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A novel ultrasound based approach for lesion segmentation and its applications in gynecological laparoscopic surgery

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Abstract

Laparoscopic ultrasound (LUS) has been widely utilized as a surgical aide in general, urological, and gynecological applications. Our study summarizes the clinical applications of laparoscopic ultrasonography in laparoscopic gynecologic surgery. Retrospective analyses were performed on 42 women subjects using laparoscopic surgery during laparoscopic extirpation and excision of gynecological tumors in our hospital from August 2011 to August 2013. Specifically, the Esaote 7.5 × 10 MHz laparoscopic transducer was used to detect small residual lesions, as well as to assess, locate and guide in removing the lesions during laparoscopic operations. The findings of LUS were compared with those of preoperative trans-vaginal ultrasound, postoperative, and pathohistological examinations. In addition, a novel method for lesion segmentation was proposed in order to facilitate the laparoscopic gynecologic surgery. In our experiment, laparoscopic operation was performed using a higher frequency and more close to pelvic organs via laparoscopic access. LUS facilitates the ability of gynaecologists to find small residual lesions under laparoscopic visualization and their accurate diagnosis. LUS also helps to locate residual lesions precisely and provides guidance for the removal of residual tumor and eliminate its recurrence effectively. Our experiment provides a safer and more valuable assistance for clinical applications in laparoscopic gynecological surgery that are superior to trans-abdominal ultrasound and trans-vaginal ultrasound.

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Acknowledgments

This work was supported part by Grant No.201102054 from Shenzhen science and technology Bureau, and part by GrantJCYJ20140414170821285, CXZZ20140909004122087 from Shenzhen science and technology innovation Committee, Guang-dong Innovation Research Team Fund for Low-cost Health-care Technologies in China, the Guangzhou Science and Technology Planning Project (No. 2014J4100153), the Key Lab for Health Informatics of the Chinese Academy of Sciences, the Enhancing Program of Key Laboratories of Shenzhen City (ZDSY20120617113021359), and the National Natural Science Foundation of China (No. 81101120).

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    Authors and Affiliations

    1. Department of Ultrasound, First Affiliated Hospital of Shenzhen University, Second People’s Hospital of Shenzhen, Shenzhen, China

      Xue-Hao Gong, Ying-Yuan Deng, Wei-zong Liu & Xian Huang

    2. Department of Ultrasound, Second Clinical College of Jinan University, People’s Hospital of Shenzhen, Shenzhen, China

      Jun Lu

    3. Department of Obstetrics & Gynecology, First Affiliated Hospital of Shenzhen University, Shenzhen, China

      Jin Liu & Zhi-Ying Yu

    4. Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China

      Sandeep Pirbhulal & Wan-Qing Wu

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    1. Xue-Hao Gong
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    Xue-Hao Gong and Jun Lu have contributed equally to this work.

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    Gong, XH., Lu, J., Liu, J. et al. A novel ultrasound based approach for lesion segmentation and its applications in gynecological laparoscopic surgery. Australas Phys Eng Sci Med 38, 709–720 (2015). https://doi.org/10.1007/s13246-015-0363-4

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