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Positron emission tomography PET/CT harmonisation study of different clinical PET/CT scanners using commercially available software.
Lowe, Gerry; Spottiswoode, Bruce; Declerck, Jerome; Sullivan, Keith; Sharif, Mhd Saeed; Wong, Wai-Lup; Sanghera, Bal.
Afiliación
  • Lowe G; Cancer Centre, Mount Vernon Hospital, London, UK.
  • Spottiswoode B; Siemens Medical Solutions USA, Inc., Knoxville, TN, USA.
  • Declerck J; Siemens Medical Solutions USA, Inc., Knoxville, TN, USA.
  • Sullivan K; Health Research Methods Unit, University of Hertfordshire, Hertfordshire, UK.
  • Sharif MS; School of Arch., Comp. and Eng., University of East London, London, UK.
  • Wong WL; Paul Strickland Scanner Centre, Mount Vernon Hospital, London, UK.
  • Sanghera B; Paul Strickland Scanner Centre, Mount Vernon Hospital, London, UK.
BJR Open ; 2(1): 20190035, 2020.
Article en En | MEDLINE | ID: mdl-33178963
ABSTRACT

OBJECTIVES:

Harmonisation is the process whereby standardised uptake values from different scanners can be made comparable. This PET/CT pilot study aimed to evaluate the effectiveness of harmonisation of a modern scanner with image reconstruction incorporating resolution recovery (RR) with another vendor older scanner operated in two-dimensional (2D) mode, and for both against a European standard (EARL). The vendor-proprietary software EQ•PET was used, which achieves harmonisation with a Gaussian smoothing. A substudy investigated effect of RR on harmonisation.

METHODS:

Phantom studies on each scanner were performed to optimise the smoothing parameters required to achieve successful harmonisation. 80 patients were retrospectively selected; half were imaged on each scanner. As proof of principle, a cohort of 10 patients was selected from the modern scanner subjects to study the effects of RR on harmonisation.

RESULTS:

Before harmonisation, the modern scanner without RR adhered to EARL specification. Using the phantom data, filters were derived for optimal harmonisation between scanners and with and without RR as applicable, to the EARL standard. The 80-patient cohort did not reveal any statistically significant differences. In the 10-patient cohort SUVmax for RR > no RR irrespective of harmonisation but differences lacked statistical significance (one-way ANOVA F(3.36) = 0.37, p = 0.78). Bland-Altman analysis showed that harmonisation reduced the SUVmax ratio between RR and no RR to 1.07 (95% CI 0.96-1.18) with no outliers.

CONCLUSIONS:

EQ•PET successfully enabled harmonisation between modern and older scanners and against the EARL standard. Harmonisation reduces SUVmax and dependence on the use of RR in the modern scanner. ADVANCES IN KNOWLEDGE EQ•PET is feasible to harmonise different PET/CT scanners and reduces the effect of RR on SUVmax.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BJR Open Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: BJR Open Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido
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