Multimodal virtual bronchoscopy using PET/CT images

Figures & data

Figure 1. A 68-year-old woman with a non-small cell lung cancer (NSCLC) in the right lower lobe and mediastinal lymph node metastases. (a–c) Coronal view, showing a CT-based attenuation-corrected ¹⁸F-FDG PET image (a), a venous-dominant contrast-enhanced diagnostic CT image (b), and the PET/CT image (c). ¹⁸F-FDG PET and CT show the NSCLC in the caudal region of the right hilus. (d–f) Image postprocessing, showing a color-coded shaded-surface rendering model of the tracheobronchial system (yellow), the NSCLC (red) and the mediastinal lymph node metastases (orange), and a volume rendering model of the thorax (transparent, gray) (d); and virtual hybrid bronchoscopic views (e, f) of the right lower lobe bronchus, showing the NSCLC (red) in the transparent color-coded shaded-surface model (f). The tracheobronchial system was segmented using the CT data set. The bronchial carcinoma and the lymph node metastases were segmented using the PET data set. [Color version available online.]

Table I.  Quantitative assessment of primary tumor and mediastinal lymph node metastases using virtual CT-bronchoscopy and virtual hybrid bronchoscopy (n = 8). (Values are number of lesions detected.)

	Primary tumor metastases	Mediastinal lymph node
Virtual CT-bronchoscopy	8	43
Virtual hybrid bronchoscopy	8	49