Literature DB >> 23334280

The silent loss of neuronavigation accuracy: a systematic retrospective analysis of factors influencing the mismatch of frameless stereotactic systems in cranial neurosurgery.

Lennart Henning Stieglitz1, Jens Fichtner, Robert Andres, Philippe Schucht, Ann-Kathrin Krähenbühl, Andreas Raabe, Jürgen Beck.   

Abstract

BACKGROUND: Neuronavigation has become an intrinsic part of preoperative surgical planning and surgical procedures. However, many surgeons have the impression that accuracy decreases during surgery.
OBJECTIVE: To quantify the decrease of neuronavigation accuracy and identify possible origins, we performed a retrospective quality-control study.
METHODS: Between April and July 2011, a neuronavigation system was used in conjunction with a specially prepared head holder in 55 consecutive patients. Two different neuronavigation systems were investigated separately. Coregistration was performed with laser-surface matching, paired-point matching using skin fiducials, anatomic landmarks, or bone screws. The initial target registration error (TRE1) was measured using the nasion as the anatomic landmark. Then, after draping and during surgery, the accuracy was checked at predefined procedural landmark steps (Mayfield measurement point and bone measurement point), and deviations were recorded.
RESULTS: After initial coregistration, the mean (SD) TRE1 was 2.9 (3.3) mm. The TRE1 was significantly dependent on patient positioning, lesion localization, type of neuroimaging, and coregistration method. The following procedures decreased neuronavigation accuracy: attachment of surgical drapes (DTRE2 = 2.7 [1.7] mm), skin retractor attachment (DTRE3 = 1.2 [1.0] mm), craniotomy (DTRE3 = 1.0 [1.4] mm), and Halo ring installation (DTRE3 = 0.5 [0.5] mm). Surgery duration was a significant factor also; the overall DTRE was 1.3 [1.5] mm after 30 minutes and increased to 4.4 [1.8] mm after 5.5 hours of surgery.
CONCLUSION: After registration, there is an ongoing loss of neuronavigation accuracy. The major factors were draping, attachment of skin retractors, and duration of surgery. Surgeons should be aware of this silent loss of accuracy when using neuronavigation.

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Mesh:

Year:  2013        PMID: 23334280     DOI: 10.1227/NEU.0b013e318287072d

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


  25 in total

1.  Pre-operative image-based segmentation of the cranial nerves and blood vessels in microvascular decompression: Can we prevent unnecessary explorations?

Authors:  Parviz Dolati; Alexandra Golby; Daniel Eichberg; Mohamad Abolfotoh; Ian F Dunn; Srinivasan Mukundan; Mohamed M Hulou; Ossama Al-Mefty
Journal:  Clin Neurol Neurosurg       Date:  2015-10-13       Impact factor: 1.876

2.  Fusion imaging for intra-operative ultrasound-based navigation in neurosurgery.

Authors:  Francesco Prada; Massimiliano Del Bene; Luca Mattei; Cecilia Casali; Assunta Filippini; Federico Legnani; Antonella Mangraviti; Andrea Saladino; Alessandro Perin; Carla Richetta; Ignazio Vetrano; Alessandro Moiraghi; Marco Saini; Francesco DiMeco
Journal:  J Ultrasound       Date:  2014-06-24

3.  A multi-subject accuracy study on granular jamming for non-invasive attachment of fiducial markers to patients.

Authors:  Patrick S Wellborn; Paul T Russell; Robert J Webster Iii
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-07-10       Impact factor: 2.924

4.  Multimodal Navigation in Endoscopic Transsphenoidal Resection of Pituitary Tumors Using Image-Based Vascular and Cranial Nerve Segmentation: A Prospective Validation Study.

Authors:  Parviz Dolati; Daniel Eichberg; Alexandra Golby; Amir Zamani; Edward Laws
Journal:  World Neurosurg       Date:  2016-06-11       Impact factor: 2.104

Review 5.  IBIS: an OR ready open-source platform for image-guided neurosurgery.

Authors:  Simon Drouin; Anna Kochanowska; Marta Kersten-Oertel; Ian J Gerard; Rina Zelmann; Dante De Nigris; Silvain Bériault; Tal Arbel; Denis Sirhan; Abbas F Sadikot; Jeffery A Hall; David S Sinclair; Kevin Petrecca; Rolando F DelMaestro; D Louis Collins
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-08-31       Impact factor: 2.924

6.  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

7.  Coffee: the key to safer image-guided surgery-a granular jamming cap for non-invasive, rigid fixation of fiducial markers to the patient.

Authors:  Patrick S Wellborn; Neal P Dillon; Paul T Russell; Robert J Webster
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-03-30       Impact factor: 2.924

Review 8.  Functional MRI for Surgery of Gliomas.

Authors:  Antonella Castellano; Sara Cirillo; Lorenzo Bello; Marco Riva; Andrea Falini
Journal:  Curr Treat Options Neurol       Date:  2017-08-23       Impact factor: 3.598

9.  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

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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