Salvage lymphadenectomy after primary therapy with curative intent for prostate cancer.
Curr Opin Urol
; 33(4): 269-273, 2023 07 01.
Article
em En
| MEDLINE
| ID: mdl-37166270
PURPOSE OF REVIEW: To provide a summary of the current literature on salvage lymph node dissection (sLND) in patients with nodal recurrent prostate cancer (PCa) with focus on imaging, the extent of sLND and oncologic outcomes. RECENT FINDINGS: The clinical practice guidelines recommend performing PET/CT in patients with biochemical recurrence (BCR) after primary therapy. PSMA PET/CT has demonstrated superiority over choline PET/CT and MRI, especially at low prostate-specific antigen (PSA) levels. Although the heterogeneity in available literature does not allow standardization of surgical templates for sLND and PET/CT scan can guide the extent of surgical dissection, an anatomically defined extended template is typically considered. Radio-guided surgery (RGS) suggests an improved positive lymph node yield compared with standard sLND. However, long-term data are needed to evaluate the oncologic impact of sLND. The main aims of sLND are to delay recurrence and to postpone the need for systemic therapy. Available evidence suggests that around 40-80% of men can achieve complete biochemical response after sLND and 10-30% remain BCR free after 5âyears. Robotic sLND might represent an option to reduce the risk of complications without compromising oncological outcomes; validation in controlled prospective studies is, however, needed. SUMMARY: sLND is a valid treatment option for patients with nodal recurrence only after primary therapy for PCa. Further optimization of patient selection based on highly sensitive and specific imaging and clinical factors remains an unmet need. To maximize the benefit of this approach, sLND should be discussed with patients who harbor lymph node-only recurrence after primary therapy in a shared decision-making.
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Base de dados:
MEDLINE
Assunto principal:
Neoplasias da Próstata
/
Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article