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首页> 美国卫生研究院文献>Journal of Medicine and Life >Proposal for future diagnosis and management of vascular tumors by using automatic software for image processing and statistic prediction
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Proposal for future diagnosis and management of vascular tumors by using automatic software for image processing and statistic prediction

机译：通过使用自动软件进行图像处理和统计预测来对血管肿瘤进行未来诊断和处理的建议

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>Rationale. Infantile Hemangiomas (IH) are the most frequent tumors of vascular origin, and the differential diagnosis from vascular malformations is difficult to establish. Specific types of IH due to the location, dimensions and fast evolution, can determine important functional and esthetic sequels. To avoid these unfortunate consequences it is necessary to establish the exact appropriate moment to begin the treatment and decide which the most adequate therapeutic procedure is.>Objective. Based on clinical data collected by a serial clinical observations correlated with imaging data, and processed by a computer-aided diagnosis system (CAD), the study intended to develop a treatment algorithm to accurately predict the best final results, from the esthetical and functional point of view, for a certain type of lesion.>Methods and Results. The preliminary database was composed of 75 patients divided into 4 groups according to the treatment management they received: medical therapy, sclerotherapy, surgical excision and no treatment. The serial clinical observation was performed each month and all the data was processed by using CAD.>Discussions. The project goal was to create a software that incorporated advanced methods to accurately measure the specific IH lesions, integrated medical information, statistical methods and computational methods to correlate this information with that obtained from the processing of images. Based on these correlations, a prediction mechanism of the evolution of hemangioma, which helped determine the best method of therapeutic intervention to minimize further complications, was established.>Abbreviations: Infantile Hemangiomas = IH, Computer Aided Diagnosis = CAD, Society for the Study of Vascular Anomalies = ISSVA, Color-coded duplex sonography = CCDS
机译：>合理性。小儿血管瘤（IH）是最常见的血管源性肿瘤，因此很难建立与血管畸形的鉴别诊断。由于位置，尺寸和快速发展，IH的特定类型可以确定重要的功能和美学后遗症。为了避免这些不幸的后果，有必要确定确切的适当时机开始治疗，并确定最合适的治疗程序。>目的。基于与影像学相关的一系列临床观察所收集的临床数据数据并由计算机辅助诊断系统（CAD）处理，该研究旨在开发一种治疗算法，以从美学和功能的角度准确预测特定类型病变的最佳最终结果。>方法和结果。初步数据库由75名患者组成，根据他们接受的治疗方法分为4组：药物治疗，硬化治疗，手术切除和不治疗。每月进行一次系列临床观察，并使用CAD处理所有数据。>讨论。该项目的目标是创建一个软件，该软件结合了先进的方法来准确测量特定的IH病变，综合医学信息，统计方法和计算方法，以将该信息与从图像处理中获得的信息进行关联。基于这些相关性，建立了血管瘤演变的预测机制，该机制有助于确定最佳的治疗干预方法以最大程度地减少进一步的并发症。>缩写：婴儿血管瘤= IH，计算机辅助诊断= CAD ，血管异常研究学会= ISSVA，彩色编码双工超声= CCDS

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