Validation and optimization of a web-based nomogram for predicting survival of patients with newly diagnosed glioblastoma

Purpose To optimize and validate a current (NRG [a newly constituted National Clinical Trials Network group through National Surgical Adjuvant Breast and Bowel Project [NSABP], the Radiation Therapy Oncology Group [RTOG] and the Gynecologic Oncology Group (GOG)]) nomogram for glioblastoma patients a...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Strahlentherapie und Onkologie 2020, Vol.196 (1), p.58-69
Hauptverfasser:	Kim, Nalee, Chang, Jee Suk, Wee, Chan Woo, Kim, In Ah, Chang, Jong Hee, Lee, Hye Sun, Kim, Se Hoon, Kang, Seok-Gu, Kim, Eui Hyun, Yoon, Hong In, Kim, Jun Won, Hong, Chang-Ki, Cho, Jaeho, Kim, Eunji, Kim, Tae Min, Kim, Yu Jung, Park, Chul-Kee, Kim, Jin Wook, Kim, Chae-Yong, Choi, Seung Hong, Kim, Jae Hyoung, Park, Sung-Hye, Choe, Gheeyoung, Lee, Soon-Tae, Kim, Il Han, Suh, Chang-Ok
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Brain cancer Calibration Hospitals Identification methods Mathematical models Medical prognosis Medicine Medicine & Public Health Mutation Nomograms Oncology Optimization Original Article Parameter estimation Predictions Radiation therapy Radiotherapy Regression analysis Survival Tumors
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!