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</script>AbstractLaparoscopic myomectomy is minimally invasive treatment for patients suffering from fibroids, especially those wishing to maintain their fertility sparing potential. While this surgery requires intensive training in surgical skills such as intracorporeal suturing and specimen extraction, patients can also expect less adhesion and a quick return to normal activity. This surgery can be broken into three stages, each presenting its own specific and unique challenges—enucleation, reapproximation of the myoma bed, and specimen extraction. To prepare for the broad spectrum of cases where the size and number of fibroids can differ greatly, we have mastered several techniques for each stage of the procedure. To keep the surgery safe, we train for unexpected scenarios by practicing minimally invasive repair and reconstruction techniques. By following basic tenets and understanding the laparoscopic anatomy, we define the targets and boundaries of our dissection to ensure completeness. In this paper, techniques for the enucleation, reapproximation, and extraction will be presented in detail.
less adhesion, RD1-811, specimen extraction, laparoscopy, fibroids, Surgery, myomectomy, intracorporeal suturing
less adhesion, RD1-811, specimen extraction, laparoscopy, fibroids, Surgery, myomectomy, intracorporeal suturing
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
