Artificial intelligence algorithms for differentiating pseudoprogression from true progression in high-grade gliomas: A systematic review and meta-analysis.

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Bibliographic Details
Title: Artificial intelligence algorithms for differentiating pseudoprogression from true progression in high-grade gliomas: A systematic review and meta-analysis.
Authors: Palavani LB; Max Planck University Center, Indaiatuba, Brazil., Nogueira BV; Serra Dos Órgãos University Center, Teresópolis, Brazil., Mitre LP; Santa Casa de São Paulo School of Medical Sciences, São Paulo, Brazil., Chen HC; Department of Neurosurgery, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan.; PhD Program in Medical Neuroscience, College of Medical Science and Technology, Taipei Medical University and National Health Research Institutes, Taipei, Taiwan., Müller GC; University of Caxias do Sul, Caxias do Sul, Brazil. geanmuller01@gmail.com., Vilardo M; Catholic University of Brasília, Taguatinga Sul, Brazil., Pereira VG; Rio de Janeiro State University, Rio de Janeiro, Brazil., Paleare LFF; Pontifical Catholic University of Paraná, Curitiba, Brazil., Ribeiro FV; Faculty of Medicine, Barão de Mauá University Center, Ribeirão Preto, Brazil., Araujo AAS; Federal University of Rio Grande do Sul, Porto Alegre, Brazil., Ferreira MY; Department of Neurosurgery, Lenox Hill Hospital/Northwell Health, New York, NY, USA., Varre H; SVS Medical College, Moahbubnagar, India., Ferreira C; Department of Neurosurgery, Phelps Hospital/Northwell Health, New York, NY, USA., Paiva WS; Department of Neurosurgery, University of São Paulo, São Paulo, Brazil., Bertani R; Department of Neurosurgery, University of São Paulo, São Paulo, Brazil., D Amico RS; Department of Neurosurgery, Lenox Hill Hospital/Northwell Health, New York, NY, USA., Neville IS; Department of Neurosurgery, University of São Paulo, São Paulo, Brazil.; Instituto do Câncer do Estado de São Paulo - Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Source: Neurosurgical review [Neurosurg Rev] 2025 Aug 06; Vol. 48 (1), pp. 591. Date of Electronic Publication: 2025 Aug 06.
Publication Type: Journal Article; Meta-Analysis; Systematic Review
Journal Info: Publisher: Springer Berlin Heidelberg Country of Publication: Germany NLM ID: 7908181 Publication Model: Electronic Cited Medium: Internet ISSN: 1437-2320 (Electronic) Linking ISSN: 03445607 NLM ISO Abbreviation: Neurosurg Rev Subsets: MEDLINE
Database: MEDLINE Ultimate
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