Evidence map›Paper›PMID 29989254›Full record

ArticleVeterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association2018

Canine urinary bladder transitional cell carcinoma tumor volume is dependent on imaging modality and measurement technique.

Andrew J Leffler, Eric T Hostnik, Emma E Warry, Gregory G Habing, Danelle M Auld, Eric M Green, Wm Tod Drost

Abstract readComparative Study
In one paragraph

Article in Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Incorporating Hypofractionated Radiotherapy Improves Management of Canine Urothelial Carcinoma: A Retrospective Study.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2026
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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

7 authors.

Andrew J LefflerDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine,  The Ohio State University, Columbus, OH, 43210.
Eric T HostnikDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine,  The Ohio State University, Columbus, OH, 43210.ORCID http://orcid.org/0000-0002-7651-4775
Emma E WarryDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine,  The Ohio State University, Columbus, OH, 43210.
Gregory G HabingDepartment of Preventative Medicine, College of Veterinary Medicine,  The Ohio State University, Columbus, OH, 43210.
Danelle M AuldDiagnostic Imaging and Radiation Oncology, Veterinary Medical Center, The Ohio State University, Columbus, OH, 43210.
Eric M GreenDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine,  The Ohio State University, Columbus, OH, 43210.
Wm Tod DrostDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine,  The Ohio State University, Columbus, OH, 43210.

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI WANCAI YANG · 1985 to 2026
$132.3M
The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
NCATS NIH HHS UL1 TR001070NCATS NIH HHS UL1TR001070NCI NIH HHS P30 CA016058NCI NIH HHS P30CA016058
6 · The paper itself

Abstract

Transitional cell carcinoma is the most common cancer of the canine urinary tract. The inconsistent appearance of transitional cell carcinoma in patients introduces error if applying mathematic models for extrapolating total tumor volume from linear measurements. Reliable techniques to assess tumor size are important for monitoring treatment response. A method comparison study was performed comparing four techniques for calculating tumor volume were compared: (1 and 2) contoured tracing of tumor margins using serial computed tomography (CT) images using pre-(1) and postintravenous (2) contrast medium studies, (3) longest three linear dimensions using CT, and (4) longest three linear dimensions on abdominal ultrasound. Volumes of the transitional cell carcinoma tumor calculated by CT tracing techniques were significantly smaller than volumes calculated with an ellipsoid mathematic model using the linear measurements (P < 0.01). Intravenous contrast medium did not significantly change the volumes calculated from tracing tumor margins on CT for observer B; however, volumes differed for observer A. The volumes extrapolated from linear measurements using CT and ultrasound did not differ significantly. The interobserver reliability was highest for the precontrast CT contoured technique and was lowest using the ultrasound linear technique. Tumor volumes differed significantly between techniques of contoured tracing of the tumor margins on serial CT images compared to calculation of tumor volume from linear dimensions. The calculated volume of a transitional cell carcinoma depends upon the technique used. Characterizing the response of urinary bladder transitional cell carcinoma tumor size to therapy differs based on the method and modality used.

Indexed as

Contrast MediaTumor BurdenAnimalsCarcinoma, Transitional CellDog DiseasesDogsFemaleMaleMicroscopy, AcousticReproducibility of ResultsTomography, X-Ray ComputedUrinary Bladder NeoplasmsContrast Mediacomputed tomographydogmeasurementresponse evaluation criteria in solid tumorsultrasonographyurinary bladder cancer

Identifiers

PMID29989254
PMCPMC6218272

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Registered trials

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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.