Chronic kidney disease (CKD) affects about 10% of the global population, and if not diagnosed early, it can lead to end-stage renal failure. Early diagnosis and active monitoring are critical. Prof. Michael Ying Tin-cheung, Professor and Associate Head of the Department of Health Technology and Informatics and his team have successfully developed Smart-CKD (S-CKD), a non-invasive computer-aided diagnostic tool. It integrates ultrasound data and selected clinical variables to provide clinical insights and assesses the risk of moderate-to-severe renal fibrosis progression in CKD patients with a promising diagnostic efficiency of 80%.
Prof. Ying has recently been featured in a media interview, introducing that S-CKD integrates three pivotal clinical parameters - age, ultrasonic renal length and end-diastolic flow velocity of the interlobar renal artery, to assist medical practitioners in assessing renal fibrosis risk in CKD patients during routine clinical practices. It plays a crucial role in guiding treatment decisions and improving patient prognosis.
Unlike traditional kidney biopsies, S-CKD offers a safer, non-invasive alternative for precise monitoring and clinical management of renal fibrosis, bringing hope to countless patients with the help of technology.
RTHK Interview Replay (In Chinese Only): https://polyu.me/3zcJbwz (09:43 - 14:16)