PURPOSE: We prospectively evaluated whether a strategy using point spread function (PSF) reconstruction for both diagnostic and quantitative analysis in non-small cell lung cancer (NSCLC) patients meets the European Association of Nuclear Medicine (EANM) guidelines for harmonization of quantitative values. METHODS: The NEMA NU-2 phantom was used to determine the optimal filter to apply to PSF-reconstructed images in order to obtain recovery coefficients (RCs) fulfilling the EANM guidelines for tumour positron emission tomography (PET) imaging (PSF(EANM)). PET data of 52 consecutive NSCLC patients were reconstructed with unfiltered PSF reconstruction (PSF(allpass)), PSF(EANM) and with a conventional ordered subset expectation maximization (OSEM) algorithm known to meet EANM guidelines. To mimic a situation in which a patient would undergo pre- and post-therapy PET scans on different generation PET systems, standardized uptake values (SUVs) for OSEM reconstruction were compared to SUVs for PSF(EANM) and PSF(allpass) reconstruction. RESULTS: Overall, in 195 lesions, Bland-Altman analysis demonstrated that the mean ratio between PSF(EANM) and OSEM data was 1.03 [95% confidence interval (CI) 0.94-1.12] and 1.02 (95% CI 0.90-1.14) for SUV(max) and SUV(mean), respectively. No difference was noticed when analysing lesions based on their size and location or on patient body habitus and image noise. Ten patients (84 lesions) underwent two PET scans for response monitoring. Using the European Organization for Research and Treatment of Cancer (EORTC) criteria, there was an almost perfect agreement between OSEM(PET1)/OSEM(PET2) (current standard) and OSEM(PET1)/PSF(EANM-PET2) or PSF(EANM-PET1)/OSEM(PET2) with kappa values of 0.95 (95% CI 0.91-1.00) and 0.99 (95% CI 0.96-1.00), respectively. The use of PSF(allpass) either for pre- or post-treatment (i.e. OSEM(PET1)/PSF(allpass-PET2) or PSF(allpass-PET1)/OSEM(PET2)) showed considerably less agreement with kappa values of 0.75 (95% CI 0.67-0.83) and 0.86 (95% CI 0.78-0.94), respectively. CONCLUSION: Protocol-optimized images and compliance with EANM guidelines allowed for a reliable pre- and post-therapy evaluation when using different generation PET systems. These data obtained in NSCLC patients could be extrapolated to other solid tumours.
PURPOSE: We prospectively evaluated whether a strategy using point spread function (PSF) reconstruction for both diagnostic and quantitative analysis in non-small cell lung cancer (NSCLC) patients meets the European Association of Nuclear Medicine (EANM) guidelines for harmonization of quantitative values. METHODS: The NEMA NU-2 phantom was used to determine the optimal filter to apply to PSF-reconstructed images in order to obtain recovery coefficients (RCs) fulfilling the EANM guidelines for tumour positron emission tomography (PET) imaging (PSF(EANM)). PET data of 52 consecutive NSCLCpatients were reconstructed with unfiltered PSF reconstruction (PSF(allpass)), PSF(EANM) and with a conventional ordered subset expectation maximization (OSEM) algorithm known to meet EANM guidelines. To mimic a situation in which a patient would undergo pre- and post-therapy PET scans on different generation PET systems, standardized uptake values (SUVs) for OSEM reconstruction were compared to SUVs for PSF(EANM) and PSF(allpass) reconstruction. RESULTS: Overall, in 195 lesions, Bland-Altman analysis demonstrated that the mean ratio between PSF(EANM) and OSEM data was 1.03 [95% confidence interval (CI) 0.94-1.12] and 1.02 (95% CI 0.90-1.14) for SUV(max) and SUV(mean), respectively. No difference was noticed when analysing lesions based on their size and location or on patient body habitus and image noise. Ten patients (84 lesions) underwent two PET scans for response monitoring. Using the European Organization for Research and Treatment of Cancer (EORTC) criteria, there was an almost perfect agreement between OSEM(PET1)/OSEM(PET2) (current standard) and OSEM(PET1)/PSF(EANM-PET2) or PSF(EANM-PET1)/OSEM(PET2) with kappa values of 0.95 (95% CI 0.91-1.00) and 0.99 (95% CI 0.96-1.00), respectively. The use of PSF(allpass) either for pre- or post-treatment (i.e. OSEM(PET1)/PSF(allpass-PET2) or PSF(allpass-PET1)/OSEM(PET2)) showed considerably less agreement with kappa values of 0.75 (95% CI 0.67-0.83) and 0.86 (95% CI 0.78-0.94), respectively. CONCLUSION: Protocol-optimized images and compliance with EANM guidelines allowed for a reliable pre- and post-therapy evaluation when using different generation PET systems. These data obtained in NSCLCpatients could be extrapolated to other solid tumours.
Authors: Shengri Liao; Bill C Penney; Kristen Wroblewski; Hao Zhang; Cassie A Simon; Rony Kampalath; Ming-Chi Shih; Naoko Shimada; Sheng Chen; Ravi Salgia; Daniel E Appelbaum; Kenji Suzuki; Chin-Tu Chen; Yonglin Pu Journal: Eur J Nucl Med Mol Imaging Date: 2011-09-23 Impact factor: 9.236
Authors: H Young; R Baum; U Cremerius; K Herholz; O Hoekstra; A A Lammertsma; J Pruim; P Price Journal: Eur J Cancer Date: 1999-12 Impact factor: 9.162
Authors: Georg Kuhnert; Ronald Boellaard; Sergej Sterzer; Deniz Kahraman; Matthias Scheffler; Jürgen Wolf; Markus Dietlein; Alexander Drzezga; Carsten Kobe Journal: Eur J Nucl Med Mol Imaging Date: 2015-08-18 Impact factor: 9.236