Evolution and implementation of radiographic response criteria in neuro-oncology

Author:

Ramakrishnan Divya1ORCID,von Reppert Marc1,Krycia Mark1,Sala Matthew12,Mueller Sabine3,Aneja Sanjay1,Nabavizadeh Ali4ORCID,Galldiks Norbert567ORCID,Lohmann Philipp8ORCID,Raji Cyrus9,Ikuta Ichiro10,Memon Fatima1,Weinberg Brent D11,Aboian Mariam S1ORCID

Affiliation:

1. Department of Radiology and Biomedical Imaging, Yale School of Medicine , New Haven, Connecticut , USA

2. Tulane University School of Medicine , New Orleans, Louisiana , USA

3. Department of Neurology, Neurosurgery, and Pediatrics, University of California San Francisco , San Francisco, California , USA

4. Department of Radiology, University of Pennsylvania School of Medicine , Philadelphia, Pennsylvania , USA

5. Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne , Cologne , Germany

6. Institute of Neuroscience and Medicine (INM-3), Research Center Juelich , Juelich , Germany

7. Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf , Cologne , Germany

8. Institute of Neuroscience and Medicine (INM-4), Research Center Juelich , Juelich , Germany

9. Department of Radiology, Washington University in St. Louis School of Medicine , St. Louis, Missouri , USA

10. Department of Radiology, Mayo Clinic , Phoenix, Arizona , USA

11. Department of Radiology, Emory University School of Medicine , Atlanta, Georgia , USA

Abstract

Abstract Radiographic response assessment in neuro-oncology is critical in clinical practice and trials. Conventional criteria, such as the MacDonald and response assessment in neuro-oncology (RANO) criteria, rely on bidimensional (2D) measurements of a single tumor cross-section. Although RANO criteria are established for response assessment in clinical trials, there is a critical need to address the complexity of brain tumor treatment response with multiple new approaches being proposed. These include volumetric analysis of tumor compartments, structured MRI reporting systems like the Brain Tumor Reporting and Data System, and standardized approaches to advanced imaging techniques to distinguish tumor response from treatment effects. In this review, we discuss the strengths and limitations of different neuro-oncology response criteria and summarize current research findings on the role of novel response methods in neuro-oncology clinical trials and practice.

Funder

NCATS foundation

Publisher

Oxford University Press (OUP)

Subject

Surgery,Oncology,Neurology (clinical)

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