Navigating the diagnostic 'gray zone': prospective evaluation of an integrated MRI-Biomarker model for renal allograft triage.

Zhouyan Liao¹, Siyuan Ma¹, Ziyi Liu¹, Hao Tang¹, Baodi Deng¹, Jie Zhang¹, Ting Yin², Wei Chen², Omar Darwish³, Qiuxia Wang¹, Gen Chen¹, Jeong Min Lee^4,5, Zhen Li^1,6

¹Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

²MR Research Collaboration Team, Siemens Healthineers Ltd, Shanghai, China.

³MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany.

⁴Department of Radiology, Seoul National University Hospital, Seoul, South Korea.

⁵Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, South Korea.

⁶National Center for Public Health Emergency Management, Wuhan, Hubei, China.

PubMed PMC DOI PDF

Abstract

BACKGROUND: A critical dilemma in post-transplant surveillance is determining when minor functional changes (subtle serum creatinine fluctuations or slow renal function decline) or ambiguous ultrasound findings (including mildly elevated resistive index or cortical echogenicity) warrant invasive biopsy and treatment modification. We aimed to develop a non-invasive integrated tool combining advance…

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