Evidence map›Paper›PMID 29530040›Full record

ArticleBMC veterinary research2018

Quantitative evaluation of canine urinary bladder transitional cell carcinoma using contrast-enhanced ultrasonography.

Francesco Macrì, Simona Di Pietro, Cyndi Mangano, Michela Pugliese, Giuseppe Mazzullo, Nicola M Iannelli, Vito Angileri, Simona Morabito, Massimo De Majo

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 26 citations in OpenAlex.

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  6. 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
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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

9 authors at 1 institution in 1 country.

Francesco MacrìDepartment of Veterinary Sciences, University of Messina, Polo Universitario Annunziata, 98168, Messina, Italy.
Simona Di PietroDepartment of Veterinary Sciences, University of Messina, Polo Universitario Annunziata, 98168, Messina, Italy.
Cyndi ManganoDepartment of Veterinary Sciences, University of Messina, Polo Universitario Annunziata, 98168, Messina, Italy.
Michela PuglieseDepartment of Veterinary Sciences, University of Messina, Polo Universitario Annunziata, 98168, Messina, Italy. mpugliese@unime.it.ORCID http://orcid.org/0000-0002-0440-5457
Giuseppe MazzulloDepartment of Veterinary Sciences, University of Messina, Polo Universitario Annunziata, 98168, Messina, Italy.
Nicola M IannelliDepartment of Veterinary Sciences, University of Messina, Polo Universitario Annunziata, 98168, Messina, Italy.
Vito AngileriDepartment of Veterinary Sciences, University of Messina, Polo Universitario Annunziata, 98168, Messina, Italy.
Simona MorabitoDepartment of Veterinary Sciences, University of Messina, Polo Universitario Annunziata, 98168, Messina, Italy.
Massimo De MajoDepartment of Veterinary Sciences, University of Messina, Polo Universitario Annunziata, 98168, Messina, Italy.
University of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn veterinary medicine, contrast-enhanced ultrasonography allowed the accurate quantification of liver, splenic and kidney vascularization in healthy dogs and the differentiation between malignant and benign hepatic, renal, and splenic nodules in dogs and cats based on perfusion patterns. The utility of contrast-enhanced ultrasonography in other applications is still under study. The aim of this study was to develop diagnostic criteria by contrast-enhanced ultrasonography in 8 client-owned adult dogs affected by urinary bladder transitional cell carcinoma with definitive diagnosis made by cytopathologic evaluation after suction biopsy. The contrast enhancement pattern and the quantification of blood flow parameters of this tumor were reported.

resultsExaminations with B-mode, Doppler ultrasonography and contrast-enhanced ultrasonography were performed in all not sedated dogs. Assessments of bladder masses and bladder wall infiltration were performed. Each dog received 2 bolus injections of sulfur hexafluoride during the contrast-enhanced ultrasonography. Quantitative analysis of the contrast-enhanced ultrasonography images were performed. For each dog, one region of interest was manually drawn around the entire tumor. Software analysis of contrast-enhanced time-intensity curves was used to identify peak enhancement, time to peak enhancement, regional blood volume, regional blood flow, and mean transit time. Contrast-enhanced ultrasonography showed an avid enhancement of the tumour tissue, with a heterogeneous or homogeneous pattern. The exam also showed the loss of planes between the lesion and the muscular layer. The presence of vascularized tissue through the bladder wall confirms the infiltrative feature of the tumour. Post-processing quantitative analysis showed a time-intensity curve with a rapid wash-in, a low level of signal intensity and a slow wash-out.

conclusionsContrast-enhanced ultrasonography provided useful clinical information and defined a vascular enhancement patterns and calculated parameters associated with TCC. It may be a useful, noninvasive and reproducible tool for detecting these tumors in dogs.

Indexed as

AnimalsBiopsyCarcinoma, Transitional CellContrast MediaDog DiseasesDogsFemaleMaleUltrasonographyUrinary BladderUrinary Bladder NeoplasmsContrast MediaContrast-enhanced ultrasonographyDiagnostic ultrasoundDogQontrastSonovueUrinary bladder

Identifiers

PMID29530040
PMCPMC5848439
OpenAlexW2800568612

What OpenQuestion holds

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LicenceCC BY
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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.