• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

单次激发、FOCUS单次激发、MUSE及FOCUS MUSE扩散加权成像用于肺部病变的比较:一项初步研究

Comparison of single-shot, FOCUS single-shot, MUSE, and FOCUS MUSE diffusion weighted imaging for pulmonary lesions: A pilot study.

作者信息

Li Jie, Xia Yi, Dai JianKun, Sun GuangYuan, Xu MeiLing, Lin XiaoQing, Gu LingLing, Shi Jie, Liu ShiYuan, Fan Li

机构信息

College of Health Sciences and Engineering, University of Shanghai for Science and Technology, No.516 Jungong Road, Shanghai, 200093, China.

Department of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China.

出版信息

Heliyon. 2024 Jul 25;10(15):e35203. doi: 10.1016/j.heliyon.2024.e35203. eCollection 2024 Aug 15.

DOI:10.1016/j.heliyon.2024.e35203
PMID:39170364
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11336438/
Abstract

RATIONALE AND OBJECTIVES

To compare the performance of SS, FOCUS SS, MUSE, and FOCUS MUSE DWI for pulmonary lesions to obtain a better technique for pulmonary DWI imaging.

MATERIALS AND METHODS

44 patients with pulmonary lesions were recruited to perform pulmonary DWI using SS, FOCUS SS, MUSE, and FOCUS MUSE sequences. Then, two radiologists with 12 and 10 years of chest MRI experiences assessed the overall image quality while another two radiologists both with 3 years of experiences evaluated the SNR, DR, and ADC of pulmonary lesions. Using interclass correlation coefficient (ICC) and kappa statistics to assess consistency of readers, Friedman test and Dunn-Bonferroni post hoc were used to calculate the difference between sequences. Mann-Whitney test and ROC curve were used to distinguish malignant from benign lesions.

RESULTS

All the assessed variables of the four sequences presented good to excellent intra-/inter-observer consistency. Compared with SS, FOCUS SS and MUSE, FOCUS MUSE demonstrated better image quality, including significantly higher 5-point Likert scale score (P < 0.001) and smaller DR (P < 0.001). SNR was comparable among SS, FOCUS SS, and FOCUS MUSE (P > 0.05) while MUSE presented with significantly higher SNR over them (P < 0.01). ADC of malignant was significantly smaller than that of benign for all the four sequences (P < 0.05). ROC analysis showed relatively better diagnostic performance of FOCUS MUSE (AUC = 0.820) over SS (AUC = 0.748), FOCUS SS (AUC = 0.778), and MUSE (AUC = 0.729) in distinguishing malignant from benign lesions.

CONCLUSION

FOCUS MUSE possessed sufficient SNR and was better over SS, FOUCS SS, and MUSE for characterizing pulmonary lesions.

摘要

原理与目的

比较单次激发自旋回波(SS)、聚焦单次激发自旋回波(FOCUS SS)、多段采集自旋回波(MUSE)和聚焦多段采集自旋回波(FOCUS MUSE)扩散加权成像(DWI)对肺部病变的成像表现,以获得更好的肺部DWI成像技术。

材料与方法

招募44例肺部病变患者,使用SS、FOCUS SS、MUSE和FOCUS MUSE序列进行肺部DWI检查。然后,由两位分别具有12年和10年胸部MRI经验的放射科医生评估整体图像质量,另外两位均具有3年经验的放射科医生评估肺部病变的信噪比(SNR)、对比噪声比(DR)和表观扩散系数(ADC)。使用组内相关系数(ICC)和kappa统计量评估阅片者的一致性,采用Friedman检验和Dunn-Bonferroni事后检验计算序列之间的差异。采用Mann-Whitney检验和ROC曲线区分良恶性病变。

结果

四个序列的所有评估变量在观察者内/观察者间均表现出良好至优秀的一致性。与SS、FOCUS SS和MUSE相比,FOCUS MUSE显示出更好的图像质量,包括显著更高的5级Likert量表评分(P < 0.001)和更小的DR(P < 0.001)。SS、FOCUS SS和FOCUS MUSE之间的SNR相当(P > 0.05),而MUSE的SNR显著高于它们(P < 0.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110d/11336438/07778ba8a991/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110d/11336438/b60b130156de/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110d/11336438/72b24f5bc75b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110d/11336438/199790d38a45/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110d/11336438/9ae878593663/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110d/11336438/07778ba8a991/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110d/11336438/b60b130156de/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110d/11336438/72b24f5bc75b/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110d/11336438/199790d38a45/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110d/11336438/9ae878593663/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/110d/11336438/07778ba8a991/gr5.jpg

相似文献

1
Comparison of single-shot, FOCUS single-shot, MUSE, and FOCUS MUSE diffusion weighted imaging for pulmonary lesions: A pilot study.单次激发、FOCUS单次激发、MUSE及FOCUS MUSE扩散加权成像用于肺部病变的比较:一项初步研究
Heliyon. 2024 Jul 25;10(15):e35203. doi: 10.1016/j.heliyon.2024.e35203. eCollection 2024 Aug 15.
2
MRI: Evaluating the Application of FOCUS-MUSE Diffusion-Weighted Imaging in the Pancreas in Comparison With FOCUS, MUSE, and Single-Shot DWIs.磁共振成像:比较FOCUS-MUSE扩散加权成像与FOCUS、MUSE及单次激发扩散加权成像在胰腺中的应用
J Magn Reson Imaging. 2023 Apr;57(4):1156-1171. doi: 10.1002/jmri.28382. Epub 2022 Aug 27.
3
Prospective Comparison of FOCUS MUSE and Single-Shot Echo-Planar Imaging for Diffusion-Weighted Imaging in Evaluating Thyroid-Associated Ophthalmopathy.前瞻性比较 FOCUS MUSE 和单次激发回波平面成像在评估甲状腺相关眼病中的扩散加权成像的应用。
Korean J Radiol. 2024 Oct;25(10):913-923. doi: 10.3348/kjr.2024.0177.
4
Multiplexed sensitivity-encoding diffusion-weighted imaging (MUSE) in diffusion-weighted imaging for rectal MRI: a quantitative and qualitative analysis at multiple b-values.多灵敏度编码扩散加权成像(MUSE)在直肠 MRI 中的扩散加权成像:在多个 b 值下的定量和定性分析。
Abdom Radiol (NY). 2023 Feb;48(2):448-457. doi: 10.1007/s00261-022-03710-2. Epub 2022 Oct 28.
5
High-Spatial-Resolution Multishot Multiplexed Sensitivity-encoding Diffusion-weighted Imaging for Improved Quality of Breast Images and Differentiation of Breast Lesions: A Feasibility Study.高空间分辨率多发多通道敏感编码扩散加权成像改善乳腺图像质量和鉴别乳腺病变的可行性研究。
Radiol Imaging Cancer. 2020 May 29;2(3):e190076. doi: 10.1148/rycan.2020190076. eCollection 2020 May.
6
Multiplexed sensitivity-encoding versus single-shot echo-planar imaging: a comparative study for diffusion-weighted imaging of the thyroid lesions.多通道敏感编码与单次激发回波平面成像:甲状腺病变弥散加权成像的对比研究。
Jpn J Radiol. 2024 Mar;42(3):268-275. doi: 10.1007/s11604-023-01500-4. Epub 2023 Oct 11.
7
Improving the image quality of DWI in breast cancer: comparison of multi-shot DWI using multiplexed sensitivity encoding to conventional single-shot echo-planar imaging DWI.提高乳腺癌 DWI 图像质量:多重敏感编码多激发 DWI 与常规单次激发 echo-planar 成像 DWI 的比较。
Br J Radiol. 2021 Mar 1;94(1119):20200427. doi: 10.1259/bjr.20200427. Epub 2020 Sep 9.
8
Evaluation of multiplexed sensitivity encoding diffusion-weighted imaging in detecting uterine lesions: Image quality optimization.评价多重敏感编码扩散加权成像在检测子宫病变中的应用:图像质量优化。
Magn Reson Imaging. 2024 Jul;110:17-22. doi: 10.1016/j.mri.2024.03.003. Epub 2024 Mar 5.
9
Improved Value of Multiplexed Sensitivity Encoding DWI with Reversed Polarity Gradients in Diagnosing Prostate Cancer: A Comparison Study with Single-Shot DWI and MUSE DWI.反转极性梯度多重敏感编码弥散加权成像在前列腺癌诊断中的价值改善:与单次激发弥散加权成像和 MUSE 弥散加权成像的对比研究。
Acad Radiol. 2024 Mar;31(3):909-920. doi: 10.1016/j.acra.2023.08.027. Epub 2023 Sep 29.
10
Multi-shot Diffusion-Weighted MRI With Multiplexed Sensitivity Encoding (MUSE) in the Assessment of Active Inflammation in Crohn's Disease.多重激发弥散加权磁共振成像结合多重敏感编码(MUSE)在评估克罗恩病活动性炎症中的应用。
J Magn Reson Imaging. 2022 Jan;55(1):126-137. doi: 10.1002/jmri.27801. Epub 2021 Jun 25.

引用本文的文献

1
Accuracy, intra-, and inter-radiologist variability of PI-RADS v2.1 scoring for clinically significant prostate cancer detection.PI-RADS v2.1评分在检测临床显著性前列腺癌方面的准确性、放射科医生内部及之间的变异性。
Quant Imaging Med Surg. 2025 Aug 1;15(8):7080-7089. doi: 10.21037/qims-2025-37. Epub 2025 Jul 30.

本文引用的文献

1
Multiparametric MRI for evaluation of pathological response to the neoadjuvant chemo-immunotherapy in resectable non-small-cell lung cancer.多参数 MRI 评估可切除性非小细胞肺癌新辅助化疗免疫治疗的病理反应。
Eur Radiol. 2023 Dec;33(12):9182-9193. doi: 10.1007/s00330-023-09813-8. Epub 2023 Jun 29.
2
Diffusion-weighted Imaging of the Chest: A Primer for Radiologists.胸部扩散加权成像:放射科医师入门。
Radiographics. 2023 Jul;43(7):e220138. doi: 10.1148/rg.220138.
3
Diagnostic accuracy of MRI for evaluating myometrial invasion in endometrial cancer: a comparison of MUSE-DWI, rFOV-DWI, and DCE-MRI.
磁共振成像评估子宫内膜癌肌层浸润的诊断准确性:MUSE-DWI、rFOV-DWI 和 DCE-MRI 的比较。
Radiol Med. 2023 Jun;128(6):629-643. doi: 10.1007/s11547-023-01635-4. Epub 2023 Apr 29.
4
The investigation of reduced field-of-view diffusion-weighted imaging (DWI) in patients with nasopharyngeal carcinoma: comparison with conventional DWI.鼻咽癌小视野弥散加权成像(DWI)的研究:与常规 DWI 的比较。
Acta Radiol. 2023 Jun;64(6):2118-2125. doi: 10.1177/02841851231159389. Epub 2023 Mar 13.
5
State of the Art MR Imaging for Lung Cancer TNM Stage Evaluation.用于肺癌TNM分期评估的磁共振成像技术现状
Cancers (Basel). 2023 Feb 2;15(3):950. doi: 10.3390/cancers15030950.
6
Multiplexed sensitivity-encoding diffusion-weighted imaging (MUSE) in diffusion-weighted imaging for rectal MRI: a quantitative and qualitative analysis at multiple b-values.多灵敏度编码扩散加权成像(MUSE)在直肠 MRI 中的扩散加权成像:在多个 b 值下的定量和定性分析。
Abdom Radiol (NY). 2023 Feb;48(2):448-457. doi: 10.1007/s00261-022-03710-2. Epub 2022 Oct 28.
7
An initial study on the comparison of diagnostic performance of F-FDG PET/MR and F-FDG PET/CT for thoracic staging of non-small cell lung cancer: Focus on pleural invasion.18F-FDG PET/MR与18F-FDG PET/CT在非小细胞肺癌胸部分期诊断效能比较的初步研究:聚焦于胸膜侵犯
Rev Esp Med Nucl Imagen Mol (Engl Ed). 2023 Jan-Feb;42(1):16-23. doi: 10.1016/j.remnie.2021.12.007. Epub 2022 Oct 12.
8
Optimising diffusion-weighted imaging of the thyroid gland using dedicated surface coil.使用专用表面线圈优化甲状腺的扩散加权成像。
Clin Radiol. 2022 Nov;77(11):e791-e798. doi: 10.1016/j.crad.2022.07.011. Epub 2022 Sep 9.
9
The value of whole-lesion histogram analysis based on field‑of‑view optimized and constrained undistorted single shot (FOCUS) DWI for predicting axillary lymph node status in early-stage breast cancer.基于视野优化和约束无扭曲单次激发(FOCUS)DWI 的全病变直方图分析在预测早期乳腺癌腋窝淋巴结状态中的价值。
BMC Med Imaging. 2022 Sep 10;22(1):163. doi: 10.1186/s12880-022-00891-6.
10
MRI: Evaluating the Application of FOCUS-MUSE Diffusion-Weighted Imaging in the Pancreas in Comparison With FOCUS, MUSE, and Single-Shot DWIs.磁共振成像:比较FOCUS-MUSE扩散加权成像与FOCUS、MUSE及单次激发扩散加权成像在胰腺中的应用
J Magn Reson Imaging. 2023 Apr;57(4):1156-1171. doi: 10.1002/jmri.28382. Epub 2022 Aug 27.