AIMC Topic: Graft Survival
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A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction.
Scientific reports
Apr 11, 2019
This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early detection of acute renal transplant rejection. For noninvasive detection of kidney rejection at an early stage, the proposed CAD system is based on the f...
Aged
Young Adult
Adult
Male
Middle Aged
Algorithms
Kidney Transplantation
Prognosis
Female
Risk Factors
Kidney Function Tests
Follow-Up Studies
Graft Rejection
Image Interpretation, Computer-Assisted
Diffusion Magnetic Resonance Imaging
Postoperative Complications
Diagnosis, Computer-Assisted
Adolescent
Graft Survival
Glomerular Filtration Rate
Humans
Neural Networks, Computer
Using machine learning and an ensemble of methods to predict kidney transplant survival.
PloS one
Jan 9, 2019
We used an ensemble of statistical methods to build a model that predicts kidney transplant survival and identifies important predictive variables. The proposed model achieved better performance, measured by Harrell's concordance index, than the Esti...
Renal Function Impairment in Kidney Transplantation: Importance of Early BK Virus Detection.
Transplantation proceedings
Dec 30, 2018
BACKGROUND: BK virus allograft nephropathy is a major complication of kidney transplantation that markedly reduces graft survival (50% graft failure 24 months after being diagnosed). BK virus replication can occur at any time posttransplantation. Vir...
Analysis of Kidney Donation and Its Relationship With Graft Failure of the Recipient at 1 Year.
Transplantation proceedings
Dec 12, 2018
INTRODUCTION: Currently, the shortage of organs available for kidney transplantation and a change in donors' and recipients' profiles (elderly, with cardiovascular risk, donors after cardiac death), it is becoming necessary to assess grafts from expa...
The future is coming: promising perspectives regarding the use of machine learning in renal transplantation.
Jornal brasileiro de nefrologia
Oct 18, 2018
INTRODUCTION: The prediction of post transplantation outcomes is clinically important and involves several problems. The current prediction models based on standard statistics are very complex, difficult to validate and do not provide accurate predic...
Minimally invasive, robot-assisted procedure for kidney transplantation among morbidly obese: Positive outcomes at 5 years post-transplant.
Clinical transplantation
Oct 15, 2018
The pre-transplant weight loss required of end-stage renal disease patients is often unachievable. Though robot-assisted procedures among extremely obese have shown minimal complication, long-term outcomes are understudied. Previously, we reported no...
Risk Factors
Survival Rate
Male
Middle Aged
Time Factors
Humans
Kidney Transplantation
Prognosis
Female
Obesity, Morbid
Follow-Up Studies
Robotics
Graft Survival
Graft Rejection
United States
Minimally Invasive Surgical Procedures
Treatment Outcome
Kidney Failure, Chronic
Glomerular Filtration Rate
Kidney Function Tests
Experience With Hypothermic Machine Perfusion in Expanded Criteria Donors: Functional Outcomes.
Transplantation proceedings
Sep 18, 2018
UNLABELLED: Hypothermic machine perfusion (HMP) decreases delayed graft function (DGF) and improves 1-year graft survival in expanded criteria donors (ECDs). Time of HMP could be associated with incidence of DGF.
A dynamic model for predicting graft function in kidney recipients' upcoming follow up visits: A clinical application of artificial neural network.
International journal of medical informatics
Sep 12, 2018
BACKGROUND: Predicting the function of transplanted kidneys would help clinicians in individualized medical interventions. We aimed to develop and validate a predictive tool for a future value of estimated glomerular filtration rate (eGFR) at upcomin...
A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study.
Scientific reports
Aug 21, 2017
Accurate prediction of graft survival after kidney transplant is limited by the complexity and heterogeneity of risk factors influencing allograft survival. In this study, we applied machine learning methods, in combination with survival statistics, ...
Anatomic and non-anatomic anterior cruciate ligament posterolateral bundle augmentation affects graft function.
Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Jul 29, 2017
PURPOSE: The purpose of this study is to compare knee laxity and graft function (tissue force) between anatomic and non-anatomic posterolateral (PL) bundle augmentation.
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