First-in-human real-time AI-assisted instrument deocclusion during augmented reality robotic surgery.

The integration of Augmented Reality (AR) into daily surgical practice is withheld by the correct registration of pre-operative data. This includes intelligent 3D model superposition whilst simultaneously handling real and virtual occlusions caused by the AR overlay. Occlusions can negatively impact surgical safety and as such deteriorate rather than improve surgical care. Robotic surgery is particularly suited to tackle these integration challenges in a stepwise approach as the robotic console allows for different inputs to be displayed in parallel to the surgeon. Nevertheless, real-time de-occlusion requires extensive computational resources which further complicates clinical integration. This work tackles the problem of instrument occlusion and presents, to the authors' best knowledge, the first-in-human on edge deployment of a real-time binary segmentation pipeline during three robot-assisted surgeries: partial nephrectomy, migrated endovascular stent removal, and liver metastasectomy. To this end, a state-of-the-art real-time segmentation and 3D model pipeline was implemented and presented to the surgeon during live surgery. The pipeline allows real-time binary segmentation of 37 non-organic surgical items, which are never occluded during AR. The application features real-time manual 3D model manipulation for correct soft tissue alignment. The proposed pipeline can contribute towards surgical safety, ergonomics, and acceptance of AR in minimally invasive surgery.

Robot-assisted Radical Prostatectomy Performed with Different Robotic Platforms: First Comparative Evidence Between Da Vinci and HUGO Robot-assisted Surgery Robots.

BACKGROUND: In the field of robotic surgery, there is a lack of comparative evidence on surgical and functional outcomes of different robotic platforms. OBJECTIVE: To assess the outcomes of patients receiving robot-assisted radical prostatectomy (RARP) at a high-volume robotic center with daVinci and HUGO robot-assisted surgery (RAS) surgical systems. DESIGN, SETTING, AND PARTICIPANTS: We analyzed the data of 542 patients undergoing RARP ± extended pelvic lymph node dissection at OLV hospital (Aalst, Belgium) between 2021 and 2023. All procedures were performed by six surgeons using daVinci or HUGO RAS robots; the use of one platform rather than the other did not follow any specific preference and/or indication. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Multivariable analyses investigated the association between robotic system (daVinci vs HUGO RAS) and surgical outcomes after adjustment for patient- and tumor-related factors. Urinary continence recovery was defined as the use of no/one safety pad. RESULTS AND LIMITATIONS: A total of 378 (70%) and 164 (30%) patients underwent RARP with daVinci and HUGO RAS surgical systems, respectively. Despite a higher rate of palpable disease in the HUGO RAS group (34% vs 25%), baseline characteristics did not differ between the groups (all p > 0.05). After adjusting for confounders, we did not find evidence of a difference between the groups with respect to operative time (estimate: 16.71; 95% confidence interval [CI]: -6.35, 39.78; p = 0.12), estimated blood loss (estimate: 3.12; 95% CI: -67.03, 73.27; p = 0.9), and postoperative Clavien-Dindo ≥2 complications (odds ratio [OR]: 1.66; 95% CI: 0.34, 8.15; p = 0.5). On final pathology, 55 (15%) and 20 (12%) men in, respectively, the daVinci and the HUGO RAS group had positive surgical margins (PSMs; p = 0.5). On multivariable analyses, we did not find evidence of an association between a robotic system and PSMs (OR: 1.08; 95% CI: 0.56, 2.07; p = 0.8). Similarly, the odds of recovering continence did not differ between daVinci and HUGO RAS cases after both 1 mo (OR: 0.78; 95% CI: 0.45, 1.38; p = 0.4) and 3 mo (OR: 1.17; 95% CI: 0.49, 2.79; p = 0.7). CONCLUSIONS: Among patients receiving RARP with daVinci or HUGO RAS surgical platforms, we did not find differences in surgical and functional outcomes between the robots. This may be a result of a standardized surgical technique that allowed surgeons to transfer their skills between robotic systems. Awaiting future investigations with longer follow-up, these results have important implications for patients, surgeons, and health care policymakers. PATIENT SUMMARY: We compared surgical and functional outcomes of patients receiving robot-assisted radical prostatectomy with daVinci versus HUGO robot-assisted surgery (RAS) robots. The two platforms were able to achieve similar outcomes, suggesting that the introduction of HUGO RAS is safe and allows for optimal outcomes after radical prostatectomy.

Is 11C-choline Positron Emission Tomography/Computed Tomography Accurate to Detect Nodal Relapses of Prostate Cancer After Biochemical Recurrence? A Multicentric Study Based on Pathologic Confirmation from Salvage Lymphadenectomy.

BACKGROUND: A 11C-choline positron emission tomography/computed tomography (PET/CT) scan is used for restaging prostate cancer (PCa) patients with biochemical recurrence (BCR). Only a few reports have focused on the correlation between PET/CT and nodal relapse location at pathologic examination. OBJECTIVE: To assess the accuracy of PET/CT in predicting the site of nodal relapses in patients undergoing pelvic and/or retroperitoneal salvage lymph node dissection (sLND). DESIGN, SETTING, AND PARTICIPANTS: Multicentric retrospective study including 106 patients with BCR of PCa after radical treatment; all patients but six had a PET/CT showing at least one nodal recurrence and received sLND. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: PET/CT results were compared with histologic findings and analyzed in terms of sensitivity, specificity, and accuracy. Multivariable regression analyses were performed. RESULTS AND LIMITATIONS: Overall sensitivity, specificity, negative and positive predictive value, and accuracy of PET/CT for disease location were 61.6%, 79.3%, 66.3%, 75.7%, and 70.2%, respectively. Sensitivity was 75.5% in the lower pelvis with 69.8% specificity. The retroperitoneal region had high specificity (94.7%) but a relatively low sensitivity (58.3%). The sLNDs did not find any positive nodes in 16 patients (15%). According to regression analyses, discriminative accuracy of PET/CT was 70.4% and improved with an increased number of dissected nodes and prostate-specific antigen doubling time <12 mo. Limitations include retrospective design and lack of a standardized sLND template followed for all patients. CONCLUSIONS: The ability of PET/CT to detect nodal relapses is limited by a high false-positive rate, particularly in the iliac-obturator region and, more alarmingly, a high false-negative rate in the common iliac, sacral, and retroperitoneal regions. An extended template including pelvic and retroperitoneal regions should be adopted when sLND is planned for curative intent. PATIENT SUMMARY: The 11C-choline positron emission tomography/computed tomography scan is a commonly used tool to restage prostate cancer patients with biochemical recurrence, showing an overall per patient accuracy >80%; however, its ability to detect the site of nodal relapses remains suboptimal.

Incidental Detection of Occult Thyroid Carcinoma with 11C-Choline PET/CT for High Risk Prostate Cancer.

We report a case of a 65-year-old male patient with high-risk prostate cancer, re-staged with 11C-choline positron emission tomography/computed tomography (PET/CT) for prostate specific antigen recurrences 3 years after radical prostatectomy and adjuvant radiation therapy. In addition to 2 suspicious presacral lymph nodes which were resected and proven to be metastatic, PET/CT revealed a very high uptake in a calcified thyroid nodule. Evaluation with fine needle aspiration was suspicious for thyroid carcinoma and the patient underwent total thyroidectomy, confirming a non-metastatic encapsulated follicular variant of papillary thyroid carcinoma. To our knowledge, this is the first report of a thyroid cancer diagnosed with 11C-choline PET/CT for prostate cancer staging.