CT Histogram Analysis for Predicting Malignancy in Anterior Mediastinal Masses.
Nilay Çavuşoğlu Yalçın1, Mustafa Yalçın2, Okan Karataş1
1Clinic of Thoracic Surgery, University of Health Sciences Türkiye, Antalya Training and Research Hospital, Antalya, Türkiye.
Thoracic Research and Practice
|March 11, 2026
Summary
Computed tomography (CT) histogram analysis, specifically mean attenuation, shows promise in distinguishing benign from malignant anterior mediastinal masses. This quantitative biomarker offers high sensitivity but requires integration with other assessments for accurate preoperative risk stratification.
Area of Science:
- Radiology
- Oncology
- Pathology
Background:
- Anterior mediastinal masses present a diagnostic challenge, ranging from benign conditions to malignant thymomas.
- Computed tomography (CT) histogram and texture analysis offer non-invasive quantitative biomarkers for malignancy prediction.
- Differentiating benign from malignant masses preoperatively aids in surgical planning and patient management.
Purpose of the Study:
- To investigate the utility of CT histogram-derived parameters, particularly mean attenuation, in differentiating benign from malignant anterior mediastinal masses.
- To assess the potential of these quantitative biomarkers for preoperative risk stratification.
- To evaluate the diagnostic performance of mean CT attenuation in classifying anterior mediastinal masses.
Main Methods:
- Retrospective analysis of 102 patients with surgically resected anterior mediastinal masses.
- Non-contrast CT scans were analyzed using region-of-interest-based histogram analysis to extract mean Hounsfield unit (HU), standard deviation, skewness, and kurtosis.
- Histopathological diagnosis served as the gold standard; statistical comparisons and ROC analysis were performed.
Main Results:
- Malignant masses (58.8%) were distinguished from benign masses (41.2%) by higher mean CT attenuation (63.3 HU vs. 48.3 HU; P=0.023).
- Higher skewness and kurtosis values were observed in malignant lesions, indicating denser attenuation distributions.
- Mean HU demonstrated moderate discriminative performance (AUC=0.64) with high sensitivity (96.7%) and low specificity (50.0%).
Conclusions:
- CT histogram analysis, especially mean attenuation, can serve as a complementary biomarker for differentiating anterior mediastinal masses.
- The high sensitivity but limited specificity necessitate its use as an adjunct to clinical and morphologic assessments.
- Prospective validation incorporating advanced radiomic features is recommended for improved diagnostic accuracy.
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