Negative predictive value of PSMA PET scan for lymph node staging in patients undergoing robotic radical prostatectomy and pelvic lymph node dissection.
Autor: | Adiyat KT; Aster Medcity, Kochi, India. kishoreta@yahoo.com.; Department of Urology, Aster Medcity, Kuttisahib Road, Cheranelloor, Ernakulam, Kerala, 682027, India. kishoreta@yahoo.com., Pooleri GK; Amrita Institute of Medical Sciences, Kochi, India., Cherian DT; Aster Medcity, Kochi, India., Santhamma SGN; Aster Medcity, Kochi, India., Ravichandran K; Amrita Institute of Medical Sciences, Kochi, India., Sundaram S; Amrita Institute of Medical Sciences, Kochi, India. |
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Jazyk: | angličtina |
Zdroj: | International urology and nephrology [Int Urol Nephrol] 2023 Jun; Vol. 55 (6), pp. 1453-1457. Date of Electronic Publication: 2023 Apr 22. |
DOI: | 10.1007/s11255-023-03595-0 |
Abstrakt: | Purpose: To assess the negative predictive value of PSMA PET scan for lymph node staging in patients undergoing robotic radical prostatectomy and pelvic lymph node dissection. Materials and Methods: A retrospective analysis of patients who underwent robotic-assisted radical prostatectomy with pelvic lymph node dissection and had a preoperative negative PSMA PET scan for metastasis was performed. The documented pre-operative variables studied included age, BMI, PSA at diagnosis, Gleason score, and biopsy ISUP grades. Patients were categorised as low, intermediate and high risk according to the D Amico classification. The post-op variables included were number of lymph nodes harvested, number of positive nodes, positivity rate, size of the node metastasis, T staging and ISUP grading. Results: The overall negative predictive value of PSMA PET scan was 71.6%. Further sub-classification according to risk stratification demonstrated a NPV of 58.02%, 92.7% and 90% for high, intermediate and low risk, respectively. Conclusion: Pelvic lymph node dissection cannot be excluded based on a negative preop PSMA PET/CT scan. (© 2023. The Author(s), under exclusive licence to Springer Nature B.V.) |
Databáze: | MEDLINE |
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