Ichikawa, M.; Shiraishi, T.; Okuda, N.; Matsuda, S.; Nakao, K.; Kaseki, H.; Ichikawa, G.; Akira, S.; Toyoshima, M.; Kuwabara, Y.; Suzuki, S. Feasibility of Predicting Surgical Duration in Endometriosis Using Numerical Multi-Scoring System of Endometriosis (NMS-E). Biomedicines2024, 12, 1267.
Ichikawa, M.; Shiraishi, T.; Okuda, N.; Matsuda, S.; Nakao, K.; Kaseki, H.; Ichikawa, G.; Akira, S.; Toyoshima, M.; Kuwabara, Y.; Suzuki, S. Feasibility of Predicting Surgical Duration in Endometriosis Using Numerical Multi-Scoring System of Endometriosis (NMS-E). Biomedicines 2024, 12, 1267.
Ichikawa, M.; Shiraishi, T.; Okuda, N.; Matsuda, S.; Nakao, K.; Kaseki, H.; Ichikawa, G.; Akira, S.; Toyoshima, M.; Kuwabara, Y.; Suzuki, S. Feasibility of Predicting Surgical Duration in Endometriosis Using Numerical Multi-Scoring System of Endometriosis (NMS-E). Biomedicines2024, 12, 1267.
Ichikawa, M.; Shiraishi, T.; Okuda, N.; Matsuda, S.; Nakao, K.; Kaseki, H.; Ichikawa, G.; Akira, S.; Toyoshima, M.; Kuwabara, Y.; Suzuki, S. Feasibility of Predicting Surgical Duration in Endometriosis Using Numerical Multi-Scoring System of Endometriosis (NMS-E). Biomedicines 2024, 12, 1267.
Abstract
Conclusions: Our findings suggest that the NMS-E represents a valuable preoperative diagnostic tool for endometriosis, effectively correlating with the disease's severity and surgical outcomes. Incorporating the NMS-E into clinical practice could significantly enhance the management of endometriosis by addressing current diagnostic limitations and guiding surgical planning.
Keywords
Endometriosis Severity Prediction; Numerical Multi-Scoring System of Endometriosis (NMS-E); Preoperative Diagnostic Method; deep endometriosis; Transvaginal Ultrasound; pelvic examination; Surgical Duration Estimation; laparoscopic surgery for endometriosis; r-ASRM classification.
Subject
Medicine and Pharmacology, Obstetrics and Gynaecology
Copyright:
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