[11C]Acetate positron emission tomography-computed tomography imaging of prostate cancer lymph-node metastases correlated with histopathological findings after extended lymphadenectomy - Abstract

Objective: The aim of this study was to determine the efficacy of combined [11C]acetate positron emission tomography and computed tomography ([11C]acetate-PET/CT) in regional lymph-node staging in patients with prostate cancer (PCa).

Material and Methods: [11C]Acetate-PET/CT was performed in 19 PCa patients who subsequently underwent extended pelvic lymph-node dissection (ePLND). The [11C]acetate-PET/CT results were compared with the surgical and histopathological findings from 13 defined lymph-node regions.

Results:[11C]Acetate-PET/CT was true-positive for lymph-node metastases in nine patients, false-positive in three, false-negative in one patient and true-negative in six. The patient-by-patient-based sensitivity was 90% and the specificity 67%, the positive predictive value (PPV) was 75% and the negative predictive value (NPV) 86%. From a total of 114 nodal regions (mean 5.9 regions per patient), 484 lymph nodes (mean 25.5 nodes per patient) were removed and evaluated histopathologically. Forty-six lymph nodes from 24 out of 114 (21%) nodal regions were positive for PCa metastasis. The nodal-region-based sensitivity of [11C]acetate-PET/CT was 62%, specificity was 89%, PPV 62% and NPV 89%.

Conclusion: [11C]Acetate-PET/CT detects PCa lymph-node metastases with high patient-by-patient-based sensitivity but low specificity, and low nodal-region-based sensitivity but high specificity. Its limited ability to detect microscopic lymph-node involvement makes ePLND essential in all patients diagnosed with positive nodes on [11C]acetate-PET/CT.

Written by:
Schumacher MC, Radecka E, Hellström M, Jacobsson H, Sundin A.   Are you the author?
Department of Urology, Molecular Medicine and Surgery, Karolinska Institutet, Section of Urology, Karolinska University Hospital, Stockholm, Sweden.

Reference: Scand J Urol. 2014 Jul 8:1-8.
doi: 10.3109/21681805.2014.932840


PubMed Abstract
PMID: 25001948

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