• 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

基于硬度的弹性成像在胰腺神经内分泌肿瘤侵袭性特征描述中的附加价值

Added Value of Tomoelastography for Characterization of Pancreatic Neuroendocrine Tumor Aggressiveness Based on Stiffness.

作者信息

Gültekin Emin, Wetz Christoph, Braun Jürgen, Geisel Dominik, Furth Christian, Hamm Bernd, Sack Ingolf, Marticorena Garcia Stephan R

机构信息

Department of Radiology, Campus Virchow Klinikum, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany.

Department of Nuclear Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Charitéplatz 1, 13353 Berlin, Germany.

出版信息

Cancers (Basel). 2021 Oct 15;13(20):5185. doi: 10.3390/cancers13205185.

DOI:10.3390/cancers13205185
PMID:34680334
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8533708/
Abstract

PURPOSE

To evaluate the diagnostic performance of tomoelastography in differentiating pancreatic neuroendocrine tumors (PNETs) from healthy pancreatic tissue and to assess the prediction of tumor aggressiveness by correlating PNET stiffness with PET derived asphericity.

METHODS

13 patients with PNET were prospectively compared to 13 age-/sex-matched heathy volunteers (CTR). Multifrequency MR elastography was combined with tomoelastography-postprocessing to provide high-resolution maps of shear wave speed (SWS in m/s). SWS of pancreatic neuroendocrine tumor (PNET-T) were compared with nontumorous pancreatic tissue in patients with PNET (PNET-NT) and heathy pancreatic tissue (CTR). The diagnostic performance of tomoelastography was evaluated by ROC-AUC analysis. PNET-SWS correlations were calculated with Pearson's .

RESULTS

SWS was higher in PNET-T (2.02 ± 0.61 m/s) compared to PNET-NT (1.31 ± 0.18 m/s, < 0.01) and CTR (1.26 ± 0.09 m/s, < 0.01). An SWS-cutoff of 1.46 m/s distinguished PNET-T from PNET-NT (AUC = 0.89; sensitivity = 0.85; specificity = 0.92) and a cutoff of 1.49 m/s differentiated pancreatic tissue of CTR from PNET-T (AUC = 0.96; sensitivity = 0.92; specificity = 1.00). The SWS of PNET-T was positively correlated with PET derived asphericity ( = 0.81; = 0.01).

CONCLUSIONS

Tomoelastography provides quantitative imaging markers for the detection of PNET and the prediction of greater tumor aggressiveness by increased stiffness.

摘要

目的

评估弹性成像断层扫描在鉴别胰腺神经内分泌肿瘤(PNET)与健康胰腺组织方面的诊断性能,并通过将PNET硬度与PET衍生的非球形度相关联来评估肿瘤侵袭性的预测。

方法

前瞻性地将13例PNET患者与13例年龄和性别匹配的健康志愿者(对照组)进行比较。多频磁共振弹性成像与弹性成像断层扫描后处理相结合,以提供剪切波速度(SWS,单位为m/s)的高分辨率图。将PNET患者的胰腺神经内分泌肿瘤(PNET-T)的SWS与非肿瘤性胰腺组织(PNET-NT)和健康胰腺组织(对照组)进行比较。通过ROC-AUC分析评估弹性成像断层扫描的诊断性能。用Pearson相关性分析计算PNET-SWS的相关性。

结果

与PNET-NT(1.31±0.18 m/s,P<0.01)和对照组(1.26±0.09 m/s,P<0.01)相比,PNET-T的SWS更高(2.02±0.61 m/s)。SWS临界值为1.46 m/s可区分PNET-T与PNET-NT(AUC=0.89;敏感性=0.85;特异性=0.92),临界值为1.49 m/s可区分对照组的胰腺组织与PNET-T(AUC=0.96;敏感性=0.92;特异性=1.00)。PNET-T的SWS与PET衍生的非球形度呈正相关(r=0.81;P=0.01)。

结论

弹性成像断层扫描为PNET的检测以及通过硬度增加预测更高的肿瘤侵袭性提供了定量成像标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/face/8533708/c4cd9c0dfb32/cancers-13-05185-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/face/8533708/d1a7aae3618e/cancers-13-05185-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/face/8533708/23e724e32d28/cancers-13-05185-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/face/8533708/96126283eb13/cancers-13-05185-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/face/8533708/9d65971d8adf/cancers-13-05185-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/face/8533708/c4cd9c0dfb32/cancers-13-05185-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/face/8533708/d1a7aae3618e/cancers-13-05185-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/face/8533708/23e724e32d28/cancers-13-05185-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/face/8533708/96126283eb13/cancers-13-05185-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/face/8533708/9d65971d8adf/cancers-13-05185-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/face/8533708/c4cd9c0dfb32/cancers-13-05185-g004.jpg

相似文献

1
Added Value of Tomoelastography for Characterization of Pancreatic Neuroendocrine Tumor Aggressiveness Based on Stiffness.基于硬度的弹性成像在胰腺神经内分泌肿瘤侵袭性特征描述中的附加价值
Cancers (Basel). 2021 Oct 15;13(20):5185. doi: 10.3390/cancers13205185.
2
Tomoelastography for Measurement of Tumor Volume Related to Tissue Stiffness in Pancreatic Ductal Adenocarcinomas.基于组织硬度的胰腺导管腺癌肿瘤体积的断层弹性成像测量。
Invest Radiol. 2020 Dec;55(12):769-774. doi: 10.1097/RLI.0000000000000704.
3
Distinguishing pancreatic cancer and autoimmune pancreatitis with in vivo tomoelastography.应用体视显微镜弹性成像技术鉴别胰腺癌与自身免疫性胰腺炎。
Eur Radiol. 2021 May;31(5):3366-3374. doi: 10.1007/s00330-020-07420-5. Epub 2020 Oct 30.
4
Contrast-enhanced ultrasound (CEUS) and shear wave elastography (SWE) features for characterizing serous microcystic adenomas (SMAs): In comparison to pancreatic neuroendocrine tumors (pNETs).用于表征浆液性微囊性腺瘤(SMA)的超声造影(CEUS)和剪切波弹性成像(SWE)特征:与胰腺神经内分泌肿瘤(pNET)相比。
Heliyon. 2024 Feb 1;10(3):e25185. doi: 10.1016/j.heliyon.2024.e25185. eCollection 2024 Feb 15.
5
Fast tomoelastography of the mouse brain by multifrequency single-shot MR elastography.多频单次磁共振弹性成像快速检测小鼠脑。
Magn Reson Med. 2019 Apr;81(4):2676-2687. doi: 10.1002/mrm.27586. Epub 2018 Nov 4.
6
Ultrasound Time-Harmonic Elastography of the Pancreas: Reference Values and Clinical Feasibility.胰腺超声时谐波弹性成像:参考值和临床可行性。
Invest Radiol. 2020 May;55(5):270-276. doi: 10.1097/RLI.0000000000000638.
7
Cerebral tomoelastography based on multifrequency MR elastography in two and three dimensions.基于多频磁共振弹性成像的二维和三维脑断层弹性成像
Front Bioeng Biotechnol. 2022 Dec 2;10:1056131. doi: 10.3389/fbioe.2022.1056131. eCollection 2022.
8
Rectal Tumor Stiffness Quantified by Tomoelastography and Collagen Content Estimated by Histopathology Predict Tumor Aggressiveness.通过弹性成像量化的直肠肿瘤硬度和通过组织病理学估计的胶原含量可预测肿瘤侵袭性。
Front Oncol. 2021 Aug 13;11:701336. doi: 10.3389/fonc.2021.701336. eCollection 2021.
9
In Vivo Quantification of Water Diffusion, Stiffness, and Tissue Fluidity in Benign Prostatic Hyperplasia and Prostate Cancer.良性前列腺增生和前列腺癌中水扩散、硬度和组织流动性的体内定量分析。
Invest Radiol. 2020 Aug;55(8):524-530. doi: 10.1097/RLI.0000000000000685.
10
Tomoelastography Based on Multifrequency MR Elastography for Prostate Cancer Detection: Comparison with Multiparametric MRI.基于多频磁共振弹性成像的前列腺癌检测的断层弹性成像:与多参数 MRI 的比较。
Radiology. 2021 May;299(2):362-370. doi: 10.1148/radiol.2021201852. Epub 2021 Mar 9.

引用本文的文献

1
Added value of multifrequency magnetic resonance elastography in predicting pathological grading of pancreatic neuroendocrine neoplasms.多频磁共振弹性成像在预测胰腺神经内分泌肿瘤病理分级中的附加价值。
Insights Imaging. 2025 Jun 12;16(1):119. doi: 10.1186/s13244-025-02008-3.
2
High-frequency shear wave MR elastography of parotid glands: custom driver design and preliminary results.高频剪切波磁共振弹性成像在腮腺中的应用:定制驱动器设计与初步结果。
Sci Rep. 2024 Oct 18;14(1):24496. doi: 10.1038/s41598-024-75806-2.
3
characterization of brain tumor biomechanics: magnetic resonance elastography in intracranial B16 melanoma and GL261 glioma mouse models.

本文引用的文献

1
Proteoglycans as Mediators of Cancer Tissue Mechanics.蛋白聚糖作为癌症组织力学的介质
Front Cell Dev Biol. 2020 Nov 30;8:569377. doi: 10.3389/fcell.2020.569377. eCollection 2020.
2
Distinguishing pancreatic cancer and autoimmune pancreatitis with in vivo tomoelastography.应用体视显微镜弹性成像技术鉴别胰腺癌与自身免疫性胰腺炎。
Eur Radiol. 2021 May;31(5):3366-3374. doi: 10.1007/s00330-020-07420-5. Epub 2020 Oct 30.
3
Asphericity of Somatostatin Receptor Expression in Neuroendocrine Tumors: An Innovative Predictor of Outcome in Everolimus Treatment?
脑肿瘤生物力学特性:颅内B16黑色素瘤和GL261胶质瘤小鼠模型中的磁共振弹性成像
Front Oncol. 2024 Sep 11;14:1402578. doi: 10.3389/fonc.2024.1402578. eCollection 2024.
4
3D vector MR elastography applications in small organs.三维向量磁共振弹性成像在小器官中的应用。
Magn Reson Imaging. 2024 Oct;112:54-62. doi: 10.1016/j.mri.2024.06.005. Epub 2024 Jun 21.
5
Three-dimensional multifrequency magnetic resonance elastography improves preoperative assessment of proliferative hepatocellular carcinoma.三维多频磁共振弹性成像改善增殖性肝细胞癌的术前评估。
Insights Imaging. 2023 May 18;14(1):89. doi: 10.1186/s13244-023-01427-4.
6
Added Value of Viscoelasticity for MRI-Based Prediction of Ki-67 Expression of Hepatocellular Carcinoma Using a Deep Learning Combined Radiomics (DLCR) Model.基于深度学习联合放射组学(DLCR)模型的磁共振成像预测肝细胞癌Ki-67表达中黏弹性的附加价值
Cancers (Basel). 2022 May 24;14(11):2575. doi: 10.3390/cancers14112575.
神经内分泌肿瘤中生长抑素受体表达的非球性:依维莫司治疗结果的创新预测指标?
Diagnostics (Basel). 2020 Sep 22;10(9):732. doi: 10.3390/diagnostics10090732.
4
Tomoelastography for non-invasive detection of ameloblastoma and metastatic neck lymph nodes.超声弹性成像技术在非侵袭性检测造釉细胞瘤和转移性颈部淋巴结中的应用。
BMJ Case Rep. 2020 Sep 9;13(9):e235930. doi: 10.1136/bcr-2020-235930.
5
Tomoelastography for Measurement of Tumor Volume Related to Tissue Stiffness in Pancreatic Ductal Adenocarcinomas.基于组织硬度的胰腺导管腺癌肿瘤体积的断层弹性成像测量。
Invest Radiol. 2020 Dec;55(12):769-774. doi: 10.1097/RLI.0000000000000704.
6
In Vivo Quantification of Water Diffusion, Stiffness, and Tissue Fluidity in Benign Prostatic Hyperplasia and Prostate Cancer.良性前列腺增生和前列腺癌中水扩散、硬度和组织流动性的体内定量分析。
Invest Radiol. 2020 Aug;55(8):524-530. doi: 10.1097/RLI.0000000000000685.
7
Treatment-related changes in neuroendocrine tumors as assessed by textural features derived from Ga-DOTATOC PET/MRI with simultaneous acquisition of apparent diffusion coefficient.基于同时采集的表观扩散系数的 Ga-DOTATOC PET/MRI 纹理特征评估神经内分泌肿瘤的治疗相关性变化。
BMC Cancer. 2020 Apr 16;20(1):326. doi: 10.1186/s12885-020-06836-y.
8
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.影像生物标志物标准化倡议:高通量基于影像表型的标准化定量放射组学。
Radiology. 2020 May;295(2):328-338. doi: 10.1148/radiol.2020191145. Epub 2020 Mar 10.
9
Fibrosis and cancer: A strained relationship.纤维化与癌症:紧张的关系。
Biochim Biophys Acta Rev Cancer. 2020 Apr;1873(2):188356. doi: 10.1016/j.bbcan.2020.188356. Epub 2020 Mar 5.
10
Don't sugarcoat it: How glycocalyx composition influences cancer progression.不要粉饰:糖萼组成如何影响癌症进展。
J Cell Biol. 2020 Jan 6;219(1). doi: 10.1083/jcb.201910070.