title: A novel ultrasound based approach for lesion segmentation and its applications in gynecological laparoscopic surgery.
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.
authors.affiliation: Department of Ultrasound, First Affiliated Hospital of Shenzhen University, Second People's Hospital of Shenzhen, Shenzhen, China.
authors.forename: Xue-Hao
authors.initials: XH
authors.lastname: Gong
authors.affiliation: Department of Ultrasound, Second Clinical College of Jinan University, People's Hospital of Shenzhen, Shenzhen, China.
authors.forename: Jun
authors.initials: J
authors.lastname: Lu
authors.affiliation: Department of Obstetrics & Gynecology, First Affiliated Hospital of Shenzhen University, Shenzhen, China.
authors.forename: Jin
authors.initials: J
authors.lastname: Liu
authors.affiliation: Department of Ultrasound, First Affiliated Hospital of Shenzhen University, Second People's Hospital of Shenzhen, Shenzhen, China.
authors.forename: Ying-Yuan
authors.initials: YY
authors.lastname: Deng
authors.affiliation: Department of Ultrasound, First Affiliated Hospital of Shenzhen University, Second People's Hospital of Shenzhen, Shenzhen, China.
authors.forename: Wei-Zong
authors.initials: WZ
authors.lastname: Liu
authors.affiliation: Department of Ultrasound, First Affiliated Hospital of Shenzhen University, Second People's Hospital of Shenzhen, Shenzhen, China.
authors.forename: Xian
authors.initials: X
authors.lastname: Huang
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
authors.forename: Sandeep
authors.initials: S
authors.lastname: Pirbhulal
authors.affiliation: Department of Obstetrics & Gynecology, First Affiliated Hospital of Shenzhen University, Shenzhen, China. zhiying_yuszu@163.com.
authors.forename: Zhi-Ying
authors.initials: ZY
authors.lastname: Yu
authors.affiliation: Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China. wq.wu@siat.ac.cn.
authors.forename: Wan-Qing
authors.initials: WQ
authors.lastname: Wu
mesh_terms: D005260:Female; D005833:Genital Neoplasms, Female / Q000601:surgery*; D013509:Gynecologic Surgical Procedures / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D010535:Laparoscopy / Q000379:methods*; D018084:Ultrasonography, Interventional / Q000379:methods*
keywords: Intra-operative ultrasound; Laparoscopic myomectomy; Laparoscopic ultrasonography; Semi-automatic segmentation