2020
DOI: 10.21203/rs.3.rs-24703/v1
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Impact of Q.Clear reconstruction algorithm on the interpretation of PET/CT images in patients with lymphoma

Abstract: Background. Q.Clear is a new Bayesian penalised-likelihood PET reconstruction algorithm. It has been documented that Q.Clear increases SUVmax values of different malignant lesions. Purpose. As SUVmax values are crucial for interpretation of PET/CT images in patients with lymphoma, particularly when early and final response to treatment is evaluated, aim of the study was to systematically analyze the impact of the use of Q.Clear on interpretation of PET/CT in patients with lymphoma. Methods. 280 18F-FDG PET/CT … Show more

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“…In 2020 Wyrzykowski et al evaluated the impact of BPL (Q.Clear) compared to OSEM on lymphoma DS using lesion SUVmax to normal liver/ blood pool thresholding and found an overall discordance of 15.7% with 7.1% converting to DS4/DS5 with BPL. [36] The visual DS method of this study found an overall discordance of 25% when using the median DS of the 4 Radiologists. Our group had statistically significant elevations of DS with BPL compared to OSEM, most shifted from DS4 to DS5 (7.7%) which may not be clinically significant.…”
Section: Discussionmentioning
confidence: 79%
“…In 2020 Wyrzykowski et al evaluated the impact of BPL (Q.Clear) compared to OSEM on lymphoma DS using lesion SUVmax to normal liver/ blood pool thresholding and found an overall discordance of 15.7% with 7.1% converting to DS4/DS5 with BPL. [36] The visual DS method of this study found an overall discordance of 25% when using the median DS of the 4 Radiologists. Our group had statistically significant elevations of DS with BPL compared to OSEM, most shifted from DS4 to DS5 (7.7%) which may not be clinically significant.…”
Section: Discussionmentioning
confidence: 79%