Novel penalised likelihood reconstruction of PET in the assessment of histologically verified small pulmonary nodules.
Eur Radiol
; 26(2): 576-84, 2016 Feb.
Article
en En
| MEDLINE
| ID: mdl-25991490
ABSTRACT
OBJECTIVES:
Investigate the effect of a novel Bayesian penalised likelihood (BPL) reconstruction algorithm on analysis of pulmonary nodules examined with 18F-FDG PET/CT, and to determine its effect on small, sub-10-mm nodules.METHODS:
18F-FDG PET/CTs performed for nodule evaluation in 104 patients (121 nodules) were retrospectively reconstructed using the new algorithm, and compared to time-of-flight ordered subset expectation maximisation (OSEM) reconstruction. Nodule and background parameters were analysed semi-quantitatively and visually.RESULTS:
BPL compared to OSEM resulted in statistically significant increases in nodule SUVmax (mean 5.3 to 8.1, p < 0.00001), signal-to-background (mean 3.6 to 5.3, p < 0.00001) and signal-to-noise (mean 24 to 41, p < 0.00001). Mean percentage increase in SUVmax (%ΔSUVmax) was significantly higher in nodules ≤10 mm (n = 31, mean 73%) compared to >10 mm (n = 90, mean 42 %) (p = 0.025). Increase in signal-to-noise was higher in nodules ≤10 mm (224%, mean 12 to 27) compared to >10 mm (165%, mean 28 to 46). When applying optimum SUVmax thresholds for detecting malignancy, the sensitivity and accuracy increased using BPL, with the greatest improvements in nodules ≤10 mm.CONCLUSION:
BPL results in a significant increase in signal-to-background and signal-to-noise compared to OSEM. When semi-quantitative analyses to diagnose malignancy are applied, higher SUVmax thresholds may be warranted owing to the SUVmax increase compared to OSEM. KEY POINTS ⢠Novel Bayesian penalised likelihood PET reconstruction was applied for lung nodule evaluation. ⢠This was compared to current standard of care OSEM reconstruction. ⢠The novel reconstruction generated significant increases in lung nodule signal-to-background and signal-to-noise. ⢠These increases were highest in small, sub-10-mm pulmonary nodules. ⢠Higher SUV max thresholds may be warranted when using semi-quantitative analyses to diagnose malignancy.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Procesamiento de Imagen Asistido por Computador
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Nódulo Pulmonar Solitario
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Tomografía de Emisión de Positrones
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Neoplasias Pulmonares
Tipo de estudio:
Observational_studies
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Risk_factors_studies
Límite:
Adult
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Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Año:
2016
Tipo del documento:
Article