CT Imaging Features of Pulmonary SMARCA4-Deficient Undifferentiated Carcinoma

A retrospective case series describes CT imaging features for 15 patients with pulmonary SMARCA4-deficient undifferentiated carcinoma. The data likely contains quantitative and qualitative assessments of tumor location, size, morphology, margins, necrosis, and invasion of adjacent structures. The dataset was authored by Yujian Liu and last updated in May 2026.

Use Cases

• Identifying common CT imaging patterns based on features like spiculated margins and intratumoral necrosis.
• Training models to predict aggressive tumor behavior based on descriptors of invasion into adjacent structures.
• Benchmarking radiologic feature extraction algorithms against expert annotations with reported interobserver agreement.
• Correlating imaging phenotypes with clinical outcomes for this rare cancer subtype.

Strengths

• Includes data from 15 patients with pathologically confirmed cases.
• Reports specific quantitative findings, such as a median tumor diameter of 3.7 cm.
• Describes high prevalence of key imaging features, such as spiculated margins in 93.3% of cases.
• Features were evaluated by two experienced thoracic radiologists with reported interobserver agreement.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (38.5 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Retrospective clinical study.

Freshness

Last updated 2026-05-18 04:16:55; freshness should be verified.