Dataset Information

Use of the base purse-string suture approach to remove giant uterine fibroids during cesarean section.

ABSTRACT:

Objective

This study aimed to investigate the optimal strategy for myomectomy for removing giant uterine fibroids when necessary in women undergoing cesarean section.

Methods

This study was retrospective in design, and assessed outcomes in 26 patients who underwent myomectomy using a "base purse-string suture" during cesarean section. The operative duration, blood loss, uterine involution, and duration of postpartum lochia were analyzed.

Results

This suture was associated with a mean operative duration of 11.17 ± 5.36 minutes and the mean estimated blood loss was 11.15 ± 6.05 mL. The mean postpartum duration of lochia was 34.92 ± 7.55 days and there were no cases of postpartum hemorrhage. Uterine size returned to normal within 6 weeks of delivery, without any apparent defects or abnormalities in the uterine wall as shown by an ultrasonic examination.

Conclusion

This novel implementation of a base purse-string suture during cesarean myomectomy for removal of giant fibroids is a simple, safe, and effective intervention that should be considered for implementation in appropriate patients.

SUBMITTER: Liu D

PROVIDER: S-EPMC7783271 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Publications

Use of the base purse-string suture approach to remove giant uterine fibroids during cesarean section.

Liu Dan D Han Min M Huang Pu P Li Chunfang C Li Xuelan X

The Journal of international medical research 20191231 4

<h4>Objective</h4>This study aimed to investigate the optimal strategy for myomectomy for removing giant uterine fibroids when necessary in women undergoing cesarean section.<h4>Methods</h4>This study was retrospective in design, and assessed outcomes in 26 patients who underwent myomectomy using a "base purse-string suture" during cesarean section. The operative duration, blood loss, uterine involution, and duration of postpartum lochia were analyzed.<h4>Results</h4>This suture was associated w ...[more]

PMID: 31889467

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Project description:Abstract Background Purse-string suture in transanal total mesorectal excision is a key procedural step. The aims of this study were to develop an automatic skill assessment system for purse-string suture in transanal total mesorectal excision using deep learning and to evaluate the reliability of the score output from the proposed system. Methods Purse-string suturing extracted from consecutive transanal total mesorectal excision videos was manually scored using a performance rubric scale and computed into a deep learning model as training data. Deep learning-based image regression analysis was performed, and the purse-string suture skill scores predicted by the trained deep learning model (artificial intelligence score) were output as continuous variables. The outcomes of interest were the correlation, assessed using Spearman’s rank correlation coefficient, between the artificial intelligence score and the manual score, purse-string suture time, and surgeon’s experience. Results Forty-five videos obtained from five surgeons were evaluated. The mean(s.d.) total manual score was 9.2(2.7) points, the mean(s.d.) total artificial intelligence score was 10.2(3.9) points, and the mean(s.d.) absolute error between the artificial intelligence and manual scores was 0.42(0.39). Further, the artificial intelligence score significantly correlated with the purse-string suture time (correlation coefficient = −0.728) and surgeon’s experience (P< 0.001). Conclusion An automatic purse-string suture skill assessment system using deep learning-based video analysis was shown to be feasible, and the results indicated that the artificial intelligence score was reliable. This application could be expanded to other endoscopic surgeries and procedures. The aims of this study were to develop an automatic skill assessment system for purse-string suture in transanal total mesorectal excision (TaTME) using artificial intelligence (AI) and to evaluate the reliability of the score output. The score output by AI exhibited statistically significant correlation with the manual score, purse-string suture time, and surgeon’s experience. To the best of our knowledge, this is the first report on automatic skill assessment for purse-string suture in TaTME.

Dataset Information

Use of the base purse-string suture approach to remove giant uterine fibroids during cesarean section.

Objective

Methods

Results

Conclusion

Publications

Use of the base purse-string suture approach to remove giant uterine fibroids during cesarean section.

Similar Datasets

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