Literature DB >> 23893476

Radio-guided sentinel lymph node identification by lymphoscintigraphy fused with an anatomical vector profile: clinical applications.

A Niccoli Asabella1, F Antonica, M A Renna, D Rubini, A Notaristefano, A Nicoletti, G Rubini.   

Abstract

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.

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Year:  2013        PMID: 23893476     DOI: 10.1007/s12149-013-0758-9

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  1 in total

1.  Visualization of Anatomic Variation of the Anterior Septal Vein on Susceptibility-Weighted Imaging.

Authors:  Zhengzhen Chen; Huihuang Qiao; Yu Guo; Jiance Li; Huizhong Miao; Caiyun Wen; Xindong Wen; Xiaofen Zhang; Xindong Yang; Chengchun Chen
Journal:  PLoS One       Date:  2016-10-07       Impact factor: 3.240

  1 in total

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