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Iplan cmf 3

Manufactured by Brainlab
Sourced in Germany

IPlan CMF 3.0 is a software tool designed for preoperative planning and visualization of cranio-maxillofacial procedures. The software provides 3D reconstruction and analysis capabilities based on medical imaging data.

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5 protocols using iplan cmf 3

1

Navigated Craniofacial Surgery Utilizing CT Data

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All pre- and postoperative imaging data were obtained (Brilliance CT: 1.0 mm slice thickness, Bright Speed 16, Philips, Netherlands), and then the data were transferred into the Brainlab iPlan CMF 3.0 software (Brainlab, Heimstetten, Germany). With the mirroring tool, the affected side was moved to the target area guided by the healthy side. The Brainlab Vector Vision 2 navigation system (Brainlab, Munich, Germany) was used to assist the operation in the experimental group. Brainlab iPlan CMF 3.0 software and Geomagic Studio 11 software were used to analyse the imaging data.
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2

Semi-Automatic Orbital Cavity Segmentation

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As the shape model, generated already for the former publications (Fuessinger et al., 2018 (link), 2019 (link); Semper‐Hogg et al., 2017 (link)), was originally based on threshold‐segmented image labels, those had to be amended in order to allow capturing the shape of the orbital floor more accurately. Therefore, the orbital cavities in all 131 patients, contributing to the shape model, had to be segmented semi‐automatically, using the software iPlan CMF 3.0 (Brainlab, Feldkirchen, Germany). While the software allows for an automatic atlas segmentation of the human cranium, it often fails to correctly segment the inferior and medial walls of the orbital cavity due to the weak and ambiguous signal regarding the grey value distribution in this area. Those errors were corrected manually by trained surgeons and the shape in the reference population was updated accordingly, leading to a shape model where the variability of the orbital cavities is adequately represented.
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3

Maxillectomy Reconstruction via Preoperative VSP

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In the VSP group, preoperative computed tomography (CT) scans (120 kV, 25 mAs, SW = 1.25 mm) of the head and neck region and the iliac region were performed for VSP. The aim of VSP was to precisely reconstruct the midface buttress and alveolus for later dental implantation based on the symmetry of the midface contour. Maxillectomy and reconstruction were simulated using ProPlan CMF 3.0 (Materialize, Belgium) and iPlan CMF 3.0 (BrainLab, Germany). With the concept of occlusion-driven reconstruction, the position of the iliac bone segment not only met the requirement for implantation, but also met the contour of the maxilla. A resin stereo model was three-dimensionally printed to pre-bend the titanium plate. A surgical guide was used for DCIA flap harvesting and shaping (Figure 1). Maxillectomy was performed under guidance of the navigation system. After DCIA flap fixation, the location of bone grafts was also confirmed by the navigation system. In both groups, the titanium mesh was the first choice for orbital floor reconstruction.
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4

Preoperative Virtual Planning for Condylar Fractures

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The preoperative virtual plans were designed with the Brainlab iPlan CMF 3.0 software. We regarded the centre point of the left and right condyle as points A and B, respectively. Point D was the midpoint between point A and B. The sagittal plane was defined as a reference plane through point D and was perpendicular to the line AB. For those patients with condylar fractures, the reference plane is a sagittal plane through the comb. According to the established symmetric plane, the affected side model was obtained by mirroring the healthy side. Then, the mirrored images were manually adjusted to fit the adjacent anatomical structures. The final preoperative virtual plan was collected and saved in digital imaging and communications in Standard Triangle Language (STL) format to help with intraoperative and postoperative analysis.
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5

Multimodal Imaging for Surgical Planning

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All patients were subjected to standard preoperative head and neck computed tomography (CT) scan (field of view, 20 cm; pitch, 1.0; slice thickness, 1.25 mm; 140-160 mA, pixel density, 512 × 512); and magnetic resonance imaging (MRI; T2-weighted sequence, 1.5T (1T = 800 kA/m); slice thickness, 2 mm; pixel density, 512 × 512). Patients were required to maintain full intercuspal position during imaging. Digital Imaging and Communication in Medicine (DICOM) data of CT and MRI were uploaded to iPlan CMF 3.0 software (BrainLAB, Feldkirchen, Germany). Image fusion was performed using automatic fusion technique, with the tumor set as the region of interest (ROI) in both datasets. After accurate alignment of CT and MRI images at each slice, tumor mapping was performed on the MRI dataset (Figure 1A). The iPlan CMF 3.0 software enabled automatic registration of the two datasets, with bony structures as the references (Figure 1B). Finally, the mapped tumor margins on MRI were projected on to the CT datasets (Figure 1C). Using the multimodal image fusion technique, tumor margins were mapped and the surgical margins were planned virtually to ensure safe surgical margins during the actual surgery.
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