Value of multidetector computed tomography image segmentation for preoperative planning in general surgery.
Surg Endosc
; 26(3): 616-26, 2012 Mar.
Article
en En
| MEDLINE
| ID: mdl-21947742
ABSTRACT
BACKGROUND:
Using practical examples, this report aims to highlight the clinical value of patient-specific three-dimensional (3D) models, obtained segmenting multidetector computed tomography (MDCT) images, for preoperative planning in general surgery.METHODS:
In this study, segmentation and 3D model generation were performed using a semiautomatic tool developed in the authors' laboratory. Their segmentation procedure is based on the neighborhood connected region-growing algorithm that, appropriately parameterized for the anatomy of interest and combined with the optimal segmentation sequence, generates good-quality 3D images coupled with facility of use. Using a touch screen monitor, manual refining can be added to segment structures unsuitable for automatic reconstruction. Three-dimensional models of 10 candidates for major general surgery procedures were presented to the operating surgeons for evaluation. A questionnaire then was administered after surgery to assess the perceived added value of the new technology.RESULTS:
The questionnaire results were very positive. The authors recorded the diffuse opinion that planning the procedure using a segmented data set allows the surgeon to plan critical interventions with better awareness of the specific patient anatomy and consequently facilitates choosing the best surgical approach.CONCLUSIONS:
The benefit shown in this report supports a wider use of segmentation software in clinical practice, even taking into account the extra time and effort required to learn and use these systems.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Procedimientos Quirúrgicos Operativos
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Simulación por Computador
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Cuidados Preoperatorios
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Imagenología Tridimensional
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Tomografía Computarizada Multidetector
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Modelos Anatómicos
Tipo de estudio:
Guideline
Límite:
Humans
Idioma:
En
Año:
2012
Tipo del documento:
Article