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Smartbrush

Manufactured by Brainlab
Sourced in Germany

SmartBrush is a surgical planning and navigation system designed for neurosurgical procedures. It provides real-time visualization of patient anatomy during surgery, allowing for precise and accurate targeting of treatment areas.

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7 protocols using smartbrush

1

3D Tumor Segmentation Protocol

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Tumors were manually segmented in 3D by trained raters using an initiation by either a region growing algorithm [26 (link)] (Brainlab SmartBrush, BrainLAB AG, Münich, Germany) or a grow cut algorithm [49 ] (3D Slicer, http://www.slicer.org, accessed on 3 June 2021) and subsequent manual editing. Trained raters were supervised by neuroradiologists and neurosurgeons. The tumor was defined as gadolinium-enhancing tissue on T1-weighted scans, including nonenhancing enclosed necrosis or cysts.
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2

MRI-Based Tumor Volume Assessment for Radiation Planning

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As part of the clinical routine, all patients received MRI scans for radiation treatment planning (median time between PET and MRI, 12 d). In all cases of tumor resection, only postoperative images were used. Axial T1-weighted sequences before and after intravenous injection of 0.1 mmol/kg gadobenate dimeglumine contrast agent (MultiHance; BraccoImaging) were analyzed to measure the total contrast-enhancing tumor, and T2 or fluid-attenuated inversion recovery (FLAIR) sequences were used to measure non–contrast-enhancing tumors. Tumor volumes were manually delineated as defined by the Advisory Committee for Radiation Oncology Practice of the European Society for Radiotherapy and Oncology guidelines using the institutional imaging software (BrainLab Smartbrush; BrainLab) (9 (link)). In cases of multifocal disease, each focus was quantified separately and summed together. In patients undergoing microsurgical tumor resection before radiotherapy, we ensured that postoperative T2 or FLAIR abnormalities were not surgically induced edema or ischemia by reviewing diffusion-weighted imaging sequences.
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3

Cystic Craniopharyngioma MRI Volumetric Analysis

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According to our standard in-house protocol, the magnetic resonance imaging (MRI) (1.5- or 3.0-T scanners: Magnetom Symphony, Siemens, Erlangen; Signa HDxt; GE Healthcare, Little Chalfont, United Kingdom) routinely included axial T2-weighted sequence (with slice thickness of 2 mm), 3-dimensional T1-weighted sequences before and after intravenous administration of gadopentetate dimeglumine (0.1 mmol/kg body weight; Magnevist; Schering Corporation, Kenilworth, NJ), and constructive interference in steady-state sequences (CISS, with slice thickness of 1 mm), with axial, sagittal and coronal reconstructions each. Volumetric tumor analyses of pre- and post-operative MR images were performed by semi-manual segmentation of pre- and post-operative T2/CISS and contrast-enhanced (CE) T1 images and using a commercially available software tool (SmartBrush®, Elements®, BRAINLAB AG, Munich, Germany). For study inclusion, only craniopharyngiomas with at least 70% cystic tumor volume were included. This results in a relevant solid tumor fraction of about 10-30% of the tumor volume.
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4

Volumetric Analysis of Tumor Resection

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Volumetric analysis of all cases was performed using Brainlab Smart Brush, a web-based software that calculates tumor volume based on 3D reconstructions of the tumor. For patients who had undergone tumor resection, volumetric analysis of their most recent preoperative scans and immediate postoperative scans was performed to determine EOR. The EOR was defined as (preoperative tumor volumepostoperative residual tumor volume)/ preoperative total tumor volume. All volumetric analyses were performed on postgadolinium T1-weighted MRI studies. The T1-weighted images were used to ensure that the blood products and postoperative changes were not considered as residual tumor on postoperative scans.
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5

Calculating Brain Infusate Volume Distribution

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The infusate Vd within the brain was determined using commercial image analysis software (BrainLab). A threshold pixel value was determined for the galbumin signal, with signal above the threshold semi-automatically segmented (iPlan, Smartbrush, BrainLab).14 (link),24 (link) The Vd could be calculated from the galbumin-segmented image mask at any given timepoint by correlating time-stamped MR images with time-registered Vi and infusion rates. Target coverage (T) and infusate containment (C) were calculated using published criteria.24 (link)
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6

Preoperative MRI Tractography for Tumor Resection

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Gadolinium MRI data were acquired with a General Electric Signa Excite HDXT scanner (1.5T GE Healthcare, Milwaukee, WI, USA). For each patient, a presurgical brain magnetic resonance imaging (MRI) image was acquired with diffusion tensor imaging (DTI) of 140 T1 slices (1 mm thick) without GAP. After obtaining the images, they were merged and processed with the help of the neuronavigation system (Kick, Curve TM and SmartBrush, BrainLab, Munich, Germany). Information regarding white matter tracts was processed, preventing potential damage during the approach and/or resection. According to the location of the tumor, the following tracts were considered for reconstruction: Aslant’s tract, superior longitudinal fasciculus (SLF), arcuate fasciculus, inferior longitudinal fasciculus (ILF), uncinate fasciculus (UF), geniculo-calcarine fasciculus (GCT), corticospinal tract (CST) and thalamocortical tract. A Gadolinium MRI scan and a CT with contrast were performed 24–48 h postoperatively in each case.
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7

Measuring Tumor Volume and Extent of Resection

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To measure tumor volume on preoperative MRI and residual volume on ioMRI and postoperative MRI, contrast-enhancing tumor volume was delineated using a semiautomatic contouring tool (SmartBrush, version 3.0.0.92, Brainlab AG, Munich, Germany). In few selected cases of lesions showing only minor contrast enhancement, additional sequences on MRI and PET (positron emission tomography) imaging were reviewed for tumor volume delineation. In addition, the EOR was calculated, and cases were divided into GTR and subtotal resection (STR), with GTR being defined as EOR ≥ 95% [5 (link),26 (link)].
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