Multi slice computed tomography in the study of pulmonary metastases

Area of Science:

• Radiology and Imaging
• Oncology
• Pulmonary Medicine

Background:

• Pulmonary metastases detection is crucial for cancer staging and treatment.
• Multidetector-row computed tomography (MDCT) is a primary imaging modality.
• Advanced post-processing techniques can potentially improve lesion detection.

Purpose of the Study:

• To evaluate the diagnostic performance of 16-slice MDCT with various reconstructions for pulmonary metastases.
• To compare the sensitivity of axial images, Multi-Planar Reformatting (MPR), Maximum Intensity Projection (MIP), and Volume Rendering (VR) for detecting pulmonary nodules.

Main Methods:

• Retrospective review of 32 patients with known pulmonary metastases.
• Assessment of nodule characteristics (number, size, location, distribution, mass-vessel sign).
• Comparison of image analysis between axial source images and MPR, MIP, and VR reconstructions by two observers.

Main Results:

• MIP and VR reconstructions showed 100% sensitivity for nodules >10 mm.
• For nodules 6-10 mm, MIP sensitivity was 90%, significantly higher than 2D axial images (49%-55%).
• MIP demonstrated the highest sensitivity (87%-89%) for small nodules (≤5 mm) compared to 2D axial (22%) and VR (55%-58%).

Conclusions:

• Maximum Intensity Projection (MIP) is the most sensitive reconstruction technique for detecting small pulmonary nodules.
• MPR, MIP, and VR did not significantly improve detection rates compared to axial images for larger lesions.
• MIP and VR were comparable in identifying the "mass-vessel sign".