Fully automated segmentation of the corticospinal tract using the TractSeg algorithm in patients with brain tumors

Tractography has been used to define the presurgical location of white matter tracts, but this is subjective and time-intensive, making incorporation to imaging workflow at scale problematic. The objective is to validate a fully automated pipeline using the TractSeg algorithm (Wasserthal et al. Neur...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Clinical neurology and neurosurgery Ročník 210; s. 107001
Hlavní autoři: Richards, Tyler J., Anderson, Keri L., Anderson, Jeffrey S.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Netherlands Elsevier B.V 01.11.2021
Elsevier Limited
Témata:
Adult
Aged
Algorithms
Automated
Automation
Brain
Brain cancer
Brain Neoplasms - diagnostic imaging
Brain Neoplasms - surgery
Brain tumors
Corticospinal
Diffusion Tensor Imaging - methods
Female
Humans
Magnetic Resonance Imaging - methods
Male
Methods
Middle Aged
Neuroimaging
Neurology
Neurosurgery
Patients
Performance evaluation
Planning
Pons
Pyramidal tracts
Pyramidal Tracts - diagnostic imaging
Pyramidal Tracts - surgery
Retrospective Studies
Segmentation
Software
Substantia alba
Tractography
Tumor
Tumors
Young Adult
Germany
Brain
Tumor
Automated
Tractography
Corticospinal
ISSN:0303-8467, 1872-6968, 1872-6968
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Tractography has been used to define the presurgical location of white matter tracts, but this is subjective and time-intensive, making incorporation to imaging workflow at scale problematic. The objective is to validate a fully automated pipeline using the TractSeg algorithm (Wasserthal et al. NeuroImage 2018;183:239–253) to segment the corticospinal tract in patients with brain tumors adjacent to the corticospinal tract. The process of importing a structural MPRAGE sequence and raw diffusion weighted images from PACS, executing the TractSeg algorithm, overlaying the resulting bilateral corticospinal tracts on the MPRAGE image, and exporting this composite image to PACS was automated. This procedure was used to segment the corticospinal tract in 28 patients with brain masses adjacent to or displacing the corticospinal tract. These segmentations were compared with both manual deterministic tractography performed with DSI Studio using seeds placed in the pons and an automated tractography method in DSI Studio. The automated algorithm was able to segment the bilateral corticospinal tracts in all 28 patients whereas the manual reference method and DSI Studio based automated tractography were unsuccessful in 2 and 1 patients, respectively. In all cases, the TractSeg segmentations very closely matched the manual segmentations. Also, TractSeg appeared to include larger portions of the lateral corticospinal tract fibers than the other 2 methods. The TractSeg algorithm demonstrated robust performance in segmenting the corticospinal tract in patients with brain tumors adjacent to this tract. The algorithm is fast to perform and has great potential for optimizing and streamlining neurosurgical planning. •Fully automated pipeline using TractSeg algorithm performs tractography in minutes.•TractSeg able to segment corticospinal tract even when displaced by brain tumor.•TractSeg algorithm more often successful than manual tractography in brain tumors.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:0303-8467
1872-6968
1872-6968
DOI:10.1016/j.clineuro.2021.107001