CT Imaging Features of Tuberculosis Patients with Type 2 Diabetes, 2018-2023

Dalian Public Health Clinical Center collected clinical data and pulmonary CT findings for 364 patients from 2018 to 2023. The dataset compares imaging features across four groups: primary T2DM RR/MDR-TB, NT2DM RR/MDR-TB, T2DM DS-TB, and DS-TB patients without T2DM or RR/MDR-TB. Author Yuhua Zhao published the data on figshare.

Use Cases

• Identify high-risk imaging factors for T2DM in RR/MDR-TB patients based on features like large nodules and multiple cavities.
• Analyze correlations between glycated hemoglobin (HbA1c) levels and specific CT findings such as pleural effusion.
• Compare demographic and clinical features like BMI, albumin levels, and smoking rates across different patient cohorts.

Strengths

• Dataset includes 364 patient records from a single clinical center.
• Analysis compares four distinct patient groups with clear clinical definitions.
• Statistical tests (chi-square, Kruskal-Wallis H) were applied to compare groups.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic bias inherent to a single center in Dalian.

Provenance

Source

Dalian Public Health Clinical Center

Collection Method

Clinical data and pulmonary CT findings were collected from patient records.

Time Range

2018 to 2023

Freshness

Last updated 2026-05-22 05:34:19; freshness should be verified.

Geography

Dalian, China