往研究[29]结果一致。

       SMS加速技术主要分为两部分,一是将多个射频脉冲混合成单个复合射频脉冲[30],一次激发便可以实现数个层面,同时激发的层面由加速因子(acceleration factor, AF)决定,如AF=2时,可同时采集2个层面;二是采用并行采集技术鸡尾酒(controlled aliasing in parallel imaging results in higher acceleration, CAIPIRINHA)解决层面间的混叠伪影,可有效降低图像失真,获得SNR损失较小的图像[31]。本研究中SMS-Resolve-DWI在大部分主观指标上明显优于SS-DWI。该序列通过多层面同时激发与CAIPIRINHA加速技术,可在一次采集内完成多个切面的成像,有效缩短重复时间(repetition time, TR),并降低图像失真。该技术引入一定的层面混叠与并行采集伪影[32],这可能是本研究中SMS-Resolve-DWI的解剖结构锐利度评分略低于其他两种序列的原因,但事后比较显示这些差异无统计学意义,总体评分与Resolve-DWI相当,说明SMS技术图像质量未受到明显影响,具备良好的主观评价表现。

3.2 三组DWI序列的客观评价比较

       客观评价方面,SMS-Resolve-DWI和Resolve-DWI的SNR和CNR均显著高于SS-DWI序列,提示二者在信号强度与对比表现上具备优势。尽管在CR方面SS-DWI略高于SMS-Resolve-DWI,但其背景噪声最大,导致图像SNR和CNR最低。本研究中SMS-Resolve-DWI序列采用AF为2,TR相较于常规Resolve-DWI减少了52%,尽管TR的缩短可能会导致SNR一定程度下降[33, 34],但在本研究中SMS-Resolve-DWI仍保持较高SNR。由于TR缩短约一半,SMS-Resolve-DWI较Resolve-DWI的扫描时长由5 min 21 s减至3 min 16 s,加速达39%。尽管SMS-Resolve-DWI扫描时间略长于SS-DWI(1 min 57 s),但在SNR效率方面二者差异无统计学意义,说明其在提高图像质量的同时,也保持了良好的成像效率。三组DWI序列在梗死灶的ADCmean、ADCmin、ADCmax测量值方面差异均无统计学意义,说明SMS加速技术在提高效率的同时并未影响ADC的测量准确性。

       此外,双因素方差分析显示,DWI序列类型对图像SNR与CNR影响显著,但与梗死位置(幕上/幕下)无交互作用,表明SMS-Resolve-DWI对图像质量的改善在全脑范围内表现稳定。进一步比较显示,在后颅窝区域,该序列有效减少磁敏感伪影的发生,提升急性脑梗死病灶可视性,故在易发生磁敏感伪影的急性脑梗死区域,SMS-Resolve-DWI序列可以替代SS-DWI提供更优质的图像质量。

3.3 局限性

       本研究存在的局限性:首先,本研究为单中心研究,样本量相对较小,未来将进行多中心合作,收集更多研究样本数据进一步验证结论的普适性;其次,本研究仅使用了单一的b值(1000 s/mm2),未来可深入研究不同b值SMS-Resolve-DWI的图像质量表现差异;最后,本研究部分患者纳入标准未参考《中国急性缺血性卒中诊治指南2023》[35],其对于急性缺血性卒中的诊断标准未有明显更改,本研究样本纳入标准与2023版指南核心诊断原则无冲突,未影响最终结果。未来将开展多模态影像诊断检查,对序列间诊断效能做进一步研究。

4 结论

       综上所述,SMS-Resolve-DWI在急性脑梗死检查中,实现了图像质量与扫描效率的有效平衡,并保持ADC值定量准确性,可作为临床MRI检查的优选方案。

[1]
RIGUAL R, FUENTES B, DIEZ-TEJEDOR E, et al. Management of acute ischemic stroke[J]. Med Clin (Barc), 2023, 161(11): 485-492. DOI: 10.1016/j.medcli.2023.06.022.
[2]
王燕停, 于昊. MRI识别和评估急性脑梗死缺血半暗带的研究进展[J]. 磁共振成像, 2023, 14(1): 161-165. DOI: 10.12015/issn.1674-8034.2023.01.030.
WANG Y T, YU H. Research progress of magnetic resonance imaging in the identification and evaluation of ischemic penumbra in acute cerebral infarction[J]. Chin J Magn Reson Imaging, 2023, 14(1): 161-165. DOI: 10.12015/issn.1674-8034.2023.01.030.
[3]
MA Q, LI R, WANG L, et al. Temporal trend and attributable risk factors of stroke burden in China, 1990-2019: an analysis for the Global Burden of Disease Study 2019[J/OL]. Lancet Public Health, 2021, 6(12): e897-e906 [2025-10-20]. https://doi.org/10.1016/S2468-2667(21)00228-0. DOI: 10.1016/S2468-2667(21)00228-0.
[4]
TU W J, WANG L D. Special Writing Group of China Stroke Surveillance Report. China stroke surveillance report 2021[J/OL]. Mil Med Res, 2023, 10(1): 33 [2025-10-20]. https://doi.org/10.1186/s40779-023-00463-x. DOI: 10.1186/s40779-023-00463-x.
[5]
朱宏, 张静, 黄宝生, 等. MRI参数优化对缺血性脑卒中患者溶栓治疗的指导意义[J]. 磁共振成像, 2021, 12(2): 67-69, 78. DOI: 10.12015/issn.1674-8034.2021.02.015.
ZHU H, ZHANG J, HUANG B S, et al. The guiding significance of parameter optimized MRI on thrombolytic therapy in patients with ischemic stroke[J]. Chin J Magn Reson Imaging, 2021, 12(2): 67-69, 78. DOI: 10.12015/issn.1674-8034.2021.02.015.
[6]
SARRAJ A, HASSAN A E, ABRAHAM M G, et al. Trial of Endovascular Thrombectomy for Large Ischemic Strokes[J]. N Engl J Med, 2023, 388(14): 1259-1271. DOI: 10.1056/NEJMoa2214403.
[7]
梁风俊, 杜菊梅, 申艳方, 等. MRI扫描ADC值及PWI对评估脑梗死患者脑组织缺血程度可行性研究[J]. 中国CT和MRI杂志, 2021, 19(7): 12-14. DOI: 10.3969/j.issn.1672-5131.2021.07.004.
LIANG F J, DU J M, SHEN Y F, et al. Feasibility of ADC and PWI in the Evaluation of Degree of Cerebral Ischemia of Patients with Cerebral Infarction in MRI Scan[J]. Chin J CT & MRI, 2021, 19(7): 12-14. DOI: 10.3969/j.issn.1672-5131.2021.07.004
[8]
蒋雪艳, 董江宁. IVIM-DWI及纹理分析评估子宫内膜癌生物学行为的研究进展[J]. 磁共振成像, 2023, 14(5): 191-195. DOI: 10.12015/issn.1674-8034.2023.05.034.
JIANG X Y, DONG J N. Advances in the assessment of biological behaviors of endometrial carcinoma by IVIM-DWI and texture analysis[J]. Chin J Magn Reson Imaging, 2023, 14(5): 191-195. DOI: 10.12015/issn.1674-8034.2023.05.034.
[9]
LIU L, WANG M P, WANG Y Y, et al. Prognostic value of pretreatment diffusion-weighted imaging score for acute basilar artery occlusion with successful endovascular recanalization[J]. Neuroradiology, 2023, 65(3): 619-627. DOI: 10.1007/s00234-022-03090-w.
[10]
TAKEUCHI M, HIGAKI A, KOJIMA Y, et al. Comparative analysis of image quality and diagnostic performance among SS-EPI, MS-EPI, and rFOV DWI in bladder cancer[J]. Jpn J Radiol, 2025, 43(4): 666-675. DOI: 10.1007/s11604-024-01694-1.
[11]
GUI H Y, ZHANG J J, LIAN J X, et al. The value of multimodal MRI in the clinical grading of acute cerebral infarction[J/OL]. Front Neurosci, 2025, 19: 1604551 [2025-10-20]. https://doi.org/10.3389/fnins.2025.1604551. DOI: 10.3389/fnins.2025.1604551.
[12]
KITS A, AL-SAADI J, DELUCA F, et al. 2.5-Minute Fast Brain MRI with Multiple Contrasts in Acute Ischemic Stroke[J]. Neuroradiology, 2024, 66(5): 737-747. DOI: 10.1007/s00234-024-03331-0.
[13]
OTANI S, FUSHIMI Y, OKUCHI S, et al. Comparison of DWI techniques in patients with epidermoid cyst: TGSE-BLADE DWI vs. SS-EPI DWI[J]. Jpn J Radiol, 2025, 43(5): 752-760. DOI: 10.1007/s11604-024-01717-x.
[14]
HE M G, TANG Z H, QIANG J W, et al. Differentiation between sinonasal natural killer/T-cell lymphomas and diffuse large B-cell lymphomas by RESOLVE DWI combined with conventional MRI[J/OL]. Magn Reson Imaging, 2019, 62: 10-17 [2025-10-20]. https://doi.org/10.1016/j.mri.2019.06.011. DOI: 10.1016/j.mri.2019.06.011.
[15]
周蜜, 陈梅泞, 黄红云. 同时多层采集技术在直肠分段读出平面回波成像中的可行性分析[J]. 实用放射学杂志, 2023, 39(7): 1183-1187. DOI: 10.3969/j.issn.1002-1671.2023.07.033.
ZHOU M, CHEN M N, HUANG H Y. Feasibility analysis of simultaneous multi-slice acceleration technique in rectal readout-segmented echo-planar imaging[J]. J Pract Radiol, 2023, 39(7): 1183-1187. DOI: 10.3969/j.issn.1002-1671.2023.07.033.
[16]
ZAMAN S U, RANGANKAR V P, KRISHNARJUN M, et al. Readout-Segmented Echoplanar (RESOLVE) Diffusion-Weighted Imaging on 3T MRI in Detection of Cholesteatoma-Our Experience[J]. Indian J Radiol Imaging, 2024, 34(1): 16-24. DOI: 10.1055/s-0043-1776054.
[17]
CHEN X Y, YANG S S, LIN M G, et al. Multi-b-values-fitting readout-segmentation of long variable echo-trains diffusion-weighted imaging (RESOLVE DWI) in evaluation of disease activity and curative effect of axial spondyloarthritis (axSpA)[J/OL]. Front Immunol, 2023, 14: 1136925 [2025-10-20]. https://doi.org/10.3389/fimmu.2023.1136925. DOI: 10.3389/fimmu.2023.1136925.
[18]
ANDREJ T, JULIA K, UIRIKE A, et al. Simultaneous Multislice Diffusion-Weighted Imaging of the Kidneys at 3 T[J]. Invest Radiol, 2020, 55: 233-238. DOI: 10.1097/RLI.0000000000000637.
[19]
YU J Y, ZHANG D, HUANG X L, et al. Quantitative Analysis of DCE-MRI and RESOLVE-DWI for Differentiating Nasopharyngeal Carcinoma from Nasopharyngeal Lymphoid Hyperplasia[J/OL]. J Med Syst, 2020, 44(4): 75 [2025-10-20]. https://doi.org/10.1007/s10916-020-01549-y. DOI: 10.1007/s10916-020-01549-y.
[20]
张辉, 忻燕芬, 朱勇猛, 等. 同时多层单次激发和分段读出平面回波扩散加权成像诊断乳腺恶性病灶的效能比较[J]. 中华放射学杂志, 2024, 58(3): 279-285. DOI: 10.3760/cma.j.cn112149-20230817-00101.
ZHANG H, XIN Y F, ZHU Y M, et al. The efficacy of simultaneous single shot-echo planar imaging and readout segment of long variable echo trains sequences diffusion-weighted imaging for diagnosis of malignant breast lesions[J]. Chin J Radiol, 2024, 58(3): 279-285. DOI: 10.3760/cma.j.cn112149-20230817-00101.
[21]
MELINA H, KYUNGHYUN S, ELY F, et al. Read-out Segmented Echo Planar Imaging with Two-Dimensional Navigator Correction (RESOLVE): An Alternative Sequence to Improve Image Quality on Diffusion-Weighted Imaging of Prostate[J/OL]. Br J Radiol, 2022, 95(1136): 20211165-20211165 [2025-10-20]. https://doi.org/10.1259/bjr.20211165. DOI: 10.1259/bjr.20211165.
[22]
YANG L, XIA C C, LIU D, et al. The role of readout-segmented echo-planar imaging-based diffusion-weighted imaging in evaluating tumor response of locally advanced rectal cancer after neoadjuvant chemoradiotherapy[J]. Acta Radiol, 2020, 61(9): 1155-1164. DOI: 10.1177/0284185119897354.
[23]
云昊, 霍敏, 胡益祺, 等. 同时多层采集技术在乳腺MR高清扩散峰度成像中的可行性研究[J]. 放射学实践, 2021, 36(1): 60-65. DOI: 10.13609/j.cnki.1000-0313.2021.01.012.
YUN H, HUO M, HU Y Q, et al. Feasibility study of readout-segmented diffuse kurtosis imaging with simultaneous multislice in breast MRI[J]. Radiol Pract, 2021, 36(1): 60-65. DOI: 10.13609/j.cnki.1000-0313.2021.01.012.
[24]
刘美伶, 邓锡佳, 张菁, 等. 宫颈癌MR同时多层采集高清扩散成像图像质量评价[J]. 临床放射学杂志, 2022, 41(4): 729-735. DOI: 10.13437/j.cnki.jcr.2022.04.030.
LIU M L, DENG X J, ZHANG J, et al. Image Quality Assessment of SMS-RESOLVE Diffusion Weighted Imaging in Cervical Cancer[J]. J Clin Radiol, 2022, 41(4): 729-735. DOI: 10.13437/j.cnki.jcr.2022.04.030.
[25]
ZHOU M, PU H, CHEN M N, et al. Feasibility of Simultaneous Multislice Acceleration Technique in Readout-Segmented Echo-Planar Diffusion-Weighted Imaging for Assessing Rectal Cancer[J/OL]. Diagnostics (Basel), 2023, 13(3): 474 [2025-10-20]. https://doi.org/10.3390/diagnostics13030474. DOI: 10.3390/diagnostics13030474.
[26]
中华医学会神经病学分会, 中华医学会神经病学分会脑血管病学组. 中国急性缺血性脑卒中诊治指南2018[J]. 中华神经科杂志, 2018, 9(51): 666-682. DOI: 10.3760/cma.j.issn.1006-7876.2018.09.004.
Chinese Society of Neurology, Cerebrovascular Disease Study Group, Chinese Medical Association. Chinese guidelines for diagnosis and treatment of acute ischemic stroke 2018[J]. Chin J Neurol, 2018, 9(51): 666-682. DOI: 10.3760/cma.j.issn.1006-7876.2018.09.004.
[27]
TACHIKAWA Y, HAMANO H, CHIWATA N, et al. Diffusion weighted imaging combining respiratory triggering and navigator echo tracking in the upper abdomen[J]. Magn Reson Mater Phy, 2024, 37(5): 873-886. DOI: 10.1007/s10334-024-01150-1.
[28]
SEEGER A, SCHULZE M, SCHUETTAUF F, et al. Advanced diffusion-weighted imaging in patients with optic neuritis deficit-value of reduced field of view DWI and readout-segmented DWI[J]. Neuroradiol J, 2018, 31(2): 126-132. DOI: 10.1177/1971400918757711.
[29]
MORELLI J, PORTER D, AI F, et al. Clinical evaluation of single-shot and readout-segmented diffusion-weighted imaging in stroke patients at 3T[J]. Acta Radiol, 2013, 54(3): 299-306. DOI: 10.1258/ar.2012.120541.
[30]
SANDERINK W B G, TEUWEN J, APPELMAN L, et al. Comparison of simultaneous multi-slice single-shot DWI to readout-segmented DWI for evaluation of breast lesions at 3T MRI[J/OL]. Eur J Radiol, 2021, 138: 109626 [2025-10-20]. https://doi.org/10.1016/j.ejrad.2021.109626. DOI: 10.1016/j.ejrad.2021.109626.
[31]
NIU J X, RAN Y C, CHEN R, et al. Evaluation of Middle Cerebral Artery Culprit Plaque Inflammation in Ischemic Stroke Using CAIPIRINHA-Dixon-TWIST Dynamic Contrast-Enhanced Magnetic Resonance Imaging[J]. J Magn Reson Imaging, 2025, 61(4): 2011-2020. DOI: 10.1002/jmri.29576.
[32]
BYEON J, KIM J Y, CHO A H. Readout-segmented echo-planar imaging in diffusion-weighted MR imaging of acute infarction of the brainstem and posterior fossa: comparison of single-shot echo-planar diffusion-weighted sequences[J]. Clin Imaging, 2015, 39(5): 765-769. DOI: 10.1016/j.clinimag.2015.06.001.
[33]
KRUEGER P C, KRAMER M, BENKERT T, et al. Whole-body diffusion magnetic resonance imaging with simultaneous multi-slice excitation in children and adolescents[J]. Pediatr Radiol, 2023, 53(7): 1485-1496. DOI: 10.1007/s00247-023-05622-9.
[34]
VONDEUSTER C, NANZ D. Enhancing fluid signal in driven-equilibrium short-TI inversion-recovery imaging with short TR times: A feasibility study[J]. Magn Reson Med, 2024, 92(6): 2571-2579. DOI: 10.1002/mrm.30215.
[35]
中华医学会神经病学分会, 中华医学会神经病学分会脑血管病学组. 中国急性缺血性卒中诊治指南2023[J]. 中华神经科杂志, 2024, 57(6): 523-559. DOI: 10.3760/cma.j.cn113694-20240410-00221.
Chinese Society of Neurology, Cerebrovascular Disease Study Group, Chinese Medical Association. Chinese guidelines for diagnosis and treatment of acute ischemic stroke 2023[J]. Chin J Neurol, 2024, 57(6): 523-559. DOI: 10.3760/cma.j.cn113694-20240410-00221.

上一篇 基于磁共振成像影像组学的肿瘤内异质性评分模型在卵巢肿瘤恶性风险评估中的应用价值
下一篇 基于BioMatrix系统的呼吸触发与膈肌导航对上腹部T2加权脂肪抑制图像质量及扫描效率的对比研究
  
诚聘英才 | 广告合作 | 免责声明 | 版权声明
联系电话:010-67113815
京ICP备19028836号-2