RESUMEN
BackgroundThe purpose of the study was to create computer-aided design models of the sphenoid sinus with a free-source software in order to perform a preoperative planning during trans-sphenoidal endoscopic surgery (TES) and clarify the three-dimensional anatomical features of the sphenoid sinus and its surrounding structures.MethodsFor each patient a 3D volume rendering of the sphenoid sinus was obtained from a thin slice head and maxilla-facial CT scan using a free-source DICOM viewer. The 3D models obtained preoperatively were examined preoperatively by six neurosurgeons in order to identify the boundaries of the sella.ResultsFor the main anatomical landmark, all of the observers were able to recognize the anatomical structure at a rate ranging from 80 to 98%, 28 to 60% and 25 to 58% for expert (n=3), inexpert (n=3) and the entire group of observers (n=6), respectively. The analysis of the data shows that both observation groups presented a lower recognition rate of the following parameters: right and left medial and lateral optocarotid recesses and tumor prominence, however, the sellar prominence, clival recess, planum sphenoidalis, right and left ICA prominence, right and left optic prominences represent the main anatomical landmarks to be recognized during TES immediately before the opening of the sellar floor.ConclusionsThe use of a preoperative 3D imaging is not in itself a novelty in the literature, however the fact that a simple tool obtained with a free-source software like Horos can represent a considerable help in surgical practice without resorting to the use of more complex software and expensive represents the real utility of this work (AU)
AntecedentesEl objetivo del estudio es crear modelos de diseño asistido por ordenador del seno esfenoidal con software de código abierto para realizar la planificación preoperatoria durante la cirugía transesfenoidal endoscópica (TES) y dilucidar las características anatómicas tridimensionales del seno esfenoidal y las estructuras que lo rodean.MétodosPara cada paciente, se obtuvo una representación volumétrica en 3D del seno esfenoidal, a partir de una tomografía computarizada maxilofacial de corte fino utilizando un visor DICOM de fuente libre. Los modelos 3D obtenidos antes de la cirugía fueron revisados por seis neurocirujanos para identificar los límites de la silla turca.ResultadosPara el principal punto de referencia anatómico, todos los observadores fueron capaces de reconocer la estructura anatómica en un rango de 80 a 98%, 28 a 60% y 25 a 58% para los experimentados (n=3), los inexpertos (n=3) y todo el grupo de observadores (n=6), respectivamente. El análisis de los datos muestra que ambos grupos de observación presentaron una tasa de reconocimiento menor de los siguientes parámetros: recesos optocarotídeos medial y lateral izquierdo y prominencia tumoral, sin embargo, prominencia selar, receso clival, plano esfenoidal, prominencia ICA derecha e izquierda. Las prominencias ópticas derecha e izquierda representan los principales puntos de referencia anatómicos que deben reconocerse durante la TES inmediatamente antes de la apertura del suelo selar.ConclusionesEl uso de una imagen 3D preoperatoria no es en sí mismo una novedad en la literatura, sin embargo, el hecho de que una simple herramienta obtenida con un software de código abierto como Horos pueda representar una importante ayuda en la práctica quirúrgica, sin tener que recurrir al uso de un software más complejo y costoso, representa la verdadera utilidad de este trabajo (AU)
Asunto(s)
Humanos , Terapia Asistida por Computador , Seno Esfenoidal/cirugía , Imagenología Tridimensional , Cuidados Preoperatorios , Reproducibilidad de los ResultadosRESUMEN
BACKGROUND: The purpose of the study was to create computer-aided design models of the sphenoid sinus with a free-source software in order to perform a preoperative planning during trans-sphenoidal endoscopic surgery (TES) and clarify the three-dimensional anatomical features of the sphenoid sinus and its surrounding structures. METHODS: For each patient a 3D volume rendering of the sphenoid sinus was obtained from a thin slice head and maxilla-facial CT scan using a free-source DICOM viewer. The 3D models obtained preoperatively were examined preoperatively by six neurosurgeons in order to identify the boundaries of the sella. RESULTS: For the main anatomical landmark, all of the observers were able to recognize the anatomical structure at a rate ranging from 80 to 98%, 28 to 60% and 25 to 58% for expert (n=3), inexpert (n=3) and the entire group of observers (n=6), respectively. The analysis of the data shows that both observation groups presented a lower recognition rate of the following parameters: right and left medial and lateral optocarotid recesses and tumor prominence, however, the sellar prominence, clival recess, planum sphenoidalis, right and left ICA prominence, right and left optic prominences represent the main anatomical landmarks to be recognized during TES immediately before the opening of the sellar floor. CONCLUSIONS: The use of a preoperative 3D imaging is not in itself a novelty in the literature, however the fact that a simple tool obtained with a free-source software like Horos can represent a considerable help in surgical practice without resorting to the use of more complex software and expensive represents the real utility of this work.
Asunto(s)
Endoscopía , Seno Esfenoidal , Endoscopía/métodos , Humanos , Nariz , Seno Esfenoidal/diagnóstico por imagen , Seno Esfenoidal/patología , Seno Esfenoidal/cirugía , Tomografía Computarizada por Rayos XRESUMEN
Capillary hemangiomas are benign vascular tumors usually diagnosed in infancy and involving skin and soft tissues. We report a rare case of an adult capillary hemangioma of the left sphenoid sinus extending into the intrasellar and parasellar regions. A 71-year-old woman presented with complaints of headaches and diplopia. Magnetic resonance imaging revealed a T2-hyperintense mass-like lesion involving the left posterior ethmoid and sphenoid sinuses and left cavernous sinus, that had extended into the intrasellar and parasellar regions. Dynamic contrast-enhanced computed tomography revealed enhancing vessel-like structures within the lesion during the arterial phase, which were observed to expand further in the late phase of the examination. This characteristic feature indicated increased vascularity, suggesting the presence of a capillary hemangioma. The patient underwent endoscopic resection via the endonasal transpterygoid approach, and the lesion was diagnosed histopathologically as a capillary hemangioma. To aid diagnosis and clinical management, radiologists should be aware of the imaging findings related to capillary hemangiomas.