Recent Innovations in Kidney Transplants

Living donor robotic-assisted kidney transplant compared to traditional living donor open kidney transplant. Where do we stand now? A systematic review and meta-analysis

BACKGROUND

Renal transplant is the standard of care for patients with end-stage renal disease (ESRD). Robotic-assisted kidney transplant (RAKT) has emerged as a safe minimally invasive approach with a lower complication rate than open kidney transplant (OKT). Concerns regarding ischemia times and graft function are still a matter of debate.

METHODS

Following PRISMA guidelines and PROSPERO registration CRD42023413774, a systematic review was performed in March 2023 on RAKT compared to OKT. Primary outcomes of interest were surgical times, ischemia times, blood loss, complication rates, and graft function. Data were analyzed using R version 4.2.2.

RESULTS

A total of nine studies comparing living donor RAKT to living donor OKT were included, totaling 1477 patients, out of which 508 underwent RAKT and 969 OKT. RAKT cases were highly selected as depicted in the manuscript. Cumulative analysis showed significantly longer total ischemic time (MD = 16.51; 95% CI = [9.86-23.16]) and rewarming ischemia time (MD = 11.24; 95% CI = [-0.46-22.01]) in RAKT group. No differences were found in total procedure time and time to complete anastomoses. Blood loss and transfusion rate were lower in RAKT group (MD = -53.68; 95% CI = [-89.78; -17.58]) and (RR = 0.29; 95% CI = [0.14; 0.57]), respectively. The meta-analysis revealed a lower rate of surgical site infection (SSI) (RR = 0.31; 95% CI = [0.19-0.52]) and symptomatic lymphocele (RR = 0.16; 95% CI = [0.06-0.43]) in RAKT. No difference in ileus rate was found. Pain scores were significantly lower in the RAKT group (MD = -1.14; 95% CI = [-1.59 - -0.69]; p ≤0.01). No difference in length of stay and hospital readmission were evidenced. Delayed graft function (DGF) and acute rejection rates were not different between interventions groups (RR =1.23; 95% CI = [0.40-3.74]) and (RR =0.96; 95% CI = [0.55-1.70]), respectively. No difference between groups in early graft outcomes are evident.

CONCLUSIONS

Our analysis suggests that RAKT is a minimally invasive, safe, and feasible procedure. It is associated with a lower complication rate and similar intraoperative, perioperative, and postoperative outcomes. Further quality studies are needed to confirm these findings.

Karpinski Score under Digital Investigation: A Fully Automated Segmentation Algorithm to Identify Vascular and Stromal Injury of Donors’ Kidneys

In kidney transplantations, the evaluation of the vascular structures and stromal areas is crucial for determining kidney acceptance, which is currently based on the pathologist’s visual evaluation. In this context, an accurate assessment of the vascular and stromal injury is fundamental to assessing the nephron status. In the present paper, the authors present a fully automated algorithm, called RENFAST (Rapid EvaluatioN of Fibrosis And vesselS Thickness), for the segmentation of kidney blood vessels and fibrosis in histopathological images. The proposed method employs a novel strategy based on deep learning to accurately segment blood vessels, while interstitial fibrosis is assessed using an adaptive stain separation method. The RENFAST algorithm is developed and tested on 350 periodic acid–Schiff (PAS) images for blood vessel segmentation and on 300 Massone’s trichrome (TRIC) stained images for the detection of renal fibrosis. In the TEST set, the algorithm exhibits excellent segmentation performance in both blood vessels (accuracy: 0.8936) and fibrosis (accuracy: 0.9227) and outperforms all the compared methods. To the best of our knowledge, the RENFAST algorithm is the first fully automated method capable of detecting both blood vessels and fibrosis in digital histological images. Being very fast (average computational time 2.91 s), this algorithm paves the way for automated, quantitative, and real-time kidney graft assessments.