Literature DB >> 27742111

Response Assessment in Neuro-Oncology Criteria and Clinical Endpoints.

Raymond Y Huang1, Patrick Y Wen2.   

Abstract

The Response Assessment in Neuro-Oncology (RANO) Working Group is an international multidisciplinary group whose goal is to improve response criteria and define endpoints for neuro-oncology trials. The RANO criteria for high-grade gliomas attempt to address the issues of pseudoprogression, pseudoresponse, and nonenhancing tumor progression. Incorporation of advanced MR imaging may eventually help improve the ability of these criteria to define enhancing and nonenhancing disease better. The RANO group has also developed criteria for neurologic response and evaluation of patients receiving immunologic therapies. RANO criteria have been developed for brain metastases and are in progress for meningiomas, leptomeningeal disease, spinal tumors, and pediatric tumors.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain metastases; Endpoints; Gliomas; RANO; Response assessment

Mesh:

Year:  2016        PMID: 27742111     DOI: 10.1016/j.mric.2016.06.003

Source DB:  PubMed          Journal:  Magn Reson Imaging Clin N Am        ISSN: 1064-9689            Impact factor:   2.266


  9 in total

Review 1.  Emerging Gene Fusion Drivers in Primary and Metastatic Central Nervous System Malignancies: A Review of Available Evidence for Systemic Targeted Therapies.

Authors:  Priscilla K Brastianos; Franziska Maria Ippen; Umbreen Hafeez; Hui K Gan
Journal:  Oncologist       Date:  2018-04-27

Review 2.  Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors for Central Nervous System Metastases from Non-Small Cell Lung Cancer.

Authors:  Manmeet S Ahluwalia; Kevin Becker; Benjamin P Levy
Journal:  Oncologist       Date:  2018-04-12

3.  Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma.

Authors:  E George; E Flagg; K Chang; H X Bai; H J Aerts; M Vallières; D A Reardon; R Y Huang
Journal:  AJNR Am J Neuroradiol       Date:  2022-04-28       Impact factor: 3.825

4.  Object Detection Improves Tumour Segmentation in MR Images of Rare Brain Tumours.

Authors:  Hamza Chegraoui; Cathy Philippe; Volodia Dangouloff-Ros; Antoine Grigis; Raphael Calmon; Nathalie Boddaert; Frédérique Frouin; Jacques Grill; Vincent Frouin
Journal:  Cancers (Basel)       Date:  2021-12-04       Impact factor: 6.639

5.  Volumetric measurement of intracranial meningiomas: a comparison between linear, planimetric, and machine learning with multiparametric voxel-based morphometry methods.

Authors:  Jonadab Dos Santos Silva; Cláudia Abib Schreiner; Lázaro de Lima; Carlos Eduardo Pinheiro Leal Brigido; Christopher D Wilson; Luke McVeigh; Joseph Acchiardo; José Alberto Landeiro; Marcus André Acioly; Aaron Cohen-Gadol
Journal:  J Neurooncol       Date:  2022-09-05       Impact factor: 4.506

6.  Predictors of Lung Adenocarcinoma With Leptomeningeal Metastases: A 2022 Targeted-Therapy-Assisted molGPA Model.

Authors:  Milan Zhang; Jiayi Tong; Weifeng Ma; Chongliang Luo; Huiqin Liu; Yushu Jiang; Lingzhi Qin; Xiaojuan Wang; Lipin Yuan; Jiewen Zhang; Fuhua Peng; Yong Chen; Wei Li; Ying Jiang
Journal:  Front Oncol       Date:  2022-06-10       Impact factor: 5.738

Review 7.  An Update on the Approach to the Imaging of Brain Tumors.

Authors:  Katherine M Mullen; Raymond Y Huang
Journal:  Curr Neurol Neurosci Rep       Date:  2017-07       Impact factor: 5.081

Review 8.  Current and Future Imaging Methods for Evaluating Response to Immunotherapy in Neuro-Oncology.

Authors:  Benjamin B Kasten; Neha Udayakumar; Jianmei W Leavenworth; Anna M Wu; Suzanne E Lapi; Jonathan E McConathy; Anna G Sorace; Asim K Bag; James M Markert; Jason M Warram
Journal:  Theranostics       Date:  2019-07-09       Impact factor: 11.556

9.  The Longitudinal Imaging Tracker (BrICS-LIT):A Cloud Platform for Monitoring Treatment Response in Glioblastoma Patients.

Authors:  Karthik Ramesh; Saumya S Gurbani; Eric A Mellon; Vicki Huang; Mohammed Goryawala; Peter B Barker; Lawrence Kleinberg; Hui-Kuo G Shu; Hyunsuk Shim; Brent D Weinberg
Journal:  Tomography       Date:  2020-06
  9 in total

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