Title |
68Ga-PSMA Positron Emission Tomography/Computed Tomography Provides Accurate Staging of Lymph Node Regions Prior to Lymph Node Dissection in Patients with Prostate Cancer
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Published in |
European Urology, January 2016
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DOI | 10.1016/j.eururo.2015.12.051 |
Pubmed ID | |
Authors |
Annika Herlemann, Vera Wenter, Alexander Kretschmer, Kolja M. Thierfelder, Peter Bartenstein, Claudius Faber, Franz-Josef Gildehaus, Christian G. Stief, Christian Gratzke, Wolfgang P. Fendler |
Abstract |
We evaluated the accuracy of (68)Ga-prostate-specific membrane antigen-HBED-CC ((68)Ga-PSMA) positron emission tomography/computed tomography (PET/CT) for nodal staging prior to lymph node dissection (LND) in patients with prostate cancer (PCa). Thirty-four patients with histologically proven PCa underwent (68)Ga-PSMA-HBED-CC PET/CT prior to radical prostatectomy with primary LND (pLND; n=20) and PET/CT prior to secondary LND (sLND; n=14). Accuracy of PET and CT were analysed separately for staging of the following 71 lymph node (LN) regions: pelvic left (n=30), pelvic right (n=31), presacral (n=3), and para-aortic (n=7). Postoperative histopathology was taken as a reference standard. Thirty-seven of 71 (52%) regions showed LN metastases on histopathology. Sensitivity, specificity, positive predictive value, and negative predictive value for detection of LN metastases were 84%, 82%, 84%, and 82% for PET criteria and 65%, 76%, 75%, and 67% for CT criteria. PET was more accurate for nodal staging compared with CT both at pLND (88% vs 75%) and sLND (77% vs 65%). Overall, (68)Ga-PSMA PET/CT provides accurate nodal staging prior to pLND and sLND for PCa. PATIENT SUMMARY: (68)Ga-PSMA positron emission tomography/computed tomography is accurate in detecting tumour spread to lymph nodes before patients undergo surgery for prostate cancer. |
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France | 2 | 50% |
United States | 2 | 50% |
Demographic breakdown
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Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Scientists | 1 | 25% |
Mendeley readers
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Germany | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 166 | 99% |
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Researcher | 27 | 16% |
Other | 21 | 13% |
Student > Postgraduate | 19 | 11% |
Student > Master | 13 | 8% |
Student > Bachelor | 11 | 7% |
Other | 30 | 18% |
Unknown | 47 | 28% |
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Nursing and Health Professions | 5 | 3% |
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Biochemistry, Genetics and Molecular Biology | 2 | 1% |
Other | 9 | 5% |
Unknown | 56 | 33% |