Adult brainstem glioma differential diagnoses: an MRI-based approach in a series of 68 patients

Durán-Peña, Alberto; Ducray, François; Ramirez, Carole; Bauchet, Luc; Constans, Jean-Marc; Grand, Sylvie; Guillamo, J.S.; Larrieu‐Ciron, Delphine; Frappaz, Didier; Pyatigorskaya, Nadya; Savatovsky, Julien; Loiseau, Hugues; Duverneuil, Nadine Martin; Laigle‐Donadey, Florence

doi:10.1007/s00415-022-11070-6

Cited by 4 publications

(1 citation statement)

References 31 publications

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“…Duran-Peña et al have proposed a methodology for diagnosing HGG of the brainstem where the execution of a biopsy involves multiple and serious risks since it is the anatomical structure most involved in vital functions. They provided an algorithm illustrating the diagnostic process to limit the use of biopsy in this area to only essential and reasonably practicable cases [30].…”

Section: Clinical Studiesmentioning

confidence: 99%

Advancements in Image-Based Models for High-Grade Gliomas Might Be Accelerated

Frosina

2024

Cancers

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The first half of 2022 saw the publication of several major research advances in image-based models and artificial intelligence applications to optimize treatment strategies for high-grade gliomas, the deadliest brain tumors. We review them and discuss the barriers that delay their entry into clinical practice; particularly, the small sample size and the heterogeneity of the study designs and methodologies used. We will also write about the poor and late palliation that patients suffering from high-grade glioma can count on at the end of life, as well as the current legislative instruments, with particular reference to Italy. We suggest measures to accelerate the gradual progress in image-based models and end of life care for patients with high-grade glioma.

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Section: Clinical Studiesmentioning

confidence: 99%