Radiomic and Gene Expression Data for Pulmonary Invasive Mucinous Adenocarcinoma

A clinical dataset of 300 patients (150 with pulmonary invasive mucinous adenocarcinoma and 150 without) from Ningbo No.2 Hospital, collected between June 2021 and October 2024. The data includes CT radiomic parameters and serum mRNA levels of FoxM1 and Sox9, correlated with tumor pathological characteristics. The dataset was authored by Aizhu Sheng and shared under a CC-BY-4.0 license.

Use Cases

• Correlating CT radiomic features like Kurtosis and Entropy with tumor differentiation degree and TNM staging.
• Analyzing the relationship between FoxM1 and Sox9 mRNA levels and the presence of pulmonary invasive mucinous adenocarcinoma.
• Building diagnostic models using combined radiomic and gene expression features to differentiate PIMA from non-PIMA cases.
• Investigating the influence of specific radiomic parameters and biomarkers on lung cancer pathology.

Strengths

• Includes data from a defined cohort of 300 patients.
• Combines two distinct data modalities: CT radiomic features and serum mRNA levels.
• Correlations with clinical outcomes (differentiation, TNM staging) are reported in the study.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Data is sourced from a single hospital (Ningbo No.2 Hospital), which may limit generalizability.
• The dataset is small at 701.4 KB, indicating limited scope.

Provenance

Source

figshare, authored by Aizhu Sheng.

Collection Method

Clinical study comparing patients with and without PIMA, analyzing CT scans and serum samples.

Time Range

June 2021 to October 2024.

Freshness

Last updated 2026-04-09 17:30:23; freshness should be verified.

Geography

Ningbo No.2 Hospital, China.