Multimodal Data for Uterine Fibroid Treatment with Focused Ultrasound, 308 Patients

Data from 308 patients treated with Focused Ultrasound Ablation Surgery (FUAS) for uterine fibroids. The multimodal dataset includes structured clinical records, 19,820 pre-treatment MRI frames, treatment parameters, and outcome measures. Author Qianru Zeng published the dataset on figshare in April 2026, along with a complete Python codebase for model reproducibility.

Use Cases

• Predicting treatment difficulty based on clinical records and MRI features mentioned in the description
• Developing recommendation models for FUAS treatment based on patient symptom scores and imaging data
• Validating ablation efficacy by correlating treatment parameters like sonication time and power with NPVR outcomes
• Building multimodal fusion models that integrate structured clinical data with medical image sequences

Strengths

• Includes data from 308 patients, providing a substantial clinical cohort
• Contains 19,820 pre-treatment MRI frames across T2WI and CE sequences
• Provides a complete Python codebase for full model reproducibility as stated in the description
• Multimodal structure combines clinical, imaging, treatment, and outcome data

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count for individual data components is unknown, which may limit suitability assessment
• Data may reflect temporal or institutional bias inherent to the single-source collection on figshare

Provenance

Source

Qianru Zeng via figshare

Collection Method

Collected from patients undergoing Focused Ultrasound Ablation Surgery (FUAS) for uterine fibroids.

Freshness

Last updated 2026-04-26 12:53:12; freshness should be verified