Volumetric segmentation in the context of posterior fossa-related pathologies: a systematic review Article Swipe
Andrew J. Kobets
,
Seyed Ahmad Naseri Alavi
,
Samuel Ahmad
,
Ashley Castillo
,
Dejauwne L. Young
,
Aurelia Minuti
,
David Altschul
,
Michael X. Zhu
,
Rick Abbott
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s10143-024-02366-4
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s10143-024-02366-4
Background Segmentation tools continue to advance, evolving from manual contouring to deep learning. Researchers have utilized segmentation to study a myriad of posterior fossa-related conditions, such as Chiari malformation, trigeminal neuralgia, post-operative pediatric cerebellar mutism syndrome, and Crouzon syndrome. Herein, we present a summary of the current literature on segmentation of the posterior fossa. The review highlights the various segmentation techniques, and their respective strengths and weaknesses, employed along with objectives and outcomes of the various studies reported in the literature. Methods A literature search was conducted in PubMed, Embase, Cochrane, and Web of Science up to November 2023 for articles on segmentation techniques of posterior fossa. The two senior authors searched through databases based on the keywords of the article separately and then enrolled joint articles that met the inclusion and exclusion criteria. Results The initial search identified 2205 articles. After applying inclusion and exclusion criteria, 77 articles were selected for full-text review after screening of titles/abstracts. 52 articles were ultimately included in the review. Segmentation techniques included manual, semi-automated, and fully automated (atlas-based, convolutional neural networks). The most common pathology investigated was Chiari malformation. Conclusions Various forms of segmentation techniques have been used to assess posterior fossa volumes/pathologies and each has its advantages and disadvantages. We discuss these nuances and summarize the current state of literature in the context of posterior fossa-associated pathologies.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1007/s10143-024-02366-4
- https://link.springer.com/content/pdf/10.1007/s10143-024-02366-4.pdf
- OA Status
- hybrid
- Cited By
- 4
- References
- 78
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394960515
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4394960515Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s10143-024-02366-4Digital Object Identifier
- Title
-
Volumetric segmentation in the context of posterior fossa-related pathologies: a systematic reviewWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-19Full publication date if available
- Authors
-
Andrew J. Kobets, Seyed Ahmad Naseri Alavi, Samuel Ahmad, Ashley Castillo, Dejauwne L. Young, Aurelia Minuti, David Altschul, Michael X. Zhu, Rick AbbottList of authors in order
- Landing page
-
https://doi.org/10.1007/s10143-024-02366-4Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s10143-024-02366-4.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://link.springer.com/content/pdf/10.1007/s10143-024-02366-4.pdfDirect OA link when available
- Concepts
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Medicine, Segmentation, Context (archaeology), Posterior fossa, Radiology, Artificial intelligence, Computer science, Paleontology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 1Per-year citation counts (last 5 years)
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78Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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