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Additional file 1 of Use of static and dynamic [18F]-F-DOPA PET parameters for detecting patients with glioma recurrence or progression

NIAID Data Ecosystem2026-03-11 收录

胶质瘤影像诊断

PET动态参数分析

数据链接：

https://figshare.com/articles/dataset/Additional_file_1_of_Use_of_static_and_dynamic_18F_-F-DOPA_PET_parameters_for_detecting_patients_with_glioma_recurrence_or_progression/12398876 数据链接链接失效反馈

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资源简介：

Additional file 1. Supplemental Table.

应用场景：

创建时间：

2020-05-29

胶质瘤影像诊断

立体定向活检安全性

BackgroundAn integrated diagnosis consisting of histology and molecular markers is the basis of the current WHO classification system of gliomas. In patients with suspected newly diagnosed or recurren

NIAID Data Ecosystem40

LUMIERE dataset - MRI data and automated segmentations

胶质瘤影像诊断

脑肿瘤自动分割

This zip files contains the anonymized MRI data for 91 Glioblastoma patients. 599 of a total of 638 studies include the complete set of four MRI sequences (pre- and post-contrast T1-weighted, T2-weigh

Figshare2022-12-13 更新30

Additional file 7: of Direct comparison of [11C] choline and [18F] FET PET to detect glioma infiltration: a diagnostic accuracy study in eight patients

胶质瘤影像诊断

PET正电子发射断层扫描

Multivariable regression analysis with tumour-to-brain ratios of 11C-choline and 18F-FET PET for high- and low-grade gliomas. (XLSX 38 kb)

Figshare2024-03-01 更新20

胶质瘤影像诊断

生物标志物分析

This record contains raw data related to article "The role of 11C-methionine PET in patients with negative diffusion-weighted magnetic resonance imaging: correlation with histology and molecular bioma

NIAID Data Ecosystem30

DataSheet_2_A Quantitative Assessment of Pre-Operative MRI Reports in Glioma Patients: Report Metrics and IDH Prediction Ability.xlsx

胶质瘤影像诊断

IDH异柠檬酸脱氢酶

ObjectivesTo measure the metrics of glioma pre-operative MRI reports and build IDH prediction models. MethodsPre-operative MRI reports of 144 glioma patients in a single institution were collected ret

NIAID Data Ecosystem30

Additional file 1 of Use of static and dynamic [18F]-F-DOPA PET parameters for detecting patients with glioma recurrence or progression

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