2021
DOI: 10.1097/mnm.0000000000001522
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Semiautomatic assessment of whole-body tumor burden with 18F-PSMA-1007 in biochemical recurrent prostate cancer

Abstract: Objective The aim of the study was to evaluate the 18F-PSMA-1007 PET/computed tomography (CT) semiautomatic volumetric parameters to assess the whole-body tumor burden and its correlation with prostate-specific antigen (PSA) and Gleason score in patients with biochemically recurrent prostate cancer (PCa). Materials and methods A total of 110 patients referred for 18F-PSMA-1007 PET/CT due to biochemical recurrence were retrospectively analyzed. Whole-body total lesion prostate-specific membrane antigen (wbTl-… Show more

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Cited by 3 publications
(2 citation statements)
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References 34 publications
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“…Routine parameters from 18 F-PSMA-1007 PET/CT, such as SUVmax, SUVmean, and SUVmin, are not adequate to capture the full extent of the disease and the tumor burden. PSMA-TL, a quantitative assessment of tumor load, was shown to correlate significantly with GS and PSA in a previous study ( 26 ). PSMA-TL is increasingly used to assess treatment response to predict prognosis and guide treatment ( 26 28 ).…”
Section: Discussionmentioning
confidence: 76%
See 1 more Smart Citation
“…Routine parameters from 18 F-PSMA-1007 PET/CT, such as SUVmax, SUVmean, and SUVmin, are not adequate to capture the full extent of the disease and the tumor burden. PSMA-TL, a quantitative assessment of tumor load, was shown to correlate significantly with GS and PSA in a previous study ( 26 ). PSMA-TL is increasingly used to assess treatment response to predict prognosis and guide treatment ( 26 28 ).…”
Section: Discussionmentioning
confidence: 76%
“…PSMA-TL, a quantitative assessment of tumor load, was shown to correlate significantly with GS and PSA in a previous study ( 26 ). PSMA-TL is increasingly used to assess treatment response to predict prognosis and guide treatment ( 26 28 ). Prostate volume ≤34 ml was also an independent predictor of pathological upgrading in our study according to the multivariate logistic regression analysis.…”
Section: Discussionmentioning
confidence: 76%