3 resultados para Images orbital

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo


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The aim of this study was to characterize and compare the spectral behavior of different soil classes obtained by orbital and terrestrial sensors. For this, an area of 184 ha in Rafard (SP) Brazil was staked on a regular grid of 100x100 m and soil samples were collected and georeferenced. After that, soil spectral curves were obtained with IRIS sensor and the sample points were overlaid at Landsat and ASTER images for spectral data collection. The soil samples were classified and mean soil curves for all sensors were generated by soil classes. The soil classes were differentiated by texture, organic matter and total iron for all sensors studied, the orbital sensors despite the lower spectral resolution, maintained the characteristics of the soil and the curves of reflectance intensity.

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Introduction: Orbital infections may result in permanent morbidity because of the severity of infection. Furthermore, delayed diagnosis or treatment of orbital infections can lead to intracranial complications and even death. The majority of orbital infections develop from paranasal sinus infections, cutaneous infections, and periorbital trauma. Dacryocystitis and odontogenic infection are also accounted as potential etiologies but are scarcely reported in scientific literature. Methods: The patient revealed a history of having endodontic treatment on left maxillary second molar performed 2 weeks previously. Moreover, she exhibited signs of facial pain accompanied by sinusitis symptoms, fever, and nasal obstruction the week after this endodontic procedure. The patient presented proptosis, impairment of ocular motility to the right side, facial tenderness, palpebral erythema, and referred decreased visual acuity. Intraoral exam revealed root fragments of left maxillary first molar and an extensive carious lesion on left maxillary second molar. Computed tomography enabled the observation of frontal sinus, left-sided maxillary, opacity of sphenoidal and ethmoidal sinuses, and apical lesion of left maxillary first and second molars, all suggesting the presence of their apex in the maxillary sinus. In addition, images revealed ocular proptosis and presence of high-density areas suggestive of pus in the medial orbital wall region. Results: The patient was submitted to surgical drainage under general anesthesia approximately 8 hours after the clinical evaluation. Conclusions: Early detection of orbital infection, proper diagnostic tests, and treatment may provide successful outcomes of this rarely occurring disease. (J Endod 2012;38:1541-1543)

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BACKGROUND AND PURPOSE: DON, a serious complication of GO, is frequently difficult to diagnose clinically in its early stages because of confounding signs and symptoms of congestive orbitopathy. We evaluated the ability of square area measurements of orbital apex crowding, calculated with MDCT, to detect DON. MATERIALS AND METHODS: Fifty-six patients with GO were studied prospectively with complete neuro-ophthalmologic examination and MDCT scanning. Square measurements were taken from coronal sections 12 mm, 18 mm, and 24 mm from the interzygomatic line. The ratio between the extraocular muscle area and the orbital bone area was used as a Cl. Intracranial fat prolapse through the superior orbital fissure was recorded as present or absent. Severity of optic nerve crowding was also subjectively graded on corona! images. Orbits were divided into 2 groups (with or without clinical evidence of DON) and compared. RESULTS: Ninety-five orbits (36 with and 59 without DON) were studied. The CIs at all 3 levels and the subjective crowding score were significantly greater in orbits with DON (P<.001). No significant difference was observed regarding intracranial fat prolapse (P=.105). The area under the ROC curves was 0.91, 0.93, and 0.87 for CIs at 12, 18, and 24 mm, respectively. The best performance was at 18 mm, where a cutoff value of 57.5% corresponded to 91.7% sensitivity, 89.8% specificity, and an odds ratio of 97.2 for detecting DON. A significant correlation (P<.001) between the CIs and VF defects was observed. CONCLUSIONS: Orbital Cls based on area measurements were found to predict DON more reliably than subjective grading of orbital crowding or intracranial fat prolapse.