OBJECTIVE: To use the ENZIAN classification for preoperative estimation of laparoscopic operating time in patients with deeply infiltrating endometriosis (DIE). STUDY DESIGN: Retrospective study of women with DIE (n=151) who underwent laparoscopic surgery. RESULTS: 151 of 470 patients had DIE (n=205 lesions) exclusively in compartments A (rectovaginal septum, vagina), B (sacrouterine ligament to the pelvic wall) and C (rectum, sigmoid colon). These laparoscopically treated lesions were used to calculate a model for estimating operating time for DIE, assuming complication-free procedures (overall significance for model's predictive power: P<0.001). The error of estimation for the operating time prediction is 0 ± 35.35 min (mean ± SD; range -83 to +117 min). The actual operating time for all operations was 109.32 ± 74.38 min (mean ± standard deviation). CONCLUSIONS: Using a model for predicting operating time based on the ENZIAN classification enables resources to be planned more precisely in surgery management. Patients with DIE can also be given more precise information regarding the expected operating time.
OBJECTIVE: To use the ENZIAN classification for preoperative estimation of laparoscopic operating time in patients with deeply infiltrating endometriosis (DIE). STUDY DESIGN: Retrospective study of women with DIE (n=151) who underwent laparoscopic surgery. RESULTS: 151 of 470 patients had DIE (n=205 lesions) exclusively in compartments A (rectovaginal septum, vagina), B (sacrouterine ligament to the pelvic wall) and C (rectum, sigmoid colon). These laparoscopically treated lesions were used to calculate a model for estimating operating time for DIE, assuming complication-free procedures (overall significance for model's predictive power: P<0.001). The error of estimation for the operating time prediction is 0 ± 35.35 min (mean ± SD; range -83 to +117 min). The actual operating time for all operations was 109.32 ± 74.38 min (mean ± standard deviation). CONCLUSIONS: Using a model for predicting operating time based on the ENZIAN classification enables resources to be planned more precisely in surgery management. Patients with DIE can also be given more precise information regarding the expected operating time.
Authors: U Ulrich; O Buchweitz; R Greb; J Keckstein; I von Leffern; P Oppelt; S P Renner; M Sillem; W Stummvoll; R-L De Wilde; K-W Schweppe Journal: Geburtshilfe Frauenheilkd Date: 2014-12 Impact factor: 2.915
Authors: U Ulrich; O Buchweitz; R Greb; J Keckstein; I von Leffern; P Oppelt; S P Renner; M Sillem; W Stummvoll; K-W Schweppe Journal: Geburtshilfe Frauenheilkd Date: 2013-09 Impact factor: 2.915
Authors: J Metzemaekers; P Haazebroek; M J G H Smeets; J English; M D Blikkendaal; A R H Twijnstra; G D Adamson; J Keckstein; F W Jansen Journal: Hum Reprod Open Date: 2020-12-30
Authors: Nathalie Vermeulen; Mauricio S Abrao; Jon I Einarsson; Andrew W Horne; Neil P Johnson; Ted T M Lee; Stacey Missmer; John Petrozza; Carla Tomassetti; Krina T Zondervan; Grigoris Grimbizis; Rudy Leon De Wilde Journal: Hum Reprod Open Date: 2021-10-22
Authors: N Vermeulen; M S Abrao; J I Einarsson; A W Horne; N P Johnson; T T M Lee; S Missmer; J Petrozza; C Tomassetti; K T Zondervan; G Grimbizis; R L De Wilde Journal: Facts Views Vis Obgyn Date: 2021-12
Authors: Joerg Keckstein; Christian M Becker; Michel Canis; Anis Feki; Grigoris F Grimbizis; Lone Hummelshoj; Michelle Nisolle; Horace Roman; Ertan Saridogan; Vasilios Tanos; Carla Tomassetti; Uwe A Ulrich; Nathalie Vermeulen; Rudy Leon De Wilde Journal: Hum Reprod Open Date: 2020-02-12