Differentiation of salivary gland tumours using diffusion-weighted image-based virtual MR elastography: a pilot study.

IF 2.9 2区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Dento maxillo facial radiology Pub Date : 2024-04-29 DOI:10.1093/dmfr/twae010
Hye Na Jung, Inseon Ryoo, Sangil Suh, Byungjun Kim, Sung-Hye You, Eunju Kim
{"title":"Differentiation of salivary gland tumours using diffusion-weighted image-based virtual MR elastography: a pilot study.","authors":"Hye Na Jung, Inseon Ryoo, Sangil Suh, Byungjun Kim, Sung-Hye You, Eunju Kim","doi":"10.1093/dmfr/twae010","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Differentiation among benign salivary gland tumours, Warthin tumours (WTs), and malignant salivary gland tumours is crucial to treatment planning and predicting patient prognosis. However, differentiation of those tumours using imaging findings remains difficult. This study evaluated the usefulness of elasticity determined from diffusion-weighted image (DWI)-based virtual MR elastography (MRE) compared with conventional magnetic resonance imaging (MRI) findings in differentiating the tumours.</p><p><strong>Methods: </strong>This study included 17 benign salivary gland tumours, 6 WTs, and 11 malignant salivary gland tumours scanned on neck MRI. The long and short diameters, T1 and T2 signal intensities, tumour margins, apparent diffusion coefficient (ADC) values, and elasticity from DWI-based virtual MRE of the tumours were evaluated. The interobserver agreement in measuring tumour elasticity and the receiver operating characteristic (ROC) curves were also assessed.</p><p><strong>Results: </strong>The long and short diameters and the T1 and T2 signal intensities showed no significant difference among the 3 tumour groups. Tumour margins and the mean ADC values showed significant differences among some tumour groups. The elasticity from virtual MRE showed significant differences among all 3 tumour groups and the interobserver agreement was excellent. The area under the ROC curves of the elasticity were higher than those of tumour margins and mean ADC values.</p><p><strong>Conclusion: </strong>Elasticity values based on DWI-based virtual MRE of benign salivary gland tumours, WTs, and malignant salivary gland tumours were significantly different. The elasticity of WTs was the highest and that of benign tumours was the lowest. The elasticity from DWI-based virtual MRE may aid in the differential diagnosis of salivary gland tumours.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"248-256"},"PeriodicalIF":2.9000,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11056799/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dento maxillo facial radiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/dmfr/twae010","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0

Abstract

Objectives: Differentiation among benign salivary gland tumours, Warthin tumours (WTs), and malignant salivary gland tumours is crucial to treatment planning and predicting patient prognosis. However, differentiation of those tumours using imaging findings remains difficult. This study evaluated the usefulness of elasticity determined from diffusion-weighted image (DWI)-based virtual MR elastography (MRE) compared with conventional magnetic resonance imaging (MRI) findings in differentiating the tumours.

Methods: This study included 17 benign salivary gland tumours, 6 WTs, and 11 malignant salivary gland tumours scanned on neck MRI. The long and short diameters, T1 and T2 signal intensities, tumour margins, apparent diffusion coefficient (ADC) values, and elasticity from DWI-based virtual MRE of the tumours were evaluated. The interobserver agreement in measuring tumour elasticity and the receiver operating characteristic (ROC) curves were also assessed.

Results: The long and short diameters and the T1 and T2 signal intensities showed no significant difference among the 3 tumour groups. Tumour margins and the mean ADC values showed significant differences among some tumour groups. The elasticity from virtual MRE showed significant differences among all 3 tumour groups and the interobserver agreement was excellent. The area under the ROC curves of the elasticity were higher than those of tumour margins and mean ADC values.

Conclusion: Elasticity values based on DWI-based virtual MRE of benign salivary gland tumours, WTs, and malignant salivary gland tumours were significantly different. The elasticity of WTs was the highest and that of benign tumours was the lowest. The elasticity from DWI-based virtual MRE may aid in the differential diagnosis of salivary gland tumours.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用基于弥散加权图像的虚拟磁共振弹性成像技术区分涎腺肿瘤:试点研究。
目的:区分良性唾液腺肿瘤、Warthin 肿瘤和恶性唾液腺肿瘤对于制定治疗计划和预测患者预后至关重要。然而,利用影像学检查结果对这些肿瘤进行鉴别仍然很困难。本研究评估了基于弥散加权成像(DWI)的虚拟磁共振弹性成像(MRE)与传统磁共振成像结果相比在鉴别肿瘤方面的实用性:本研究包括通过颈部磁共振成像扫描的 17 个良性唾液腺肿瘤、6 个 Warthin 肿瘤和 11 个恶性唾液腺肿瘤。对肿瘤的长径和短径、T1和T2信号强度、肿瘤边缘、ADC值和基于DWI的虚拟MRE的弹性进行了评估。同时还评估了测量肿瘤弹性的观察者间一致性和 ROC 曲线:结果:三组肿瘤的长径和短径以及 T1 和 T2 信号强度无显著差异。肿瘤边缘和平均 ADC 值在某些肿瘤组之间存在显著差异。虚拟 MRE 的弹性在三组肿瘤中均有显著差异,观察者之间的一致性非常好。弹性的 ROC 曲线下面积高于肿瘤边缘和平均 ADC 值:结论:基于 DWI 虚拟 MRE 的良性涎腺肿瘤、Warthin 肿瘤和恶性涎腺肿瘤的弹性值存在显著差异。疣状肿瘤的弹性值最高,良性肿瘤的弹性值最低。基于 DWI 的虚拟 MRE 的弹性有助于涎腺肿瘤的鉴别诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.60
自引率
9.10%
发文量
65
审稿时长
4-8 weeks
期刊介绍: Dentomaxillofacial Radiology (DMFR) is the journal of the International Association of Dentomaxillofacial Radiology (IADMFR) and covers the closely related fields of oral radiology and head and neck imaging. Established in 1972, DMFR is a key resource keeping dentists, radiologists and clinicians and scientists with an interest in Head and Neck imaging abreast of important research and developments in oral and maxillofacial radiology. The DMFR editorial board features a panel of international experts including Editor-in-Chief Professor Ralf Schulze. Our editorial board provide their expertise and guidance in shaping the content and direction of the journal. Quick Facts: - 2015 Impact Factor - 1.919 - Receipt to first decision - average of 3 weeks - Acceptance to online publication - average of 3 weeks - Open access option - ISSN: 0250-832X - eISSN: 1476-542X
期刊最新文献
Automated Tooth Segmentation in Magnetic Resonance Scans Using Deep Learning. Development and Evaluation of a Deep Learning Model to Reduce Exomass-Related Metal Artefacts in Cone-Beam Computed Tomography of the Jaws. Preoperative Evaluation of Lingual Cortical Plate Thickness and the Anatomical Relationship of the Lingual Nerve to the Lingual Cortical Plate via 3T MRI Nerve-Bone fusion. Carotid calcifications in panoramic radiographs can predict vascular risk. Preparing for downstream tasks in AI for dental radiology: a baseline performance comparison of deep learning models.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1