Artificial Intelligence-Based Hyper Accuracy Three-Dimensional (HA3D®) Models in Surgical Planning of Challenging Robotic Nephron-Sparing Surgery: A Case Report and Snapshot of the State-of-the-Art with Possible Future Implications.

Recently, 3D models (3DM) gained popularity in urology, especially in nephron-sparing interventions (NSI). Up to now, the application of artificial intelligence (AI) techniques alone does not allow us to obtain a 3DM adequate to plan a robot-assisted partial nephrectomy (RAPN). Integration of AI with computer vision algorithms seems promising as it allows to speed up the process. Herein, we present a 3DM realized with the integration of AI and a computer vision approach (CVA), displaying the utility of AI-based Hyper Accuracy Three-dimensional (HA3D®) models in preoperative planning and intraoperative decision-making process of challenging robotic NSI. A 54-year-old Caucasian female with no past medical history was referred to the urologist for incidental detection of the right renal mass. Preoperative contrast-enhanced abdominal CT confirmed a 35 × 25 mm lesion on the anterior surface of the upper pole (PADUA 7), with no signs of distant metastasis. CT images in DICOM format were processed to obtain a HA3D® model. RAPN was performed using Da Vinci Xi surgical system in a three-arm configuration. The enucleation strategy was achieved after selective clamping of the tumor-feeding artery. Overall operative time was 85 min (14 min of warm ischemia time). No intra-, peri- and post-operative complications were recorded. Histopathological examination revealed a ccRCC (stage pT1aNxMx). AI is breaking new ground in medical image analysis panorama, with enormous potential in organ/tissue classification and segmentation, thus obtaining 3DM automatically and repetitively. Realized with the integration of AI and CVA, the results of our 3DM were accurate as demonstrated during NSI, proving the potentialities of this approach for HA3D® models' reconstruction.

Three-dimensional imaging reconstruction and laparoscopic robotic surgery: a winning combination for a complex case of multiple myomectomy.

OBJECTIVE: To demonstrate the intraoperative use of three-dimensional (3D) imaging reconstruction for a complex case of multiple myomectomy assigned to robot-assisted laparoscopic surgery. DESIGN: Stepwise demonstration of the technique with narrated video footage. SETTING: University tertiary care hospital. PATIENT(S): A 36-year-old nulliparous infertile woman with multiple uterine myomas (>20) presented with menorrhagia and pelvic discomfort for many months. Because of the huge number of fibroids present, the patient was considered eligible for laparoscopic robotic-assisted myomectomy. INTERVENTION(S): A robotic-assisted laparoscopic myomectomy was performed with the use of intraoperative 3D imaging reconstruction. After opening the retroperitoneum through the adnexal triangle and identifying the ureters, to reduce intraoperative bleeding, bulldog clamps were used to temporarily reduce uterine vascularization. A multiple myomectomy was then performed with the use of tenaculum and Maryland bipolar forceps. During the intervention, the surgeon used the 3D uterine reconstruction to adapt its surgical strategy. Multilayer running closure was achieved using a bidirectional barbed suture ensuring introflexion of the serosa. Patients' consent was obtained for publication of the case; institutional review board approval was not required for this case report as per our institution's policy. MAIN OUTCOME MEASURE(S): Description of a robotic-assisted myomectomy with the intraoperative use of 3D imaging reconstruction. RESULT(S): The total operative time was 105 minutes. A total of 21 fibroids were removed with 150 mL of intraoperative blood loss. The patient was discharged the day after. CONCLUSION(S): The application of 3D imaging technology could overcome one of the limitations of robot-assisted minimally invasive surgery, the lack of haptic feedback, enabling the surgeon to rapidly locate myomas and guide the intraoperative plan to optimize the results. Additional studies evaluating the clinical impact of this technique and its improvement are required.

Double glomerulopathies or two-faced janus? A challenging case in the COVID-19 era.

SARS-CoV-2 very often causes kidney involvement through various mechanisms including: acute tubular injury, virus cell invasion, vascular damage due to hypercoagulability and finally dysregulation of the immune system. Even though there are no pathognomonic morphologic features that can rule out or confirm direct damage by SARS-CoV-2, the latest literature suggests that there may be some association. SARS-CoV-2 infection represents a poor prognostic factor, regardless of pulmonary involvement. We report a challenging case with complex renal biopsy findings suggestive of collapsing glomerulopathy and focal proliferative IgA-dominant glomerulonephritis in a patient affected by active hepatitis C virus (HCV), SARS-CoV-2 infection and personal history of cocaine abuse.

Technical aspects to maximize the hyperaccuracy three-dimensional (HA3D™) computed tomography reconstruction for kidney stones surgery: a pilot study.

The aim of the current prospective pilot study was to describe a hyperaccuracy three-dimensional (HA3D™) model reconstruction technique, specifically developed to maximize the visualization of the renal collecting system's anatomy, and its relationship with the stones, vessels and renal parenchyma, and to compare the HA3D™ virtual models with the intraoperative findings. The image acquisition was performed using a CT scanner (Toshiba, Aquilion Prime) and included the unenhanced, arterial, venous and excretory phases. The DICOM format CT images were processed by MEDICS Srl ( www.medics3d.com , Turin, Italy). In total, study included three patients with renal stone scheduled for non-papillary prone percutaneous nephrolithotomy (PCNL). The median age and BMI were 51 (range 49-54) and 25.5 (range 25.0-32.7), respectively. The median stone size was 1170 mm2 (range 830-1520) and median stone density was 1130 HU (range 600-1340). In all cases, the quality of the CT images acquired with our protocol was adequate to perform the HA3D™ reconstruction. Median operative and puncture time were 39.4 (range 35.2-44.0) and 1.9 (range 1.8-2.1) mins, respectively. The success rate for the first attempt of the percutaneous puncture was 100%, and only one PCNL tract was sufficient to complete the surgery. All three patients were stone-free on the third postoperative day. A dedicated imaging acquisition protocol and a tailored 3D model reconstruction process specifically developed for kidney stones treatment allow obtaining HA3D™ highly relevant models to greatly match intraoperative findings during PCNL with the potential of minimizing bleeding and organ injury complications.

Renal dysfunction in psoriatic patients.

Psoriasis is a common chronic inflammatory disease of the skin that is increasingly being considered as a systemic inflammatory disorder due to its association with cardiovascular, metabolic, pulmonary, renal, liver, and neurologic diseases. Renal involvement is rare but well documented and psoriasis is recognized as an independent factor for CKD and ESKD. A careful monitoring of the urinalysis and of renal function is recommended in psoriatic patients, especially those with moderate-to-severe disease. In case of pathologic findings, the execution of a renal biopsy appears necessary to make an accurate diagnosis and to establish the most appropriate therapeutic strategies to prevent the progression of kidney damage. The mechanisms of kidney involvement are different and not yet fully clarified. We present here two case reports of renal dysfunction during psoriasis. In one case, we diagnosed IgA nephropathy with particularly severe clinical presentation; in the other, an advanced kidney injury due to nephrotoxicity after prolonged CNI treatment.