Literature DB >> 22843134

Brain tumor surgery with 3-dimensional surface navigation.

Ayguel Mert1, Katja Buehler, Garnette R Sutherland, Boguslaw Tomanek, Georg Widhalm, Gregor Kasprian, Engelbert Knosp, Stefan Wolfsberger.   

Abstract

BACKGROUND: Precise lesion localization is necessary for neurosurgical procedures not only during the operative approach, but also during the preoperative planning phase.
OBJECTIVE: To evaluate the advantages of 3-dimensional (3-D) brain surface visualization over conventional 2-dimensional (2-D) magnetic resonance images for surgical planning and intraoperative guidance in brain tumor surgery.
METHODS: Preoperative 3-D brain surface visualization was performed with neurosurgical planning software in 77 cases (58 gliomas, 7 cavernomas, 6 meningiomas, and 6 metastasis). Direct intraoperative navigation on the 3-D brain surface was additionally performed in the last 20 cases with a neurosurgical navigation system. For brain surface reconstruction, patient-specific anatomy was obtained from MR imaging and brain volume was extracted with skull stripping or watershed algorithms, respectively. Three-dimensional visualization was performed by direct volume rendering in both systems. To assess the value of 3-D brain surface visualization for topographic lesion localization, a multiple-choice test was developed. To assess accuracy and reliability of 3-D brain surface visualization for intraoperative orientation, we topographically correlated superficial vessels and gyral anatomy on 3-D brain models with intraoperative images.
RESULTS: The rate of correct lesion localization with 3-D was significantly higher (P = .001, χ), while being significantly less time consuming (P < .001, χ) compared with 2-D images. Intraoperatively, visual correlation was found between the 3-D images, superficial vessels, and gyral anatomy.
CONCLUSION: The proposed method of 3-D brain surface visualization is fast, clinically reliable for preoperative anatomic lesion localization and patient-specific planning, and, together with navigation, improves intraoperative orientation in brain tumor surgery and is relatively independent of brain shift.

Entities:  

Mesh:

Year:  2012        PMID: 22843134     DOI: 10.1227/NEU.0b013e31826a8a75

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  10 in total

1.  Additive value of 320-section low-dose dynamic volume CT in relation to 3-T MRI for the preoperative evaluation of brain tumors.

Authors:  Eri Hayashida; Toshinori Hirai; Hideo Nakamura; Masafumi Kidoh; Minako Azuma; Yasuhiko Iryo; Mika Kitajima; Seitaro Oda; Daisuke Utsunomiya; Takeshi Nakaura; Yasuyuki Yamashita
Journal:  Jpn J Radiol       Date:  2016-08-26       Impact factor: 2.374

Review 2.  Neurosurgical Virtual Reality Simulation for Brain Tumor Using High-definition Computer Graphics: A Review of the Literature.

Authors:  Taichi Kin; Hirofumi Nakatomi; Naoyuki Shono; Seiji Nomura; Toki Saito; Hiroshi Oyama; Nobuhito Saito
Journal:  Neurol Med Chir (Tokyo)       Date:  2017-06-22       Impact factor: 1.742

3.  An ioMRI-assisted case of cervical intramedullary diffuse glioma resection.

Authors:  Zafer Orkun Toktas; Baran Yilmaz; Murat Şakir Ekşi; Lei Wang; Akin Akakin; Yasin Yener; Murat Konakcı; Emre Ayan; Turker Kılıc; Deniz Konya; Yang D Teng
Journal:  Cancer Manag Res       Date:  2018-10-17       Impact factor: 3.989

4.  Cerebral Anatomy Detection and Surgical Planning in Patients with Anterior Skull Base Meningiomas Using a Virtual Reality Technique.

Authors:  Samer Zawy Alsofy; Makoto Nakamura; Ayman Suleiman; Ioanna Sakellaropoulou; Heinz Welzel Saravia; David Shalamberidze; Asem Salma; Ralf Stroop
Journal:  J Clin Med       Date:  2021-02-10       Impact factor: 4.241

5.  Virtual Reality in the Preoperative Planning of Adult Aortic Surgery: A Feasibility Study.

Authors:  Djamila Abjigitova; Amir H Sadeghi; Jette J Peek; Jos A Bekkers; Ad J J C Bogers; Edris A F Mahtab
Journal:  J Cardiovasc Dev Dis       Date:  2022-01-18

Review 6.  The Art of Intraoperative Glioma Identification.

Authors:  Zoe Z Zhang; Lisa B E Shields; David A Sun; Yi Ping Zhang; Matthew A Hunt; Christopher B Shields
Journal:  Front Oncol       Date:  2015-07-30       Impact factor: 6.244

Review 7.  Computer-assisted surgical planning and intraoperative guidance in fetal surgery: a systematic review.

Authors:  Rosalind Pratt; Jan Deprest; Tom Vercauteren; Sebastien Ourselin; Anna L David
Journal:  Prenat Diagn       Date:  2015-09-16       Impact factor: 3.050

Review 8.  Recent Development of Augmented Reality in Surgery: A Review.

Authors:  P Vávra; J Roman; P Zonča; P Ihnát; M Němec; J Kumar; N Habib; A El-Gendi
Journal:  J Healthc Eng       Date:  2017-08-21       Impact factor: 2.682

Review 9.  OsiriX software as a preoperative planning tool in cranial neurosurgery: A step-by-step guide for neurosurgical residents.

Authors:  Toma Spiriev; Vladimir Nakov; Lili Laleva; Christo Tzekov
Journal:  Surg Neurol Int       Date:  2017-10-10

10.  Deep Learning for Automated Delineation of Pediatric Cerebral Arteries on Pre-operative Brain Magnetic Resonance Imaging.

Authors:  Jennifer L Quon; Leo C Chen; Lily Kim; Gerald A Grant; Michael S B Edwards; Samuel H Cheshier; Kristen W Yeom
Journal:  Front Surg       Date:  2020-10-26
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.