Table 1_Probabilistic mapping of lymph node metastasis in epithelial ovarian cancer: a ret

A retrospective cohort of 654 epithelial ovarian cancer patients who underwent radical surgery, with lymph node metastasis identified in 291 cases. The dataset likely contains anatomical distribution rates across 14 lymph node regions and clinical variables used to construct Bayesian network models of metastatic pathways. The study was authored by Huishan Xu and shared on figshare under a CC-BY-4.0 license in May 2026.

Use Cases

• Modeling probabilistic metastatic pathways based on anatomical lymph node involvement rates
• Identifying clinical risk factors for lymph node metastasis using multivariate regression analysis
• Supporting hypothesis generation for targeted lymphadenectomy and precision surgical planning

Strengths

• Dataset includes 654 patient records from a retrospective cohort study
• Analysis identifies specific metastatic pathways and quantifies node-specific probabilities
• Study integrates clinical variables like tumor size and histological grade into a Bayesian framework

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is retrospective and observational; findings require prospective validation as noted by the authors

Provenance

Source

figshare

Collection Method

Retrospective analysis of patients who underwent radical surgery

Freshness

Last updated 2026-05-18 05:49:38