{"paper_id":"33f2cf83-d377-40c4-959e-6759dd17db5e","body_text":"Abstract\nA number of less frequently used laparoscopie procedures are discussed in this chapter. These techniques may be useful in the treatment of certain forms of pelvic pain. Nevertheless, experience with these procedures is still limited, patients should be selected very carefully, and the surgery should be performed only by experienced laparoscopists.\nPreview\nUnable to display preview. Download preview PDF.\nSimilar content being viewed by others\nReferences\nFeste JR. Laser laparoscopy, a new modality. J Re-prod Med. 1985;30:413–417.\nLichten EM, Bombard J. Surgical treatment of primary dysmenorrhea with laparoscopic uterine nerve ablation. J Reprod Med. 1987;32:37–41.\nBlack WT. Use of presacral sympathectomy in the treatment of dysmenorrhea. Am J Obstet Gynecol. 1964;89:16–22.\nCurtis AH, Anson BJ, Ashley FL, et al. The anatomy of the pelvic autonomic nerves in relation to gynecology. Surg Gynecol Obstet. 1942;75: 743–750.\nPerry CP, Perez JJ. The role of laparoscopic pre-sacral neurectomy. J Gynecol Surg. 1993;9: 165–168.\nGillespie L. Destruction of vesicoureteric plexus for the treatment of hypersensitive bladder disorders. Br J Urol. 1994;74:40–43.\nEditor information\nEditors and Affiliations\nRights and permissions\nCopyright information\n© 1997 Springer Science+Business Media New York\nAbout this chapter\nCite this chapter\nPerry, C.P. (1997). Laparoscopic Uterine Nerve Ablation, Presacral Neurectomy, and Uterovaginal Ganglion Excision. In: Azziz, R., Murphy, A.A. (eds) Practical Manual of Operative Laparoscopy and Hysteroscopy. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1886-9_18\nDownload citation\nDOI: https://doi.org/10.1007/978-1-4612-1886-9_18\nPublisher Name: Springer, New York, NY\nPrint ISBN: 978-1-4612-7324-0\nOnline ISBN: 978-1-4612-1886-9\neBook Packages: Springer Book Archive\nKeywords\nThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.","source_license":"CC0","license_restricted":false}