Multi-Dynamic-Multi-Echo-based MRI for the Pre-Surgical Determination of Sellar Tumor Consistency: a Quantitative Approach for Predicting Lesion Resectability

IF 2.8 3区 医学 Q2 Medicine
Mehmet Salih Yildirim, Victor Ulrich Schmidbauer, Alexander Micko, Lisa Lechner, Michael Weber, Julia Furtner, Stefan Wolfsberger, Intesar-Victoria Malla Houech, Anna Cho, Gregor Dovjak, Gregor Kasprian, Daniela Prayer, Wolfgang Marik
{"title":"Multi-Dynamic-Multi-Echo-based MRI for the Pre-Surgical Determination of Sellar Tumor Consistency: a Quantitative Approach for Predicting Lesion Resectability","authors":"Mehmet Salih Yildirim, Victor Ulrich Schmidbauer, Alexander Micko, Lisa Lechner, Michael Weber, Julia Furtner, Stefan Wolfsberger, Intesar-Victoria Malla Houech, Anna Cho, Gregor Dovjak, Gregor Kasprian, Daniela Prayer, Wolfgang Marik","doi":"10.1007/s00062-024-01407-1","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Purpose</h3><p>Pre-surgical information about tumor consistency could facilitate neurosurgical planning. This study used multi-dynamic-multi-echo (MDME)-based relaxometry for the quantitative determination of pituitary tumor consistency, with the aim of predicting lesion resectability.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>Seventy-two patients with suspected pituitary adenomas, who underwent preoperative 3 T MRI between January 2020 and January 2022, were included in this prospective study. Lesion-specific T1-/T2-relaxation times (T1R/T2R) and proton density (PD) metrics were determined. During surgery, data about tumor resectability were collected. A Receiver Operating Characteristic (ROC) curve analysis was performed to investigate the diagnostic performance (sensitivity/specificity) for discriminating between easy- and hard-to-remove by aspiration (eRAsp and hRAsp) lesions. A Mann-Whitney-U-test was done for group comparison.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>A total of 65 participants (mean age, 54 years ± 15, 33 women) were enrolled in the quantitative analysis. Twenty-four lesions were classified as hRAsp, while 41 lesions were assessed as eRAsp. There were significant differences in T1R (hRAsp: 1221.0 ms ± 211.9; eRAsp: 1500.2 ms ± 496.4; <i>p</i> = 0.003) and T2R (hRAsp: 88.8 ms ± 14.5; eRAsp: 137.2 ms ± 166.6; <i>p</i> = 0.03) between both groups. The ROC analysis revealed an area under the curve of 0.72 (95% CI: 0.60–0.85) at <i>p</i> = 0.003 for T1R (cutoff value: 1248 ms; sensitivity/specificity: 78%/58%) and 0.66 (95% CI: 0.53–0.79) at <i>p</i> = 0.03 for T2R (cutoff value: 110 ms; sensitivity/specificity: 39%/96%).</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>MDME-based relaxometry enables a non-invasive, pre-surgical characterization of lesion consistency and, therefore, provides a modality with which to predict tumor resectability.</p>","PeriodicalId":10391,"journal":{"name":"Clinical Neuroradiology","volume":"51 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Neuroradiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00062-024-01407-1","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose

Pre-surgical information about tumor consistency could facilitate neurosurgical planning. This study used multi-dynamic-multi-echo (MDME)-based relaxometry for the quantitative determination of pituitary tumor consistency, with the aim of predicting lesion resectability.

Methods

Seventy-two patients with suspected pituitary adenomas, who underwent preoperative 3 T MRI between January 2020 and January 2022, were included in this prospective study. Lesion-specific T1-/T2-relaxation times (T1R/T2R) and proton density (PD) metrics were determined. During surgery, data about tumor resectability were collected. A Receiver Operating Characteristic (ROC) curve analysis was performed to investigate the diagnostic performance (sensitivity/specificity) for discriminating between easy- and hard-to-remove by aspiration (eRAsp and hRAsp) lesions. A Mann-Whitney-U-test was done for group comparison.

Results

A total of 65 participants (mean age, 54 years ± 15, 33 women) were enrolled in the quantitative analysis. Twenty-four lesions were classified as hRAsp, while 41 lesions were assessed as eRAsp. There were significant differences in T1R (hRAsp: 1221.0 ms ± 211.9; eRAsp: 1500.2 ms ± 496.4; p = 0.003) and T2R (hRAsp: 88.8 ms ± 14.5; eRAsp: 137.2 ms ± 166.6; p = 0.03) between both groups. The ROC analysis revealed an area under the curve of 0.72 (95% CI: 0.60–0.85) at p = 0.003 for T1R (cutoff value: 1248 ms; sensitivity/specificity: 78%/58%) and 0.66 (95% CI: 0.53–0.79) at p = 0.03 for T2R (cutoff value: 110 ms; sensitivity/specificity: 39%/96%).

Conclusion

MDME-based relaxometry enables a non-invasive, pre-surgical characterization of lesion consistency and, therefore, provides a modality with which to predict tumor resectability.

Abstract Image

基于多动态多回波的核磁共振成像在手术前确定ellar肿瘤一致性:预测病变可切除性的定量方法
目的 手术前了解肿瘤的一致性有助于制定神经外科手术计划。本研究采用基于多动态多回波(MDME)的弛豫测量法对垂体瘤的一致性进行定量测定,旨在预测病变的可切除性。方法这项前瞻性研究纳入了在2020年1月至2022年1月期间接受术前3 T磁共振成像检查的72例疑似垂体腺瘤患者。研究确定了病变特异性T1/T2松弛时间(T1R/T2R)和质子密度(PD)指标。在手术过程中,收集了有关肿瘤可切除性的数据。进行了接收者操作特征曲线(ROC)分析,以研究区分易切除病灶和难切除病灶(ERAsp和hRAsp)的诊断性能(灵敏度/特异性)。结果 共有 65 名参与者(平均年龄为 54 岁±15 岁,33 名女性)参与了定量分析。24 个病灶被归类为 hRAsp,41 个病灶被评估为 eRAsp。两组的 T1R(hRAsp:1221.0 ms ± 211.9;eerasp:1500.2 ms ± 496.4;p = 0.003)和 T2R(hRAsp:88.8 ms ± 14.5;eerasp:137.2 ms ± 166.6;p = 0.03)有明显差异。ROC 分析显示,在 p = 0.003 时,T1R(临界值:1248 ms;敏感性/特异性:78%/58%)的曲线下面积为 0.72(95% CI:0.60-0.85);在 p = 0.003 时,T2R(临界值:1248 ms;敏感性/特异性:78%/58%)的曲线下面积为 0.66(95% CI:0.53-0.79)。结论:基于 MDME 的弛豫测量可在手术前对病变的一致性进行无创鉴定,因此是预测肿瘤可切除性的一种方法。
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 求助全文
来源期刊
Clinical Neuroradiology
Clinical Neuroradiology Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
4.90
自引率
3.60%
发文量
0
期刊介绍: Clinical Neuroradiology provides current information, original contributions, and reviews in the field of neuroradiology. An interdisciplinary approach is accomplished by diagnostic and therapeutic contributions related to associated subjects. The international coverage and relevance of the journal is underlined by its being the official journal of the German, Swiss, and Austrian Societies of Neuroradiology.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信