European journal of obstetrics, gynecology, and reproductive biology · 2012
Preoperative planning of surgery for deeply infiltrating endometriosis using the ENZIAN classification.
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Haas Dietmar, Chvatal Radek, Habelsberger Alwin, Schimetta Wolfgang, Wayand Wolfgang, Shamiyeh Andreas, Oppelt Peter
Аннотация
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.
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.