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1.
Medisur ; 20(6)dic. 2022.
Article in Spanish | LILACS-Express | LILACS | ID: biblio-1440591

ABSTRACT

Fundamento: la estratificación del riesgo de rotura de los aneurismas intracraneales es importante para decidir la conducta ante aquellos pacientes con aneurismas que son incidentales o asintomáticos. No existe consenso para determinar la realización de intervención quirúrgica o seguimiento médico de estos pacientes. Objetivo: elaborar un instrumento predictivo de rotura de aneurismas intracraneales incidentales. Métodos: se incluyó una muestra de 152 pacientes con diagnóstico, mediante angiografía por tomografía axial computarizada, de aneurismas intracraneales saculares rotos (n=138) y no rotos(n=22). Se trabajó con 160 imágenes de aneurismas intracraneales. Los 152 pacientes fueron divididos, al azar, en un grupo de desarrollo que corrrespondió a 95 pacientes, 100 imágenes de aneurismas y un grupo de validación que incluyó 57 pacientes con 60 imágenes de aneurismas. Se realizaron mediciones y segmentaciones de los aneurismas; se obtuvieron nueve factores morfológicos. Se realizó una combinación multivariante, mediante regresión logística múltiple, que expresó seis factores demográficos, clínicos y mofológicos predictivos obtenidos de los expedientes clínicos de los pacientes. La selección para inclusión de los factores fue realizada a partir de un consenso de 15 expertos con más de 15 años de experiencia en el tema. Se confeccionó un nomograma representativo del modelo con los predictores significativos. Se evaluó la calibración y la precisión del instrumento predictivo representado por un modelo y su nomograma. Resultados: el instrumento quedó conformado por cinco predictores que resultaron estadísticamente significativos asociados con la rotura en el análisis multivariado: el sexo femenino, la razón de aspecto, el mayor ancho del domo, el volumen, y el índice de no esfericidad. El nomograma mostró una buena calibración y discriminación (grupo de entrenamiento: área bajo la curva = 99 %; grupo de validación área bajo la curva=99 % ). Conclusiones: el instrumento predictivo, validado y representado por el nomograma es un modelo útil para estratificar el riesgo de rotura de aneurismas. Puede emplearse para el seguimiento de aneurismas considerados de menor riesgo.


Background: the stratification of the intracranial aneurysms rupture risk is important to decide the strategy before those patients with aneurysms that are incidental or asymptomatic. There is no consensus to determine the performance of surgical intervention or medical follow-up of these patients. Objective: to develop a predictive instrument for incidental intracranial aneurysm rupture. Methods: a sample of 152 patients diagnosed by computed tomography angiography of ruptured (n=138) and unruptured (n=22) saccular intracranial aneurysms was included. The 160 images of intracranial aneurysms were studied. The 152 patients were randomly divided into a development group consisting of 95 patients, 100 aneurysm images, and a validation group consisting of 57 patients, 60 aneurysm images. Measurements and segmentations of the aneurysms were performed; nine morphological factors were obtained. A multivariate combination was performed, using multiple logistic regression, which expressed six predictive demographic, clinical and morphological factors obtained from the clinical records of the patients. The selection for inclusion of the factors was made from a consensus of 15 experts with more than 15 years of experience in the subject. A representative nomogram of the model with the significant predictors was made. Calibration and accuracy of the predictive instrument represented by a model and its nomogram were evaluated. Results: the instrument was made up of five predictors that were statistically significant associated with breakage in the multivariate analysis: female sex, aspect ratio, the greatest width of the dome, volume, and non-sphericity index. The nomogram showed good calibration and discrimination (training group: area under the curve = 99%; validation group area under the curve = 99% ). Conclusions: the predictive instrument, validated and represented by the nomogram, is a useful model to stratify the risk of aneurysm rupture. It can be used to monitor aneurysms considered to be of lower risk.

2.
Autops. Case Rep ; 7(2): 69-73, Apr.-June 2017. ilus
Article in English | LILACS | ID: biblio-905255

ABSTRACT

Intracranial arachnoid cysts need to be operated on when they are causing symptoms and aesthetic problems. The aim of this case report was to describe a new method of reconstructing the skull by eliminating a left frontal bone deformity by turning the inside out and the outside inward, which provided good aesthetics and protected the region of surgical interest after the removal of an arachnoid cyst of the left frontal lobe.


Subject(s)
Humans , Female , Adolescent , Arachnoid Cysts/surgery , Brain Neoplasms/surgery , Craniotomy/methods , Plastic Surgery Procedures/methods
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