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Updated: Mar 2, 2026
Author Spotlight: A 3D Digital Model for the Diagnosis and Treatment of Pulmonary Nodules
Published on: May 19, 2023
The Impact of a Bayesian Penalized Likelihood Reconstruction Algorithm on the Evaluation of Indeterminate Pulmonary
Tiago Sampaio Vieira1, Diogo Borges Faria, Fernando Azevedo Silva
1From the *HPP-Medicina Molecular SA, Porto; †Lenitudes Medical Center & Research, Santa Maria da Feira, Aveiro; and ‡School of Health Sciences, University of Aveiro, Aveiro, Portugal.
Abstract:
We present the case of a patient with history of colon cancer, referred for the evaluation of indeterminate pulmonary nodules by F-FDG PET/CT. A dual-time point protocol was performed, and images were reconstructed using VUE Point HD and a Bayesian-penalized likelihood reconstruction algorithm (Q.Clear). Visually, the quality of the images was considered better when Q.Clear was used with β value of 200, uptake in the smallest nodule (7 mm) was clearly visible only with Q.Clear reconstruction, and uptake in the smaller nodules was best defined in the delayed time point acquisition. Quantitative parameters were also higher for Q.Clear.
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