• 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

腹部计算机扩散加权成像中的软件间一致性:表观扩散系数与图像质量评估

Inter-software agreement in abdominal computed diffusion-weighted imaging: apparent diffusion coefficient and image quality assessment.

作者信息

Yoshida Tsukasa, Urikura Atsushi, Nakashima Kazuaki, Kawashima Ippei, Endo Masahiro

机构信息

Department of Diagnostic Radiology, Shizuoka Cancer Center, Shizuoka, Japan.

Graduate School of Health Sciences, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan.

出版信息

Abdom Radiol (NY). 2025 Sep 12. doi: 10.1007/s00261-025-05198-y.

DOI:10.1007/s00261-025-05198-y
PMID:40938381
Abstract

PURPOSE

To investigate the agreement in apparent diffusion coefficient (ADC) values and the image quality of abdominal computed diffusion-weighted imaging (cDWI) generated by two software programs.

METHODS

This retrospective study included 154 patients (64 males, 90 females; mean age: 70.1 ± 10.7 years) who underwent abdominal diffusion-weighted imaging (DWI) between November 2023 and October 2024. DWI was acquired with a b = 0 and 1000 s/mm using a 3.0T scanner. cDWIs with b 1500 and 2000 were generated by a scanner console software and a commercially available software program. The ADC and signal-to-noise ratio (SNR) were measured in normal tissues. The contrast-to-noise ratio (CNR) of normal tissues relative to the paraspinal muscle was also measured. Agreement and reliability of ADC value were assessed using Bland-Altman analysis and intraclass correlation coefficients (ICC), respectively. SNR and CNR were compared using paired t-tests.

RESULTS

ADC bias and limits of agreement ranged from - 0.2 to 0.7% and 0.3-2.1%, respectively. ICCs for ADC values ranged within 0.991 and 1.000 (p < 0.05) for all tissues. Significant SNR differences were observed in b1500 (liver, spleen, kidney) and b2000 (liver, bile). Significant CNR differences were noted in b1500 (liver, pancreas, kidney) and b2000 (excluding spleen).

CONCLUSION

There is strong agreement and high reliability in ADC values between the two software programs. Although significant differences in SNR and CNR were observed, their clinical impact appears minimal. These findings indicate that the ADC values and image quality of cDWI are consistent between the two software programs.

摘要

目的

研究两种软件程序生成的腹部计算机扩散加权成像(cDWI)的表观扩散系数(ADC)值及图像质量的一致性。

方法

这项回顾性研究纳入了2023年11月至2024年10月期间接受腹部扩散加权成像(DWI)的154例患者(64例男性,90例女性;平均年龄:70.1±10.7岁)。使用3.0T扫描仪在b = 0和1000 s/mm²条件下采集DWI。由扫描仪控制台软件和一款商用软件程序生成b值为1500和2000的cDWI。在正常组织中测量ADC和信噪比(SNR)。还测量了正常组织相对于椎旁肌的对比噪声比(CNR)。分别使用Bland-Altman分析和组内相关系数(ICC)评估ADC值的一致性和可靠性。使用配对t检验比较SNR和CNR。

结果

ADC偏差和一致性界限分别为-0.2%至0.7%和0.3%至2.1%。所有组织的ADC值的ICC在0.991至1.000范围内(p < 0.05)。在b1500(肝脏、脾脏、肾脏)和b2000(肝脏、胆汁)中观察到显著的SNR差异。在b1500(肝脏、胰腺、肾脏)和b2000(不包括脾脏)中注意到显著的CNR差异。

结论

两种软件程序之间的ADC值具有高度一致性和高可靠性。尽管观察到SNR和CNR存在显著差异,但其临床影响似乎最小。这些发现表明两种软件程序生成的cDWI的ADC值和图像质量是一致的。

相似文献

1
Inter-software agreement in abdominal computed diffusion-weighted imaging: apparent diffusion coefficient and image quality assessment.腹部计算机扩散加权成像中的软件间一致性:表观扩散系数与图像质量评估
Abdom Radiol (NY). 2025 Sep 12. doi: 10.1007/s00261-025-05198-y.
2
Quantifying multi-institutional ADC measurement variability of 1.5 T MR-Linacs: A phantom and in vivo study.量化1.5T磁共振直线加速器的多机构ADC测量变异性:一项模体和体内研究。
Med Phys. 2025 Mar 13. doi: 10.1002/mp.17739.
3
Accelerated Breast Diffusion-weighted Imaging Using Multiband Sensitivity Encoding with the CAIPIRINHA Method: Clinical Experience at 3 T.基于 CAIPIRINHA 方法的多带宽敏感编码加速乳腺弥散加权成像:3T 的临床经验。
Radiol Imaging Cancer. 2022 Jan;4(1):e210063. doi: 10.1148/rycan.210063.
4
Effects of Gadolinium Chelate Administration Timing on T2-weighted and Diffusion-weighted Abdominal MRI Examination: A Prospective Study.钆螯合物给药时机对腹部 T2 加权和弥散加权 MRI 检查的影响:一项前瞻性研究。
Curr Med Imaging. 2024;20(1):e15734056308153. doi: 10.2174/0115734056308153240817160848.
5
Diagnostic Utility of Diffusion-Weighted MRI and Apparent Diffusion Coefficient Values in Differentiating Metastatic From Non-metastatic Lymph Nodes in Cervical Carcinoma.扩散加权磁共振成像及表观扩散系数值在鉴别宫颈癌转移性与非转移性淋巴结中的诊断效用
Cureus. 2025 Jun 4;17(6):e85371. doi: 10.7759/cureus.85371. eCollection 2025 Jun.
6
Readout-segmented echo-planar imaging and conventional single-shot echo-planar imaging for determining cervical cancer image quality, lymphovascular space invasion, and lymph node metastasis status: a comparative study.读出分割回波平面成像与传统单次激发回波平面成像用于确定宫颈癌图像质量、脉管间隙浸润及淋巴结转移状态的比较研究
Diagn Interv Radiol. 2025 Jun 23. doi: 10.4274/dir.2025.253283.
7
Validation of daily 0.35 T diffusion-weighted MRI for MRI-guided glioblastoma radiotherapy.每日 0.35T 弥散加权 MRI 用于 MRI 引导下脑胶质瘤放疗的验证。
Med Phys. 2024 Aug;51(8):5386-5398. doi: 10.1002/mp.17067. Epub 2024 Apr 8.
8
Characterizing Breast Tumor Heterogeneity Through IVIM-DWI Parameters and Signal Decay Analysis.通过体素内不相干运动扩散加权成像(IVIM-DWI)参数和信号衰减分析表征乳腺肿瘤异质性
Diagnostics (Basel). 2025 Jun 12;15(12):1499. doi: 10.3390/diagnostics15121499.
9
Diffusion weighted imaging for improving the diagnostic performance of screening breast MRI: impact of apparent diffusion coefficient quantitation methods and cutoffs.扩散加权成像用于提高乳腺磁共振成像筛查的诊断性能:表观扩散系数定量方法及临界值的影响
Front Oncol. 2024 Dec 20;14:1437506. doi: 10.3389/fonc.2024.1437506. eCollection 2024.
10
Performance of apparent diffusion coefficient values and ratios for the prediction of prostate cancer aggressiveness across different MRI acquisition settings.在不同 MRI 采集设置下,表观扩散系数值和比值对预测前列腺癌侵袭性的性能。
Diagn Interv Radiol. 2022 Jan;28(1):12-20. doi: 10.5152/dir.2022.20732.

本文引用的文献

1
Deep Learning Reconstruction for Enhanced Resolution and Image Quality in Breath-Hold MRCP: A Preliminary Study.屏气磁共振胰胆管造影中用于提高分辨率和图像质量的深度学习重建:一项初步研究。
J Comput Assist Tomogr. 2025;49(3):367-376. doi: 10.1097/RCT.0000000000001680. Epub 2024 Nov 13.
2
Diffusion-weighted Echo Planar Imaging with Compressed SENSE (EPICS-DWI) for Pancreas Assessment: A Multicenter Study.用于胰腺评估的压缩感知扩散加权回波平面成像(EPICS-DWI):一项多中心研究。
Magn Reson Med Sci. 2024 Aug 6. doi: 10.2463/mrms.mp.2024-0046.
3
MRI with DWI improves detection of liver metastasis and selection of surgical candidates with pancreatic cancer: a systematic review and meta-analysis.
磁共振弥散加权成像(MRI-DWI)提高了胰腺癌肝转移的检出率和手术候选者的选择:系统评价和荟萃分析。
Eur Radiol. 2024 Jan;34(1):106-114. doi: 10.1007/s00330-023-10069-5. Epub 2023 Aug 11.
4
Evaluating Biliary Malignancy with Measured and Calculated Ultra-high b-value Diffusion-weighted MR Imaging at 3T.在3T场强下,利用测量和计算的超高b值扩散加权磁共振成像评估胆道恶性肿瘤。
Magn Reson Med Sci. 2024 Oct 1;23(4):428-437. doi: 10.2463/mrms.mp.2022-0144. Epub 2023 May 13.
5
Computed diffusion-weighted magnetic resonance imaging with high b-values in the diagnosis of gallbladder lesions.高 b 值计算扩散加权磁共振成像在胆囊病变诊断中的应用。
Abdom Radiol (NY). 2022 Sep;47(9):3278-3289. doi: 10.1007/s00261-022-03586-2. Epub 2022 Jun 29.
6
Editorial for "Computed DWI Results in Superior Capability for N-Stage Assessment of Non-Small Cell Lung Cancer than that of Actual DWI, STIR Imaging and FDG-PET/CT".《关于“计算机扩散加权成像在非小细胞肺癌N分期评估中比实际扩散加权成像、短TI反转恢复序列成像及氟代脱氧葡萄糖正电子发射断层显像/计算机断层扫描具有更高能力”的社论》
J Magn Reson Imaging. 2023 Jan;57(1):273-274. doi: 10.1002/jmri.28307. Epub 2022 Jun 22.
7
Apparent diffusion coefficient measurement using thin-slice diffusion-weighted magnetic resonance imaging: assessment of measurement errors and repeatability.使用薄切片扩散加权磁共振成像测量表观扩散系数:测量误差和可重复性评估。
Radiol Phys Technol. 2021 Jun;14(2):203-209. doi: 10.1007/s12194-021-00616-4. Epub 2021 Mar 16.
8
Optimal target b-value on computed diffusion-weighted magnetic resonance imaging for visualization of pancreatic ductal adenocarcinoma and focal autoimmune pancreatitis.计算扩散加权磁共振成像中最佳靶 b 值用于胰腺导管腺癌和局灶性自身免疫性胰腺炎的可视化。
Abdom Radiol (NY). 2021 Feb;46(2):636-646. doi: 10.1007/s00261-020-02695-0. Epub 2020 Aug 1.
9
Diffusion-Weighted Imaging in Oncology: An Update.肿瘤学中的扩散加权成像:最新进展
Cancers (Basel). 2020 Jun 8;12(6):1493. doi: 10.3390/cancers12061493.
10
Optimizing b-values for accurate depiction of pancreatic cancer with tumor-associated pancreatitis on computed diffusion-weighted imaging.优化 b 值以准确描绘伴有胰腺炎的胰腺癌在计算机扩散加权成像上的表现。
Clin Imaging. 2020 May;61:20-26. doi: 10.1016/j.clinimag.2020.01.007. Epub 2020 Jan 8.