首页> 外文期刊>Annals of nuclear medicine >Radio-guided sentinel lymph node identification by lymphoscintigraphy fused with an anatomical vector profile: Clinical applications
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Radio-guided sentinel lymph node identification by lymphoscintigraphy fused with an anatomical vector profile: Clinical applications

机译:淋巴闪烁成像与解剖学载体相融合的放射性前哨淋巴结识别:临床应用

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摘要

Objective: To develop a method to fuse lymphoscintigraphic images with an adaptable anatomical vector profile and to evaluate its role in the clinical practice. Methods: We used Adobe Illustrator CS6 to create different vector profiles, we fused those profiles, using Adobe Photoshop CS6, with lymphoscintigraphic images of the patient. We processed 197 lymphoscintigraphies performed in patients with cutaneous melanomas, breast cancer or delayed lymph drainage. Results: Our models can be adapted to every patient attitude or position and contain different levels of anatomical details ranging from external body profiles to the internal anatomical structures like bones, muscles, vessels, and lymph nodes. If needed, more new anatomical details can be added and embedded in the profile without redrawing them, saving a lot of time. Details can also be easily hidden, allowing the physician to view only relevant information and structures. Fusion times are about 85 s. The diagnostic confidence of the observers increased significantly. The validation process showed a slight shift (mean 4.9 mm). Conclusions: We have created a new, practical, inexpensive digital technique based on commercial software for fusing lymphoscintigraphic images with built-in anatomical reference profiles. It is easily reproducible and does not alter the original scintigraphic image. Our method allows a more meaningful interpretation of lymphoscintigraphies, an easier recognition of the anatomical site and better lymph node dissection planning.
机译:目的:开发一种融合淋巴闪烁图像与适应性解剖载体轮廓的方法,并评估其在临床实践中的作用。方法:我们使用Adobe Illustrator CS6创建了不同的矢量轮廓,然后使用Adobe Photoshop CS6将这些轮廓与患者的淋巴造影图像进行了融合。我们对患有皮肤黑色素瘤,乳腺癌或淋巴引流延迟的患者进行了197次淋巴闪烁成像。结果:我们的模型可以适应每种患者的姿势或位置,并且包含不同级别的解剖结构细节,范围从体外轮廓到内部解剖结构,例如骨骼,肌肉,血管和淋巴结。如果需要,可以添加更多新的解剖结构细节并将其嵌入到轮廓中,而无需重新绘制它们,从而节省了大量时间。细节也可以很容易地隐藏起来,使医生只能查看相关的信息和结构。融合时间约为85 s。观察者的诊断信心大大提高。验证过程显示出轻微的偏移(平均4.9毫米)。结论:我们基于商业软件创建了一种新的,实用的,廉价的数字技术,用于将淋巴闪烁图像与内置的解剖参考轮廓融合在一起。它很容易复制,并且不会更改原始闪烁图像。我们的方法可以对淋巴闪烁显像进行更有意义的解释,更容易识别解剖​​部位并更好地进行淋巴结清扫计划。

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