Ordered subset expectation maximisation vs Bayesian penalised likelihood reconstruction algorithm in 18F-PSMA-1007 PET/CT

• Published in: Annals of nuclear medicine 2020-03, Vol.34 (3), p.192-199
• Main Authors: Witkowska-Patena, Ewa, Budzyńska, Anna, Giżewska, Agnieszka, Dziuk, Mirosław, Walęcka-Mazur, Agata
• Format: Article
• Language: English
• Subjects: Aged; Algorithms; Avidity; Bayes Theorem; Bayesian analysis; Computed tomography; Fluorine isotopes; Fluorine Radioisotopes - chemistry; Humans; Imaging; Lesions; Likelihood Functions; Localization; Maximization; Medicine; Medicine & Public Health; Middle Aged; Neoplasms - diagnostic imaging; Niacinamide - analogs & derivatives; Niacinamide - chemical synthesis; Niacinamide - metabolism; Nuclear Medicine; Oligopeptides - chemical synthesis; Oligopeptides - metabolism; Optimization; Original; Original Article; Physicians; Positron emission; Positron Emission Tomography Computed Tomography - methods; Prostate cancer; Radiology; Radiopharmaceuticals - chemical synthesis; Radiopharmaceuticals - metabolism; Retrospective Studies; Signal-To-Noise Ratio; Statistical analysis; Tomography; Tumors
• ISSN: 0914-7187; 1864-6433
• DOI: 10.1007/s12149-019-01433-x

Background The aim of the study was to compare widely used ordered subset expectation maximisation (OSEM) algorithm with a new Bayesian penalised likelihood (BPL) Q.Clear algorithm in 18F-PSMA-1007 PET/CT. Methods We retrospectively assessed 25 18F-PSMA-1007 PET/CT scans with both OSEM and Q.Clear reconstructions available. Each scan was independently reported by two physicians both in OSEM and Q.Clear. SUVmax, SUVmean and tumour-to-background ratio (TBR) of each lesion were measured. Reports were also compared for their final conclusions and the number and localisation of lesions. Results In both reconstructions the same 87 lesions were reported. Mean SUVmax, SUVmean and TBR were higher for Q.Clear than OSEM (7.01 vs 6.53 [ p  = 0.052], 4.16 vs 3.84 [ p  = 0.036] and 20.2 vs 16.8 [ p