2020
DOI: 10.1007/s11060-020-03585-7
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Variations in attitudes towards stereotactic biopsy of adult diffuse midline glioma patients: a survey of members of the AANS/CNS Tumor Section

Abstract: Purpose Diffuse midline gliomas are rare midline CNS malignancies that primarily affect children but can also affect adults. While radiation is standard treatment, prognosis remains fatal. Furthermore, due to its sensitive anatomic location, many physicians have been reluctant to perform biopsies without potential for improved prognosis. However, recent advancements in molecular-targeted therapeutics have encouraged greater tissue sampling. While the literature reflects this progress, the landscape of how clin… Show more

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Cited by 3 publications
(4 citation statements)
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“…Different grades and molecular markers of gliomas have significant impacts on patient survival and treatment. The use of surgery or stereotaxic biopsy to clarify pathology is uncommon for gliomas that grow in midline locations that are surrounded by important functional tissues 18 . Although stereotaxic brain biopsy is the gold standard for histological and genetic classification, pathological diagnoses may remain uncertain in 7%–15% of patients 30 .…”
Section: Discussionmentioning
confidence: 99%
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“…Different grades and molecular markers of gliomas have significant impacts on patient survival and treatment. The use of surgery or stereotaxic biopsy to clarify pathology is uncommon for gliomas that grow in midline locations that are surrounded by important functional tissues 18 . Although stereotaxic brain biopsy is the gold standard for histological and genetic classification, pathological diagnoses may remain uncertain in 7%–15% of patients 30 .…”
Section: Discussionmentioning
confidence: 99%
“…The use of surgery or stereotaxic biopsy to clarify pathology is uncommon for gliomas that grow in midline locations that are surrounded by important functional tissues. 18 Although stereotaxic brain biopsy is the gold standard for histological and genetic classification, pathological diagnoses may remain uncertain in 7%–15% of patients. 30 In recent years, owing to the increased capacity of computing power, the wider range of data, and the availability of better models and algorithms, deep learning has developed significantly.…”
Section: Discussionmentioning
confidence: 99%
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