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

Masao Ichikawa, Tatsunori Shiraishi, Shiraishi T, Okuda N, Naofumi Okuda, Shigeru Matsuda, Matsuda S, Kimihiko Nakao, Nakao K, Kaseki H, Hanako Kaseki, Ichikawa G, Go Ichikawa, Akira S, Shigeo Akira, Masafumi Toyoshima, Toyoshima M, Kuwabara Y, Yoshimitu Kuwabara, Shunji Suzuki
Biomedicines · 2024 · vol. 12(6) , pp. 1267 · doi:10.3390/biomedicines12061267 · PMID:38927474 · W4399381906
article OA: gold CC0
🔓 Open OA copy View on OpenAlex View on PubMed View at publisher
⚙ AI-generated summary by gemini-2.5-flash-lite, 2026-06-08 ⓘ

The Numerical Multi-Scoring System of Endometriosis (NMS-E) positively correlated with endometriosis severity, accurately predicting surgical duration and blood loss, outperforming the r-ASRM classification.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

Abstract

BACKGROUND: Endometriosis is a multifaceted gynecological condition that poses diagnostic challenges and affects a significant number of women worldwide, leading to pain, infertility, and a reduction in patient quality of life (QoL). Traditional diagnostic methods, such as the revised American Society for Reproductive Medicine (r-ASRM) classification, have limitations, particularly in preoperative settings. The Numerical Multi-Scoring System of Endometriosis (NMS-E) has been proposed to address these shortcomings by providing a comprehensive preoperative diagnostic tool that integrates findings from pelvic examinations and transvaginal ultrasonography. METHODS: This retrospective study aims to validate the effectiveness of the NMS-E in predicting surgical outcomes and correlating with the severity of endometriosis. Data from 111 patients at Nippon Medical School Hospital were analyzed to determine the correlation between NMS-E scores, including E-score-a severity indicator-traditional scoring systems, surgical duration, blood loss, and clinical symptoms. This study also examined the need to refine parameters for deep endometriosis within the NMS-E to enhance its predictive accuracy for disease severity. RESULTS: The mean age of the patient cohort was 35.1 years, with the majority experiencing symptoms such as dysmenorrhea, dyspareunia, and chronic pelvic pain. A statistically significant positive correlation was observed between the NMS-E's E-score and the severity of endometriosis, particularly in predicting surgical duration (Spearman correlation coefficient: 0.724, p < 0.01) and blood loss (coefficient: 0.400, p < 0.01). The NMS-E E-score also correlated strongly with the r-ASRM scores (coefficient: 0.758, p < 0.01), exhibiting a slightly more excellent predictive value for surgical duration than the r-ASRM scores alone. Refinements in the methodology for scoring endometriotic nodules in uterine conditions improved the predictive accuracy for surgical duration (coefficient: 0.752, p < 0.01). 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.

My notes (saved in your browser only)

Condition tags

endometriosischronic_pelvic_paindysmenorrheadyspareuniainfertility

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (36)

Source provenance

europepmc
last seen: 2026-09-13T09:25:22.628771+00:00
openalex
last seen: 2026-06-10T17:14:06.276822+00:00
pubmed
last seen: 2026-09-13T06:09:01.888431+00:00
License: CC0 · commercial use OK