"AI Predicts Risk of Older Kidney Donors, Decides Transplantation"
Aug 26, 2024
Although kidney transplantation is a fundamental treatment method for end-stage renal disease patients to live a healthy new life, donors should decide to transplant considering not only the risk of transplantation but also long-term health problems.
In particular, with the recent aging society, the number of elderly kidney donors is increasing, and elderly donors are at high risk of developing high blood pressure and proteinuria after kidney donation, and there is a concern that it can lead to chronic kidney disease due to loss of organ renal function.
In predicting renal function loss in kidney donors, the renal cortex is reported to be a substantial renal functioning site, and the renal cortical volume measurement index plays an important role in predicting renal function loss. In the meantime, the method of measuring renal cortical volume through computed tomography (CT) imaging has been cumbersome and difficult.
In the midst of this, a research team led by Professor Cho Eun-ah of transplant vascular surgery at Chung-Ang University Hospital and Professor Min Sang-il of Seoul National University Hospital recently developed a model that can measure the volume of kidney cortex using artificial intelligence (AI) and published The Role of Artificial Intelligence Measurement Kidney Volume in Prediction Kidney Function Loss in Elderly Kidney Donors: a Multicenter Coghort Study.
Professor Cho Eun-ah's research team has developed an artificial intelligence (AI) model that can quickly and accurately measure the volume of the renal cortex through computed tomography (CT) images.
This automation model automatically finds and divides the renal cortex when only the CT image is posted to measure the volume.
Using artificial intelligence (AI) models, the research team measured kidney cortical volume with preoperative CT of 1,074 donors who donated kidneys from 2010 to 2020, and evaluated whether the volume of kidneys left after transplantation predicted the degree of renal function loss after donation.
As a result, the renal cortical volume in elderly renal donors experienced a sharp decrease in renal function as it decreased due to aging compared to younger donors, which was found to correlate with decreased renal function, especially in older donors up to 3 years after transplantation.
Older kidney donors showed a greater decrease in glomerular filtration rate (eGFR), the amount of blood that the kidney filters out for one minute, which is an indicator of renal function after donation, compared to younger donors.
However, donors with larger renal cortical volumes before surgery were found to have relatively less renal functional reduction than donors with smaller renal cortical volumes (eGFR), and even in older ages, greater renal cortical volumes were found to have less renal functional decline after transplantation.
Professor Euna Cho "Through this study, using artificial intelligence, we found that preoperative renal volumetric measurements in kidney donors can be an important indicator for predicting renal function loss after donation.""By applying this to actual donor evaluation, we are able to make important technological advances that enable safer donation decisions for older kidney donors"
Professor Min Sang-il said "Using artificial functional technology, we precisely and quickly performed analysis or measurements that used to be time consuming and difficult."We expect this renal cortical volume measurement model to contribute significantly to the screening and evaluation process of renal donors."," he said.
Meanwhile, the research team led by Professor Cho Eun-ah was published in the latest issue of the international journal of Surgery 'International Journal of Surgery (IF=15.3)' and listed as a paper by the Biological Research Information Center (BRIC) 'HAN Bitsa'.
In particular, with the recent aging society, the number of elderly kidney donors is increasing, and elderly donors are at high risk of developing high blood pressure and proteinuria after kidney donation, and there is a concern that it can lead to chronic kidney disease due to loss of organ renal function.
In predicting renal function loss in kidney donors, the renal cortex is reported to be a substantial renal functioning site, and the renal cortical volume measurement index plays an important role in predicting renal function loss. In the meantime, the method of measuring renal cortical volume through computed tomography (CT) imaging has been cumbersome and difficult.
In the midst of this, a research team led by Professor Cho Eun-ah of transplant vascular surgery at Chung-Ang University Hospital and Professor Min Sang-il of Seoul National University Hospital recently developed a model that can measure the volume of kidney cortex using artificial intelligence (AI) and published The Role of Artificial Intelligence Measurement Kidney Volume in Prediction Kidney Function Loss in Elderly Kidney Donors: a Multicenter Coghort Study.
Professor Cho Eun-ah's research team has developed an artificial intelligence (AI) model that can quickly and accurately measure the volume of the renal cortex through computed tomography (CT) images.
This automation model automatically finds and divides the renal cortex when only the CT image is posted to measure the volume.
Using artificial intelligence (AI) models, the research team measured kidney cortical volume with preoperative CT of 1,074 donors who donated kidneys from 2010 to 2020, and evaluated whether the volume of kidneys left after transplantation predicted the degree of renal function loss after donation.
As a result, the renal cortical volume in elderly renal donors experienced a sharp decrease in renal function as it decreased due to aging compared to younger donors, which was found to correlate with decreased renal function, especially in older donors up to 3 years after transplantation.
Older kidney donors showed a greater decrease in glomerular filtration rate (eGFR), the amount of blood that the kidney filters out for one minute, which is an indicator of renal function after donation, compared to younger donors.
However, donors with larger renal cortical volumes before surgery were found to have relatively less renal functional reduction than donors with smaller renal cortical volumes (eGFR), and even in older ages, greater renal cortical volumes were found to have less renal functional decline after transplantation.
Professor Euna Cho "Through this study, using artificial intelligence, we found that preoperative renal volumetric measurements in kidney donors can be an important indicator for predicting renal function loss after donation.""By applying this to actual donor evaluation, we are able to make important technological advances that enable safer donation decisions for older kidney donors"
Professor Min Sang-il said "Using artificial functional technology, we precisely and quickly performed analysis or measurements that used to be time consuming and difficult."We expect this renal cortical volume measurement model to contribute significantly to the screening and evaluation process of renal donors."," he said.
Meanwhile, the research team led by Professor Cho Eun-ah was published in the latest issue of the international journal of Surgery 'International Journal of Surgery (IF=15.3)' and listed as a paper by the Biological Research Information Center (BRIC) 'HAN Bitsa'.
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