RESUMEN
OBJECTIVE: The most exact description of the management of nasal fractures given by any physician of ancient times belongs to Paul of Aegina (AD 625-690). The goal of this article is to describe the therapeutic methods and surgical techniques used by Paul of Aegina in the treatment of nasal injuries. STUDY DESIGN: We studied the original Greek texts and the translation published in Venice, titled "The seven books of excellent doctor Paul of Aegina." The sixth book of his medical compendium is devoted to surgery. We identified the treatments and techniques applied to the restoration of injured noses. CONCLUSION: In this historical article we present the management of nasal fractures by Paul of Aegina. Paul of Aegina's conservative and surgical management for each form of injury was adopted by later physicians and influenced European medicine, a management surprisingly identical with the way nasal fractures are managed nowadays.
Asunto(s)
Fracturas Óseas/historia , Bizancio , Fracturas Óseas/terapia , Cirugía General/historia , Antigua Grecia , Historia Antigua , Humanos , Manuscritos Médicos como Asunto/historia , Hueso Nasal/lesionesRESUMEN
OBJECTIVE: Obstructive symptoms, caused by tonsillar hypertrophy, have been attracting increasing interest, and tonsillectomy is often performed as a result of this indication. This study was undertaken to investigate the effect of the different surgical techniques, tonsilloplasty and tonsillectomy, on clinical symptoms in children with obstructive symptoms owing to tonsillar hypertrophy. METHODS: Thirty children, 3 to 12 years old, were included; 15 of them underwent tonsilloplasty and 15 tonsillectomy. Tonsilloplasty was performed with a knife or scissors, and the trauma was closed with two or three sutures. The tonsillar capsule and about 15 to 20% of tonsillar tissue remain as a barrier to prevent exposure of the pharyngeal muscles. All children were operated on under the same anesthesia and followed the same postoperative scheme for analgesia. RESULTS: All of the children were cured of their breathing obstruction. In the tonsilloplasty group, the tonsillar remnants healed completely within 1 week. The postoperative pain recorded was significantly less than in the tonsillectomy group. No major side effects occurred. The mean time used for the surgery was the same, and no postoperative bleeding was seen in both groups. The intraoperative bleeding observed was small in both groups, although significantly smaller for the tonsilloplasty group. CONCLUSIONS: Tonsilloplasty is a less traumatic and much less painful surgical method, and children recover more quickly. The results with respect to breathing obstruction are almost the same for both methods at the 1-year follow-up. It seems to be the most suitable method for children with tonsillar hypertrophy and obstructive symptoms.
Asunto(s)
Obstrucción de las Vías Aéreas/cirugía , Tonsila Palatina/patología , Tonsila Palatina/cirugía , Apnea Obstructiva del Sueño/cirugía , Obstrucción de las Vías Aéreas/etiología , Niño , Preescolar , Femenino , Humanos , Hipertrofia , Masculino , Dolor Postoperatorio , Satisfacción del Paciente , Apnea Obstructiva del Sueño/etiología , Ronquido/etiología , Ronquido/cirugía , Tonsilectomía/efectos adversosRESUMEN
BACKGROUND: For early melanoma diagnosis, experienced dermatologists have an accuracy of 64-80% using clinical diagnostic criteria, usually the ABCD rule, while automated melanoma diagnosis systems are still considered to be experimental and serve as adjuncts to the naked-eye expert prediction. In an attempt to aid in early melanoma diagnosis, we developed an image processing program with the aim to discriminate melanoma from melanocytic nevi, establishing a mathematical model to come up with a melanoma probability. METHODS: Digital images of 132 melanocytic skin lesions (23 melanomas and 109 melanocytic nevi) were studied in features of geometry, color, and color texture. A total of 43 variables were studied for all lesions, e.g., geometry, color texture, sharpness of border, and color variables. Univariate logistic regression analysis followed by "-2 log likelihood" test and Spearman's rank correlation coefficient were used to eliminate inappropriate variables, as the presence of multi-collinearity among variables could cause severe problems in any stepwise variable selection method. Initially, "-2 log likelihood" and nonparametric Spearman's rho picked five variables to be included in a multivariate model of prediction. The five-variable model was then reduced to three variables and the performance of each model was tested. The "jackknife" method was performed in order to validate the model with the three variables and its accuracy was weighed vs. the five-variable model by receiver-operating characteristics (ROC) curve plotting. It was concluded that the reduced model did not compromise discriminatory power. RESULTS: Not all variables contributed much to the model, therefore they were progressively eliminated and the model was finally reduced to three covariates of significance. A predictive equation was calculated, incorporating parameters of geometry, color, and color texture as independent covariates for the prediction of melanoma. The proposed model provides melanoma probability with a 60.9% sensitivity and 95.4% specificity of prediction, an overall accuracy of 89.4% (probability level 0.5), and 8% false-negative results. CONCLUSIONS: Through a digital image processing system and the development of a mathematical model of prediction, discrimination between melanomas and melanocytic nevi seems feasible with a high rate of accuracy using multivariate logistic regression analysis. The proposed model is an alternative method to aid in early melanoma diagnosis. Expensive and sophisticated equipment is not required and it can be easily implemented in a reasonably priced portable programmable computer, in order to predict previously undiagnosed skin melanoma before histopathology results confirm diagnosis.
Asunto(s)
Procesamiento de Imagen Asistido por Computador/métodos , Melanoma/patología , Nevo Pigmentado/patología , Neoplasias Cutáneas/patología , Algoritmos , Humanos , Aumento de la Imagen , Modelos Logísticos , Curva ROC , Reproducibilidad de los Resultados , Sensibilidad y EspecificidadRESUMEN
Melanocytic nevi are recognized as precursors of melanoma. Aiding in early recognition of melanoma, we estimated color texture parameters, fractal dimension and lacunarity of melanoma and other melanocytic nevi. Digital images of the lesions were processed. Graphic three-dimensional pseudoelevation images of the lesions and surrounding skin were produced to identify irregularities in color texture within the lesions. Estimation of lacunarity and fractal dimension followed in order to produce a numerical estimate of the coarseness of color texture. Clinicians readily perceive the resulting "geographical" images. Irregularity in the anaglyph, which might veil malignancy, is effortlessly identified through these images, and therefore an early excision of a suspect lesion is indicated.