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Updated: Nov 5, 2025
Subcostal Specimen Removal in Completely Portal Robotic Lobectomy
Published on: April 19, 2024
Variables that prolong total operative time for robotic-assisted laparoscopic myomectomy: A 10-year tertiary hospital
Kyung-Min Park1, SoYeon Kang2, Chaewon Kim1
1Department of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Study Objective:
To identify factors that prolong total operative time (TOT) in robotic-assisted laparoscopic myomectomy (RALM).
Design:
Retrospective cohort study.
Setting:
Tertiary university hospital.
Patients:
Women who underwent RALM between April 2009 and May 2019 conducted by a single high-volume gynecologic surgeon.
Interventions:
Patients' demographic data and intraoperative records were obtained. The association between the perioperative characteristics and TOT was analyzed.
Measurements And Main Results:
A total of 584 cases met the inclusion criteria, with a mean TOT of 231.6 ± 86.7 min. The mean patient age was 36.3 ± 5.5 years, and the patients had a mean of 4.2 ± 4.0 myomas. The dominant myoma had a mean diameter of 7.6 ± 2.6 cm. The mean total weight of the extracted myomas removed was 202.2 ± 152.6 g. From multiple regression analysis, the following perioperative factors were intimately associated with the TOT: ① body mass index, ② the number of myomas, ③ weight of total myomas, ④ location of dominant myoma, ⑤ type of da Vinci robot system, ⑥ endometrial cavity opening during the operation, ⑦ intraoperative blood loss, and ⑧ patient hospitalization period. The number of myoma was most closely related to the TOT, with an R2 value of 0.330. All of the above factors with the exception of the type of robot system and location of dominant myoma were related to the console time. Age, parity, history of previous abdominal surgery, surgical indication, diameter, and FIGO classification were not associated with the TOT.
Conclusion:
With an accurate identification of the perioperative parameters above, we can improve the quality of RALM by counselling, selecting an appropriate patient selection, and preoperative planning.
