Differentiating Pulmonary Cryptococcosis from Lung Adenocarcinoma Using Intranodular and Perinodular Radiomic Features on Non-Contrast CT: Findings from a Two-Center Investigation - Scorecard - MDSpire
Advertisement
Differentiating Pulmonary Cryptococcosis from Lung Adenocarcinoma Using Intranodular and Perinodular Radiomic Features on Non-Contrast CT: Findings from a Two-Center Investigation
Clinical Scorecard: Differentiating Pulmonary Cryptococcosis from Lung Adenocarcinoma Using Intranodular and Perinodular Radiomic Features on Non-Contrast CT: Findings from a Two-Center Investigation
At a Glance
Category
Detail
Condition
Pulmonary Cryptococcosis vs. Lung Adenocarcinoma
Key Mechanisms
Utilization of intranodular and perinodular radiomic features from non-contrast CT.
Target Population
Patients with histopathologically confirmed pulmonary cryptococcosis or lung adenocarcinoma.
Care Setting
Two medical centers in China.
Key Highlights
Combined radiomics model achieved highest AUC of 0.936 in training and 0.922 in testing sets.
Sensitivity of the combined model was 0.838 in training and 0.854 in testing sets.
Specificity of the combined model was 0.898 in training and 0.808 in testing sets.
Radiomics features from both intranodular and perinodular regions provide incremental diagnostic value.
Standardized antifungal therapy is effective for pulmonary cryptococcosis.
Guideline-Based Recommendations
Diagnosis
Use combined radiomics model for differentiating PC from LAC.
Management
Standardized antifungal therapy for pulmonary cryptococcosis.
Monitoring & Follow-up
Regular imaging follow-up for nodules to assess changes.
Risks
Misdiagnosis may lead to unnecessary invasive procedures.
Patient & Prescribing Data
Patients with solitary solid nodules or masses ≤3 cm.
Histopathological confirmation is essential before treatment decisions.
Clinical Best Practices
Incorporate radiomics analysis in diagnostic protocols for pulmonary nodules.
Ensure high-quality imaging for accurate feature extraction.
