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Wyświetlanie 1-2 z 2
Tytuł:
Three-dimensional analysis of airway space and mandibular morphology in Pierre Robin sequence using cone beam computed tomography.
Autorzy:
Olszewski, Raphael
Dontaine, Timothée
Odri, Guillaume A
Zech, Francis
Bayet, Benedicte
Reychler, Hervé
Powiązania:
https://bibliotekanauki.pl/articles/2129267.pdf
Data publikacji:
2018-06-19
Wydawca:
Presses Universitaires de Louvain
Tematy:
Pierre Robin syndrome
cone beam computed tomography
airways
segmentation
cephalometry
three-dimensional
Opis:
Objectives: The Pierre Robin sequence (PRS) is defined by retromicrognathia, glossoptosis, and sleep apnea and can also be associated with cleft palate. Diagnosis, management and mandibular catch-up growth are still controversial issues in PRS patients. The aim of our retrospective study was to evaluate in three dimensions (3D) the airway space and mandibular morphology in PRS compared to a normal control group patients in the pre-orthodontic period of life. The null hypothesis was that we would not find a significant difference between the PRS and control group patients in oropharyngeal airway volume measurements. Material and methods: We analyzed 9 PRS patients (mean age: 8 years-old) who underwent cleft palate surgery in the first four months of life, performed by the same surgeon using the same technique. Cone-beam computed tomography (CBCT) was performed in these patients after local ethical committee approval. The control group consisted of 15 patients (mean age: 9 years-old) with CBCT already performed for other reasons. 3D Slicer was used in both groups for semi-automatic segmentation of the airway space. Two independent observers performed semi-automatic segmentations twice in each patient with a one- week interval between the two series of measurements. Airway volume was automatically measured using 3D Slicer. We also developed a 3D cephalometric analysis with Maxilim software in order to define a 3D mandibular morphology which consisted of 25 landmarks, 4 planes, and 23 distances. Two independent observers performed the 3D cephalometric analysis twice for each patient, with a one- week interval between the two series of measurements. Results: There was no significant difference in the intra- and inter-observer measurements between the PRS and control groups for airway space volume (p<0.05). However, there was a significant difference in the shape of the mandible between the PRS group and the control group (p<0.05). Conclusions: Vertical ramus width and mandibular global anteroposterior length were significantly lower in the PRS group. Mandibular hypoplasia could be found in PRS patients not only in the horizontal dimension. Nemesis relevance: the null hypothesis was confirmed. Moreover we failed to find exactly the same control group under 9 years-old due to radioprotection restrictions of application of cone beam CT in children.
Źródło:
Nemesis. Negative Effects in Medical Sciences Oral and Maxillofacial Surgery; 2018, 2, 1; 1-27
2593-3604
Pojawia się w:
Nemesis. Negative Effects in Medical Sciences Oral and Maxillofacial Surgery
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The HRCT image analysis for quantitative description of peripheral airways remodelling
Autorzy:
Rumiński, J.
Karczewski, B.
Mincewicz, G.
Aloszko, A.
Krzykowski, G.
Powiązania:
https://bibliotekanauki.pl/articles/333680.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
obrazy HRCT
przebudowa dróg oddechowych
analiza obrazu
HRCT images
airways remodelling
image analysis
Opis:
Airways remodelling is currently described as a process occurring before asthma becomes clinically manifest, which is confirmed by biopsy studies. The aim of this study was to test and validate image analysis methods to describe the changes such as peripheral airways remodelling in HRCT readings. Different methods of airways extraction from HRCT images were investigated including: manual identification of an airway region major axes on original and scaled images (using different interpolation techniques like pixel resize, bilinear interpolation and cubic convolution), manual extraction of the density profile through the major axes of an airway region, semi-automatic method using active contours and the Hough transform. Methods were tested with original images and artificially modified images by blurring and noise addition (Gaussian, Laplacian and salt-and-pepper). Results suggest that popular image magnification using cubic convolution is not suitable for accurate estimation of shape properties of small regions. Smart pixel resizing enables to delineate a region of inner and outer borders with subpixel accuracy reducing the total error of the wall thickness estimation. Additionally smoothing must be reduced to the minimum in the case of an active contour application.
Źródło:
Journal of Medical Informatics & Technologies; 2004, 7; MIP21-30
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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