• 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

鉴别鼻窦良性与恶性病变:扩散加权磁共振成像的可行性

Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI.

作者信息

El-Gerby Khaled M, El-Anwar Mohammad Waheed

机构信息

Radiodiagnosis Department, Faculty of Medicine, Zagazig University, Zagazig, Egypt.

Department of Otorhinolaryngology Head and Neck Surgery, Faculty of Medicine, Zagazig University, Zagazig, Egypt.

出版信息

Int Arch Otorhinolaryngol. 2017 Oct;21(4):358-365. doi: 10.1055/s-0036-1597323. Epub 2017 Jan 4.

DOI:10.1055/s-0036-1597323
PMID:29018499
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5629089/
Abstract

Appearance of nasal masses on routine CT and MRI are not pathognomonic. We utilized the apparent diffusion coefficient (ADC) value obtained from diffusion weighted image (DWI) to detect the differences in the microstructures of tumor and non-tumor tissues.  The objective of our study was to evaluate the diagnostic role of DWI and ADC values in differentiating between malignant and benign sinonasal lesions and its correlation with histopathological results as the reference standard.  Patients with nasal and / or paranasal mass underwent CT, MRI, and DWI before any surgical intervention. We used diagnostic sinonasal endoscopy and biopsy to confirm the diagnosis after MRI.  When we used ADC value of (1.2 × 10-3 mm2/s) as a cut-off value for differentiating benign from malignant sinonasal lesions, we achieved 90% accuracy, 100% sensitivity, 88.4% specificity, 77.8% positive predictive value, and 100% negative predictive value. At this cut-off, benign lesions show statistically significant higher ADC value than malignant tumors.  DW MRI and ADC value calculation are promising quantitative methods helping to differentiate between malignant and benign sinonasal lesions. Thus, they are effective methods compared with other conventional methods with short imaging time thus it is recommended to be incorporated into routine evaluations.

摘要

常规CT和MRI上鼻肿块的表现并无特异性。我们利用从扩散加权成像(DWI)获得的表观扩散系数(ADC)值来检测肿瘤组织和非肿瘤组织微观结构的差异。

我们研究的目的是评估DWI和ADC值在鉴别鼻窦良恶性病变中的诊断作用,以及其与作为参考标准的组织病理学结果的相关性。

患有鼻和/或鼻窦肿块的患者在任何手术干预前均接受了CT、MRI和DWI检查。我们在MRI检查后使用诊断性鼻内镜检查和活检来确诊。

当我们将(1.2×10-3 mm2/s)的ADC值作为区分鼻窦良恶性病变的临界值时,准确率达到90%,敏感性为100%,特异性为88.4%,阳性预测值为77.8%,阴性预测值为100%。在此临界值下,良性病变的ADC值在统计学上显著高于恶性肿瘤。

DW MRI和ADC值计算是有助于鉴别鼻窦良恶性病变的有前景的定量方法。因此,与其他传统方法相比,它们是有效的方法,成像时间短,因此建议纳入常规评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cc5/5629089/2e75e3920080/10-1055-s-0036-1597323-i0507or-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cc5/5629089/d3e659008d21/10-1055-s-0036-1597323-i0507or-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cc5/5629089/9e17e6079a8a/10-1055-s-0036-1597323-i0507or-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cc5/5629089/6e214875b43c/10-1055-s-0036-1597323-i0507or-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cc5/5629089/2e75e3920080/10-1055-s-0036-1597323-i0507or-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cc5/5629089/d3e659008d21/10-1055-s-0036-1597323-i0507or-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cc5/5629089/9e17e6079a8a/10-1055-s-0036-1597323-i0507or-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cc5/5629089/6e214875b43c/10-1055-s-0036-1597323-i0507or-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cc5/5629089/2e75e3920080/10-1055-s-0036-1597323-i0507or-4.jpg

相似文献

1
Differentiating Benign from Malignant Sinonasal Lesions: Feasibility of Diffusion Weighted MRI.鉴别鼻窦良性与恶性病变:扩散加权磁共振成像的可行性
Int Arch Otorhinolaryngol. 2017 Oct;21(4):358-365. doi: 10.1055/s-0036-1597323. Epub 2017 Jan 4.
2
Differentiation of Benign From Malignant Sinonasal Masses Using Diffusion Weighted Imaging and Dynamic Contrast Enhanced Magnetic Resonance Imaging.应用扩散加权成像和动态对比增强磁共振成像鉴别良恶性鼻-鼻窦肿块。
Am J Rhinol Allergy. 2022 Mar;36(2):207-215. doi: 10.1177/19458924211040602. Epub 2021 Sep 5.
3
Can Diffusion Weighted Imaging Aid in Differentiating Benign from Malignant Sinonasal Masses?: A Useful Adjunct.扩散加权成像能否有助于鉴别鼻窦良恶性肿物?:一种有用的辅助手段。
Pol J Radiol. 2017 Jun 28;82:345-355. doi: 10.12659/PJR.900633. eCollection 2017.
4
Diffusion kurtosis imaging for differentiating between the benign and malignant sinonasal lesions.扩散峰度成像用于鉴别鼻窦良性和恶性病变。
J Magn Reson Imaging. 2017 May;45(5):1446-1454. doi: 10.1002/jmri.25500. Epub 2016 Oct 19.
5
High-Resolution Diffusion-Weighted Imaging Improves the Diagnostic Accuracy of Dynamic Contrast-Enhanced Sinonasal Magnetic Resonance Imaging.高分辨率扩散加权成像提高了动态对比增强鼻窦磁共振成像的诊断准确性。
J Comput Assist Tomogr. 2017 Mar/Apr;41(2):199-205. doi: 10.1097/RCT.0000000000000502.
6
Added Value of Diffusion-Weighted Magnetic Resonance Imaging in Differentiating Musculoskeletal Tumors Using Sensitivity and Specificity: A Retrospective Study and Review of Literature.利用敏感性和特异性评估扩散加权磁共振成像在鉴别肌肉骨骼肿瘤中的附加价值:一项回顾性研究及文献综述
Cureus. 2021 Jan 1;13(1):e12422. doi: 10.7759/cureus.12422.
7
Utility of apparent diffusion coefficient in characterization of different sinonasal pathologies.表观扩散系数在不同鼻窦病变特征描述中的应用
Am J Rhinol Allergy. 2014 Sep-Oct;28(5):181-6. doi: 10.2500/ajra.2014.28.4098.
8
Dual-energy CT in differentiating benign sinonasal lesions from malignant ones: comparison with simulated single-energy CT, conventional MRI, and DWI.双能量CT在鉴别鼻窦良性病变与恶性病变中的应用:与模拟单能量CT、传统MRI及DWI的比较
Eur Radiol. 2022 Feb;32(2):1095-1105. doi: 10.1007/s00330-021-08159-3. Epub 2021 Aug 24.
9
Diagnostic value of diffusion-weighted magnetic resonance imaging: differentiation of benign and malignant lymph nodes in different regions of the body.磁共振扩散加权成像的诊断价值:身体不同区域良恶性淋巴结的鉴别
Clin Imaging. 2015 Sep-Oct;39(5):856-62. doi: 10.1016/j.clinimag.2015.05.006. Epub 2015 May 22.
10
Improved performance in differentiating benign from malignant sinonasal tumors using diffusion-weighted combined with dynamic contrast-enhanced magnetic resonance imaging.使用扩散加权成像结合动态对比增强磁共振成像在鉴别鼻窦良性肿瘤与恶性肿瘤方面的性能改善。
Chin Med J (Engl). 2015 Mar 5;128(5):586-92. doi: 10.4103/0366-6999.151649.

引用本文的文献

1
Towards Precision Medicine in Sinonasal Tumors: Low-Dimensional Radiomic Signature Extraction from MRI.迈向鼻窦肿瘤的精准医学:从MRI中提取低维放射组学特征
Diagnostics (Basel). 2025 Jun 30;15(13):1675. doi: 10.3390/diagnostics15131675.
2
Artificial intelligence and MRI in sinonasal tumors discrimination: where do we stand?人工智能与磁共振成像在鼻窦肿瘤鉴别中的应用:我们目前的进展如何?
Eur Arch Otorhinolaryngol. 2025 Mar;282(3):1557-1566. doi: 10.1007/s00405-024-09169-9. Epub 2024 Dec 24.
3
Development and validation of a prediction model for malignant sinonasal tumors based on MR radiomics and machine learning.

本文引用的文献

1
Apparent diffusion coefficient mapping for sinonasal diseases: differentiation of benign and malignant lesions.用于鼻-鼻窦疾病的表观扩散系数图:良性和恶性病变的鉴别。
AJNR Am J Neuroradiol. 2011 Jun-Jul;32(6):1100-6. doi: 10.3174/ajnr.A2434. Epub 2011 Mar 10.
2
Assessment of nasal and paranasal sinus masses by diffusion-weighted MR imaging.通过扩散加权磁共振成像评估鼻腔和鼻窦肿块
J Neuroradiol. 2009 Oct;36(4):206-11. doi: 10.1016/j.neurad.2009.06.001. Epub 2009 Jul 3.
3
Sinonasal inflammatory disease.鼻-鼻窦炎
基于磁共振成像放射组学和机器学习的鼻窦恶性肿瘤预测模型的开发与验证
Eur Radiol. 2025 Apr;35(4):2074-2083. doi: 10.1007/s00330-024-11033-7. Epub 2024 Aug 30.
4
Sinonasal Inflammation or Neoplasm: Raise the Red Flagsǃ-A Pictorial Review.鼻窦炎症或肿瘤:敲响警钟!——图文综述
Indian J Radiol Imaging. 2023 May 6;33(4):522-531. doi: 10.1055/s-0043-1768612. eCollection 2023 Oct.
5
Texture analysis of diffusion kurtosis imaging for differentiating malignant from benign sinonasal lesions: added value to conventional imaging features.扩散峰度成像纹理分析鉴别鼻腔鼻窦良恶性病变:对常规成像特征的附加价值。
Br J Radiol. 2023 Mar 1;96(1144):20220806. doi: 10.1259/bjr.20220806. Epub 2023 Feb 13.
6
Diagnosis and management of extramedullary plasmacytoma in nasal cavity: Clinical experience and literature review.鼻腔髓外浆细胞瘤的诊断与治疗:临床经验与文献回顾。
Medicine (Baltimore). 2023 Jan 13;102(2):e32647. doi: 10.1097/MD.0000000000032647.
7
Dual-Energy Computed Tomography-Derived Iodine Density and Spectral Attenuation Analysis for Differentiation of Inverted Papilloma and Sinonasal Squamous Cell Carcinoma/Lymphoma.基于双能量 CT 碘密度和光谱衰减分析鉴别内翻性乳头状瘤与鼻腔鼻窦鳞癌/淋巴瘤。
J Comput Assist Tomogr. 2022;46(6):953-960. doi: 10.1097/RCT.0000000000001370. Epub 2022 Oct 31.
8
Keeping in Mind Its Synchronous Features, Is Sinonasal Inverted Papilloma Always Benign?考虑到其同步特征,鼻窦内翻性乳头状瘤总是良性的吗?
Cureus. 2022 Jul 31;14(7):e27498. doi: 10.7759/cureus.27498. eCollection 2022 Jul.
9
Dual-energy CT in differentiating benign sinonasal lesions from malignant ones: comparison with simulated single-energy CT, conventional MRI, and DWI.双能量CT在鉴别鼻窦良性病变与恶性病变中的应用:与模拟单能量CT、传统MRI及DWI的比较
Eur Radiol. 2022 Feb;32(2):1095-1105. doi: 10.1007/s00330-021-08159-3. Epub 2021 Aug 24.
10
Radiomics Nomograms Based on Multi-Parametric MRI for Preoperative Differential Diagnosis of Malignant and Benign Sinonasal Tumors: A Two-Centre Study.基于多参数MRI的鼻窦良恶性肿瘤术前鉴别诊断的影像组学列线图:一项双中心研究
Front Oncol. 2021 May 3;11:659905. doi: 10.3389/fonc.2021.659905. eCollection 2021.
Semin Ultrasound CT MR. 2009 Feb;30(1):17-24. doi: 10.1053/j.sult.2008.10.012.
4
Tissue characterization of head and neck lesions using diffusion-weighted MR imaging with SPLICE.使用具有SPLICE的扩散加权磁共振成像对头颈部病变进行组织特征分析。
Eur J Radiol. 2009 Feb;69(2):260-8. doi: 10.1016/j.ejrad.2007.10.008. Epub 2007 Nov 26.
5
Diagnostic ability of apparent diffusion coefficients for lymphomas and carcinomas in the pharynx.表观扩散系数对咽部淋巴瘤和癌的诊断能力
Eur Radiol. 2007 Oct;17(10):2631-7. doi: 10.1007/s00330-007-0588-z. Epub 2007 Feb 16.
6
Evaluating tumors and tumorlike lesions of the nasal cavity, the paranasal sinuses, and the adjacent skull base with diffusion-weighted MRI.利用扩散加权磁共振成像评估鼻腔、鼻窦及相邻颅底的肿瘤和肿瘤样病变。
J Comput Assist Tomogr. 2006 May-Jun;30(3):490-5. doi: 10.1097/00004728-200605000-00023.
7
Radiological imaging of inflammatory lesions in the nasal cavity and paranasal sinuses.鼻腔和鼻窦炎性病变的放射影像学检查
Eur Radiol. 2006 Apr;16(4):872-88. doi: 10.1007/s00330-005-0068-2. Epub 2006 Jan 4.
8
Usefulness of the apparent diffusion coefficient in line scan diffusion-weighted imaging for distinguishing between squamous cell carcinomas and malignant lymphomas of the head and neck.线扫描扩散加权成像中表观扩散系数在鉴别头颈部鳞状细胞癌与恶性淋巴瘤中的应用价值。
AJNR Am J Neuroradiol. 2005 May;26(5):1186-92.
9
Imaging of neoplasms of the paranasal sinuses.鼻旁窦肿瘤的影像学检查
Neuroimaging Clin N Am. 2004 Nov;14(4):625-46. doi: 10.1016/j.nic.2004.07.005.
10
Head and neck lesions: characterization with diffusion-weighted echo-planar MR imaging.头颈部病变:磁共振扩散加权回波平面成像特征分析
Radiology. 2001 Sep;220(3):621-30. doi: 10.1148/radiol.2202010063.