Literature DB >> 25429625

Preoperative magnetic resonance and intraoperative ultrasound fusion imaging for real-time neuronavigation in brain tumor surgery.

F Prada1, M Del Bene1, L Mattei1, L Lodigiani2, S DeBeni2, V Kolev3, I Vetrano1, L Solbiati4, G Sakas3, F DiMeco1.   

Abstract

PURPOSE: Brain shift and tissue deformation during surgery for intracranial lesions are the main actual limitations of neuro-navigation (NN), which currently relies mainly on preoperative imaging. Ultrasound (US), being a real-time imaging modality, is becoming progressively more widespread during neurosurgical procedures, but most neurosurgeons, trained on axial computed tomography (CT) and magnetic resonance imaging (MRI) slices, lack specific US training and have difficulties recognizing anatomic structures with the same confidence as in preoperative imaging. Therefore real-time intraoperative fusion imaging (FI) between preoperative imaging and intraoperative ultrasound (ioUS) for virtual navigation (VN) is highly desirable. We describe our procedure for real-time navigation during surgery for different cerebral lesions.
MATERIALS AND METHODS: We performed fusion imaging with virtual navigation for patients undergoing surgery for brain lesion removal using an ultrasound-based real-time neuro-navigation system that fuses intraoperative cerebral ultrasound with preoperative MRI and simultaneously displays an MRI slice coplanar to an ioUS image.
RESULTS: 58 patients underwent surgery at our institution for intracranial lesion removal with image guidance using a US system equipped with fusion imaging for neuro-navigation. In all cases the initial (external) registration error obtained by the corresponding anatomical landmark procedure was below 2 mm and the craniotomy was correctly placed. The transdural window gave satisfactory US image quality and the lesion was always detectable and measurable on both axes. Brain shift/deformation correction has been successfully employed in 42 cases to restore the co-registration during surgery. The accuracy of ioUS/MRI fusion/overlapping was confirmed intraoperatively under direct visualization of anatomic landmarks and the error was < 3 mm in all cases (100 %).
CONCLUSION: Neuro-navigation using intraoperative US integrated with preoperative MRI is reliable, accurate and user-friendly. Moreover, the adjustments are very helpful in correcting brain shift and tissue distortion. This integrated system allows true real-time feedback during surgery and is less expensive and time-consuming than other intraoperative imaging techniques, offering high precision and orientation. © Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2014        PMID: 25429625     DOI: 10.1055/s-0034-1385347

Source DB:  PubMed          Journal:  Ultraschall Med        ISSN: 0172-4614            Impact factor:   6.548


  16 in total

1.  Experimental study of sector and linear array ultrasound accuracy and the influence of navigated 3D-reconstruction as compared to MRI in a brain tumor model.

Authors:  Max Siekmann; Thomas Lothes; Ralph König; Christian Rainer Wirtz; Jan Coburger
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-01-24       Impact factor: 2.924

2.  3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation.

Authors:  Marco Riva; Christoph Hennersperger; Fausto Milletari; Amin Katouzian; Federico Pessina; Benjamin Gutierrez-Becker; Antonella Castellano; Nassir Navab; Lorenzo Bello
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-04-08       Impact factor: 2.924

Review 3.  Neurosurgical tools to extend tumor resection in hemispheric low-grade gliomas: conventional and contrast enhanced ultrasonography.

Authors:  Luca Mattei; Francesco Prada; Federico Giuseppe Legnani; Alessandro Perin; Alessandro Olivi; Francesco DiMeco
Journal:  Childs Nerv Syst       Date:  2016-09-20       Impact factor: 1.475

4.  Integrated multi-modality image-guided navigation for neurosurgery: open-source software platform using state-of-the-art clinical hardware.

Authors:  Jonathan Shapey; Thomas Dowrick; Rémi Delaunay; Eleanor C Mackle; Stephen Thompson; Mirek Janatka; Roland Guichard; Anastasis Georgoulas; David Pérez-Suárez; Robert Bradford; Shakeel R Saeed; Sébastien Ourselin; Matthew J Clarkson; Tom Vercauteren
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-05-03       Impact factor: 3.421

Review 5.  From Grey Scale B-Mode to Elastosonography: Multimodal Ultrasound Imaging in Meningioma Surgery-Pictorial Essay and Literature Review.

Authors:  Francesco Prada; Massimiliano Del Bene; Alessandro Moiraghi; Cecilia Casali; Federico Giuseppe Legnani; Andrea Saladino; Alessandro Perin; Ignazio Gaspare Vetrano; Luca Mattei; Carla Richetta; Marco Saini; Francesco DiMeco
Journal:  Biomed Res Int       Date:  2015-05-25       Impact factor: 3.411

Review 6.  Intraoperative neurosonography revisited: effective neuronavigation in pediatric neurosurgery.

Authors:  Jung-Eun Cheon
Journal:  Ultrasonography       Date:  2015-01-16

Review 7.  Intraoperative Fluorescence Imaging for Personalized Brain Tumor Resection: Current State and Future Directions.

Authors:  Evgenii Belykh; Nikolay L Martirosyan; Kaan Yagmurlu; Eric J Miller; Jennifer M Eschbacher; Mohammadhassan Izadyyazdanabadi; Liudmila A Bardonova; Vadim A Byvaltsev; Peter Nakaji; Mark C Preul
Journal:  Front Surg       Date:  2016-10-17

Review 8.  New Hope in Brain Glioma Surgery: The Role of Intraoperative Ultrasound. A Review.

Authors:  Maria Angela Pino; Alessia Imperato; Irene Musca; Rosario Maugeri; Giuseppe Roberto Giammalva; Gabriele Costantino; Francesca Graziano; Francesco Meli; Natale Francaviglia; Domenico Gerardo Iacopino; Alessandro Villa
Journal:  Brain Sci       Date:  2018-11-19

9.  Automatic and efficient MRI-US segmentations for improving intraoperative image fusion in image-guided neurosurgery.

Authors:  J Nitsch; J Klein; P Dammann; K Wrede; O Gembruch; J H Moltz; H Meine; U Sure; R Kikinis; D Miller
Journal:  Neuroimage Clin       Date:  2019-03-12       Impact factor: 4.881

10.  A new application of ultrasound-magnetic resonance multimodal fusion virtual navigation in glioma surgery.

Authors:  Chaofeng Liang; Manting Li; Jin Gong; Baoyu Zhang; Cong Lin; Haiyong He; Ke Zhang; Ying Guo
Journal:  Ann Transl Med       Date:  2019-12
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