Evidence map›Paper›PMID 35679465›Full record

ArticleVeterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association2022

Fall time may be a reliable discriminator between neoplastic and non-neoplastic urinary bladder lesions in dogs undergoing contrast-enhanced ultrasound: a pilot study.

Carlotta Spediacci, Martina Manfredi, Giulia Sala, Tiziana Liuti, Nicolas Israeliantz, Davide Danilo Zani, Mauro Di Giancamillo, Maurizio Longo

Open access · hybridAbstract read
In one paragraph

Article in Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 33% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Fall time may be a reliable discriminator between neoplastic and non-neoplastic urinary bladder lesions in dogs undergoing contrast-enhanced ultrasound: a pilot study.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2022
    Article
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

8 authors at 2 institutions in 2 countries.

Carlotta SpediacciDepartement of Veterinary Medicine and Animal Science (DIVAS), University of Milan, Street of University n. 6, Lodi (LO), 26900, Italy.ORCID https://orcid.org/0000-0002-2336-307X
Martina ManfrediDepartement of Veterinary Medicine and Animal Science (DIVAS), University of Milan, Street of University n. 6, Lodi (LO), 26900, Italy.ORCID https://orcid.org/0000-0002-1721-3884
Giulia SalaDepartement of Veterinary Medicine and Animal Science (DIVAS), University of Milan, Street of University n. 6, Lodi (LO), 26900, Italy.
Tiziana LiutiRoyal Dick School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, UK.ORCID https://orcid.org/0000-0002-9736-9159
Nicolas IsraeliantzRoyal Dick School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, UK.ORCID https://orcid.org/0000-0002-8472-094X
Davide Danilo ZaniDepartement of Veterinary Medicine and Animal Science (DIVAS), University of Milan, Street of University n. 6, Lodi (LO), 26900, Italy.ORCID https://orcid.org/0000-0002-0444-2784
Mauro Di GiancamilloDepartement of Veterinary Medicine and Animal Science (DIVAS), University of Milan, Street of University n. 6, Lodi (LO), 26900, Italy.
Maurizio LongoDepartement of Veterinary Medicine and Animal Science (DIVAS), University of Milan, Street of University n. 6, Lodi (LO), 26900, Italy.ORCID https://orcid.org/0000-0002-6838-8430
University of Milan · ITUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contrast-enhanced ultrasound (CEUS) can provide quantitative information on enhancement patterns and perfusion of lesions, based on time-intensity curves (TICs). No published studies have compared CEUS parameters in neoplastic and non-neoplastic urinary bladder lesions in dogs. The aim of the current prospective, pilot study was to quantitatively characterize the CEUS pattern of neoplastic and non-neoplastic urinary bladder lesions in dogs, assessing the influence of contrast arrival time (CAT) on the final appearance of the curves. Fourteen dogs with cyto-histopathological diagnoses were included (seven malignant and seven inflammatory lesions). B-mode ultrasound was performed followed by CEUS examination after an intravenous bolus injection of 0.04 mL/kg of contrast medium, and TICs were elaborated by dedicated software. Receiver operating characteristic curves (ROC) for each TIC parameter were obtained. Neoplastic lesions had subjectively shorter rise time (RT), time to peak (TTP) and fall time (FT) than inflammatory lesions. Based on ROC curve analyses, fall time ≥ 10.49 s was the most reliable parameter for diagnosing non-neoplastic disease in this small sample of dogs (area under the curve [AUC] 0.75, sensitivity 83.33%, specificity 66.67%). No difference was found between ROCs calculated for each parameter of TICs by adding or removing CAT. Results of the current study provide background for future, larger scale studies evaluating use of a CEUS FT threshold of 10.49 s as a possible discriminator for urinary bladder neoplastic lesions in dogs.

Indexed as

Contrast MediaUrinary BladderAnimalsDogsPilot ProjectsROC CurveUltrasonographyContrast MediaBladder DiseaseCanineNeoplasiaPolypoid cystitisQuantitative CEUS

Identifiers

PMID35679465
PMCPMC9796640
OpenAlexW4281641111

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.