Kidney Transplantation and Diagnostic Imaging: The Early Days and Future Advancements of Transplant Surgery

Benjamens, Stan; Moers, Cyril; Slart, Riemer H. J. A.; Pol, Robert A.

doi:10.3390/diagnostics11010047

Cited by 7 publications

(7 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It should be emphasized that the success envisioned by combining imaging and AI in kidney transplantation will largely depend on strong and long-lasting collaborations between fields. In this regard, Benjamens et al recently made a call to encourage transplant organizations to aim for partnerships with diagnostic imaging societies [59]. We support this call, as it may lead to fruitful and innovative synergies further augmented by AI, with the potential to impact the long-term care of KTR.…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 78%

“…Still, many challenges plague this adoption as a standard, and future research will require broad inter-disciplinary initiatives to take full advantage of AI in the kidney transplantation field. Whether currently used and novel imaging modalities to study kidney transplant function prior to and post-kidney transplant may be enhanced by AI remains unexplored, yet huge potential is expected in upcoming years for the evaluation and follow-up of kidney transplant recipients [59]. It should be emphasized that the success envisioned by combining imaging and AI in kidney transplantation will largely depend on strong and long-lasting collaborations between fields.…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

See 1 more Smart Citation

Toward Advancing Long-Term Outcomes of Kidney Transplantation with Artificial Intelligence

Castillo-Astorga

Sotomayor

2021

Transplantology

View full text Add to dashboard Cite

After decades of pioneering advances and improvements, kidney transplantation is now the renal replacement therapy of choice for most patients with end-stage kidney disease (ESKD). Despite this success, the high risk of premature death and frequent occurrence of graft failure remain important clinical and research challenges. The current burst of studies and other innovative initiatives using artificial intelligence (AI) for a wide range of analytical and practical applications in biomedical areas seems to correlate with the same trend observed in publications in the kidney transplantation field, and points toward the potential of such novel approaches to address the aforementioned aim of improving long-term outcomes of kidney transplant recipients (KTR). However, at the same time, this trend underscores now more than ever the old methodological challenges and potential threats that the research and clinical community needs to be aware of and actively look after with regard to AI-driven evidence. The purpose of this narrative mini-review is to explore challenges for obtaining applicable and adequate kidney transplant data for analyses using AI techniques to develop prediction models, and to propose next steps in the field. We make a call to act toward establishing the strong collaborations needed to bring innovative synergies further augmented by AI, which have the potential to impact the long-term care of KTR. We encourage researchers and clinicians to submit their invaluable research, including original clinical and imaging studies, database studies from registries, meta-analyses, and AI research in the kidney transplantation field.

show abstract

Section: Conclusion and Future Perspectivesmentioning

confidence: 78%

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Toward Advancing Long-Term Outcomes of Kidney Transplantation with Artificial Intelligence

Castillo-Astorga

Sotomayor

2021

Transplantology

View full text Add to dashboard Cite

show abstract

“…An active transplantation practice has been functioning for more than half a century worldwide and is based on interdisciplinary collaboration between physicians and scientists [9]. The historical development of transplantology and diagnostic imaging has…”

Section: History Of the Development Of Renal Transplantation And Diag...mentioning

confidence: 99%

Significance of nuclear medicine methods for diagnosis and predicting the course of renal transplantation complications

Satyr,

Noverko,

Pantus

et al. 2024

CSIC

View full text Add to dashboard Cite

Renal transplantation is a replacement-based therapeutic method in end-stage kidney failure.It is based on the interdisciplinary collaboration between scientists and clinicians, which match together the achievements of surgery, immunology, and radiation diagnostics. After transplantation the complications appear, which can be associated with status of the graft, the immunological factors of compatibility between the donor and the recipient, the surgical intervention. Early diagnosis and forehanded treatment of such complications is important, as it helps to evaluate and predict the functionality of the graft. In this article we discuss the complications after kidney transplantation: the reasons of their occurrence, pathogenesis, clinical features, and radiation imaging signs. The opportunities of the radiology methods for the differential diagnostics of complications which appear before, during or after the surgery, are shown. We pay the main attention to the nuclear medicine methods, especially the dynamic renal scintigraphy (DRSG) as a method for the evaluation of graft functionality. This is a safe, accessible and non-invasive method for evaluation the quantitative and qualitative parameters of kidney function. DRSG consequently characterizes the perfusion, the extraction and the excretion in the studied organ. We display the standard DRSG protocols using [99mTc] Tc-MAG3 and [99mTc] Tc-DTPA radiopharmaceuticals. We analyze investigations of kinetic perfusion and parenchymal DRSG parameters and their importance for differential diagnosis of complications, prognosis on delayed and slow graft function, short-term and long-term graft functionality assessment. We make an accent on the prognostic importance of the dynamic changes visible on DRSG. We discuss the perspectives of further development of scintigraphic methods for the assessment of kidney grafts. It is related to the implementation of high-quality 3-dimentional visualization, newest radiopharmaceuticals. We conclude the importance of the nuclear medicine as an element of multidisciplinary approach in transplantology.

show abstract

“…3,4 Older (age ≥65) KT recipients, a significant yet highly vulnerable subpopulation of KT recipients, form an increasing percentage of KT recipients, from 7% in 1999 to 21% in 2019. 5 This observed trend may be attributed to a combination of factors, including advancements in medical technology, 6 improvements in healthcare delivery, 7 and changes in organ allocation system policies over time. 8 In particular, the implementation of kidney allocation system in 2014, which included time after dialysis initiation in a candidate’s waiting time and longevity matching, 9 brought significant improvements in access to KT.…”

mentioning

confidence: 99%

Evolving Trends in Kidney Transplant Outcomes Among Older Adults: A Comparative Analysis Before and During the COVID-19 Pandemic

Li,

Menon,

et al. 2023

Transplantation Direct

View full text Add to dashboard Cite

Background. Advancements in medical technology, healthcare delivery, and organ allocation resulted in improved patient/graft survival for older (age ≥65) kidney transplant (KT) recipients. However, the recent trends in these post-KT outcomes are uncertain in light of the mounting burden of cardiovascular disease, changing kidney allocation policies, heterogeneity in candidates’ risk profile, and the coronavirus disease 2019 pandemic. Thus, we examined secular trends in post-KT outcomes among older and younger KT recipients over the last 3 decades. Methods. We identified 73 078 older and 378 800 younger adult (aged 18–64) recipients using Scientific Registry of Transplant Recipients (1990–2022). KTs were grouped into 6 prepandemic eras and 1 postpandemic-onset era. Kaplan-Meier and Cox proportional hazards models were used to examine temporal trends in post-KT mortality and death-censored graft failure. Results. From 1990 to 2022, a 19-fold increase in the proportion of older KT recipients was observed compared to a 2-fold increase in younger adults despite a slight decline in the absolute number of older recipients in 2020. The mortality risk for older recipients between 2015 and March 14, 2020, was 39% (adjusted hazard ratio [aHR] = 0.61, 95% confidence interval [CI], 0.50-0.75) lower compared to 1990–1994, whereas that for younger adults was 47% lower (aHR = 0.53, 95% CI, 0.48-0.59). However, mortality risk during the pandemic was 25% lower (aHR = 0.75, 95% CI, 0.61-0.93) in older adults and 37% lower in younger adults (aHR = 0.63, 95% CI, 0.56-0.70) relative to 1990–1994. For both populations, the risk of graft failure declined over time and was unaffected during the pandemic relative to the preceding period. Conclusions. The steady improvements in 5-y mortality and graft survival were disrupted during the pandemic, particularly among older adults. Specifically, mortality among older adults reflected rates seen 20 y prior.

show abstract

Kidney Transplantation and Diagnostic Imaging: The Early Days and Future Advancements of Transplant Surgery

Cited by 7 publications

References 63 publications

Toward Advancing Long-Term Outcomes of Kidney Transplantation with Artificial Intelligence

Toward Advancing Long-Term Outcomes of Kidney Transplantation with Artificial Intelligence

Significance of nuclear medicine methods for diagnosis and predicting the course of renal transplantation complications

Evolving Trends in Kidney Transplant Outcomes Among Older Adults: A Comparative Analysis Before and During the COVID-19 Pandemic

Contact Info

Product

Resources

About