Evidence map›Paper›PMID 40439720›Full record

ReviewAbdominal radiology (New York)2025

Multimodality diagnostic imaging and role of interventional radiology in pancreas transplantation.

Hideyuki Torikai, Jordan Swensson, Eric Fromke, Klaus Hagspiel, John Angle, Rachita Khot

Abstract readReview
In one paragraph

Review in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hideyuki TorikaiUniversity of Virginia Health System, Charlottesville, VA, USA. ht4az@uvahealth.org.
Jordan SwenssonIndiana University, Bloomington, IN, USA.
Eric FromkeUniversity of Virginia Health System, Charlottesville, VA, USA.
Klaus HagspielUniversity of Virginia Health System, Charlottesville, VA, USA.
John AngleUniversity of Virginia Health System, Charlottesville, VA, USA.
Rachita KhotUniversity of Virginia Health System, Charlottesville, VA, USA. rk9j@uvahealth.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreas transplantation remains a key therapeutic option for patients with type 1 diabetes mellitus. Despite advances in medical management, post-transplant complications continue to pose significant risks to graft survival, making early detection essential for optimizing patient outcomes. Given the complexity of pancreas transplantation, multimodality imaging plays a central role in evaluating graft function and identifying complications. Each modality provides pertinent information based on the complication suspected. This review outlines imaging strategies essential for assessing graft viability, distinguishing expected postoperative findings from pathologic conditions, and recognizing early signs of graft dysfunction. It also highlights the expanding role of interventional radiology, emphasizing minimally invasive techniques for effectively managing post-transplant complications and promoting better graft survival. By integrating current imaging protocols with interventional methodologies, this review offers radiologists and transplant clinicians a practical framework to optimize clinical decision-making, improve complication management, and enhance long-term graft outcomes.

Indexed as

Multimodal ImagingPancreas TransplantationPostoperative ComplicationsRadiography, InterventionalRadiology, InterventionalGraft SurvivalHumansPancreasContrast-enhanced ultrasoundCTInterventional radiologyMRIPancreas transplantUltrasound

Identifiers

PMID40439720
PMCPMC12602581

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.