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Stereotactic and Functional Neurosurgery pp 93–99Cite as

Impact of Automated Hotspot Detection for 18FET PET-Guided Stereotactic Biopsy

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Part of the book series: Acta Neurochirurgica Supplement ((NEUROCHIRURGICA,volume 117))

Abstract

Objective: The aim of this study was to explore the impact of automated hotspot detection on surgical planning of 18FET PET-guided stereotactic serial biopsy.

Method: Imaging of ten patients with brain lesions detected by MRI and showing increased 18FET uptake on PET who were retrospectively and randomly assigned to compose the study. Stereotactic biopsy plans (PET-guided and MR-guided) were performed by two neurosurgeons for each patient, independently and blinded. For PET-guided plans, biopsy target was achieved by means of an automated hotspot detection system. MR-guided plans targeted contrast enhancement areas or hyperintense areas in T2-weighted sequences. FET uptake ratio (UR) was determined in the biopsy trajectory across the lesion. Highest UR (HUR) from both planning techniques was compared.

Results: Each single HUR obtained through PET-guided technique was higher than correspondent values from MR-guided technique. Mean HUR of 2.41 (SE ± 0.23) for PET-guided plans and 1.85 (±0.16) for MR-guided plans were respectively obtained. This difference was statistically significant (p = 0.002).

Conclusion: The use of an automated hotspot detection system was able to provide higher FET HUR along stereotactic biopsy trajectories in comparison to those from MR-guided plans. The use of specially designed computational tools may refine surgical planning by improving biopsy targeting.

Thomas Reithmeier and Joacir Cordeiro contributed equally to the work described in this manuscript

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Acknowledgments

This work was financially supported by a grant from Inomed, Emmendingen, Germany. Authors would like to thank Dr. Graf from the Department of Statistics of the University of Freiburg for the support in the statistical analysis.

Conflict of InterestCordeiro JG was financially supported by Inomed to perform systematic evaluation of computational tools developed for the neurosurgical practice. We confirm that we have read the Journal’s position on issues involved in ethical publication, and affirm that this report is consistent with those guidelines.

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Authors and Affiliations

  1. Division of Stereotactic and Functional Neurosurgery, Department of Neurosurgery, Neurosurgical Clinic, University Medical Center Freiburg, Breisacher Straße 64, Freiburg, D-79106, Germany

    Thomas Reithmeier MD, Joacir Cordeiro & Michael Trippel MD

  2. Department of Nuclear Medicine, University Medical Center Freiburg, Freiburg, Germany

    Michael Mix & Christoph Rottenburger

  3. Division of Stereotactic and Functional Neurosurgery, Department of General Neurosurgery, Neurosurgical Clinic, University Medical Center Freiburg, Breisacher Straße 64, Freiburg, D-79106, Germany

    Guido Nikkhah MD, PhD

  4. Neurosurgical Clinic, University Hospital Erlangen, Schwabachanlage 6, Erlangen, D-91054, Germany

    Guido Nikkhah MD, PhD

Authors
  1. Thomas Reithmeier MD
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  2. Joacir Cordeiro
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  3. Michael Mix
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  4. Michael Trippel MD
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  5. Christoph Rottenburger
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  6. Guido Nikkhah MD, PhD
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Corresponding author

Correspondence to Thomas Reithmeier MD .

Editor information

Editors and Affiliations

  1. , Neurosurgical Clinic, University Hospital Erlangen, Schwabachanlage 6, Erlangen, 91054, Germany

    Guido Nikkhah

  2. Department of Neurosurgery, Division of Stereotactic and Functional, University Medical Center Freiburg, Breisacher Straße 64, Freiburg, 79106, Germany

    Marcus Pinsker

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© 2013 Springer-Verlag Wien

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Reithmeier, T., Cordeiro, J., Mix, M., Trippel, M., Rottenburger, C., Nikkhah, G. (2013). Impact of Automated Hotspot Detection for 18FET PET-Guided Stereotactic Biopsy. In: Nikkhah, G., Pinsker, M. (eds) Stereotactic and Functional Neurosurgery. Acta Neurochirurgica Supplement, vol 117. Springer, Vienna. https://doi.org/10.1007/978-3-7091-1482-7_15

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  • DOI: https://doi.org/10.1007/978-3-7091-1482-7_15

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  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-1481-0

  • Online ISBN: 978-3-7091-1482-7

  • eBook Packages: MedicineMedicine (R0)

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