ロード中...
NIMG-70. QUANTITATIVE IMAGE ANALYSIS AND MACHINE LEARNING TECHNIQUES FOR DISTINGUISHING TRUE PROGRESSION FROM PSEUDOPROGRESSION IN PATIENTS WITH GLIOBLASTOMA
PURPOSE: Imaging follow up of glioblastoma patients, after maximal safe resection and radiochemotherapy, commonly demonstrates new/increasing enhancement around the tumor bed concerning for tumor progression/recurrence (TP). However, in ~50%, this enhancement represents primarily treatment-related c...
保存先:
| 出版年: | Neuro Oncol |
|---|---|
| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2018
|
| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6216519/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/neuonc/noy148.794 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|