MRI Perfusion Parameters for Ovarian Masses with Diagnostic Performance Metrics

A prospective study of 82 indeterminate adnexal lesions from 29 patients, correlating MRI perfusion parameters with histopathology. The dataset includes semiquantitative parameters like Wash out Rate (WOR) and Maximum absolute enhancement (SI max), with calculated diagnostic accuracy metrics. It was authored by Heba Sabet and last updated in May 2026.

Use Cases

• Developing binary classification models to differentiate benign from malignant ovarian masses based on semiquantitative MRI perfusion parameters.
• Validating diagnostic cutoff values, such as WOR >6.03, for predicting malignancy in adnexal lesions.
• Correlating imaging biomarkers like T2 signal intensity and presence of ascites with pathological outcomes for feature importance analysis.

Strengths

• Includes data from 82 lesions with histopathological correlation, providing a ground truth.
• Reports specific diagnostic performance metrics, including an accuracy of 86.2% for a WOR cutoff >6.03.
• Released under a permissive CC-BY-4.0 license, allowing for reuse and modification.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment and requires manual inspection after download.
• The dataset is very small at 57.5 KB, indicating a limited scope and sample size.
• Geographic and institutional provenance of the patient cohort is not specified, which may limit generalizability.

Provenance

Source

Heba Sabet, via figshare.

Collection Method

Prospective clinical study where patients underwent conventional MRI and Dynamic Contrast Enhanced (DCE) MR perfusion.

Freshness

Last updated 2026-05-28 04:43:41; freshness should be verified.