Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Feasibility of Predicting Surgical Duration in Endometriosis Using Numerical Multi-Scoring System of Endometriosis (NMS-E)

Masao Ichikawa
* ORCID logo ,
Tatsunori Shiraishi
,
Naofumi Okuda
,
Shigeru Matsuda
,
Kimihiko Nakao
,
Hanako Kaseki
,
Go Ichikawa
,
Shigeo Akira
,
Masafumi Toyoshima
,
Yoshimitu Kuwabara
,
Shunji Suzuki
Version 1 : Received: 27 March 2024 / Approved: 27 March 2024 / Online: 27 March 2024 (11:59:51 CET)

How to cite: 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). Preprints 2024, 2024031678. https://doi.org/10.20944/preprints202403.1678.v1 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). Preprints 2024, 2024031678. https://doi.org/10.20944/preprints202403.1678.v1

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: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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