• 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

The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset.

作者信息

Fields Brandon K K, Calabrese Evan, Mongan John, Cha Soonmee, Hess Christopher P, Sugrue Leo P, Chang Susan M, Luks Tracy L, Villanueva-Meyer Javier E, Rauschecker Andreas M, Rudie Jeffrey D

机构信息

From the Center for Intelligent Imaging, Department of Radiology & Biomedical Imaging (B.K.K.F., E.C., J.M., S.C., C.P.H., L.P.S., T.L.L., J.E.V.M., A.M.R., J.D.R.), and Division of Neuro-Oncology, Department of Neurologic Surgery (S.M.C.), University of California San Francisco, 513 Parnassus Ave, Suite S-261D, Box 0628, San Francisco, CA 94143.

出版信息

Radiol Artif Intell. 2024 Jul;6(4):e230182. doi: 10.1148/ryai.230182.

DOI:10.1148/ryai.230182
PMID:38864741
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11294954/
Abstract
摘要

相似文献

1
The University of California San Francisco Adult Longitudinal Post-Treatment Diffuse Glioma MRI Dataset.加利福尼亚大学旧金山分校成人弥漫性胶质瘤治疗后纵向MRI数据集。
Radiol Artif Intell. 2024 Jul;6(4):e230182. doi: 10.1148/ryai.230182.
2
Two-Stage Training Framework Using Multicontrast MRI Radiomics for Mutation Status Prediction in Glioma.基于多对比度 MRI 放射组学的两阶段训练框架用于预测脑胶质瘤的突变状态。
Radiol Artif Intell. 2024 Jul;6(4):e230218. doi: 10.1148/ryai.230218.
3
The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.加利福尼亚大学旧金山分校脑转移瘤立体定向放射外科手术（UCSF - BMSR）MRI数据集
Radiol Artif Intell. 2024 Mar;6(2):e230126. doi: 10.1148/ryai.230126.
4
The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset.加利福尼亚大学旧金山分校术前弥漫性胶质瘤MRI数据集。
Radiol Artif Intell. 2022 Oct 5;4(6):e220058. doi: 10.1148/ryai.220058. eCollection 2022 Nov.
5
Fractal dimension and lacunarity measures of glioma subcomponents are discriminative of the grade of gliomas and IDH status.脑胶质瘤各成分的分形维数和空隙度测量可用于区分胶质瘤的级别和 IDH 状态。
NMR Biomed. 2024 Dec;37(12):e5272. doi: 10.1002/nbm.5272. Epub 2024 Oct 5.
6
Intraoperative 3D ultrasound-guided resection of diffuse low-grade gliomas: radiological and clinical results.术中 3D 超声引导弥漫性低级别胶质瘤切除术：影像学和临床结果。
J Neurosurg. 2019 Feb 1;132(2):518-529. doi: 10.3171/2018.10.JNS181290. Print 2020 Feb 1.
7
Extension of diffuse low-grade gliomas beyond radiological borders as shown by the coregistration of histopathological and magnetic resonance imaging data.弥散性低级别胶质瘤的影像学边界外侵犯：基于组织病理学和磁共振成像数据的配准。
J Neurosurg. 2016 Nov;125(5):1155-1166. doi: 10.3171/2015.10.JNS15583. Epub 2016 Feb 26.
8
Differentiating Glioma Recurrence and Pseudoprogression by APTw CEST MRI.通过动脉自旋标记磁共振成像（APTw CEST MRI）鉴别胶质瘤复发与假性进展
Invest Radiol. 2025 Jun 1;60(6):414-422. doi: 10.1097/RLI.0000000000001145. Epub 2024 Dec 9.
9
The transcortical equatorial approach for gliomas of the mesial temporal lobe: techniques and functional outcomes.经皮质赤道入路切除颞叶内侧胶质瘤：技术与功能预后。
J Neurosurg. 2019 Mar 1;130(3):822-830. doi: 10.3171/2017.10.JNS172055.
10
Tumor growth dynamics in serially-imaged low-grade glioma patients.连续成像低级别胶质瘤患者的肿瘤生长动态。
J Neurooncol. 2018 Aug;139(1):167-175. doi: 10.1007/s11060-018-2857-x. Epub 2018 Apr 9.

本文引用的文献

1
Automated segmentation of ablated lesions using deep convolutional neural networks: A basis for response assessment following laser interstitial thermal therapy.使用深度卷积神经网络对消融病变进行自动分割：激光间质热疗后反应评估的基础。
Neuro Oncol. 2024 Jun 3;26(6):1152-1162. doi: 10.1093/neuonc/noad261.
2
Machine learning based gray-level co-occurrence matrix early warning system enables accurate detection of colorectal cancer pelvic bone metastases on MRI.基于机器学习的灰度共生矩阵早期预警系统能够在磁共振成像（MRI）上准确检测结直肠癌骨盆骨转移。
Front Oncol. 2023 Mar 22;13:1121594. doi: 10.3389/fonc.2023.1121594. eCollection 2023.
3
Predicting Soft Tissue Sarcoma Response to Neoadjuvant Chemotherapy Using an MRI-Based Delta-Radiomics Approach.基于 MRI 的Δ放射组学方法预测软组织肉瘤对新辅助化疗的反应。
Mol Imaging Biol. 2023 Aug;25(4):776-787. doi: 10.1007/s11307-023-01803-y. Epub 2023 Jan 25.
4
The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset.加利福尼亚大学旧金山分校术前弥漫性胶质瘤MRI数据集。
Radiol Artif Intell. 2022 Oct 5;4(6):e220058. doi: 10.1148/ryai.220058. eCollection 2022 Nov.
5
The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation.LUMIERE 数据集：具有专家 RANO 评估的纵向胶质母细胞瘤 MRI。
Sci Data. 2022 Dec 15;9(1):768. doi: 10.1038/s41597-022-01881-7.
6
Isocitrate dehydrogenase (IDH) mutant gliomas: A Society for Neuro-Oncology (SNO) consensus review on diagnosis, management, and future directions.异柠檬酸脱氢酶（IDH）突变型脑胶质瘤：神经肿瘤学会（SNO）关于诊断、管理和未来方向的共识综述。
Neuro Oncol. 2023 Jan 5;25(1):4-25. doi: 10.1093/neuonc/noac207.
7
Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks.使用三维卷积神经网络对治疗后弥漫性胶质瘤组织体积进行纵向评估。
Radiol Artif Intell. 2022 Aug 3;4(5):e210243. doi: 10.1148/ryai.210243. eCollection 2022 Sep.
8
Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study.基于人工智能的决策支持可提高神经肿瘤学中肿瘤反应评估的可重复性：一项国际多读者研究。
Neuro Oncol. 2023 Mar 14;25(3):533-543. doi: 10.1093/neuonc/noac189.
9
CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma.基于CT的透明细胞肾细胞癌肿瘤分级和TNM分期的影像组学分层
Eur Radiol. 2022 Apr;32(4):2552-2563. doi: 10.1007/s00330-021-08344-4. Epub 2021 Nov 10.
10
Whole-tumor 3D volumetric MRI-based radiomics approach for distinguishing between benign and malignant soft tissue tumors.基于全肿瘤 3D 容积 MRI 的放射组学方法鉴别良恶性软组织肿瘤。
Eur Radiol. 2021 Nov;31(11):8522-8535. doi: 10.1007/s00330-021-07914-w. Epub 2021 Apr 23.