2020
DOI: 10.2967/jnumed.120.242057
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Semiautomatically Quantified Tumor Volume Using 68Ga-PSMA-11 PET as a Biomarker for Survival in Patients with Advanced Prostate Cancer

Abstract: Prostate-specific membrane antigen (PSMA)-targeting PET imaging is becoming the reference standard for prostate cancer staging, especially in advanced disease. Yet, the implications of PSMA PET-derived whole-body tumor volume for overall survival are poorly elucidated to date. This might be because semiautomated quantification of whole-body tumor volume as a PSMA PET biomarker is an unmet clinical challenge. Therefore, in the present study we propose and evaluate a software that enables the semiautomated quant… Show more

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Cited by 92 publications
(102 citation statements)
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“…The Münster cohort was previously employed for an analysis of SUV metrics [15]. The previously reported patient cohort (n = 40) that was used for a preliminary technical analysis is also included in this study [13]. Patients from Essen have been reported previously in a study investigating diffuse bone marrow involvement [16].…”
Section: Patients and Eligibility For [ 177 Lu]lu-psma-617 Therapymentioning
confidence: 99%
See 4 more Smart Citations
“…The Münster cohort was previously employed for an analysis of SUV metrics [15]. The previously reported patient cohort (n = 40) that was used for a preliminary technical analysis is also included in this study [13]. Patients from Essen have been reported previously in a study investigating diffuse bone marrow involvement [16].…”
Section: Patients and Eligibility For [ 177 Lu]lu-psma-617 Therapymentioning
confidence: 99%
“…A research software prototype was used for image analysis (MIWBAS, version 1.0, Siemens Medical Solutions USA, Inc., Knoxville, TN, USA). Semi-automated PSMA PET lesion delineation was done as described elsewhere [13]. For segmentation, a liver specific threshold was employed: threshold = (4.3 / liver SUV mean ) * (liver SUV mean + liver SUV standard deviation ).…”
Section: Pet Image Analysismentioning
confidence: 99%
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