Literature DB >> 31386074

Response Assessment in Neuro-Oncology (RANO): more than imaging criteria for malignant glioma.

Susan M Chang1, Patrick Y Wen1, Michael A Vogelbaum1, David R Macdonald1, Martin J van den Bent1.   

Abstract

The introduction of antiangiogenic therapies for the treatment of malignant glioma and the effect of these agents on standard imaging studies were the stimuli for forming a small group of investigators to critically evaluate the limitations of the Macdonald criteria in assessing response to treatment. The initial goal of this group was to highlight the challenges in accurately determining the efficacy of therapeutic interventions for malignant glioma and to develop new criteria that could be implemented in clinical care as well as in the design and conduct of clinical trials. This initial Response Assessment in Neuro-Oncology (RANO) effort started in 2008 and over the last 7 years, it has expanded to include a critical review of response assessment across several tumor types as well as endpoint selection and trial design to improve outcome criteria for neuro-oncological trials. In this paper, we review the overarching principles of the RANO initiative and the efforts to date. We also highlight the diverse and expanding efforts of the multidisciplinary groups of investigators who have volunteered their time as part of this endeavor.

Entities:  

Keywords:  Response Assessment in Neuro-Oncology (RANO) criteria; malignant glioma

Year:  2015        PMID: 31386074      PMCID: PMC6664617          DOI: 10.1093/nop/npv037

Source DB:  PubMed          Journal:  Neurooncol Pract        ISSN: 2054-2577


  2 in total

Review 1.  Advanced imaging techniques for neuro-oncologic tumor diagnosis, with an emphasis on PET-MRI imaging of malignant brain tumors.

Authors:  Wynton B Overcast; Korbin M Davis; Chang Y Ho; Gary D Hutchins; Mark A Green; Brian D Graner; Michael C Veronesi
Journal:  Curr Oncol Rep       Date:  2021-02-18       Impact factor: 5.075

2.  Robust Deep Learning-based Segmentation of Glioblastoma on Routine Clinical MRI Scans Using Sparsified Training.

Authors:  Roelant S Eijgelaar; Martin Visser; Domenique M J Müller; Frederik Barkhof; Hugo Vrenken; Marcel van Herk; Lorenzo Bello; Marco Conti Nibali; Marco Rossi; Tommaso Sciortino; Mitchel S Berger; Shawn Hervey-Jumper; Barbara Kiesel; Georg Widhalm; Julia Furtner; Pierre A J T Robe; Emmanuel Mandonnet; Philip C De Witt Hamer; Jan C de Munck; Marnix G Witte
Journal:  Radiol Artif Intell       Date:  2020-09-30
  2 in total

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