Evidence map›Paper›PMID 40180766›Full record

Observational studyJournal of ultrasound2025

Multiparametric ultrasound for non-invasive evaluation of kidney graft function.

Maria Irene Bellini, Sergio Angeletti, Daniele Fresilli, Mattia Di Segni, Gian Marco Lo Conte, Raponi Flavia, Manuela Garofalo, Renzo Pretagostini, Corrado De Vito, Patrizia Pacini and 5 more

Erratum issuedAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of ultrasound, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

15 authors.

Maria Irene BelliniDepartment of Surgery, Sapienza University of Rome, 00161, Rome, Italy.
Sergio AngelettiDepartment of Radiological, Oncological, and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy. sergio.angeletti@uniroma1.it.ORCID http://orcid.org/0009-0000-8998-5376
Daniele FresilliDepartment of Radiological, Oncological, and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Mattia Di SegniASL Rieti, via del Terminillo 42, Rieti, Italy.
Gian Marco Lo ConteDepartment of Radiological, Oncological, and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Raponi FlaviaDepartment of Radiological, Oncological, and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Manuela GarofaloDepartment of Radiological, Oncological, and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Renzo PretagostiniDepartment of General and Specialty Surgery, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Corrado De VitoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185, Rome, Italy.
Patrizia PaciniDepartment of Radiological, Oncological, and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Vito D'AndreaDepartment of Surgery, Sapienza University of Rome, 00161, Rome, Italy.
Angelo BarbatoASL Rieti, via del Terminillo 42, Rieti, Italy.
Francesco M DrudiDepartment of Radiological, Oncological, and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Marcello CaratozzoloDepartment of Radiological, Oncological, and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.
Vito CantisaniDepartment of Radiological, Oncological, and Pathological Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal transplant (RT) remains the optimal treatment for end-stage renal disease and early complications might be detected in the postoperative period to improve long-term outcomes. To this regard, contrast enhanced ultrasound (CEUS) could be utilized to evaluate RT functional recovery and potentially detect acute rejection (AR) and/or renal ischemia signs. MATERIALS AND

methodsObservational study of 107 consecutive patients waitlisted for RT. Participants underwent conventional ultrasound (CUS) and color-doppler-ultrasound (CDUS) to evaluate resistive index of segmental and interlobar arteries and quantitative CEUS techniques recording the following perfusion parameters: peak intensity (PI-c), rising time (RT-c), area under (AUC-c) the time intensity curve (TIC), time to peak (TTP-c) and mean transit time (MTT-c).

resultsCEUS parameters sensibility and specificity to predict AR in the early post-operative period resulted in: 90% and 69% for PI-c, 95% and 64% for RT-c, 85% and 65% for AUC-c. The overall diagnostic performance of these three CEUS parameters in comparison to the same in CUS and CDUS resulted in a sensitivity and specificity of 95% and 49%, versus 85% and 46%, respectively, therefore CEUS examination with the analysis of PI-c, RT-c and AUC-c values increases the diagnostic sensitivity in predicting AR by approximately 15-20% compared to CDUS and by 30-40% compared to CUS.

conclusionCEUS could be routinely included in RT follow-up, as it shows to be a non-invasive helpful diagnostic tool for early detection of renal graft complications, selecting patients eventually in need of further confirmation.

Indexed as

Graft RejectionKidneyKidney TransplantationUltrasonography, Doppler, ColorAdultAgedContrast MediaFemaleHumansMaleMiddle AgedSensitivity and SpecificityUltrasonographyContrast MediaAcute rejectionCEUSRenal transplantRenal vascularization

Identifiers

PMID40180766
PMCPMC12145335

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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.