Abstract:ObjectiveTo report the technique, surgical approach, and postoperative features in horses treated via a 3‐dimensional (3D) printed guide‐assisted keratoma resection created using computed tomography (CT) or magnetic resonance imaging (MRI)‐based segmentation.AnimalsFive client‐owned horses.Study designShort case series.MethodsHorses were placed under general anesthesia for imaging (CT and MRI) and underwent a second anesthesia for surgery. Two horses had guides created from CT‐based imaging, 3 horses had guide… Show more
“…Radiology is one of the areas that should reflect the learning and clinical requirements of doctors in an era of advanced technology such as three-dimensional (3D) image processing and assisted image interpretation [1,2]. In particular, when a surgical removal or replacement of a specific anatomical structure is needed, 3D imaging, such as computed tomography (CT), and anatomical 3D model reconstruction are performed before surgery to identify the best anatomical and spatial conditions [3,4]. The preoperative preparation of the CT-based anatomical 3D model improves the planning of the surgery, shortens the surgery time, and reduces the risk of complications so that both treatment outcomes and communication with the patients [3] or animal's owners [4] are much better.…”
Dental diagnostic imaging has progressed towards the use of advanced technologies such as 3D image processing. Since multidetector computed tomography (CT) is widely available in equine clinics, CT-based anatomical 3D models, segmentations, and measurements have become clinically applicable. This study aimed to use a 3D segmentation of CT images and volumetric measurements to investigate differences in the surface area and volume of equine incisors. The 3D Slicer was used to segment single incisors of 50 horses’ heads and to extract volumetric features. Axial vertical symmetry, but not horizontal, of the incisors was evidenced. The surface area and volume differed significantly between temporary and permanent incisors, allowing for easy eruption-related clustering of the CT-based 3D images with an accuracy of >0.75. The volumetric features differed partially between center, intermediate, and corner incisors, allowing for moderate location-related clustering with an accuracy of >0.69. The volumetric features of mandibular incisors’ equine odontoclastic tooth resorption and hypercementosis (EOTRH) degrees were more than those for maxillary incisors; thus, the accuracy of EOTRH degree-related clustering was >0.72 for the mandibula and >0.33 for the maxilla. The CT-based 3D images of equine incisors can be successfully segmented using the routinely achieved multidetector CT data sets and the proposed data-processing approaches.
“…Radiology is one of the areas that should reflect the learning and clinical requirements of doctors in an era of advanced technology such as three-dimensional (3D) image processing and assisted image interpretation [1,2]. In particular, when a surgical removal or replacement of a specific anatomical structure is needed, 3D imaging, such as computed tomography (CT), and anatomical 3D model reconstruction are performed before surgery to identify the best anatomical and spatial conditions [3,4]. The preoperative preparation of the CT-based anatomical 3D model improves the planning of the surgery, shortens the surgery time, and reduces the risk of complications so that both treatment outcomes and communication with the patients [3] or animal's owners [4] are much better.…”
Dental diagnostic imaging has progressed towards the use of advanced technologies such as 3D image processing. Since multidetector computed tomography (CT) is widely available in equine clinics, CT-based anatomical 3D models, segmentations, and measurements have become clinically applicable. This study aimed to use a 3D segmentation of CT images and volumetric measurements to investigate differences in the surface area and volume of equine incisors. The 3D Slicer was used to segment single incisors of 50 horses’ heads and to extract volumetric features. Axial vertical symmetry, but not horizontal, of the incisors was evidenced. The surface area and volume differed significantly between temporary and permanent incisors, allowing for easy eruption-related clustering of the CT-based 3D images with an accuracy of >0.75. The volumetric features differed partially between center, intermediate, and corner incisors, allowing for moderate location-related clustering with an accuracy of >0.69. The volumetric features of mandibular incisors’ equine odontoclastic tooth resorption and hypercementosis (EOTRH) degrees were more than those for maxillary incisors; thus, the accuracy of EOTRH degree-related clustering was >0.72 for the mandibula and >0.33 for the maxilla. The CT-based 3D images of equine incisors can be successfully segmented using the routinely achieved multidetector CT data sets and the proposed data-processing approaches.
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