首页|Department of Urology Reports Findings in Kidney Transplants (Robotic-assisted n ative pyeloureterostomy with indocyanine green, after kidney transplantation)

Department of Urology Reports Findings in Kidney Transplants (Robotic-assisted n ative pyeloureterostomy with indocyanine green, after kidney transplantation)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Transplant Medicine - Kidney Transplants is the subject of a report. According to news reporting out o f Meaux, France, by NewsRx editors, research stated, “Postoperative ureteral str ictures and vesicoureteral reflux after ureteroneocystostomy for kidney transpla nt can be managed by endoscopic procedures like balloon dilation and endoscopic injections. Complicated/recurrent cases, however, are usually managed by reconst ructive surgery.” Our news journalists obtained a quote from the research from the Department of U rology, “We hereby highlight our technique of robotic-assisted native pyelourete rostomy with indocyanine green (ICG). A 57- year-old woman, diagnosed with grade 4 vesicoureteral reflux on her transplanted kidney, was considered a candidate f or ureteral reimplantation. After an endoscopic part, where the ICG is inserted into the renal pelvis, we proceed with the robotic native pyeloureterostomy. The renal pelvis of the transplanted kidney was identified with the help of the ICG in firefly mode. After the dissection of the graft pelvis, we performed a tensi on-free pyeloureterostomy using the native ureter. The postoperative course was uneventful and the patient was discharged on the third postoperative day. Roboti c-assisted pyelo-ureterostomy appears as a safe and efficient technique for mana gement of complicated urological complications postrenal transplantation using t he native ureter. Intrapelvic ICG injection, not possible with open surgery, hel ps identifying the grafted pelvis thus reducing operative time and avoiding unne cessary dissection of the vascular hilum of the graft.”

MeauxFranceEuropeBiomedicineEmer ging TechnologiesHealth and MedicineKidney TransplantationKidney Transplan tsMachine LearningOrgan TransplantsRoboticsRobotsSurgeryTransplant M edicineTransplantationUrologic Surgical Procedures

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.6)