Quarta Leonardo, Cannoletta Donato, Pellegrino Francesco, Barletta Francesco, Scuderi Simone, Mazzone Elio, Stabile Armando, Montorsi Francesco, Gandaglia Giorgio, Briganti Alberto
Unit of Urology, Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, URI, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.
Vita-Salute San Raffaele University, 20132 Milan, Italy.
Cancers (Basel). 2025 Apr 23;17(9):1401. doi: 10.3390/cancers17091401.
Emerging imaging-guided technologies, such as prostate-specific membrane antigen radioguided surgery (PSMA-RGS) and augmented reality (AR), could enhance the precision and efficacy of robot-assisted prostate cancer (PCa) surgical approaches, maximizing the surgeons' ability to remove all cancer sites and thus patients' outcomes. Sentinel node biopsy (SNB) represents an imaging-guided technique that could enhance nodal staging accuracy by leveraging lymphatic mapping with tracers. PSMA-RGS uses radiolabeled tracers with the aim to improve intraoperative lymph node metastases (LNMs) detection. Several studies demonstrated its feasibility and safety, with promising accuracy in nodal staging during robot-assisted radical prostatectomy (RARP) and in recurrence setting during salvage lymph node dissection (sLND) in patients who experience biochemical recurrence (BCR) after primary treatment and have positive PSMA positron emission tomography (PET). Near-infrared PSMA tracers, such as OTL78 and IS-002, have shown potential in intraoperative fluorescence-guided surgery, improving positive surgical margins (PSMs) and LNMs identification. Finally, augmented reality (AR), which integrates preoperative imaging (e.g., multiparametric magnetic resonance imaging [mpMRI] of the prostate and computed tomography [CT]) onto the surgical field, can provide a real-time visualization of anatomical structures through the creation of three-dimensional (3D) models. These technologies may assist surgeons during intraoperative procedures, thus optimizing the balance between oncological control and functional outcomes. However, challenges remain in standardizing these tools and assessing their impact on long-term PCa control. Overall, these advancements represent a paradigm shift toward personalized and precise surgical approaches, emphasizing the integration of innovative strategies to improve outcomes of PCa patients.
新兴的影像引导技术,如前列腺特异性膜抗原放射性引导手术(PSMA-RGS)和增强现实(AR),可以提高机器人辅助前列腺癌(PCa)手术方法的精准度和疗效,最大限度地提升外科医生切除所有癌灶的能力,进而改善患者的治疗效果。前哨淋巴结活检(SNB)是一种影像引导技术,通过利用示踪剂进行淋巴绘图可提高淋巴结分期的准确性。PSMA-RGS使用放射性标记示踪剂,旨在改善术中淋巴结转移(LNMs)的检测。多项研究证明了其可行性和安全性,在机器人辅助根治性前列腺切除术(RARP)期间的淋巴结分期以及在初次治疗后发生生化复发(BCR)且PSMA正电子发射断层扫描(PET)呈阳性的患者进行挽救性淋巴结清扫(sLND)的复发情况下,其在淋巴结分期方面具有可观的准确性。近红外PSMA示踪剂,如OTL78和IS-002,已在术中荧光引导手术中显示出潜力,可改善阳性手术切缘(PSMs)和LNMs的识别。最后,增强现实(AR)将术前成像(例如前列腺的多参数磁共振成像[mpMRI]和计算机断层扫描[CT])整合到手术视野中,通过创建三维(3D)模型提供解剖结构的实时可视化。这些技术可在术中为外科医生提供协助,从而优化肿瘤控制与功能结果之间的平衡。然而,在标准化这些工具以及评估它们对PCa长期控制的影响方面仍存在挑战。总体而言,这些进展代表了向个性化和精确手术方法的范式转变,强调了整合创新策略以改善PCa患者的治疗效果。