Discussion on: Diagnostic Accuracy of Radiomics and Deep Learning for Differentiating Pseudoprogression from True Tumour Recurrence in Glioblastoma: A Systematic Review and Meta-analysis

Discussion: Scholarly discussion on any scientific article is very important for the advancement of science. We strongly suggest all readers and authors to participate in such activities. Comment posting facility is available at the end of this page. Comment should meet the minimum standard of scientific discussion. Personal communication, personal attack, abusive language, etc are not allowed and comments will be moderated.

Article Title

Diagnostic Accuracy of Radiomics and Deep Learning for Differentiating Pseudoprogression from True Tumour Recurrence in Glioblastoma: A Systematic Review and Meta-analysis

Authored by

Isabela Sacco Camara
Department of Medicine, Metropolitan University of Santos (UNIMES), Santos, São Paulo, Brazil.

Aline Pelosini Gomes
Department of Medicine, Metropolitan University of Santos (UNIMES), Santos, São Paulo, Brazil.

Olívia Voelzke Passarin
Department of Medicine, Metropolitan University of Santos (UNIMES), Santos, São Paulo, Brazil.

Amanda Scaff Mendes
Department of Medicine, Metropolitan University of Santos (UNIMES), Santos, São Paulo, Brazil.

Kalil Sallum Haddad Dib
Department of Medicine, Metropolitan University of Santos (UNIMES), Santos, São Paulo, Brazil.

Juliano dos Santos
Oncology, National Cancer Institute (INCA), Rio de Janeiro, Brazil.

DOI or Article Link

https://doi.org/10.9734/irjo/2026/v9i2213

Leave a Comment