Evidence map›Paper›PMID 42440448›Full record

ArticleFrontiers in transplantation2026

A novel preoperative simulation approach for pediatric kidney transplantation to support donor-recipient size matching using dialysis fluid-enhanced CT imaging and 3D printing.

Julia Bojstedt, Lena Gordon Murkes, Vasileios Tsirkos, Johan Nordström

Abstract read
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Article in Frontiers in transplantation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Julia BojstedtDivision of Perioperative Medicine and Intensive Care (PMI), Karolinska University Hospital, Stockholm, Sweden.
Lena Gordon Murkes3D Center, Karolinska University Hospital, Stockholm, Sweden.
Vasileios Tsirkos3D Center, Karolinska University Hospital, Stockholm, Sweden.
Johan NordströmDivision of Transplantation Surgery, Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institute, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Size mismatch between adult donor kidneys and small pediatric recipients remains a significant technical challenge in pediatric kidney transplantation. To address this, we explored a novel preoperative method to evaluate donor-recipient anatomical compatibility. Methods: Three pediatric recipients underwent pre-transplant assessments using segmented CT data from living donors to generate patient-specific 3D-printed kidney models. Digital simulation was performed by virtually positioning the donor kidney within fluid-enhanced recipient CT datasets acquired following intraperitoneal dialysis fluid administration. It was hypothesized that this combined approach would enable objective preoperative assessment of spatial fit and surgical feasibility. Results: The preoperative simulation and modeling approach contributed to successful kidney transplantation in all three children without intraoperative complications attributable to graft placement. Postoperative recovery was uneventful, and graft function remained satisfactory at 6-month follow-up. Conclusion: The integration of 3D-printed donor kidneys with digital simulation based on dialysis fluid-enhanced CT imaging offers a feasible approach for preoperative donor-recipient size matching in small pediatric recipients. This method may enhance surgical planning, allow safer use of living-donor organs in very small children, and reduce time spent on dialysis.

Indexed as

computed tomographydonor-recipient mismatchesgraft accommodationimage segmentationliving-donor kidney transplantationpediatric kidney transplantationthree-dimensional printing (3D printing)virtual surgical planning (VSP)

Identifiers

PMID42440448
PMCPMC13333419

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.