Enhanced Differentiation of Pneumonic-Type Lung Cancer and Inflammatory Pneumonia Through Quantitative Peri-Lesional Densitometry Mapping Using Thin-Slice Volume Rendering

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A novel diagnostic model using thin-slice volume rendering (tsVR) enhances differentiation between pneumonic-type lung cancer and inflammatory pneumonia.
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The study included 383 patients, with 193 diagnosed with pneumonic-type lung cancer and 190 with inflammatory pneumonia, for model development.
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The tsVR model outperformed conventional CT feature-based diagnosis, achieving an internal validation AUC of 0.86 and external validation AUC of 0.81.
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Logistical regression confirmed the robustness of the tsVR model across various scanners and protocols, demonstrating good inter-observer agreement.
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The findings indicate that tsVR significantly improves diagnostic efficacy, addressing challenges in distinguishing PTLC from inflammatory pneumonia.

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