ClinicalTrials.gov
public full text
Public Domain
Predictive Factors for Complete Myoma Resection During Hysteroscopic Myomectomy
The aim of this observational retrospective analysis is to evaluate predictive factors for complete myoma resection during hysteroscopic myomectomy for developing and validating a nomogram. This tool can help clinicians to support the patient in making an informed decision about therapeutic options for uterine submucous myomas by defining risk factors predicting a high complexity myomectomy.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Candidate molecules as diagnostic biomarker for human uterine mesenchymal tumors#461138
- MYometrial Lesion UltrasouNd And mRi#833552
- Study to Evaluate the Safety and Effectiveness of MRgFUS Compared With Myomectomy for the Treatment of Uterine Fibroids#980028
- Pre-operative Studies for Prediction of Lymph Nodes Involvement in Endometrial Cancer Patients#903289
- The Effect of Anesthetic Technique on VEGF-C and PGE2#864919
Record · ID 1320296
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive