Background and objective <p>Intraoperative identification of suspicious lymph node metastases (LNM) detected at PSMA-PET is key to achieve optimal surgical outcomes of robot-assisted radical prostatectomy (RARP) with pelvic lymph node dissection (PLND). We aim to describe a novel technique of augmented reality (AR)-PSMA-3D guided PLND based on preoperative PSMA-PET for real-time identification of LNM.</p> Methods <p>Thirteen patients with high-risk PCa and miN1-2 or miM1a disease at PSMA-PET were prospectively enrolled. 3D segmentation model including suspicious LNM was created from PSMA-PET images.</p> Intervention <p>Patients underwent RARP with AR-PSMA-3D guided PLND for real-time intraoperative identification of suspicious LNM. Pathologic examination was used as reference standard.</p> Key findings and limitations <p>Four (30%) men had suspicious LNM at PSMA-PET outside the field of the PLND template. The AR-PSMA-3D guided PLND allow to dissect each region with suspected LNM at PSMA-PET with no intraoperative complications. Nine (69%) patients had pN1 disease and three (23%) men had nodal metastases outside the PLND template. The sensitivity, specificity, PPV, NPV and AUC of AR-PSMA-3D guided PLND at a per-region analysis were 69%, 90%, 52%, 95% and 0.79, respectively. Limitations: low spatial resolution of PSMA-PET for micro-metastases and the need for manual alignment of the 3D model.</p> Conclusions and clinical implications <p>AR-PSMA-3D guidance for PLND in patients with miN1-N2-M1a disease at PSMA-PET allows to facilitate the resection of suspicious LNM including those outside the PLND template.</p> Patient summary <p>We propose a novel technique combining AR and PSMA-PET 3D models to guide PLND during RARP in PCa patients. The AR-PSMA-3D guidance for PLND allows a promising real-time identification of suspicious nodes, even outside the PLND template.</p>

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Augmented Reality PSMA-3D guided robotic pelvic lymph node dissection (PLND) in prostate cancer patients

  • L. Bianchi,
  • A. Mottaran,
  • B. Bortolani,
  • L. Cercenelli,
  • A. Farolfi,
  • R. Scarlatti,
  • P. Piazza,
  • M. Ragni,
  • M. Droghetti,
  • F. Chessa,
  • M. Salvador,
  • C. Gaudiano,
  • F. Giunchi,
  • M. Barbagallo,
  • A. Borriello,
  • M. Fiorentino,
  • P. Castellucci,
  • C. Mosconi,
  • E. Marcelli,
  • S. Fanti,
  • R. Schiavina,
  • E. Brunocilla

摘要

Background and objective

Intraoperative identification of suspicious lymph node metastases (LNM) detected at PSMA-PET is key to achieve optimal surgical outcomes of robot-assisted radical prostatectomy (RARP) with pelvic lymph node dissection (PLND). We aim to describe a novel technique of augmented reality (AR)-PSMA-3D guided PLND based on preoperative PSMA-PET for real-time identification of LNM.

Methods

Thirteen patients with high-risk PCa and miN1-2 or miM1a disease at PSMA-PET were prospectively enrolled. 3D segmentation model including suspicious LNM was created from PSMA-PET images.

Intervention

Patients underwent RARP with AR-PSMA-3D guided PLND for real-time intraoperative identification of suspicious LNM. Pathologic examination was used as reference standard.

Key findings and limitations

Four (30%) men had suspicious LNM at PSMA-PET outside the field of the PLND template. The AR-PSMA-3D guided PLND allow to dissect each region with suspected LNM at PSMA-PET with no intraoperative complications. Nine (69%) patients had pN1 disease and three (23%) men had nodal metastases outside the PLND template. The sensitivity, specificity, PPV, NPV and AUC of AR-PSMA-3D guided PLND at a per-region analysis were 69%, 90%, 52%, 95% and 0.79, respectively. Limitations: low spatial resolution of PSMA-PET for micro-metastases and the need for manual alignment of the 3D model.

Conclusions and clinical implications

AR-PSMA-3D guidance for PLND in patients with miN1-N2-M1a disease at PSMA-PET allows to facilitate the resection of suspicious LNM including those outside the PLND template.

Patient summary

We propose a novel technique combining AR and PSMA-PET 3D models to guide PLND during RARP in PCa patients. The AR-PSMA-3D guidance for PLND allows a promising real-time identification of suspicious nodes, even outside the PLND template.