首页> 外文期刊>Journal of minimally invasive gynecology >Clinical application of virtual hysteroscopy by CO(2)-multidetector-row computed tomography to submucosal myomas.
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Clinical application of virtual hysteroscopy by CO(2)-multidetector-row computed tomography to submucosal myomas.

机译:CO(2) - 多型宫射出的虚拟宫腔镜检查的临床应用COMETIDET-TROP计算机断层扫描与粘膜肌瘤。

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STUDY OBJECTIVE: We produced virtual hysteroscopy (VH) images from the images obtained after expanding the uterine cavity of patients with submucosal myomas and performing multidetector-row computed tomography scans, and assessed them in comparison with hysteroscopic imaging and in relation to the advantages of VH. DESIGN: Cohort-control study (Canadian Task Force classification II-2). SETTING: Tokyo Medical University Hospital department of obstetrics and gynecology. PATIENTS: Thirty-one patients with submucosal myomas treated by endoscopic surgery. MEASUREMENTS AND MAIN RESULTS: The expandability of the uterine cavity by CO(2) gas was favorable in all 31 patients in whom imaging was performed, and it was possible to obtain clear VH images. The sites of origin of the submucosal myomas were clearly visualized; their imaging was consistent with imaging by hysteroscopy; and as a method of establishing the orientation of the uterine cavity, it was possible to obtain a greater amount of information than by hysteroscopy. CONCLUSION: Although the invasiveness of radiation exposure and contrast medium cannot be denied, the possibilities of and indications for VH, which by expanding and visualizing the uterine cavity enables the acquisition of navigation images of the uterine cavity that varies in morphology from patient to patient, are expected to continue to expand.
机译:研究目的:我们从扩展患有粘膜myomas的患者的子宫腔并进行多票行计算断层扫描的患者的子宫腔中获得的虚拟宫腔镜检查(VH)图像产生,并与宫腔镜成像进行评估,并与VH的优点相比。设计:群组控制研究(加拿大工作组分类II-2)。环境:东京医科大学医院产科与妇科。患者:通过内镜手术治疗的三十一名粘膜脓肿患者。测量和主要结果:通过CO(2)气体的子宫腔的可扩展性在所有31例患者中进行了良好的,并且可以获得澄清的VH图像。显微镜的粘膜脓肿的起源部位明显可视化;他们的成像与宫腔镜检查的成像一致;并且作为建立子宫腔的取向的方法,可以获得比宫腔镜检查更多的信息。结论:虽然辐射暴露和造影介质的侵袭性不能被剥夺,但VH的可能性和适应症,其通过扩展和可视化子宫腔来实现子宫腔的导航图像,这些导航图像从患者到患者的形态变化,预计将继续扩大。

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