2022
DOI: 10.3389/fonc.2021.733088
|View full text |Cite
|
Sign up to set email alerts
|

Intraoperative Magnetic Resonance Imaging Assisted Endoscopic Endonasal Resection of Clival Chordomas

Abstract: BackgroundCranial base chordomas are typically indolent and usually appear as encapsulated tumors. They slowly grow by infiltrating the bone, along with the lines of least resistance. Due to its relationship with important neurovascular structures, skull base chordoma surgery is challenging.ObjectiveThe usefulness of intraoperative magnetic resonance imaging (IO-MRI) in achieving the goal of surgery, is evaluated in this study.MethodsBetween March 2018 and March 2020, 42 patients were operated on for resection… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 22 publications
0
1
0
Order By: Relevance
“…However, the invasive nature of chordomas and the close relationship of clival tumors to the brainstem and other critical deep structures complicates resection. Several image guidance adjuncts are available for endoscopic endonasal resection of chordomas, including stereotactic neuronavigation, intraoperative ultrasound, intraoperative MRI, and intraoperative CT (2,3). Intraoperative MRI and CT increase the accuracy of resection through real-time imaging.…”
Section: Introductionmentioning
confidence: 99%
“…However, the invasive nature of chordomas and the close relationship of clival tumors to the brainstem and other critical deep structures complicates resection. Several image guidance adjuncts are available for endoscopic endonasal resection of chordomas, including stereotactic neuronavigation, intraoperative ultrasound, intraoperative MRI, and intraoperative CT (2,3). Intraoperative MRI and CT increase the accuracy of resection through real-time imaging.…”
Section: Introductionmentioning
confidence: 99%