Radiologic evaluation of the kidney transplant donor and recipient.
Reece J GoiffonJena DepetrisLeigh Anne DagefordeAvinash R KambadakonePublished in: Abdominal radiology (New York) (2024)
The kidney is the most common solid organ transplant globally and rates continue to climb, driven by the increasing prevalence of end stage renal disease (ESRD). Compounded by advancements in surgical techniques and immunosuppression leading to longer graft survival, radiologists evermore commonly evaluate kidney transplant patients and candidates, underscoring their role along the transplant process. Multiphase computed tomography (CT) with multiplanar and 3D reformatting is the primary method for evaluating renal donor candidates, detailing renal size, vascular/collecting system anatomy, and identifying significant pathologies such as renal vascular diseases and nephrolithiasis. Ultrasound is the preferred initial postoperative imaging modality for graft evaluation due to its low cost, accessibility, noninvasiveness, and lack of radiation. CT and magnetic resonance imaging (MRI) may be useful adjunctive imaging techniques in diagnosing transplant pathology when ultrasound alone is not diagnostic. Kidney transplant complications are categorized by an approximate timeline framework, aiding in differential diagnosis based on onset, duration, and severity and include perinephric fluid collections, graft compression, iatrogenic injuries, vascular compromise, graft rejection, and neoplastic processes. This review discusses imaging strategies and important findings along the transplant timeline, from donor assessment to long-term recipient complications.
Keyphrases
- end stage renal disease
- magnetic resonance imaging
- chronic kidney disease
- computed tomography
- contrast enhanced
- peritoneal dialysis
- high resolution
- dual energy
- low cost
- risk factors
- positron emission tomography
- image quality
- newly diagnosed
- ejection fraction
- machine learning
- patients undergoing
- diffusion weighted imaging
- magnetic resonance
- artificial intelligence